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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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The purpose is to explore the issues that arise when involving clients, in this case health care professionals, in the process of model building. The study background and a detailed account of the modelling process are presented. The focus of the paper is on some general themes that can be discovered running through the process. These offer some tentative insights into client involvement in system dynamics modelling, in particular its application in health care. Given this study's first promising results, further collaborative studies are encouraged.",{"EN":991},"Client Involvement in Simulation Model Building: Hints and Insights from a Case Study in a London Hospital",{"VOID":993},"D.F. Andersen and G.P. Richardson, Scripts for group model building, System Dynamics Review 13 (1997) 107–129.\nD.F. Andersen, G.P. Richardson and J.A.M. Vennix, Group model building: Adding more science to the craft, System Dynamics Review 13 (1997) 187–201.\nC. Argyris, Overcoming Organizational Defences: Facilitating Organizational Learning (Allyn and Bacon, Boston, MA, 1990).\nAudit Commission, By Accident or Design: Improving A&E Services in England and Wales (HMSO, London, 1996).\nP.B. Checkland, Achieving 'desirable and feasible' change: An application of soft systems methodology, Journal of the Operational Research Society 36 (1985) 821–831.\nR. Davies and T. Davies, Using simulation to plan health service resources: A discussion paper, Journal of the Royal Society of Medicine 79 (1986) 154–157.\nA. de Geus, Planning as learning, Harvard Business Review 66 (1988) 70–74.\nDepartment of Health, The Patient's Charter (HMSO, London, 1996).\nC. Eden and D. Sims, On the nature of problems in consulting practice, Omega 7 (1979) 119–127.\nC. Eden, D. Sims and S. Jones, Policy analysis and organisational politics, European Journal of Operational Research 3 (1979) 207–215.\nE. El-Darzi, C. Vasilakis, T. Chaussalet and P.H. Millard, A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in hospitals, Health Care Management Science 1 (1998) 143–149.\nJ.W. Forrester, Industrial Dynamics (MIT Press, Cambridge, MA, 1961).\nJ.W. Forrester, Principles of Systems (MIT Press, Cambridge, MA, 1968).\nJ.W. Forrester, \"The\" model versus a modelling \"process\" (republished 1985), System Dynamics Review 1 (1971) 133–134.\nJ.W. Forrester, Fourteen 'obvious truths', System Dynamics Review 3 (1987) 156–159.\nJ.W. Forrester, Policies, decisions and information sources for modelling, European Journal of Operational Research 59 (1992) 42–63.\nJ.W. Forrester and P.M. Senge, Tests for building confidence in system dynamics models, in: System Dynamics: TIMS Studies in the Management Sciences, eds. A.A. Lagasto, J.W. Forrester and J.M. Lyneis (North-Holland, Oxford, 1980).\nS.I. Gass, Decision-aiding models: Validation, assessment, and related issues for policy analysis, Operations Research 31 (1983) 603–631.\nA.K. Graham, Parameter estimation in system dynamics modelling, in: Elements of the System Dynamics Method, ed. J. Randers (MIT Press, Cambridge, MA, 1980).\nD.C. Lane, Modelling as learning: A consultancy methodology for enhancing learning in management teams, European Journal of Operational Research 59 (1992) 64–84.\nD.C. Lane, The road not taken: Observing a process of issue selection and model conceptualization, System Dynamics Review 9 (1993) 239– 264.\nD.C. Lane, Diary of an oil market model: How a system dynamics modelling process was used with managers to resolve conflict and to generate insight, in: Systems Modelling for Energy Policy, eds. D.W. Bunn and E.R. Larsen (Wiley, Chichester, 1997).\nD.C. Lane, System Dynamics Modelling of Patient Flows Through Acute Hospitals (Report for the NHS Executive, London, 1999).\nD.C. Lane and J.V. Rosenhead, Emergency – But no accident – A system dynamics study of casualty waiting times in the British NHS, EuroHealth 4 (1998) 34–36.\nD.C. Lane, C. Monefeldt and J.V. Rosenhead, Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department, Journal of the Operational Research Society 51 (2000) 518–531.\nP.H. Millard and S.I. McClean (eds.), Go With The Flow: A Systems Approach to Healthcare Planning (Royal Society of Medicine Press, London, 1996).\nJ.D.W. Morecroft, Executive knowledge, models and learning, European Journal of Operational Research 59 (1992) 9–27.\nM. Morison, Methods in Sociology (Longman, London, 1986).\nT.H. Naylor and J.M. Finger, Verification of computer simulation models, Management Science 14 (1967) B92–B101.\nY.A. Ozcan and P. Smith, Towards a science of the management of health care, Health Care Management Science 1 (1998) 1–4.\nS. Peterson, Software for model building and simulation: An illustration of design philosophy, in: Modeling for Learning Organizations, eds. J.D.W. Morecroft and J.D. Sterman (Productivity Press, Portland, OR, 1994).\nM. Pidd, Computer Simulation in Management Science (Wiley, Chichester, 1992).\nG.P. Richardson, Feedback Thought in Social Science and Systems Theory (University Pennsylvania, Philadelphia, PA, 1991).\nG.P. Richardson and D.F. Andersen, Teamwork in group model building, System Dynamics Review 11 (1995) 113–137.\nG.P. Richardson and A.L. Pugh, Introduction to System Dynamics Modelling with DYNAMO (republished edition) (Productivity, Cambridge, MA, 1981).\nB. Richmond, P. Vescuso and S. Peterson, iThink™ Software Manuals (High Performance Systems, Hanover, NH, 1990).\nE.D. Roberts, Strategies for effective implementation of complex corporate models (1978 collection), in: Managerial Applications of System Dynamics, ed. E.B. Roberts (Productivity Press, Cambridge, MA, 1972).\nE.A.J.A. Rouwette, J.A.M. Vennix and T. von Mullekom, Group model building: A review of assessment studies, in: Proceedings of the 1999 International System Dynamics Conference, Wellington, New Zealand, eds. R.Y. Cavana, J.A.M. Vennix, E.A.J.A. Rouwette, M. Stevenson-Wright and J. Candlish (System Dynamics Society, Albany, NY, 1999).\nB. Roy, Decision science or decision-aid science?, European Journal of Operational Research 66 (1993) 184–203.\nRoyal College of Physicians, Tackling NHS Emergency Admissions: Policy into Practice (NHS Confederation, Birmingham, 1997).\nR.G. Sargent, Verfication and validation of simulation models, in: Progress in Modelling and Simulation, ed. F.E. Cellier (Academic Press, London, 1982).\nP.M. Senge, Catalyzing systems thinking within organizations, in: Advances in Organization Development, ed. F. Massarik (Ablex, Norwood, NJ, 1990).\nP. Smith, Large scale models and large scale thinking: The case of the health services, Omega 23 (1995) 145–157.\nJ.D. Sterman, Appropriate summary statistics for evaluating the historical fit of system dynamics models, Dynamica 10 (1984) 51–66.\nJ.D. Sterman, N. Repenning and F. Kofman, Unanticipated side effects of successful quality improvement programs: Exploring a paradox of organizational improvement, Management Science 43 (1997) 503–521.\nC.B. Tilanus, Failures and successes of quantitative methods in management, European Journal of Operational Research 19 (1985) 170–175.\nR.L. van Horn, Validation of simulation results, Management Science 17 (1971) 247–258.\nJ.A.M. Vennix, Group Model-Building: Facilitating Team Learning Using System Dynamics (Wiley, Chichester, 1996).\nJ.A.M. Vennix, Building consensus in strategic decision making: System dynamics as a Group Support System, Group Decision and Negotiation 4 (1995) 335–355.\nK.E.F. Watt, Why won't anyone believe us?, Simulation 28 (1977) 1–3.\nR.K. Yin, Case Study Research: Design and Methods (Sage, London, 1994).",{"VOID":995},"10.1023\u002FA:1023385019514","PUBLICATION","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1023385019514",[1000,1016,1029],{"id":1001,"sortIndex":32,"researcher":28,"roles":1002,"affiliations":1004,"properties":1013,"displayName":1015,"givenName":28,"familyName":28},"4636911e-fb1f-4a58-8842-518403ca60d5",[1003],"AUTHOR",[1005],{"id":1006,"sortIndex":32,"affiliation":1007,"properties":28},"6c3368ca-efe8-4ffd-b984-4a755e351396",{"id":1006,"createTime":28,"updateTime":28,"relativeEntities":1008,"slug":28,"properties":1009,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1012,"statistic":28},[],{"title":1010},{"VI":1011},"Interdisciplinary Institute of Management, London School of Economics and Political Science, University of London, London, UK",[],{"title":1014},{"VI":1015},"David C. 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date, relatively little work on priority setting has been carried out at a macro-level across major portfolios within integrated health care organizations. This paper describes a macro marginal analysis (MMA) process for setting priorities and allocating resources in health authorities, based on work carried out in a major urban health region in Alberta, Canada. MMA centers around an expert working group of managers and clinicians who are charged with identifying areas for resource re-allocation on an ongoing basis. Trade-offs between services are based on locally defined criteria and are informed by multiple inputs such as evidence from the literature and local expert opinion. The approach is put forth as a significant improvement on historical resource allocation patterns.",{"EN":1108},"The Evolution of PBMA: Towards a Macro-Level Priority Setting Framework for Health Regions",{"VOID":1110},"citation_journal_title=Journal of Health Services Research and Policy; citation_title=Priority setting in New Zealand: Translating principles into practice; citation_author=T. Ashton, N. Devlin, J. Cumming; citation_volume=5; citation_issue=3; citation_publication_date=2000; citation_pages=170-175; citation_id=CR1\ncitation_title=Economic evaluation; citation_inbook_title=Oxford Textbook of Public Health; citation_publication_date=2001; citation_id=CR2; citation_author=P. Auld; citation_author=C. Donaldson; citation_author=C. Mitton; citation_author=P. Shackley; citation_publisher=Oxford University Press\ncitation_journal_title=Social Science and Medicine; citation_title=The Oregon experiment; citation_author=J. Blumstein; citation_volume=45; citation_issue=4; citation_publication_date=1997; citation_pages=545-554; citation_id=CR3\ncitation_journal_title=Health Policy; citation_title=Economics, public health and health care purchasing: Reinventing the wheel?; citation_author=C. Donaldson; citation_volume=33; citation_publication_date=1995; citation_pages=79-90; citation_id=CR4\ncitation_title=Managing Medicare: The Pre-Requisite to Spending or Reform; citation_publication_date=2002; citation_id=CR5; citation_author=C. Donaldson; citation_author=C. Mitton; citation_author=G. Currie; citation_publisher=CD Howe Institute\ncitation_title=Why Are Some People Health and Others Not?; citation_publication_date=1994; citation_id=CR6; citation_author=R.G. Evans; citation_author=M.L. Barer; citation_author=T.R. Marmor; citation_publisher=Aldine De Gruyter\ncitation_journal_title=Canadian Medical Association Journal; citation_title=Devolving authority for health care in Canada's provinces: 2. Backgrounds, resources and activities of board members; citation_author=J. Lomas, G. Veenstra, J. Woods; citation_volume=156; citation_issue=4; citation_publication_date=1997; citation_pages=513-520; citation_id=CR7\ncitation_title=Our Certain Fate: Rationing in Health Care; citation_publication_date=1998; citation_id=CR8; citation_author=A. Maynard; citation_author=K. Bloor; citation_publisher=Office of Health Economics\ncitation_title=Setting Priorities and Managing Demand in the NHS; citation_publication_date=2000; citation_id=CR9; citation_author=S. McIver; citation_author=D. Baines; citation_author=C. Ham; citation_author=H. McLeod; citation_publisher=Health Services Management Centre, University of Birmingham\ncitation_journal_title=European Journal of Health Economics; citation_title=Priority setting for decision-makers: Using health economics in practice; citation_author=C. Mitton; citation_volume=3; citation_issue=4; citation_publication_date=2002; citation_pages=240-243; citation_id=CR10\ncitation_journal_title=Journal of Health Services Research and Policy; citation_title=Twenty-five years of program budgeting and marginal analysis in the health sector, 1974-1999; citation_author=C. Mitton, C. Donaldson; citation_volume=6; citation_issue=4; citation_publication_date=2001; citation_pages=239-248; citation_id=CR11\ncitation_journal_title=Health Policy; citation_title=Setting priorities in Canadian regional health authorities: A survey of key decision makers; citation_author=C. Mitton, C. Donaldson; citation_volume=60; citation_issue=1; citation_publication_date=2002; citation_pages=39-58; citation_id=CR12\nC. Mitton, S. Patten, H. Waldner and C. Donaldson, Priority setting in health authorities: A novel approach to a historical activity, Social Science and Medicine (2003) 1653-1663.\ncitation_title=Linking Health Outcomes to Priority Setting, Planning and Resource Allocation; citation_publication_date=1997; citation_id=CR14; citation_author=G. Mooney; citation_author=M. Haas; citation_author=R. Viney; citation_author=L. Cooper; citation_publisher=Center for Health Economics Research and Evaluation\ncitation_title=Choices for Health Care: A Practical Introduction to the Economics of Health Provision; citation_publication_date=1986; citation_id=CR15; citation_author=G. Mooney; citation_author=E. Russell; citation_author=R. Weir; citation_publisher=Macmillan\nNational Health Service, Corporate governance framework manual for primary care trusts, accessed February 20, 2002, at: http:\u002F\u002Fwww.doh. gov.uk\u002Fpct\u002F\ncitation_title=An Evaluation of Program Budgeting and Marginal Analysis Applied in South Australian Hospitals; citation_publication_date=1998; citation_id=CR17; citation_author=S. Peacock; citation_publisher=Center for Health Program Evaluation, Monash University\ncitation_title=Regional Health Authorities Act; citation_publication_date=1995; citation_id=CR18; citation_publisher=Queen's Printer of Alberta\ncitation_title=Remaking Health Care in America; citation_publication_date=2000; citation_id=CR19; citation_author=S.M. Shortell; citation_author=R.R. Gillies; citation_author=D.A. Anderson; citation_author=K.M. Erickson; citation_author=J.B. Mitchell; citation_publisher=Jossey-Bass",{"VOID":1112},"10.1023\u002FA:1026285809115","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1026285809115","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1023\u002FA:1026285809115.pdf",[1116,1140,1164,1179],{"id":1117,"sortIndex":32,"researcher":28,"roles":1118,"affiliations":1119,"properties":1137,"displayName":1139,"givenName":28,"familyName":28},"4624eb1f-33bd-47d4-9eba-2eaa73c0f9df",[1003],[1120,1128],{"id":1121,"sortIndex":32,"affiliation":1122,"properties":28},"8208872e-f6c0-40f9-a6ec-3c5da0d89860",{"id":1121,"createTime":28,"updateTime":28,"relativeEntities":1123,"slug":28,"properties":1124,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1127,"statistic":28},[],{"title":1125},{"VI":1126},"Centre for Health and Policy Studies, University of Calgary, Faculty of Medicine, Alberta, Canada",[],{"id":1129,"sortIndex":40,"affiliation":1130,"properties":1136},"da86f53d-9187-412c-85c1-a2406912da3e",{"id":1129,"createTime":28,"updateTime":28,"relativeEntities":1131,"slug":28,"properties":1132,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1135,"statistic":28},[],{"title":1133},{"VI":1134},"Division of Health Sciences, Curtin University, Perth, Australia",[],{},{"title":1138},{"VI":1139},"Mitton, Craig R.",{"id":1141,"sortIndex":40,"researcher":28,"roles":1142,"affiliations":1143,"properties":1161,"displayName":1163,"givenName":28,"familyName":28},"dde02357-a0ce-4990-86bf-79f5160b7547",[1003],[1144,1152],{"id":1145,"sortIndex":32,"affiliation":1146,"properties":28},"aa178b47-d1a1-4f49-bf8e-01d16cbcffff",{"id":1145,"createTime":28,"updateTime":28,"relativeEntities":1147,"slug":28,"properties":1148,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1151,"statistic":28},[],{"title":1149},{"VI":1150},"School of Population and Health Sciences and Business School, University of Newcastle upon Tyne, UK",[],{"id":1153,"sortIndex":40,"affiliation":1154,"properties":1160},"7e2a645b-8dc2-4451-86ee-948f76475278",{"id":1153,"createTime":28,"updateTime":28,"relativeEntities":1155,"slug":28,"properties":1156,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1159,"statistic":28},[],{"title":1157},{"VI":1158},"Department of Community Health Sciences, University of Calgary, Alberta, Canada",[],{},{"title":1162},{"VI":1163},"Donaldson, 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study applied the stochastic frontier cost function with inefficiency effects to estimate the association between quality of care and cost efficiency in institutional long-term care wards for the elderly in Finland. We used several clinical quality indicators for indicating adverse care processes and outcomes, based on the Resident Assessment Instrument (RAI)\u002FMinimum Data Set (MDS). Average cost inefficiency among the wards was 22%. We found an association between the clinical quality indicators and cost inefficiency. Higher prevalence of pressure ulcers was associated with higher costs, whereas the higher prevalence of use of depressants and hypnotics increased inefficiency.",{"EN":1258},"The Cost Efficiency and Clinical Quality of Institutional Long-Term Care for the Elderly",{"VOID":1260},"J. Newhouse, Toward a theory of nonprofit institutions: An economic model of a hospitals, American Economic Review 60 (1970) 64–74.\nJ. Laine, Pitkäaikaishoidon tehokkuus ja laatu vuosina 2000–2002, in R. Hjerppe, A. Kangasharju and R. Vuorento (eds.), Kunnalliset palvelut—Terveyden- ja vanhustenhuollon tuottavuus. Helsinki: VATT, 2003.\nJ.N. Morris, C. Hawes, B.E. Fries, C.D. Phillips, V. Mor, S. Katz, K. Murphy, M.L. Drugovich and A.S. Friedlob, Designing the national resident assessment instrument for nursing homes, The Gerontologist 30 (1990) 293–307.\nM. Vaarama, J. Luomahaara, A. Peiponen and P. Voutilainen, Koko kunta ikääntyneiden asialle. Näkökulmia ikääntyneiden itsenäisen selviytymisen sekä hoidon ja palvelun kehittämiseen, in Stakes, (ed), Raportteja. Helsinki: Stakes, 2001.\nJ. Laine, Selvitys sosiaalihuollon erityispalveluiden tuotantomalleista ja sopimusmenettelyistä. Helsinki: Stakes, 1999.\nA. Donabedian, The quality of care? How can it be assessed? JAMA 260 (1988) 1743–1748.\nD.R. Zimmermann, S.L. Karon and G.E.A. Arling, Development and testing of nursing home quality indicators, Health Care Finance Review 16 (1995) 107–140.\nB.E. Fries, J.R. Cooney and M. Leo, Resource utilization groups. A patient classification system for long–term care, Medical Care 23 (1985) 110–122.\nM. Rosko, J. Chilingerian, J. Zinn and W. Aaronson, The effects of ownership, operating environment, and strategic choices on nursing home efficiency, Medical Care 33 (1995) 1001–1021.\nS.-Y. Chou, Asymmetric information, ownership and quality of care: An empirical analysis of nursing homes, Journal of Health Economics 21 (2002) 293–311.\nJ. Newhouse, Frontier estimation: How useful a tool for health economics?, Journal of Health Economics 13 (1994) 317–322.\nA.O. Hirschman, Exit, Voice, and Loyalty. Cambridge, Massachusetts: Harvard University Press, 1970.\nP.J. Gertler and D.M. Waldman, Quality-adjusted cost functions and policy evaluation in the nursing home industry, Journal of Political Economy 100 (1992) 1232–1256.\nJ.L.T. Blank and E. Eggink, A quality-adjusted cost function in a regulated industry: The case of dutch nursing homes, Health Care Management Science 4 (2001) 201–211.\nM. Rosko, Cost efficiency of us hospitals: A stochastic frontier approach, Health Economics 10 (2001) 539–551.\nO. Olesen and N. Petersen, Incorporating quality into data envelopment analysis: A stochastic dominance approach, International Journal of Production Economics 39 (1995) 117–35.\nR.J. Weech-Maldonado, G. Neff and V. Mor, Does quality of care lead to better financial performance? The case of the nursing home industry., Health Care Management Review 28 (2003) 201–216.\nM.E. Dellefield, The relationship between nurse staffing in nursing homes and quality indicators, Journal of Gerontological Nursing 27 (2000) 14-28.\nC. Harrington, D. Zimmermann, S.L. Karon, J. Robinson and P. Beutel, Nursing home staffing and its relationship to deficiencies, Journal of Gerontology: Social Sciences 55 (2000) 278–287.\nGAO. Nursing Homes—Quality of Care More Related to Staffing than Spending, in GAO, T. G. A. O.-. ed., GAO Report. Washington: The General Accounting Office–GAO, 2002.\nK.J. Knox, E.C. Blankmeyer and J.R. Stutzman, Organizational efficiency and quality in texas nursing facilities, Health Care Management Science 6 (2003) 175–188.\nA. Noro, H. Finne-Soveri, M. Björkgren, U. Häkkinen, J. Laine, P. Vähäkangas, S. Kerppilä and R. Storbacka, RAI -tietojärjestelmän esittely ja kokemuksia pitkäaikaishoidon benchmarkingista. RAI -raportti 1\u002F2000. Helsinki: Stakes, 2001.\nC. Hawes, J. Morris, C. Phillips, V. Mor, B. Fries and S. Nonemaker, Reliability estimates for the minimum data set for nursing home resident assessment and care screening, The Gerontologist 35 (1995) 172-178.\nC. Hawes, J. Morris, C. Phillips, B. Fries, C. Murphy and V. Mor, Development of the nursing home resident assessment instrument in the USA, Age and Ageing 26–S2 (1997) 19–25.\nC. Murphy and J. Morris, The resident assessment instrument: Implications for quality, reimbursement and research., Generations 19 (1995) 43–46.\nB.E. Fries, D.P. Schneider, W.J. Foley, M. Gavazzi, R. Burke, and E. Cornelius, Refining a case-mix measure for nursing homes: Resource utilization groups (RUG-III), Medical Care 32 (1995) 668–685.\nM. Björkgren, U. Häkkinen, H. Finne-Soveri and B. Fries, Validity and reliability of Resource Utilization Groups (RUG-III) in Finnish long-term care facilities, Scandinavian Journal of Public Health (1999) 228-234.\nS. Karon and D. Zimmermann, Using indicators to structure quality improvement initiatives in long-term care, Quality Management in Health Care 4 (1996) 54–66.\nS. Kumbhakar, S. Ghosh and J. McGuckin, A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms., Journal of Business & Economic Statistics 9 (1991) 279–286.\nD. Reifscheider and R. Stevenson, Systematic departures from the frontier: A framework for the analysis of firm inefficiency, International Economic Review 32 (1991) 715–723.\nH.-J. Wang and P. Schmidt, One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels, Journal of Productivity Analysis 18 (2002) 129–144.\nG.E. Battese and T.J. Coelli, A stochastic frontier production function incorporating a model for technical inefficiency effects, Working Papers in Econometrics and Applied Statistics (1993).\nL. Crivelli, M. Filippini and D. Lunati, Regulation, ownership and efficiency in the swiss nursing home industry, International Journal of Health Care Finance and Economics 2 (2002) 79–97.\nS.T. Folland and R.A. Hofler, How reliable are hospital efficiency estimates? Exploiting the dual to homothetic production, Health Economics 10 (2001) 683–698.\nS. Zuckerman, J. Hadley and L. Iezzoni, Measuring hospital efficiency with frontier cost functions, Journal of Health Economics 13 (1994) 255–280.\nT. Li and R. Rosenman, Cost inefficiency in washington hospitals: A stochastic frontier approach using panel data, Health Care Management Science 4 (2001) 73–81.\nM. Linna, Measuring hospital cost efficiency with panel data models, Health Economics 7 (1998) 415–427.\nG.E. Battese and T.J. Coelli, A model for technical inefficiency effects in stochastic frontier production function for panel data, Empirical Economics 20 (1995) 325–332.\nC.J. Huang and J.T. Liu, A non-neutral stochastic frontier production function, Journal of Productivity Analysis 5 (1994) 171–180.\nS. Ngwenya, G. Battese and E. Fleming, The relationship between farm size and the technical inefficiency of production of wheat farmers in the eastern free state province of South Africa, Agrekon 36 (1997) 283–301.\nM.D. Rosko, Performance of U.S. Teaching Hospitals: A panel analysis of cost inefficiency, Health Care Management Science 7 (2004) 7-16.\nW. Greene, LIMDEP 6.0. User’s Manual and Reference Guide. Version 6.0. New York: Belport: Econometric Software, Inc., 1992.\nT. Coelli, A Guide to FRONTIER version 4.1: A computer program for stochastic frontier production and cost function estimation, CEPA Working Paper: Department of Econometrics, University of New England, Armidale NSW Australia, 1996.\nD.A. Kodde and F.C. Palm, Wald criteria for jointly testing equality and inequality restrictions, Econometrica 54 (1986) 1243-1248.\nS.W. Frame and T.J. Coelli, U.S. Financial services consolidation: The case of corporate credit unions, Review of Industrial Organization 18 (2001) 229–242.\nM. Björkgren, U. Häkkinen and M. Linna, Measuring efficiency of long-term care units in finland, Health Care Management Science 4 (2001) 193–200.\nN. Ikegami, J.P. Hirdes and I. Carpenter, Measuring the quality of long-term care in institutional and community setting, in OEDC (ed.), Measuring UP: Improving Health System Performance in OECD Countries. Paris: OECD, 2002.\nCMS. Identification and Evaluation of Existing Quality Indicators that are Approriate for Use in Long-Term Care Setting, in Inc, A. A. (ed.), The Center for Medicare and Medicaid Services (CMS), 2001.\nA. Street, How much confidence should we place in efficiency estimates?, Health Economics 12 (2003) 895–907.",{"VOID":1262},"10.1007\u002Fs10729-005-0397-3","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10729-005-0397-3",[1265,1280,1293,1306],{"id":1266,"sortIndex":32,"researcher":28,"roles":1267,"affiliations":1268,"properties":1277,"displayName":1279,"givenName":28,"familyName":28},"3d98cb9f-455f-4163-a0a4-3d05c0458421",[1003],[1269],{"id":1270,"sortIndex":32,"affiliation":1271,"properties":28},"c8c00632-6b9e-4b6f-a8ea-a181c1100de3",{"id":1270,"createTime":28,"updateTime":28,"relativeEntities":1272,"slug":28,"properties":1273,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1276,"statistic":28},[],{"title":1274},{"VI":1275},"Centre for Health Economics at Stakes—CHESS, Helsinki",[],{"title":1278},{"VI":1279},"Juha 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escalating healthcare costs and increasing concerns about optimizing use of medicine, there is an unresolved debate over years around the potential impact of pharmaceutical promotion on physicians’ prescribing behaviors. What should be the appropriate balance of promotion dollars to physicians? We use three major brands in the US antibiotic universe to explore this issue, presenting a theoretical framework for better understanding the cause-and-effect relationship between common promotional spending and prescription responsiveness. Using simulations we demonstrate that neural networks guided by genetic algorithm-partial least squares is able to provide managers with better understanding of physicians’ prescribing activities without an appreciably lower predictive accuracy when compared to that obtained by a standalone neural network modeling.",{"EN":1385},"Understanding the effects of pharmaceutical promotion: a neural network approach guided by genetic algorithm-partial least squares",{"VOID":1387},"Liebman M (1997) Hard facts about a soft spend; how print advertising pays off. Med Mark Media 32(4):66–74\nWestfall JM, McCabe J, Nicholas RA (1997) Personal use of drugs samples by physicians and office staff. J Am Med Assoc 278(2):141–143\nChew LD, O’ Young TS, Hazlet TK, Bradley KA, Maynard C, Lessler DS (2000) A physician survey of the effect of drug sample availability on physicians’ behavior. J Gen Intern Med 15(7):478–483\nRosenthal MB, Berndt ER, Donohue JM, Frank RG, Epstein AM (2002) Promotion of prescription drugs to consumers. N Engl J Med 346(7):498–505\nWolfe SM (2002) Direct-to-consumer advertising—education or emotion promotion? N Engl J Med 346(7):524–526\nMa J, Stafford RS, Cockburn IM, Finkelstein SN (2003) A statistical analysis of the magnitude and composition of drug promotion in the United States in 1998. Clin Ther 25(5):1503–1517\nRosenthal MB, Berndt ER, Donohue JM, Epstein AM, Frank RG (2003) Demand effects of recent changes in prescription drug promotion. Retrieved April 30, 2007 from The Henry J. Kaiser Family Foundation homepage\nFüsun FG, Franklin C, Elina P, Kannan S (2001) Promotion of prescription drugs and its impact on physicians’ choice behavior. J Mark 65(7):79–90\nGroves KEM, Sketris I, Tett SE (2003) Prescription drug samples—does this marketing strategy counteract for quality of medicines? J Clin Pharm Ther 28:259–271\nNeslin S (2001) ROI analysis of pharmaceutical promotion (RAPP): an independent study. Retrieved April 30, 2007 from http:\u002F\u002Fwww.rxpromoroi.org\u002Frapp\u002Fmedia\u002Frapp_execsum.pdf\nWittink D (2002) Analysis of ROI for pharmaceutical promotion (ARPP): a second independent study. Retrieved April 30, 2007 from http:\u002F\u002Fwww.rxpromoroi.org\u002Farpp\u002Findex.html\nLim CW, Kirikoshi T (2004) Prediction of promotional effect using neural network modeling. J Pharm Mark Manage 16(2):3–26\nLim CW, Kirikoshi T (2005) Predicting the effects of physician-directed promotion on prescription yield and sales uptake using neural networks. J Target Meas Anal Mark 13(2):156–167\nCorstjens M, Merrihue J (2003) Optimal marketing. Harvard Bus Rev 10:114–121\nDieterle F, Busche S, Gauglitz G (2004) Different approaches to multivariate calibration of nonlinear sensor data. Anal Bioanal Chem 380:383–396\nJefferson MF, Pendleton N, Mohamed S, Kirkman E, Little RA, Lucas SB, Horan MA (1998) Prediction of hemorrhagic blood loss with a genetic algorithm neural network. J Appl Physiol 84:357–361\nGestal M, Gómez-Carracedo MP, Andrade JM, Dorado J, Fernández E, Prada D, Pazos A (2005) Selection of variables by genetic algorithms to classify apple beverages by artificial neural networks. Appl Artif Intell 19:181–198\nVellido A, Lisboa PJG, Vaughan J (1999) Neural networks in business: a survey of applications (1992–1998). Expert Syst Appl 17:51–70\nWong BK, Lai VS, Lam J (2000) A bibliography of neural network business applications research: 1994–1998. Comput Oper Res 27:1045–1076\nJones G (1998) Genetic and evolutionary algorithms. In: Schleyer PvR (eds) Encyclopedia of computational chemistry. Wiley, New York, pp 1127–1136\nMartens H, Naes T (eds) (1989) Multivariate calibration. Wiley, New York\nEsbensen KH (ed) (2001) Multivariate data analysis—in practice, 5th edn. Camo Process AS, Norway\nMartens H, Martens M (eds) (2000) Multivariate analysis of quality—an introduction. Wiley, New York\nGeladi P, Kowalski BR (1986) Partial least-squares regression: a tutorial. Anal Chim Acta 185:1–17\nAkaike H (1973) Information theory and an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds) Proceeding 2nd International Symposium on Information Theory. Akademia Kiado, Budapest, pp 267–281\nMoody J (1992) The effective number of parameters: an analysis of generalization and regularization in nonlinear learning systems. In: Moody J, Hanson SJ, Lippmann RP (eds) Advances in neural information processing systems. Morgan Kaufmann, San Mateo, CA, pp 847–854\nVapnik V (1995) The nature of statistical learning theory. Springer, Berlin\nStone M (1974) Cross-validatory choice and assessment of statistical predictions. J R Stat Soc B 36:111–147\nSchenker B, Agarwal M (1996) Cross-validated structure selection for neural networks. Comput Chem Eng 20(2):175–186\nAlon I, Qi M, Sadowski RJ (2001) Forecasting aggregate retail sales: a comparison of artificial neural networks and traditional methods. J Retail Consum Serv 8:147–156\nLam MD (2004) A $20 billion bill and plenty of change. Pharm Exec 24(9):100–112\nMackintosh A (2004) Innovation in pharmaceutical marketing strategy: how to overcome the 30-second detailing dilemma. Int J Med Mark 4(1):15–17\nMilgrom P, Roberts J (1986) Price and advertising signals of product quality. J Polit Econ 94(4):796–821\nThe value of medical journal advertising. Retrieved April 30, 2007 from http:\u002F\u002Fwww.amponline.org\u002FMedia\u002FMedical_Journal_Ad_Overview.pdf\nWeeks WB, Wallace AE, Kimberly BCS (2001) The changing face of pharmaceutical advertising. Marketing Health Science Fall:27–30\nBurns P (2005) A sample plan. Pharm Exec 25(6):128–132",{"VOID":1389},"10.1007\u002Fs10729-008-9053-z","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10729-008-9053-z",[1392,1407],{"id":1393,"sortIndex":32,"researcher":28,"roles":1394,"affiliations":1395,"properties":1404,"displayName":1406,"givenName":28,"familyName":28},"cc05f4da-5700-468f-8d91-d1751dc198f9",[1003],[1396],{"id":1397,"sortIndex":32,"affiliation":1398,"properties":28},"d5d7208b-5584-4f09-9193-67d36d1bbff8",{"id":1397,"createTime":28,"updateTime":28,"relativeEntities":1399,"slug":28,"properties":1400,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1403,"statistic":28},[],{"title":1401},{"VI":1402},"International Business Department, Daiichi Sankyo Co., Ltd., Chuo-ku, Japan",[],{"title":1405},{"VI":1406},"Chee Wooi Lim",{"id":1408,"sortIndex":40,"researcher":28,"roles":1409,"affiliations":1410,"properties":1417,"displayName":1419,"givenName":28,"familyName":28},"de9ef93f-1df6-456e-955d-75c1ec16a786",[1003],[1411],{"id":1397,"sortIndex":32,"affiliation":1412,"properties":28},{"id":1397,"createTime":28,"updateTime":28,"relativeEntities":1413,"slug":28,"properties":1414,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1416,"statistic":28},[],{"title":1415},{"VI":1402},[],{"title":1418},{"VI":1419},"Toru 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of rapidly available neurological expertise, especially in rural areas, is one of the key obstacles in stroke care. Stroke care networks attempt to address this challenge by connecting hospitals with specialized stroke centers, stroke units, and hospitals of lower levels of care. While the benefits of stroke care networks are well-documented, travel distances are likely to increase when patients are transferred almost exclusively between members of the same network. This is particularly important for patients who require mechanical thrombectomy, an increasingly employed treatment method that requires equipment and expertise available in specialized stroke centers. This study aims to analyze the performance of the current design of stroke care networks in Bavaria, Germany, and to evaluate the improvement potential when the networks are redesigned to minimize travel distances. To this end, we define three fundamental criteria for assessing network design performance: 1) average travel distances, 2) the populace in the catchment area relative to the number of stroke units, and 3) the ratio of stroke units to lower-care hospitals. We generate several alternative stroke network designs using an analytical approach based on mathematical programming and clustering. Finally, we evaluate the performance of the existing networks in Bavaria via simulation. The results show that the current network design could be significantly improved concerning the average travel distances. Moreover, the existing networks are unnecessarily imbalanced when it comes to their number of stroke units per capita and the ratio of stroke units to lower-care hospitals.",{"EN":1484},"Stroke care networks and the impact on quality of care",{"VOID":1486},"Ahmadi-Javid A, Seyedi P, Syam SS (2017) A survey of healthcare facility location. Comput Oper Res 79:223–263\nAringhieri R, Bruni ME, Khodaparasti S, van Essen JT (2017) Emergency medical services and beyond: addressing new challenges through a wide literature review. Comput Oper Res 78:349–368\nAudebert H (2006) Telestroke: effective networking. Lancet Neurol 5:279–282\nAudebert HJ, Lichy C, Szabo K, Schäbitz WR (2008) Telemedizin und Stroke Unit. Notfall + Rettungsmedizin 11:173–177\nAudebert HJ, Schultes K, Tietz V, Heuschmann PU, Bogdahn U, Haberl RL, Schenkel J (2009) Long-term effects of specialized stroke care with telemedicine support in community hospitals on behalf of the Telemedical project for integrative stroke care (TEMPiS). Stroke 40:902–908\nBavarian State Ministry of Health and Care (2020) https:\u002F\u002Fwww.stmgp.bayern.de\u002Fmeine-themen\u002Ffuer-krankenhausbetreiber\u002Ftelemedizin\u002F#Projekte-in-Bayern. Accessed 5 June 2019\nBayne CK, Beauchamp JJ, Begovich CL, Kane VE (1980) Monte Carlo comparisons of selected clustering procedures. Pattern Recogn 12:51–62\nBerlis A, Weber W (2017) Flächendeckende Akutversorgung von Schlaganfallpatienten durch die (Neuro) -Radiologie ist gewährleistet. Fortschr Röntgenstr 189:303–308\nBoujelben MA (2017) A unicriterion analysis based on the PROMETHEE principles for multicriteria ordered clustering. Omega 69:126–140\nChurilov L, Donnan GA (2012) Operations research for stroke care systems: an opportunity for the science of better to do much better. Oper Res Health Care 1:6–15\nCossey TC, Jagolino A, Ankrom C, Bambhroliya AB, Cai C, Vahidy FS, Savitz SI, Wu T-C (2019) No weekend or after-hours effect in acute ischemic stroke patients treated by telemedicine. J Stroke Cerebrovasc Dis 28:198–204\nde Smet Y, Nemery P, Selvaraj R (2012) An exact algorithm for the multicriteria ordered clustering problem. Omega 40:861–869\nEtherton MR, Schwamm LH (2018) Telestroke for the newly minted vascular neurologist. Stroke 49:e162–e164\nFanale CV, Demaerschalk BM (2012) Telestroke network business model strategies. J Stroke Cerebrovasc Dis 21:530–534\nFeil K, Rémi J, Küpper C, Herzberg M, Dorn F, Kunz WG, Reidler P, Levin J, Hüttemann K, Tiedt S, Heidger W, Müller K, Thunstedt DC, Dabitz R, Müller R, Pfefferkorn T, Hamann GF, Liebig T, Dieterich M, Kellert L (2020) Inter-hospital transfer for mechanical thrombectomy within the supraregional stroke network NEVAS. J Neurol:1–9\nFrench B, Day E, Watkins C, McLoughlin A, Fitzgerald J, Leathley M, Davies P, Emsley H, Ford G, Jenkinson D, May C, O’Donnell M, Price C, Sutton C, Lightbody C (2013) The challenges of implementing a telestroke network: a systematic review and case study. BMC Med Inform Decis Mak 13:125\nGesundheit in Deutschland (2015) p. 45. Kapitel 02: Wie steht es um unsere Gesundheit? Einzelkapitel aus \"Gesundheit in Deutschland 2015\"; 2015. https:\u002F\u002Fwww.rki.de\u002FDE\u002FContent\u002FGesundheitsmonitoring\u002FGesundheitsberichterstattung\u002FGBEDownloadsGiD\u002F2015\u002F02_gesundheit_in_deutschland.pdf?__blob=publicationFile. Accessed 3 June 2019\nHess DC, Audebert HJ (2013) The history and future of telestroke. Nat Rev Neurol 2013;9; 340 EP -\nHubert GJ, Meretoja A, Audebert HJ, Tatlisumak T, Zeman F, Boy S, Haberl RL, Kaste M, Müller-Barna P (2016) Stroke thrombolysis in a centralized and a decentralized system (Helsinki and Telemedical project for integrative stroke care network). Stroke 47:2999–3004\nHubert GJ, Santo G, Vanhooren G, Zvan B, Tur Campos S, Alasheev A, Abilleira S, Corea F (2018) Recommendations on telestroke in Europe. Eur Stroke J 4:101–109\nImai T, Sakurai K, Hagiwara Y, Mizukami H, Hasegawa Y (2014) Specific needs for Telestroke networks for thrombolytic therapy in Japan. J Stroke Cerebrovasc Dis 23:811–816\nJauch EC, Saver JL, Adams HP, Bruno A, Connors JJB, Demaerschalk BM, Khatri P, McMullan PW, Qureshi AI, Rosenfield K, Scott PA, Summers DR, Wang DZ, Wintermark M, Yonas H (2013) Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association\u002FAmerican Stroke Association. Stroke 44:870–947\nKeshtkaran M, Churilov L, Hearne J, Abbasi B, Meretoja A (2016) Validation of a decision support model for investigation and improvement in stroke thrombolysis. Eur J Oper Res 253:154–169\nKhan K, Shuaib A, Whittaker T, Saqqur M, Jeerakathil T, Butcher K, Crumley P (2010) Telestroke in northern Alberta: a two year experience with remote hospitals. Can J Neurol Sci 37:808–813\nKraft P, Hillmann S, Rücker V, Heuschmann PU (2017) Telemedical strategies for the improvement of secondary prevention in patients with cerebrovascular events—a systematic review and meta-analysis. Int J Stroke 12:597–605\nLampert T, Müters S, Kuntz B, Dahm S, Nowossadeck E (2019) 30 years after the fall of the Berlin Wall: regional health differences in Germany. J Health Monit 4:2–23\nLanghorne P, Dennis MS (2004) Stroke units: the next 10 years. Lancet 363:834–835\nLanghorne P, Bernhardt J, Kwakkel G (2011) Stroke rehabilitation. Lancet 377:1693–1702\nLevine Steven R, Gorman Mark. “Telestroke” the application of telemedicine for stroke. Stroke 1999;30; 464–469\nMeyer BC, Demaerschalk BM (2012) Telestroke Network Fundamentals. J Stroke Cerebrovasc Dis 21:521–529\nMüller-Barna P, Hubert GJ, Boy S, Bogdahn U, Wiedmann S, Heuschmann PU, Audebert HJ (2014) TeleStroke units serving as a model of care in rural areas: 10-year experience of the TeleMedical project for integrative stroke care. Stroke 45:2739–2744\nNelson RE, Saltzman GM, Skalabrin EJ, Demaerschalk BM, Majersik JJ (2011) The cost-effectiveness of telestroke in the treatment of acute ischemic stroke. Neurology 77:1590\nNimptsch U, Mansky T (2012) Trends in acute inpatient stroke care in Germany--an observational study using administrative hospital data from 2005-2010. Deutsches Arzteblatt international 109:885–892\nPallesen LP, Winzer S, Barlinn K, Prakapenia A, Siepmann T, Gruener C, Gerber J, Haedrich K, Linn J, Barlinn J, Puetz V (2020) Safety of inter-hospital transfer of patients with acute ischemic stroke for evaluation of endovascular thrombectomy. Sci Rep 10(1):5655\nPeng J, Wei Y (2007) Approximating K-means-type clustering via semidefinite programming. SIAM J Optim 18:186–205\nPidd M (2010) Why modelling and model use matter. J Oper Res Soc 61:14–24\nSarrazin R, de Smet Y, Rosenfeld J (2018) An extension of PROMETHEE to interval clustering. Omega 80:12–21\nSaver JL (2006) Time is brain--quantified. Stroke 37(1):263–266\nDeutsche Schlaganfall-Gesellschaft. 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Can J Cardiol 34:889–896",{"VOID":1488},"10.1007\u002Fs10729-021-09582-0","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10729-021-09582-0",[1491,1506,1519,1532],{"id":1492,"sortIndex":32,"researcher":28,"roles":1493,"affiliations":1494,"properties":1503,"displayName":1505,"givenName":28,"familyName":28},"23c29bb1-f357-4d4a-a83d-b1d8e614c51e",[1003],[1495],{"id":1496,"sortIndex":32,"affiliation":1497,"properties":28},"01fa9301-5722-4fcd-9583-8233f69828e1",{"id":1496,"createTime":28,"updateTime":28,"relativeEntities":1498,"slug":28,"properties":1499,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1502,"statistic":28},[],{"title":1500},{"VI":1501},"Department of Health Care Operations\u002FHealth Information Management, Faculty of Business and Economics, University of Augsburg, Augsburg, Germany",[],{"title":1504},{"VI":1505},"Jan Schoenfelder",{"id":1507,"sortIndex":40,"researcher":28,"roles":1508,"affiliations":1509,"properties":1516,"displayName":1518,"givenName":28,"familyName":28},"a6faf6e9-f44f-41f9-af92-2d09ac174cf2",[1003],[1510],{"id":1496,"sortIndex":32,"affiliation":1511,"properties":28},{"id":1496,"createTime":28,"updateTime":28,"relativeEntities":1512,"slug":28,"properties":1513,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1515,"statistic":28},[],{"title":1514},{"VI":1501},[],{"title":1517},{"VI":1518},"Mansour 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Griesbaum",{"id":1533,"sortIndex":42,"researcher":28,"roles":1534,"affiliations":1535,"properties":1544,"displayName":1546,"givenName":28,"familyName":28},"8d4799df-9fc5-4034-be8b-8ed0471530c5",[1003],[1536],{"id":1537,"sortIndex":32,"affiliation":1538,"properties":28},"4e28c6c7-b984-4441-8292-b3175f5f517b",{"id":1537,"createTime":28,"updateTime":28,"relativeEntities":1539,"slug":28,"properties":1540,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1543,"statistic":28},[],{"title":1541},{"VI":1542},"Department of Diagnostic and Interventional Neuroradiology, University Hospital Augsburg, Augsburg, Germany",[],{"title":1545},{"VI":1546},"Ansgar 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is growing concern that current health care services are not sustainable. The compartmental flow model provides the opportunity for improved decision-making about bed occupancy decisions, particularly those of a strategic nature. This modelling can be applied to complement infrastructure and workforce-planning methods. Discussion about appropriateness of the level of model complexity, the degree of fit and the ability to use compartmental flow models for generalization and forecasting has been lacking. The authors investigated model selection and assessment in relation to hospital bed compartment flow models. A compartment model for a range of scenarios was created. The training and test data related to the 1998 and 1999 calendar years, respectively. The majority of scenarios tested were based upon commonly used periods that describe periods of time. The goodness-of-fit achieved by optimisation was measured against the training and test data. Model fit improved with increasing complexity as expected. The analysis of model fit against the test data showed that increasing model complexity did result in over-fitting, and better prediction was achieved with a relatively simple model. In terms of generalisation, the seasonal models performed best. Single day census type models, which have been used by Millard and his colleagues, were also generated. The performance of these models was similar, but inferior to that of the models generated from a full year of training data. The additional data make the models better able to capture the variation across the year in activity.",{"EN":1613},"Choice of Models for the Analysis and Forecasting of Hospital Beds",{"VOID":1615},"1. World Health Organisation, Active Ageing: A Policy Framework (World Health Organisation, Geneva, Switzerland, 2002).\n2. OECD, A Disease-Based Comparison of Health Systems—What is Best and at What Cost? (OECD Publications, France, 2003).\n3. 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Kohler, Statistics for Business and Economics (Scott Foresman and Company, USA, 1985).\n42. J. Xiao, A.H. Lee and S.R. Vemuri, Mixture distribution analysis of length of hospital stay for efficient funding, Socio-Economic Planning Sciences 33 (1999) 39–59.\n43. S. Karlin S (1983) cited by I.J. Myung, website http:\u002F\u002Fquantrm2.psy.ohio-state.edu\u002Finjae\u002Frespub.html accessed Jan 2004.\n44. U.S. Department of Health and Human Services, Active Aging: A Shift in the Paradigm (U.S. Department of Health and Human Services, United States of America, 1997).\n45. Commission of the European Communities, Towards a Europe for All Ages—Promoting Prosperity and Intergenerational Solidarity (Commission of the European Communities, Brussels, 1999).\n46. World Health Organisation, Active Ageing: A Policy Framework (World Health Organisation, Spain, 2002).",{"VOID":1617},"10.1007\u002Fs10729-005-2013-y","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10729-005-2013-y",[1620,1635],{"id":1621,"sortIndex":32,"researcher":28,"roles":1622,"affiliations":1623,"properties":1632,"displayName":1634,"givenName":28,"familyName":28},"6b69a29a-77af-49bd-b087-9b02962b0e4a",[1003],[1624],{"id":1625,"sortIndex":32,"affiliation":1626,"properties":28},"f241c512-2111-4550-a404-4b7bdb6585c6",{"id":1625,"createTime":28,"updateTime":28,"relativeEntities":1627,"slug":28,"properties":1628,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1631,"statistic":28},[],{"title":1629},{"VI":1630},"Department of Psychology, University of Adelaide and Principal Project Officer, Department of Health, South Australia",[],{"title":1633},{"VI":1634},"Mark Mackay",{"id":1636,"sortIndex":40,"researcher":28,"roles":1637,"affiliations":1638,"properties":1647,"displayName":1649,"givenName":28,"familyName":28},"04fbba68-0376-4b9e-9a06-c680378a11c1",[1003],[1639],{"id":1640,"sortIndex":32,"affiliation":1641,"properties":28},"e39062f4-7b45-4576-84ff-ea92ad5aee36",{"id":1640,"createTime":28,"updateTime":28,"relativeEntities":1642,"slug":28,"properties":1643,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1646,"statistic":28},[],{"title":1644},{"VI":1645},"Department of Psychology, University of Adelaide, South Australia",[],{"title":1648},{"VI":1649},"Michael 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this paper we propose an empirically implementable measure of aggregate-level efficiency along the lines of Debreu’s (1951) coefficient of resource utilization but restricted to the production side. The efficiency measure is based on directional distance functions, which allows the overall measure of efficiency to be decomposed into measures of technical and “structural” efficiency. The latter measure, which captures inefficiencies associated with the organization of production within an industry, is further decomposed into measures of scale and mix efficiency. The measures developed in the paper are illustrated using U.S. hospital data. The illustration sheds light on the efficacy of certificate of need (CON) regulations.",{"EN":1714},"The impact of CON regulation on hospital efficiency",{"VOID":1716},"Brown LD, Sparer MS (2001) Window shopping: state health reform politics in 1990. Health Aff 20(1):50–67. doi:10.1377\u002Fhlthaff.20.1.50\nHacker JS, Skocpol T (1997) The new politics of U.S. health policy. J Health Polit Policy Law 22(2):315–337\nOliver TR, Paul-Shaheen P (1997) Translating ideas into actions: entrepreneurial leadership in state health care reforms. J Health Polit Policy Law 22(3):721–786\nSaltman RB (2002) Regulating incentives: the past and present role of the state in health care systems. Soc Sci Med 54(11):1677–1684. doi:10.1016\u002FS0277-9536(01)00335-5\nGovernor’s Health Care Proposal (2007) www.commonwealthfund.org\u002FContent\u002FInnovations\u002FState-Profiles\u002F2007\u002FMar\u002FCalifornia-Governors-Health-Care-Proposal.aspx\nThe National Health Planning and Resources Development Act, 88 Stat. 2229, 42 U.S.C. §3001, 1976\nDebreu G (1951) The coefficient of resource utilization. Econometrica 19(3):273–292. doi:10.2307\u002F1906814\nFarrell MJ (1957) The measurement of productive efficiency. J R Stat Soc [Ser A] 120(3):253–290. doi:10.2307\u002F2343100\nCharnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(4):429–444. doi:10.1016\u002F0377-2217(78)90138-8\nFäre R, Grosskopf S, Lovell CAK (1985) The measurement of production efficiency. Kluwer-Nijhoff, Boston\nFäre R, Grosskopf S (2004) New directions: efficiency and productivity. Kluwer Academic, Boston\nFørsund FR, Hjalmarsson L (1979) Generalized farrell measures of efficiency: an application to milk processing in Swedish dairy plants. Econ J 89(354):294–315. doi:10.2307\u002F2231603\nBjurek H, Hjalmarsson L, Försund F (1990) Deterministic parametric and nonparametric estimation of efficiency in service production: a comparison. J Econom 46(1\u002F2):213–227. doi:10.1016\u002F0304-4076(90)90056-Y\nTorgensen A, Førsund F, Kittelsen S (1996) Slack-adjusted efficiency measures and ranking of efficient units. J Prod Anal 7(4):379–397. doi:10.1007\u002FBF00162048\nYlvinger S (2000) Industry performance and structural efficiency measures: solutions to problems in firm models. Eur J Oper Res 121(1):164–174. doi:10.1016\u002FS0377-2217(99)00014-4\nKoopmans TC (1957) Three essays on the state of economic analysis. McGraw-Hill, New York\nFäre R, Grosskopf S, Knox Lovell CA (1994) Production frontiers. Cambridge University Press, New York\nLi S-K, Ng YC (1995) Measuring the productive efficiency of a group of firms. Int Adv Econ Res 1(4):377–390. doi:10.1007\u002FBF02295790\nChambers RG, Chung Y, Färe R (1998) Profit, directional distance functions and Nerlovian efficiency. J Optim Theory Appl 98(2):351–364. doi:10.1023\u002FA:1022637501082\nBriec W (1997) A graph-type extension of Farrell technical efficiency measure. J Prod Anal 8(1):95–110. doi:10.1023\u002FA:1007728515733\nFørsund FR, Lovell CAK, Schmidt P (1980) A survey of frontier production functions and their relationship to efficiency measurement. J Econom 13(1):5–25. doi:10.1016\u002F0304-4076(80)90040-8\nOwens P, Elixhauser A (2006) “Hospital Admissions That Began in the Emergency Department, 2003” Healthcare Cost and Utilization Project, Statistical Brief #1, February 2006. Agency for Healthcare Research and Quality, Rockville, MD. (http:\u002F\u002Fhcup-us.ahrq.gov\u002Freports\u002Fstatbriefs\u002Fsb1.pdf)\nSloan FA (1981) Regulation and the rising cost of hospital care. Rev Econ Stat 63(4):479–487. doi:10.2307\u002F1935842\nMayo JW, McFarland DA (1989) Regulation, market structure, and hospital costs. South Econ J 55(3):559–569. doi:10.2307\u002F1059572\nConover CJ, Sloan FA (1998) Does removing certificate-of-need regulations lead to a surge in health care spending? J Health Polit Policy Law 23(3):455–481\nICF-Lewin (2000) Report to Congress—Medicare Payment for Post-Surgical Recovery Care Centers, November\nGraham GG, Cowing TG (1997) Hospital reserve margins: structural determinants and policy implications using cross-section data. South Econ J 63(3):692–709. doi:10.2307\u002F1061103\nBates LJ, Mukherjee K, Santerre RE (2006) Market structure and technical efficiency in the hospital services sector: a DEA approach. Med Care Res Rev 63(4):499–524. doi:10.1177\u002F1077558706288842\nForeman SE, Keeler TE (1995) Regulation, competition, and cross-subsidization of hospitals: lessons from the economics of regulation. University of California, Berkeley Working Papers, pp 95–236\nBanks DA, Foreman SE, Keeler TE (1999) Cross-Subsidization in hospital care: some lessons from the law and economics of regulation. Health Matrix J Law-Medicine 9(1):1–35\nDevers KJ, Brewster LR, Casalino LP (2003) Changes in hospital competition strategy: a new medical arms race? Health Serv Res 38(1, Part 2):447–469. doi:10.1111\u002F1475-6773.00124\nBerenson R, Bodenheimer T, Pham H (2006) Specialty-service lines: salvos in the new medical arms race. Health Aff 25(5):W337–W343. doi:10.1377\u002Fhlthaff.25.w337\nKimberly JR (1976) Organizational size and the structuralist perspective: a review, critique, and proposal. Adm Sci Q 21(4):571–597. doi:10.2307\u002F2391717\nO'Neill L, Rauner M, Heidenberger K, Kraus M (2008) A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socioecon Plann Sci 42(3):158–189. doi:10.1016\u002Fj.seps.2007.03.001\nJoskow PL (1980) The effects of competition and regulation on hospital bed supply and the reservation quality of the hospital. Bell J Econ 11(2):421–447. doi:10.2307\u002F3003372",{"VOID":1718},"10.1007\u002Fs10729-009-9113-z","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10729-009-9113-z",[1721,1736,1751],{"id":1722,"sortIndex":32,"researcher":28,"roles":1723,"affiliations":1724,"properties":1733,"displayName":1735,"givenName":28,"familyName":28},"2a67ba46-4728-4842-8553-16b95b136cf8",[1003],[1725],{"id":1726,"sortIndex":32,"affiliation":1727,"properties":28},"b4f8be71-790c-440f-a7a2-5d98b26e0ba8",{"id":1726,"createTime":28,"updateTime":28,"relativeEntities":1728,"slug":28,"properties":1729,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1732,"statistic":28},[],{"title":1730},{"VI":1731},"Department of Economics, University of Arkansas, Fayetteville, USA",[],{"title":1734},{"VI":1735},"Gary D. Ferrier",{"id":1737,"sortIndex":40,"researcher":28,"roles":1738,"affiliations":1739,"properties":1748,"displayName":1750,"givenName":28,"familyName":28},"da0a3465-862d-4cf9-a46e-0fa4d725cfc7",[1003],[1740],{"id":1741,"sortIndex":32,"affiliation":1742,"properties":28},"a661928e-463f-424b-a83e-7ec79a0752b3",{"id":1741,"createTime":28,"updateTime":28,"relativeEntities":1743,"slug":28,"properties":1744,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1747,"statistic":28},[],{"title":1745},{"VI":1746},"CNRS-LEM and IÉSEG School of Management, Catholic University of Lille, Lille, France",[],{"title":1749},{"VI":1750},"Hervé Leleu",{"id":1752,"sortIndex":123,"researcher":28,"roles":1753,"affiliations":1754,"properties":1763,"displayName":1765,"givenName":28,"familyName":28},"7c07e040-e52a-498f-ad3a-af443faad7cd",[1003],[1755],{"id":1756,"sortIndex":32,"affiliation":1757,"properties":28},"3d0afe62-20cc-42f5-ae0b-5e2f804bdcc8",{"id":1756,"createTime":28,"updateTime":28,"relativeEntities":1758,"slug":28,"properties":1759,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1762,"statistic":28},[],{"title":1760},{"VI":1761},"Department of Health Policy and Public Health, University of the Sciences in Philadelphia, Philadelphia, USA",[],{"title":1764},{"VI":1765},"Vivian G. Valdmanis",{"url":1719,"publisher":1767,"properties":1814},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1768,"slug":872,"properties":1769,"entityType":25,"verifyStatus":884,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":123,"subjectFields":1774,"manageAffiliations":1783,"indexDatabases":1794,"url":943,"thumbnailPath":28,"statistic":1809,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":1770,"eissn":1771,"issn":1772,"title":1773},{"VOID":875},{"VOID":877},{"VOID":879},{"EN":881},[1775,1779],{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1776,"label":1777,"description":1778,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},{"id":893,"createTime":28,"updateTime":28,"relativeEntities":1780,"label":1781,"description":1782,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":896},{},[1784,1789],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1785,"slug":28,"properties":1786,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1788,"statistic":28},[],{"title":1787},{"EN":904},[],{"id":907,"createTime":28,"updateTime":28,"relativeEntities":1790,"slug":28,"properties":1791,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1793,"statistic":28},[],{"title":1792},{"EN":911},[],[1795,1802],{"id":915,"indexDatabase":1796,"url":927,"indexYears":28,"academicFieldIds":1801,"indexDatabaseRanking":28},{"id":917,"createTime":28,"updateTime":28,"relativeEntities":1797,"label":1798,"description":1799,"key":924,"publicationTags":1800,"standard":28},[],{"EN":920,"VI":920},{"EN":922,"VI":923},[926,813],[929],{"id":931,"indexDatabase":1803,"url":937,"indexYears":938,"academicFieldIds":1808,"indexDatabaseRanking":942},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1804,"label":1805,"description":1806,"key":781,"publicationTags":1807,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[940,941],{"impactFactor":32,"impactFactorByYear":1810,"i10Index":208,"i10IndexLast5Year":145,"totalPublication":948,"totalPublicationByYear":1811,"totalCitation":950,"totalCitationByYear":1812,"totalCitationPerPublication":960,"totalCitationPerPublicationByYear":1813,"hindexLast5Year":132,"hindex":132},{"2012":224,"2013":108,"2014":524,"2015":110,"2016":369,"2017":170,"2018":224,"2019":946,"2020":709,"2021":947,"2022":698,"2023":120},{"1998":51,"1999":128,"2000":128,"2001":135,"2002":131,"2003":128,"2004":122,"2005":134,"2006":130,"2007":130,"2008":69,"2009":133,"2010":199,"2011":148,"2012":129,"2013":131,"2014":147,"2015":133,"2016":133,"2017":129,"2018":135,"2019":147,"2020":127,"2021":278,"2022":133,"2023":132,"2024":48},{"2004":952,"2005":135,"2006":953,"2007":954,"2008":218,"2009":955,"2010":956,"2011":126,"2012":160,"2013":196,"2014":957,"2015":459,"2016":139,"2017":958,"2018":564,"2019":959,"2020":566,"2021":159,"2022":202,"2023":49,"2024":40},{"2004":962,"2005":963,"2006":964,"2007":965,"2008":966,"2009":967,"2010":968,"2011":222,"2012":969,"2013":970,"2014":971,"2015":47,"2016":972,"2017":49,"2018":973,"2019":974,"2020":378,"2021":975,"2022":976,"2023":168,"2024":734},{"pages":1815,"volume":1817},{"VOID":1816},"84-100",{"VOID":1818},"13","2009-05-27",2009,[926,942],{"id":1823,"createTime":1824,"updateTime":1825,"relativeEntities":1826,"slug":1827,"properties":1828,"entityType":996,"verifyStatus":26,"verifyTime":1825,"verifyNote":997,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1837,"fullTextUrl":28,"authors":1838,"publicationType":1042,"publisherRelationship":1912,"citationCount":28,"citationInfo":28,"publishDate":1965,"publishYear":1966,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":1967,"openAccess":28,"references":28,"isForceReanalyzing":1099},"038d31e8-bbc5-49b0-8cf1-58c0ab5f1a06","2024-01-10T17:04:54.452+00:00","2024-12-21T20:40:15.051+00:00",[],"Simulation-optimization-of-PSA-threshold-based-prostate-cancer-screening-policies",{"abstract":1829,"title":1831,"references":1833,"doi":1835},{"EN":1830},"We describe a simulation optimization method to design PSA screening policies based on expected quality adjusted life years (QALYs). Our method integrates a simulation model in a genetic algorithm which uses a probabilistic method for selection of the best policy. We present computational results about the efficiency of our algorithm. The best policy generated by our algorithm is compared to previously recommended screening policies. Using the policies determined by our model, we present evidence that patients should be screened more aggressively but for a shorter length of time than previously published guidelines recommend.",{"EN":1832},"Simulation optimization of PSA-threshold based prostate cancer screening policies",{"VOID":1834},"American Cancer Society (2010) NCCN guidelines for patients: prostate cancer. http:\u002F\u002Fwww.cancer.org\u002FCancer\u002FProstateCancer\u002FMoreInformation\u002FProstateCancerEarlyDetection\u002Fprostate-cancer-early-detection-acs-recommendations\nAmerican Urological Association (2000) American Urological Association Prostate-specific antigen (PSA) best practice policy. Oncology 14:277–280\nAndriole GL (2009) Mortality results from a randomized prostate-cancer screening trial. N Engl J Med 360(13):1310–1319\nArias E (2006) United states life tables. Natl Vital Stat Rep 58(21):1–40\nAshley RA, Inman BA, Routh JC, Mynderse LA, Gettman MT, Blute ML (2008) Reassessing the diagnostic yield of saturation biopsy of the prostate. Eur Urol 53(5):976–981\nAus G, Robinson D, Rosell J, Sandblom G, Varenhorst E (2006) Survival in prostate carcinoma-outcomes from a prospective, population-based cohort of 8887 men with up to 15 years of follow-up: results from three countries in the population-based national prostate cancer registry in Sweden. Cancer 103(5):943–951\nBaluja S, Caruana R (1995) Removing the genetics from the standard genetic algorithm. In: Kuhl ME, Steiger NM, Armstrong FB, Joines JA (eds) Proceedings of the twelfth international conference on machine learning\nBastian PJ, Mangold LA, Epstein JI, Partin AW (2004) Characteristics of insignificant clinical T1c prostate tumors. A contemporary analysis. Cancer 101(9):2001–2005\nBremner KE (2007) Chong CAKY, Tomlinson G, Alibhai SMH, Krahn MD A review and meta-analysis of prostate cancer utilities. Med Decis Mak 27:288–298\nBubendorf L, Schöpfer A, Wagner U, Sauter G, Moch H, Willi N, Gasser TC, Mihatsch MJ (2000) Metastatic patterns of prostate cancer: an autopsy study of 1589 patients. Human Pathol 31(5):578–583\nBuchholz P, Thümmler A (2005) Enhancing evolutionary algorithms with statistical selection procedures for simulation optimization. In: Kuhl ME, Steiger NM, Armstrong FB, Joines JA (eds) Proceedings of the 2005 winter simulation conference, pp 842–852\nChen C-H (1996) A lower bound for the correct subset-selection probability and its application to discrete-event system simulations. IEEE Trans Automat Contr 41(8):1227–1231\nChen EJ, Lee LH (2009) A multi-objective selection procedure of determining a pareto set. Comput Oper Res 36:1872–1879\nChhatwal J, Alagoz O, Burnside ES (2010) Optimal breast biopsy decision-making based on mammographic features and demographic factors. Oper Res 58(6):1577–1591\nChon CH, Lai FC, McNeal JE, Presti JC (2002) Use of extended systematic sampling in patients with a prior negative prostate needle biopsy. J Urol 167(6):2457–2460\nDeb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Schoenauer M, Deb K, Rudolph G, Yao X, Lutton E, Merelo J, Schwefel H-P (eds) Parallel problem solving from nature PPSN VI. Lecture notes in computer science, vol 1917. Springer, Berlin, pp 849–858\nDjavan B, Margreiter M (2007) Biopsy standards for detection of prostate cancer. World J Urol 25:11–17\nVieweg J, Djulbegovic B, Dahm P (2010) Screening for prostate cancer: systematic review and meta-analysis of randomised controlled trials. BMJ 341:9. doi:10.1136\u002Fbmj.c4543\nDraisma G, Boer R, Otto SJ, van der Cruijsen IW, Damhuis RAM, Schröder FH, de Koning HJ (2003) Lead times and overdetection due to prostate-specific antigen screening: estimates from the european randomized study of screening for prostate cancer. J Natl Cancer Inst 95(12):868–878\nDudewicz EJ, Dalal SR (1975) Allocation of observations in ranking and selection with unequal variances. Indian J Stat 37(1):28–78\nEpstein JI, Sanderson H, Carter HB, Scharfstein DO (2005) Utility of saturation biopsy to predict insignificant cancer at radical prostatectomy. Urology 66(2):356–360\nEskandari H, Rabelo L, Mollaghasemi M (2005) Multiobjective simulation optimization using an enhanced genetic algorithm. In: Proceedings of the 37th conference on winter simulation. Winter simulation conference, pp 833–841\nEtzioni RB, Cha R, Cowen ME (1999) Serial prostate specific antigen screening for prostate cancer: a computer model evaluates competing strategies. J Urol 162:741–748\nEtzioni RB, Gulati R, Falcon S, Penson DF (2008) Impact of PSA screening on the incidence of advanced stage prostate cancer in the united states: a surveillance modeling approach. Med Decis Mak 28(3):323–331\nFerrini R, Woolf SH (1998) American college of preventive medicine practice policy: screening for prostate cancer in American men. Am J Prev Med 15(1):81–84\nFu MC (2002) Optimization for simulation: theory vs. practice. INFORMS J Comput 14(3):192–215\nGhani KR, Grigor K, Tulloch DN, Bollina PR, McNeill SA (2005) Trends in reporting Gleason score 1991 to 2001: changes in the pathologist’s practice. Eur Urol 47(2):196–201\nGold MR, Stevenson D, Fryback DG (2002) HALYs and QALYs and DALYs, oh my: similarities and differences in summary measures of population health. Annu Rev Public Health 23:115–134\nGoldsman D, Nelson BJ (1994) Ranking, selection and multiple comparisons in computer simulation. In: Proceedings of the 1994 winter simulation conference. Winter simulation conference\nGustafsson L, Adami HO (2008) Optimization of cervical cancer screening. Cancer Causes Control 3(2):125–136\nHaas GP, Delongchamps NB, Jones RF, Chandan V, Serio AM, Vickers AJ, Jumbelic M, Threatte G, Korets R, Lilja H, de la Roza G (2007) Needle biopsies on autopsy prostates: sensitivity of cancer detection based on true prevalence. J Natl Cancer Inst 99(19):1484–1489\nInoue K, Chick SE, Chen C-H (1999) An empirical evaluation of several methods to select the best system. ACM Trans Model Comput Simul 9(4):381–407\nJemal A, Siegel R, Ward E (2009) Cancer statistics, 2009. CA Cancer J Clin 59(4):225–249\nKlein T, Palisaar RJ, Holz A, Brock M, Noldus J, Hinkel A (2010) The impact of prostate biopsy and periprostatic nerve block on erectile and voiding function: a prospective study. J Urol 184(4):1447–1452. doi:10.1016\u002Fj.juro.2010.06.021\nKoenig LW, Law AM (1985) A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation. Commun Stat Theory Methods 14(3):719–734\nKrahn M, Ritvo P, Irvine J, Tomlinson G, Bremner KE, Bezjak A, Trachtenberg J, Naglie G (2003) Patient and community preferences for outcomes in prostate cancer: implications for clinical policy. Med Care 41(1):153–164\nMaillart LM, Ivy JS, Ransom S, Diehl K (2008) Assessing dynamic breast cancer screening policies. Oper Res 56(6):1411–1427\nMaster VA, Chi T, Simko JP, Weinberg V, Carroll PR (2005) The independent impact of extended pattern biopsy on prostate cancer stage migration. J Urol 174(5):1789–1793\nMessing EM, Manola JY, Kiernan M, Crawford GW (2006) di’Sant Agnese PA, Trump D Immediate versus deferred androgen deprivation treatment in patients with node-positive prostate cancer after radical prostatectomy and pelvic lymphadenectomy. Lancet Oncol 7(5):472–479\nNational Cancer Institute (2008) Surveillance epidemiology and end results. http:\u002F\u002Fseer.cancer.gov\u002F\nNational Cancer Institute (2011) Cancer intervention and surveillance modeling network. http:\u002F\u002Fcisnet.cancer.gov\u002Fprostate\u002F\nNational Comprehensive Cancer Network (2011) American Cancer Society recommendations for prostate cancer early detection. http:\u002F\u002Fwww.nccn.com\u002Fimages\u002Fpatient-guidelines\u002Fpdf\u002Fprostate.pdf\nPresti JC (2003) Prostate biopsy: how many cores are enough. Urol Oncol 21:135–140\nRabets JC, Jones JS, Patel A, Zippe CD (2004) Prostate cancer detection with office based saturation biopsy in a repeat biopsy population. J Urol 172(1):94–97\nRansohoff DF, Collins MM, Fowler FJ J (2002) Why is prostate cancer screening so common when the evidence is so uncertain? A system without negative feedback. Am J Med 113(8):663–667\nRinott Y (1978) On two-stage selection procedures and related probability-inequalities. Commun Stat Theory Methods A7(8):799–811\nRoss KS, Carter HB, Pearson JD, Guess HA (2000) Comparative efficiency of prostate-specific antigen screening strategies for prostate cancer detection. J Am Med Assoc 284(11):1399–1405\nSanda MG, Kaplan ID (2009) A 64-year-old man with low-risk prostate cancer: review of prostate cancer treatment. J Am Med Assoc 301(20):2141–2151\nSandblom G, Carlsson P, Sennflt K, Varenhorst E (2004) A population-based study of pain and quality of life during the year before death in men with prostate cancer. Br J Cancer 90(6):1163–1168\nScardino PT, Beck JR, Miles BJ (1994) Conservative management of prostate cancer (author reply 1831–1831; author reply 1832). N Engl J Med 1832:1831–1831\nSchröder FH, WildHagen MF (2001) Screening for prostate cancer: evidence and perspectives. Br J Urol Int 88:811–817\nSchröder FH (2009) et al Screening and prostate-cancer mortality in a randomized European study. N Engl J Med 360(13):1320–1328\nSmith RA, Cokkinides V, Brooks D, Saslow D, Brawley OW (2010) Cancer screening in the united states, 2010: a review of current American Cancer Society guidelines and issues in cancer screening. CA Cancer J Clin 60(2):99–119. doi:10.3322\u002Fcaac.20063\nSwisher JR, Jacobson SH, Insead EY (2003) Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures: a survey. ACM Trans Model Comput Simul 13(2):134–154\nThompson IM, Ankerst DP, Chi C, Goodman PJ, Tangen CM, Lucia MS, Feng Z, Parnes HL (2006) Coltman CA Assessing prostate cancer risk: results from the prostate cancer prevention trial. J Natl Cancer Inst 98(8):529–534\nUnderwood DJ (2010) Simulation optimization of prostate cancer screening using a parallel genetic algorithm. http:\u002F\u002Fwww.lib.ncsu.edu\u002Fresolver\u002F1840.16\u002F6412\nU.S. Preventive Services Task Force (2008) Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 149(3):185–191\nU.S. Preventive Services Task Force (2011) Screening for prostate cancer: draft recommendation statement. AHRQ Publication No. 12-05160-EF-2. http:\u002F\u002Fwww.uspreventiveservicestaskforce.org\u002Fuspstf12\u002Fprostate\u002Fdraftrec3.htm\nVasconcelos JA, Ramírez JA, Takahashi RHC, Saldanha RR (2001) Improvements in genetic algorithms. IEEE Trans Magn 37(5):3414–3417\nWelch HG, Albertsen PC (2009) Prostate cancer diagnosis and treatment after the introduction of prostate-specific antigen screening: 1986–2005. J Natl Cancer Inst 101(19):1325–1329\nWolf AMD, Wender RC, Etzioni RB, Thompson IM, D’Amico AV, Volk RJ, Brooks DD, Dash C, Guessous I, Andrews K, DeSantis C, Smith RA (2010) American Cancer Society guideline for the early detection of prostate cancer: update 2010. CA Cancer J Clin 60(2):70–98\nWright JC, Weinstein MC (1998) Gains in life expectancy from medical interventions: standardizing data on outcomes. N Engl J Med 339(6):380–386\nZhang J, Denton BT, Balasubramanian H, Shah ND, Inman BA (2011) Optimization of PSA screening policies: a comparison of the patient and societal perspectives. Med Decis Mak. doi:10.1177\u002F0272989X11416513 Prepublished on 20 September 2011\nZhang J, Denton BT, Balasubramanian H, Shah ND, Inman BA (2011) Optimization of prostate biopsy referral decisions. Technical report. Working paper",{"VOID":1836},"10.1007\u002Fs10729-012-9195-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10729-012-9195-x",[1839,1854,1869,1882,1897],{"id":1840,"sortIndex":32,"researcher":28,"roles":1841,"affiliations":1842,"properties":1851,"displayName":1853,"givenName":28,"familyName":28},"4b121e87-6acb-449f-a0e8-4df90d65be39",[1003],[1843],{"id":1844,"sortIndex":32,"affiliation":1845,"properties":28},"8ea00209-8d14-4c80-8671-71f00c36285c",{"id":1844,"createTime":28,"updateTime":28,"relativeEntities":1846,"slug":28,"properties":1847,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1850,"statistic":28},[],{"title":1848},{"VI":1849},"Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, Raleigh, USA",[],{"title":1852},{"VI":1853},"Daniel J. 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Shah",{"id":1898,"sortIndex":45,"researcher":28,"roles":1899,"affiliations":1900,"properties":1909,"displayName":1911,"givenName":28,"familyName":28},"c1348ebe-f121-488c-a501-4eb386e9cb77",[1003],[1901],{"id":1902,"sortIndex":32,"affiliation":1903,"properties":28},"1b06170a-1c99-4058-81b3-e8dab40dbe82",{"id":1902,"createTime":28,"updateTime":28,"relativeEntities":1904,"slug":28,"properties":1905,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1908,"statistic":28},[],{"title":1906},{"VI":1907},"Division of Urology, Duke University Medical Center, Durham, USA",[],{"title":1910},{"VI":1911},"Brant A. 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To this end, we are implementing a family of prototype web services to ‘push’ or ‘pull’ individual’s health-related data via an system of clinical hubs, mobile communication devices and\u002For dedicated home-based network computers. We are examining more efficient methods for ethical use of such data in timeline-based (i.e. ‘longitudinal’) data analysis systems. A consistent data collation infrastructure is being created for use along the ‘patient path’—accessible wherever patients happen to be. This ‘patient-centred’ infrastructure can be applied in the evaluation of disease progression risk (in the light of clinical understanding of disease processes). In this paper we describe the requirements for making multi-data trend management ‘scale-up’, together with some requirements of an ‘end-to-end’ functioning data collection system. A Service-Oriented Architecture (SOA) approach is used to maximise benefits from (1) clinical evidence and (2) computational models of disease progression that can be made available elsewhere on the SOA. We discuss the implications of this so-called ‘closed loop’ approach for improving healthcare intervention outcomes, patient safety, decision support, objective measurement of service quality and in providing inputs for quantitative healthcare (predictive) modelling.",{"EN":1978},"Simultaneous trend analysis for evaluating outcomes in patient-centred health monitoring services",{"VOID":1980},"Albert PS (1999) Longitudinal data analysis (repeated measures) in clinical trials. Stat Med 18:1707–1732\nBaird J, Turisco F (2005) Service-oriented architecture: a critical technology component to support consumer-driven health care. AHIP Cover 46:74 76, 78 passim\nBenson T (2007) Prevention of errors and user alienation in healthcare IT integration programmes. Inform Prim Care 15:1–7\nBescos C, Schmitt D, Kass J, Garcia-Barbero M, Kantchev P (2005) Interoperability and HealthGRID. Methods Inf Med 44:190–192\nBreton V, Blanquer I, Hernandez V, Jacq N, Legre Y, Olive M, Solomonides T (2007) Roadmap for a European healthgrid. Stud Health Technol Inform 126:154–163\nBucur A, Kootstra R, van Leeuwen J, Obbink H (2006) Service-oriented architecture for grid-enabling medical applications. Stud Health Technol Inform 120:55–68\nDogac A, Laleci GB, Aden T, Eichelberg M (2007) Enhancing IHE XDS for federated clinical affinity domain support. IEEE Trans Inf Technol Biomed 11:213–221\nDolin RH, Alschuler L, Boyer S, Beebe C, Behlen FM, Biron PV, Shabo Shvo A (2006) HL7 clinical document architecture, release 2. J Am Med Inform Assoc 13:30–39\nDonnelly K (2006) SNOMED-CT: the advanced terminology and coding system for eHealth. Stud Health Technol Inform 121:279–290\nEstrella F, Hauer T, McClatchey R, Odeh M, Rogulin D, Solomonides T (2007) Experiences of engineering grid-based medical software. Int J Med Inform 76:621–632\nFerranti JM, Musser RC, Kawamoto K, Hammond WE (2006) The clinical document architecture and the continuity of care record: a critical analysis. J Am Med Inform Assoc 13:245–252\nHallett C (2006) Summarisation and visualisation of e-health data repositories. Part of Clinical e-Science Framework (CLEF) project. UK e-Science All-Hands Meeting 2006, available at: http:\u002F\u002Foro.open.ac.uk\u002F5261\u002F01\u002FAHM06.pdf\nHartswood M, Jirotka M, Procter R, Slack R, Voss A, Lloyd S (2005) Working IT out in e-Science: experiences of requirements capture in a HealthGrid project. Stud Health Technol Inform 112:198–209\nHernandez V, Blanquer I (2005) The grid as a healthcare provision tool. Methods Inf Med 44:144–148\nHerveg J (2007) Does healthgrid present specific risks with regard to data protection? Stud Health Technol Inform 126:219–228\nKawamoto K, Lobach DF (2007) Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services. J Am Med Inform Assoc 14:146–155\nLaszlo_Systems (2007) Source for OpenLaszlo, an open source platform for rich Ajax application development. http:\u002F\u002Fwww.laszlosystems.com\u002F last accessed: June 2007\nMuller M, Frankewitsch T, Ganslandt T, Burkle T, Prokosch HU (2004) The Clinical Document Architecture (CDA) enables electronic medical records to wireless mobile computing. Medinfo 11:1448–1452\nNadkarni PM, Miller RA (2007) Service-oriented architecture in medical software: promises and perils. J Am Med Inform Assoc 14:244–246\nOlive M, Rahmouni H, Solomonides T (2007) From healthgrid to SHARE: a selective review of projects. Stud Health Technol Inform 126:306–313\nRogers J, Puleston C, Rector A (2006) The CLEF chronicle: transforming patient records into an E-Science resource. Part of Clinical e-Science Framework (CLEF) project. UK e-Science All-Hands Meeting 2006, available at: http:\u002F\u002Fwww.allhands.org.uk\u002F2006\u002Fproceedings\u002Fpapers\u002F688.pdf\nSteinichen P, Turisco F (2006) Service oriented architecture: adding value to legacy IT systems. AHIP Cover 47:54 56, 58–59\nUre J, Procter R, Martone M, Porteous D et al (2007) Data integration in ehealth: a domain\u002Fdisease specific roadmap. Stud Health Technol Inform 126:144–153\nVarious_authors (2007) Continua healthcare alliance; see http:\u002F\u002Fwww.continuaalliance.org Last accessed: June 2007\nVarious_authors (2005) Diabetes Continuing Care Reference dataset (DCCR); for details see http:\u002F\u002Fwww.ic.nhs.uk and http:\u002F\u002Fwww.ic.nhs.uk\u002Four-services\u002Fimproving-data-collection-and-use\u002Fdatasets Last accessed: June 2007\nDiabetes NSF (Wales) (2003) Standards http:\u002F\u002Fwww.wales.nhs.uk\u002Fsites3\u002Fhome.cfm?orgid=440 Last accessed June 2007\nFifth IMA International Conference on Quantitative Modelling in the Management of Healthcare (2007) Institute of Mathematics and its Applications. http:\u002F\u002Fwww.ima.org.uk\u002FConferences last accessed June 2007\nHealthGrid annual conferences, e.g. http:\u002F\u002Flyon2003.healthgrid.org, http:\u002F\u002Fclermont2004.healthgrid.org http:\u002F\u002Foxford2005.healthgrid.org\u002F, http:\u002F\u002Fvalencia2006.healthgrid.org\u002F http:\u002F\u002Fgeneva2007.healthgrid.org, URL's last accessed. May 2007\nThe NHS Common User Interface (CUI) Programme. Link accessed: https:\u002F\u002Fwww.cui.nhs.uk\u002FPages\u002FNHSCommonUserInterface.aspx, 2007\nOMII UK (2007) The OGSA-DAI Project—details at http:\u002F\u002Fwww.ogsadai.org.uk\u002F. Last accessed: June 2007\nWozak F, Ammenwerth E, Breu M, Penz R, Schabetsberger T, Vogl R, Wurz M (2006) Medical data GRIDs as approach towards secure cross enterprise document sharing (based on IHE XDS). Stud Health Technol Inform 124:377–383\nEvans E (2003) Domain-driven design: tackling complexity in the heart of software. 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chế tài trợ dịch vụ y tế đóng vai trò quan trọng trong việc theo đuổi các mục tiêu của hệ thống y tế, vì chúng cung cấp các động lực tài chính mạnh mẽ cho các tác nhân trong hệ thống đạt được các mục tiêu chính sách. Cơ chế tài trợ dựa trên một tập hợp các nguyên tắc kinh tế then chốt, hay các mục tiêu, nên hướng dẫn cho thiết kế và sử dụng của chúng: hiệu quả, công bằng và trách nhiệm. Hệ thống y tế của Úc đã historically thể hiện tương đối kém hơn so với các mục tiêu này, với bằng chứng về sự không hiệu quả, bất bình đẳng, và trách nhiệm kém trong nhiều lĩnh vực của dịch vụ y tế. Nguyên nhân chính của những thiếu sót này có thể nằm ở bộ phận phức tạp của các quy định về tài trợ và cung cấp dịch vụ ở cấp độ bang và liên bang. Những cải thiện đáng kể tiềm năng trong hiệu suất của hệ thống y tế sẽ có sẵn từ việc tích hợp tài trợ và cung cấp dịch vụ trong một cấp chính phủ duy nhất, kết hợp với việc phát triển một phương pháp tài trợ theo đầu người có trọng số quốc gia. Để phát triển mô hình tài trợ theo đầu người quốc gia, một số yếu tố độc đáo cần được xem xét, bao gồm tình trạng phân mảnh dịch vụ hiện tại, vai trò của khu vực tư nhân, nhu cầu của các cộng đồng bản địa, và tác động của tính nông thôn. Dữ liệu có sẵn để phát triển một mô hình tài trợ theo đầu người đạt được mức chi tiết và chất lượng mà không dễ dàng tìm thấy ở nơi khác. Nếu các tuyên bố chính sách thúc đẩy hiệu quả, trách nhiệm, và đặc biệt là công bằng sẽ được theo đuổi một cách chủ động, một mô hình tài trợ theo đầu người quốc gia dựa trên các phương pháp vững chắc nên trở thành nền tảng của cải cách hệ thống y tế Úc.","Health service funding mechanisms are pivotal in the pursuit of health system objectives, as they provide strong financial incentives for actors in the system to achieve policy goals. Underpinning funding mechanisms is a set of key economic principles, or objectives, that should guide their design and use: efficiency, equity, and accountability. The Australian health system has historically performed relatively poorly in relation to these objectives, with evidence of inefficiencies, inequities, and poor accountability in many areas of health services. The primary cause of these shortcomings may lie in the complex set of funding and delivery arrangements at the State and Federal levels of government. Potentially significant improvements in the performance of the health system would be available from the integration of the funding and delivery of services within a single tier of government, coupled with the development of a national weighted capitation approach to funding. To develop a national capitation funding model a number of unique factors require consideration, including the current fragmentation of services, the role of the private sector, the needs of indigenous populations, and the effects of rurality. The data available to develop a capitation model is of a level of detail and quality not readily found elsewhere. If policy statements promoting efficiency, accountability, and particularly equity are to be actively pursued, a national capitation model based on robust methods should become a cornerstone of Australian health system reform.",{"EN":2152,"VI":2153},"Capitation funding in Australia: Imperatives and impediments","Mô hình tài trợ theo đầu người tại Úc: Những yêu cầu và cản trở",{"VI":2155},"công bằng, hiệu quả, trách nhiệm, tài trợ theo đầu người, hệ thống y tế Úc",{"VOID":2157},"Australian Bureau of Statistics (ABS), Deaths Australia 1996 (ABS, Canberra, 1997).\nAustralian Bureau of Statistics (ABS), Causes of Death Australia 1996 (ABS, Canberra, 1997).\nAustralian Institute of Health and Welfare (AIHW), Health Expenditure Bulletin, number 13, AIHW, Canberra (1997).\nAustralian Institute of Health and Welfare (AIHW), Australia's Health 1998 (Australian Government Publishing Services, Canberra, 1998).\nJ. Butler, Health expenditure, in: Economics and Australian Health Policy, eds. G. Mooney and R. Scotton (Allen and Unwin, Victoria, 1998).\nR.A. Carr-Hill, N. Rice and P.C. Smith, Towards locally based resource allocation in the NHS, Discussion Paper 159, Centre for Health Economics, University of York (1998).\nCOAG, Discussion Paper: Streams of care, Commonwealth Department of Health and Family Services, Canberra (1995).\nCommonwealth Department of Health and Family Services, Medicare Benefits Schedule Book - November 1997 (Australian Government Publishing Service, Canberra, 1997).\nJ. Cromwell and J.B. Mitchell, Physician-induced demand for surgery, Journal of Health Economics 5 (1986) 293–313.\nA.J. Culyer, E. van Doorslaer and A. Wagstaff, Comment: utilisation as a measure of equity by Mooney, Hall, Donaldson and Gerard, Journal of Health Economics 11 (1992) 93–98.\nA.J. Culyer, E. van Doorslaer and A. Wagstaff, Access, utilisation and equity: A further comment, Journal of Health Economics 11 (1992) 207–210.\nA.J. Culyer, E. van Doorslaer and A. Wagstaff, Equity and equality in health and health care, Journal of Health Economics 12 (1993) 431–457.\nS. Duckett, Economics of hospital care, in: Economics and Australian Health Policy, eds. G. Mooney and R. Scotton (Allen and Unwin, Victoria, 1998).\nG. Eckstein and R.W. Gibberd, A Relative Health Need Index for New South Wales Areas and Districts (Health Services Research Group, Department of Statistics, University of Newcastle, 1994).\nGrants Commission, Health expenditure data files 1999, Grants Commission, Canberra (1999).\nA. Howe, The economics of aged care: achieving quality and containing costs, in: Economics and Australian Health Policy, eds. G. Mooney and R. Scotton (Allen and Unwin, Victoria, 1998).\nS. Jan and V. Wiseman, Equity in health care: some conceptual and practical issues, Australian and New Zealand Journal of Public Health 20 (1996) 9–11.\nD.R. Lairson, P. Hindson and A. Hauquitz, Equity of health care in Australia, Social Science and Medicine 41 (1995) 475–482.\nG. Mooney, And now for vertical equity? Some concerns arising from Aboriginal health in Australia, Health Economics 5 (1996) 99–103.\nG. Mooney, Equity in health care: confronting the confusion, Discussion Paper 11\u002F82, Health Economics Research Unit, Aberdeen (1982).\nG. Mooney, J. Hall, C. Donaldson and K. Gerard, Note. Utilisation as a measure of equity: Weighing heat?, Journal of Health Economics 10 (1991) 475–480.\nG. Mooney, J. Hall, C. Donaldson and K. Gerard, Reweighing heat: Response to Culyer, van Doorslaer and Wagstaff, Journal of Health Economics 11 (1992) 199–205.\nNSW Health Department, Implementation of the economic statement for health, NSW Health Department, Sydney (1996).\nNSW Health Department, A resource allocation formula for the NSW health system: 1993 revision, NSW Health Department, Sydney (1993).\nOECD, OECD Health Data 1996 (OECD\u002FCREDES, Paris, 1996).\nL. Paterson and H. Goldstein, New statistical methods for analysing social structures: an introduction to multilevel models, British Educational Research Journal 17 (1991) 387–393.\nJ. Patterson, National Health Care Reform - The Last Picture Show (Department of Human Services Victoria, Melbourne, 1995).\nPrivate Health Insurance Administration Council, Annual report 1991\u002F2 and 1996\u002F7, Canberra 1992 and 1997.\nQueensland Health, Resource allocation formula, Policy and Planning Branch, Queensland Health, Brisbane (1994).\nM. Renwick and K. Sadkowsky, Variations in surgery rates, Health Services Series no. 2, Australian Institute of Health, AGPS, Canberra (1991).\nJ. Richardson, Supplier induced demand reconsidered, in: Economics and Health 1998 (in press).\nJ. Richardson, I. Robertson and M. Hobbs, The impact of new technology on the treatment and cost of acute myocardial infarction in Australia, Health Economics Unit, Centre for Health Program Evaluation (1998).\nN.P. Roos and L.L. Roos, Small area variation, practice style and quality of care, in: Why are Some People Healthy and Others Not?, eds. R.G. Evans, M.L. Barer and T.R. Marmor (Aldine De Gruyter, New York, 1994).\nM.-A. Scott, Equity in the distribution of health care in Australia, in: Economics and Health 1996, ed. A. Harris (School of Health Services Management, University of New South Wales, 1997).\nT.A. Sheldon and R.A. Carr-Hill, Resource allocation by regression in the NHS: a statistical critique of the RAWP review, Journal of the Royal Statistical Society (Series A) 155 (1992) 403–420.\nP. Smith, T.A. Sheldon, R.A. Carr-Hill, S. Martin, S. Peacock and G. 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