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We then explain how the straightforward interpretation of interaction terms in linear models changes in nonlinear models, using graphs and equations. We extend the basic results from logit and probit to difference‐in‐differences models, models with higher powers of explanatory variables, other nonlinear models (including log transformation and ordered models), and panel data models.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Empirical Application\u003C\u002Fjats:title>\u003Cjats:p>We show how to calculate and interpret interaction effects using a publicly available Stata data set with a binary outcome. 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Available at:http:\u002F\u002Fftp.iza.org\u002Fdp3478.pdf.",{"doi":812},"10.2139\u002Fssrn.1136279",{"id":24,"text":814,"url":24,"identifiers":815},"10.1016\u002Fj.jhealeco.2007.09.009",{"doi":814},{"id":24,"text":817,"url":24,"identifiers":818},"10.1016\u002Fj.jhealeco.2007.03.002",{"doi":817},{"id":820,"createTime":821,"updateTime":821,"relativeEntities":822,"slug":823,"properties":824,"entityType":126,"verifyStatus":127,"verifyTime":821,"verifyNote":128,"languages":839,"translateLanguages":24,"viewCount":25,"primaryUrl":840,"fullTextUrl":24,"authors":841,"publicationType":306,"publisherRelationship":915,"citationCount":967,"citationInfo":968,"publishDate":971,"publishYear":969,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":972,"openAccess":24,"references":973,"isForceReanalyzing":471},"3998cb75-e380-4bc1-8d8b-bcc199965eb1","2024-12-26T06:35:05.207+00:00",[],"Changes-in-health-insurance-coverage-access-to-care-and-health-services-utilization-by-sexual-minority-status-in-the-United-States-2013-2018",{"mag":825,"pmc":827,"openalex":829,"abstract":831,"title":833,"pm":835,"doi":837},{"VOID":826},"3089384908",{"VOID":828},"7968940",{"VOID":830},"W3089384908",{"EN":832},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:sec>\u003Cjats:title>Objective\u003C\u002Fjats:title>\u003Cjats:p>To examine the changes in health insurance coverage, access to care, and health services utilization among nonelderly sexual minority and heterosexual adults between pooled years 2013‐2014 and 2017‐2018.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Data Sources\u003C\u002Fjats:title>\u003Cjats:p>Data on 3223 sexual minorities (lesbians, gay men, bisexual individuals, and other nonheterosexual populations) and 86 181 heterosexuals aged 18‐64 years were obtained from the 2013, 2014, 2017, and 2018 National Health Interview Surveys.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Study Design\u003C\u002Fjats:title>\u003Cjats:p>Unadjusted and regression‐adjusted estimates compared changes in health insurance status, access to care, and health services utilization for nonelderly adults by sexual minority status. Regression‐adjusted changes were obtained from logistic regression models controlling for demographic and socioeconomic characteristics.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Principal Findings\u003C\u002Fjats:title>\u003Cjats:p>Uninsurance declined for both sexual minority adults (5 percentage points, \u003Cjats:italic>P\u003C\u002Fjats:italic> < .05) and heterosexual adults (2.5 percentage points, \u003Cjats:italic>P\u003C\u002Fjats:italic> < .001) between 2013‐2014 and 2017‐2018. Reductions in uninsurance for sexual minority and heterosexual adults were associated with increases in Medicaid coverage. Sexual minority and heterosexual adults were also less likely to report unmet medical care in 2017‐2018 compared with 2013‐2014. Low‐income adults (regardless of sexual minority status) experienced relatively large increases in Medicaid coverage and substantial improvements in access to care over the study period. The gains in coverage and access to care across the study period were generally similar for heterosexual and sexual minority adults.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>\u003Cjats:sec>\u003Cjats:title>Conclusions\u003C\u002Fjats:title>\u003Cjats:p>Sexual minority and heterosexual adults have experienced improvements in health insurance coverage and access to care in recent years. Ongoing health equity research and public health initiatives should continue to monitor health care access and the potential benefits of recent health insurance expansions by sexual orientation and sexual minority status when possible.\u003C\u002Fjats:p>\u003C\u002Fjats:sec>",{"EN":834},"Changes in health insurance coverage, access to care, and health services utilization by sexual minority status in the United States, 2013‐2018",{"VOID":836},"33000467",{"VOID":838},"10.1111\u002F1475-6773.13567",[130],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002F1475-6773.13567",[842,869,888],{"id":843,"sortIndex":25,"researcher":24,"roles":844,"affiliations":845,"properties":862,"displayName":866,"givenName":24,"familyName":24},"ccfabc14-9fdd-4a4d-b03b-45646c3aa873",[],[846,854],{"id":847,"sortIndex":25,"affiliation":848,"properties":24},"d6ff6cd4-a68b-4e70-846b-00951752b858",{"id":847,"createTime":24,"updateTime":24,"relativeEntities":849,"slug":24,"properties":850,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":853,"statistic":24},[],{"title":851},{"VI":852},"Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA",[],{"id":855,"sortIndex":156,"affiliation":856,"properties":24},"01cd926e-b98f-4c2b-859b-e0c7c0746ec6",{"id":855,"createTime":24,"updateTime":24,"relativeEntities":857,"slug":24,"properties":858,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":861,"statistic":24},[],{"title":859},{"EN":860},"Department of Medicine, Health and Society, Vanderbilt University, Nashville, Tennessee, USA",[],{"orcid":863,"title":865,"openalex":867},{"VOID":864},"https:\u002F\u002Forcid.org\u002F0000-0002-4054-6564",{"EN":866},"Gilbert Gonzales",{"VOID":868},"A5012517281",{"id":870,"sortIndex":156,"researcher":24,"roles":871,"affiliations":872,"properties":881,"displayName":885,"givenName":24,"familyName":24},"9790185d-9dc0-46f1-91de-167b6b71670f",[],[873],{"id":874,"sortIndex":25,"affiliation":875,"properties":24},"646fb3b1-4542-4c12-beb7-cae24966c1cc",{"id":874,"createTime":24,"updateTime":24,"relativeEntities":876,"slug":24,"properties":877,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":880,"statistic":24},[],{"title":878},{"VI":879},"Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA",[],{"orcid":882,"title":884,"openalex":886},{"VOID":883},"https:\u002F\u002Forcid.org\u002F0000-0002-0273-0387",{"EN":885},"Carrie Henning‐Smith",{"VOID":887},"A5019284929",{"id":889,"sortIndex":174,"researcher":24,"roles":890,"affiliations":891,"properties":908,"displayName":912,"givenName":24,"familyName":24},"ca5154c2-d69b-4503-a1f2-32acaec8f6e7",[],[892,900],{"id":893,"sortIndex":25,"affiliation":894,"properties":24},"bf31a57d-290b-4f2e-8295-528605536d6e",{"id":893,"createTime":24,"updateTime":24,"relativeEntities":895,"slug":24,"properties":896,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":899,"statistic":24},[],{"title":897},{"EN":898},"Department of Advancing a Healthier Wisconsin Endowment, Medical College of Wisconsin, Milwaukee, Wisconsin, USA",[],{"id":901,"sortIndex":156,"affiliation":902,"properties":24},"6a806e0f-10c8-4cb9-9384-2a081c04fbfc",{"id":901,"createTime":24,"updateTime":24,"relativeEntities":903,"slug":24,"properties":904,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":907,"statistic":24},[],{"title":905},{"EN":906},"Division of AHW-Research and Education, Department of Anesthesiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA",[],{"orcid":909,"title":911,"openalex":913},{"VOID":910},"https:\u002F\u002Forcid.org\u002F0000-0003-3427-0140",{"EN":912},"Jesse M. 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Windsor. 77.2013.",{},{"id":24,"text":1014,"url":24,"identifiers":1015},"Supreme Court of the United States.Obergefell v. Hodges. 576 US.2015.",{},{"id":24,"text":1017,"url":24,"identifiers":1018},"10.1056\u002FNEJMp1508488",{"doi":1017},{"id":24,"text":1020,"url":24,"identifiers":1021},"10.1177\u002F1077558715625560",{"doi":1020},{"id":24,"text":1023,"url":24,"identifiers":1024},"10.1001\u002Fjama.2015.7950",{"doi":1023},{"id":24,"text":1026,"url":24,"identifiers":1027},"Dawson L, 2018, The Affordable Care Act and Insurance Coverage Changes by Sexual Orientation",{},{"id":24,"text":1029,"url":24,"identifiers":1030},"National Center for Health Statistics, 2017, Health, United States, 2016: With Chartbook on Long‐Term Trends in Health",{},{"id":24,"text":1032,"url":24,"identifiers":1033},"Blewett LA, 2016, IPUMS Health Surveys: National Health Interview Survey, Version 6.2",{},{"id":24,"text":1035,"url":24,"identifiers":1036},"10.1111\u002Fj.1475-6773.2010.01193.x",{"doi":1035},{"id":24,"text":1038,"url":24,"identifiers":1039},"Office of the Assistant Secretary for Planning and Evaluation, 2005, Understanding Estimates of the Uninsured: Putting the Differences in Context",{},{"id":24,"text":1041,"url":24,"identifiers":1042},"Hest R, 2020, SHADAC’s Coverage Hierarchy for American Community Survey (ACS) Estimates on State Health Compare Author",{},{"id":24,"text":1044,"url":24,"identifiers":1045},"StataCorp, 2015, Stata Statistical Software: Release 14",{},{"id":24,"text":1047,"url":24,"identifiers":1048},"National Center for Health Statistics, 2018, Multiple imputation of family income and personal earnings in the National Health Interview Survey: methods and examples",{},{"id":24,"text":1050,"url":24,"identifiers":1051},"10.1177\u002F1536867X1201200209",{"doi":1050},{"id":24,"text":1053,"url":24,"identifiers":1054},"KleinD.MIMRGNS: Stata module to run margins after mi estimate.Stata Software Components.2014.",{},{"id":24,"text":1056,"url":24,"identifiers":1057},"National Center for Health Statistics, 2018, National Health Interview Survey: Survey Description, 2017",{},{"id":24,"text":1059,"url":24,"identifiers":1060},"10.1111\u002Facem.12368",{"doi":1059},{"id":24,"text":1062,"url":24,"identifiers":1063},"10.1002\u002Faet2.10318",{"doi":1062},{"id":24,"text":1065,"url":24,"identifiers":1066},"National Center for Health Statistics, 2014, A Brief Quality Assessment of the NHIS Sexual Orientation Data",{},{"id":24,"text":1068,"url":24,"identifiers":1069},"10.1016\u002Fj.whi.2016.03.012",{"doi":1068},{"id":1071,"createTime":1072,"updateTime":1073,"relativeEntities":1074,"slug":1075,"properties":1076,"entityType":126,"verifyStatus":127,"verifyTime":1072,"verifyNote":128,"languages":1095,"translateLanguages":1096,"viewCount":25,"primaryUrl":1098,"fullTextUrl":24,"authors":1099,"publicationType":306,"publisherRelationship":1221,"citationCount":1273,"citationInfo":1274,"publishDate":1288,"publishYear":1275,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1289,"openAccess":24,"references":1290,"isForceReanalyzing":471},"6d67853d-c190-41a8-aee1-dbc5e983613a","2024-10-08T00:23:08.854+00:00","2024-12-25T10:57:16.452+00:00",[],"Assessing-Validity-of-ICD-9-CM-and-ICD-10-Administrative-Data-in-Recording-Clinical-Conditions-in-a-Unique-Dually-Coded-Database",{"mag":1077,"keywords":1079,"pmc":1081,"openalex":1083,"abstract":1085,"title":1088,"pm":1091,"doi":1093},{"VOID":1078},"1582456500",{"VI":1080},"ICD‐10, ICD‐9‐CM, tính hợp lệ, mã hóa, tình trạng lâm sàng, dữ liệu hành chính, độ nhạy, giá trị dự đoán",{"VOID":1082},"2517283",{"VOID":1084},"W1582456500",{"EN":1086,"VI":1087},"\u003Cjats:p>\u003Cjats:bold>Objective. \u003C\u002Fjats:bold> The goal of this study was to assess the validity of the International Classification of Disease, 10th Version (ICD‐10) administrative hospital discharge data and to determine whether there were improvements in the validity of coding for clinical conditions compared with ICD‐9 Clinical Modification (ICD‐9‐CM) data.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Methods. \u003C\u002Fjats:bold> We reviewed 4,008 randomly selected charts for patients admitted from January 1 to June 30, 2003 at four teaching hospitals in Alberta, Canada to determine the presence or absence of 32 clinical conditions and to assess the agreement between ICD‐10 data and chart data. We then recoded the same charts using ICD‐9‐CM and determined the agreement between the ICD‐9‐CM data and chart data for recording those same conditions. The accuracy of ICD‐10 data relative to chart data was compared with the accuracy of ICD‐9‐CM data relative to chart data.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Results. \u003C\u002Fjats:bold> Sensitivity values ranged from 9.3 to 83.1 percent for ICD‐9‐CM and from 12.7 to 80.8 percent for ICD‐10 data. Positive predictive values ranged from 23.1 to 100 percent for ICD‐9‐CM and from 32.0 to 100 percent for ICD‐10 data. Specificity and negative predictive values were consistently high for both ICD‐9‐CM and ICD‐10 databases. Of the 32 conditions assessed, ICD‐10 data had significantly higher sensitivity for one condition and lower sensitivity for seven conditions relative to ICD‐9‐CM data. The two databases had similar sensitivity values for the remaining 24 conditions.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Conclusions. \u003C\u002Fjats:bold> The validity of ICD‐9‐CM and ICD‐10 administrative data in recording clinical conditions was generally similar though validity differed between coding versions for some conditions. The implementation of ICD‐10 coding has not significantly improved the quality of administrative data relative to ICD‐9‐CM. Future assessments like this one are needed because the validity of ICD‐10 data may get better as coders gain experience with the new coding system.\u003C\u002Fjats:p>","\u003Cjats:p>\u003Cjats:bold>Mục tiêu. \u003C\u002Fjats:bold>Mục tiêu của nghiên cứu này là đánh giá tính hợp lệ của dữ liệu xuất viện bệnh viện hành chính trong phiên bản Phân Loại Bệnh Quốc Tế Thứ 10 (ICD‐10) và để xác định xem có sự cải thiện nào trong tính hợp lệ của mã hóa các tình trạng lâm sàng so với dữ liệu ICD‐9 Sửa Đổi Lâm Sàng (ICD‐9‐CM) hay không.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Phương pháp. \u003C\u002Fjats:bold>Chúng tôi đã xem xét 4.008 hồ sơ bệnh án được lựa chọn ngẫu nhiên của những bệnh nhân nhập viện từ ngày 1 tháng 1 đến ngày 30 tháng 6 năm 2003 tại bốn bệnh viện giảng dạy ở Alberta, Canada để xác định sự hiện diện hoặc không có 32 tình trạng lâm sàng và để đánh giá độ đồng thuận giữa dữ liệu ICD‐10 và dữ liệu hồ sơ. Chúng tôi sau đó mã hóa lại các hồ sơ tương tự bằng ICD‐9‐CM và xác định độ đồng thuận giữa dữ liệu ICD‐9‐CM và dữ liệu hồ sơ trong việc ghi nhận những tình trạng tương tự. Độ chính xác của dữ liệu ICD‐10 so với dữ liệu hồ sơ được so sánh với độ chính xác của dữ liệu ICD‐9‐CM so với dữ liệu hồ sơ.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Kết quả. \u003C\u002Fjats:bold>Giá trị độ nhạy dao động từ 9.3 đến 83.1 phần trăm cho ICD‐9‐CM và từ 12.7 đến 80.8 phần trăm cho dữ liệu ICD‐10. Giá trị tiên đoán dương dao động từ 23.1 đến 100 phần trăm cho ICD‐9‐CM và từ 32.0 đến 100 phần trăm cho dữ liệu ICD‐10. Giá trị độ đặc hiệu và giá trị tiên đoán âm luôn ở mức cao đối với cả hai cơ sở dữ liệu ICD‐9‐CM và ICD‐10. Trong số 32 tình trạng được đánh giá, dữ liệu ICD‐10 có độ nhạy cao hơn đáng kể cho một tình trạng và thấp hơn cho bảy tình trạng so với dữ liệu ICD‐9‐CM. Hai cơ sở dữ liệu có giá trị độ nhạy tương tự nhau đối với 24 tình trạng còn lại.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Kết luận. \u003C\u002Fjats:bold> Tính hợp lệ của dữ liệu hành chính ICD‐9‐CM và ICD‐10 trong việc ghi nhận tình trạng lâm sàng là tương tự nhau, mặc dù tính hợp lệ khác nhau giữa các phiên bản mã hóa đối với một số tình trạng. Việc triển khai mã hóa ICD‐10 chưa cải thiện đáng kể chất lượng dữ liệu hành chính so với ICD‐9‐CM. Những đánh giá trong tương lai như nghiên cứu này là cần thiết vì tính hợp lệ của dữ liệu ICD‐10 có thể được cải thiện khi các mã hóa viên có thêm kinh nghiệm với hệ thống mã hóa mới.\u003C\u002Fjats:p>",{"EN":1089,"VI":1090},"Assessing Validity of ICD‐9‐CM and ICD‐10 Administrative Data in Recording Clinical Conditions in a Unique Dually Coded Database","Đánh Giá Tính Hợp Lệ Của Dữ Liệu Hành Chính ICD‐9‐CM và ICD‐10 Trong Việc Ghi Lại Các Tình Trạng Lâm Sàng Trong Cơ Sở Dữ Liệu Mã Hóa Kép Độc Nhất",{"VOID":1092},"18756617",{"VOID":1094},"10.1111\u002Fj.1475-6773.2007.00822.x",[130],[1097],"VI","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1475-6773.2007.00822.x",[1100,1119,1138,1155,1172,1189,1204],{"id":1101,"sortIndex":25,"researcher":24,"roles":1102,"affiliations":1103,"properties":1112,"displayName":1116,"givenName":24,"familyName":24},"bc8882ea-6c4d-41bd-85f4-434d4e09e34b",[],[1104],{"id":1105,"sortIndex":25,"affiliation":1106,"properties":24},"11d74413-4fa8-443d-a759-9c779fa3061f",{"id":1105,"createTime":24,"updateTime":24,"relativeEntities":1107,"slug":24,"properties":1108,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1111,"statistic":24},[],{"title":1109},{"EN":1110},"Department of Community Health Sciences and Centre for Health and Policy Studies, University of Calgary, 3330 Hospital Dr. NW, Calgary, AB, Canada T2N 4N1,",[],{"orcid":1113,"title":1115,"openalex":1117},{"VOID":1114},"https:\u002F\u002Forcid.org\u002F0000-0002-7848-7256",{"EN":1116},"Hude Quan",{"VOID":1118},"A5090161362",{"id":1120,"sortIndex":156,"researcher":24,"roles":1121,"affiliations":1122,"properties":1131,"displayName":1135,"givenName":24,"familyName":24},"8f7010bf-686a-427e-b427-c2ec5f74f04c",[],[1123],{"id":1124,"sortIndex":25,"affiliation":1125,"properties":24},"54305ec6-ff65-41c4-87e2-47a037beb560",{"id":1124,"createTime":24,"updateTime":24,"relativeEntities":1126,"slug":24,"properties":1127,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1130,"statistic":24},[],{"title":1128},{"VI":1129},"Calgary Health Region, Calgary, AB, Canada",[],{"orcid":1132,"title":1134,"openalex":1136},{"VOID":1133},"https:\u002F\u002Forcid.org\u002F0000-0001-6983-7253",{"EN":1135},"Bing Li",{"VOID":1137},"A5100339896",{"id":1139,"sortIndex":174,"researcher":24,"roles":1140,"affiliations":1141,"properties":1150,"displayName":1152,"givenName":24,"familyName":24},"b0beff0f-e0e3-45a2-9957-072fcb9fb343",[],[1142],{"id":1143,"sortIndex":25,"affiliation":1144,"properties":24},"d1dabab0-cecf-404b-bcf8-0b7d1cf8c01a",{"id":1143,"createTime":24,"updateTime":24,"relativeEntities":1145,"slug":24,"properties":1146,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1149,"statistic":24},[],{"title":1147},{"VI":1148},"Department of Public Health Sciences, University of Alberta, Edmonton, AB, Canada",[],{"title":1151,"openalex":1153},{"EN":1152},"L. 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D.C., 1992, Medicare Reimbursement Accuracy under the Prospective Payment System, 1985 to 1988, Journal of the American Medical Association, 268, 896, 10.1001\u002Fjama.1992.03490070078046",{"doi":1321},"10.1001\u002Fjama.1992.03490070078046",{"id":24,"text":1323,"url":24,"identifiers":1324},"10.7326\u002F0003-4819-109-9-745",{"doi":1323},{"id":24,"text":1326,"url":24,"identifiers":1327},"Iezzoni L.I., 1990, Illness Severity and Costs of Admissions at Teaching and Nonteaching Hospitals, Journal of the American Medical Association, 264, 1426, 10.1001\u002Fjama.1990.03450110072030",{"doi":1328},"10.1001\u002Fjama.1990.03450110072030",{"id":24,"text":1330,"url":24,"identifiers":1331},"Janssen F., 2004, ICD Coding Changes and Discontinuities in Trends in Cause‐Specific Mortality in Six European Countries, 1950–99, Bulletin of World Health Organization, 82, 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Health Organization, 1992, International Statistical Classification of Disease and Related Health Problems, Tenth Revision (ICD‐10)",{},{"id":24,"text":1378,"url":24,"identifiers":1379},"10.1016\u002Fj.ajog.2005.08.058",{"doi":1378},{"id":1381,"createTime":1382,"updateTime":1382,"relativeEntities":1383,"slug":1384,"properties":1385,"entityType":126,"verifyStatus":127,"verifyTime":1382,"verifyNote":128,"languages":1400,"translateLanguages":24,"viewCount":25,"primaryUrl":1401,"fullTextUrl":24,"authors":1402,"publicationType":306,"publisherRelationship":1456,"citationCount":1508,"citationInfo":1509,"publishDate":1519,"publishYear":622,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1520,"openAccess":24,"references":1521,"isForceReanalyzing":471},"7627f071-127e-416e-a54a-f25961a3c824","2024-12-24T03:14:57.937+00:00",[],"Mistrust-of-Health-Care-Organizations-Is-Associated-with-Underutilization-of-Health-Services",{"mag":1386,"pmc":1388,"openalex":1390,"abstract":1392,"title":1394,"pm":1396,"doi":1398},{"VOID":1387},"2060661271",{"VOID":1389},"2796316",{"VOID":1391},"W2060661271",{"EN":1393},"\u003Cjats:p>\u003Cjats:bold>Purpose. \u003C\u002Fjats:bold> We report the validation of an instrument to measure mistrust of health care organizations and examine the relationship between mistrust and health care service underutilization.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Methods. \u003C\u002Fjats:bold> We conducted a telephone survey of a random sample of households in Baltimore City, MD. We surveyed 401 persons and followed up with 327 persons (81.5 percent) 3 weeks after the baseline interview. We conducted tests of the validity and reliability of the Medical Mistrust Index (MMI) and then conducted multivariate modeling to examine the relationship between mistrust and five measures of underutilization of health services.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Results. \u003C\u002Fjats:bold> Using principle components analysis, we reduced the 17‐item MMI to 7 items with a single dimension. Test–retest reliability was moderately strong, ranging from Pearson correlation of 0.346–0.697. In multivariate modeling, the MMI was predictive of four of five measures of underutilization of health services: failure to take medical advice (\u003Cjats:italic>b\u003C\u002Fjats:italic>=1.56, \u003Cjats:italic>p\u003C\u002Fjats:italic><.01), failure to keep a follow‐up appointment (\u003Cjats:italic>b\u003C\u002Fjats:italic>=1.11, \u003Cjats:italic>p\u003C\u002Fjats:italic>=.01), postponing receiving needed care (\u003Cjats:italic>b\u003C\u002Fjats:italic>=0.939, \u003Cjats:italic>p\u003C\u002Fjats:italic>=.01), and failure to fill a prescription (\u003Cjats:italic>b\u003C\u002Fjats:italic>=1.48, \u003Cjats:italic>p\u003C\u002Fjats:italic>=.002). MMI was not significantly associated with failure to get needed medical care (\u003Cjats:italic>b\u003C\u002Fjats:italic>=0.815, \u003Cjats:italic>p\u003C\u002Fjats:italic>=.06).\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Conclusions. \u003C\u002Fjats:bold> The MMI is a robust predictor of underutilization of health services. Greater attention should be devoted to building greater trust among patients.\u003C\u002Fjats:p>",{"EN":1395},"Mistrust of Health Care Organizations Is Associated with Underutilization of Health Services",{"VOID":1397},"19732170",{"VOID":1399},"10.1111\u002Fj.1475-6773.2009.01017.x",[130],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1475-6773.2009.01017.x",[1403,1420,1437],{"id":1404,"sortIndex":25,"researcher":24,"roles":1405,"affiliations":1406,"properties":1415,"displayName":1417,"givenName":24,"familyName":24},"4db83eeb-c8f9-44dc-b028-791d55d7f211",[],[1407],{"id":1408,"sortIndex":25,"affiliation":1409,"properties":24},"4b92a9bc-fd87-4207-9c94-1678c0200061",{"id":1408,"createTime":24,"updateTime":24,"relativeEntities":1410,"slug":24,"properties":1411,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1414,"statistic":24},[],{"title":1412},{"EN":1413},"Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, 624 N. 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P., 1979, Testing Plausible Path Models of Interpersonal Trust in Patient‐Physician Treatment Relationships, Social Science and Medicine, 13, 81",{},{"id":24,"text":1532,"url":24,"identifiers":1533},"10.1207\u002Fs15327752jpa6702_7",{"doi":1532},{"id":24,"text":1535,"url":24,"identifiers":1536},"10.1111\u002F1468-0009.00223",{"doi":1535},{"id":24,"text":1538,"url":24,"identifiers":1539},"10.1177\u002F1077558702059003004",{"doi":1538},{"id":24,"text":1541,"url":24,"identifiers":1542},"10.1093\u002Foxfordjournals.aje.a008983",{"doi":1541},{"id":24,"text":1544,"url":24,"identifiers":1545},"10.1016\u002FS0735-1097(03)00042-1",{"doi":1544},{"id":24,"text":1547,"url":24,"identifiers":1548},"LaVeist T. A., 2000, Attitudes about Racism, Medical Mistrust and Satisfaction with Care among African American and White Cardiac Patients, Medical Care Research and Review, 57, 146, 10.1177\u002F1077558700057001S07",{"doi":1549},"10.1177\u002F1077558700057001S07",{"id":24,"text":1551,"url":24,"identifiers":1552},"10.1300\u002FJ026v19n01_03",{"doi":1551},{"id":24,"text":1554,"url":24,"identifiers":1555},"10.1001\u002Fjama.1996.03530450083048",{"doi":1554},{"id":24,"text":1557,"url":24,"identifiers":1558},"10.1046\u002Fj.1525-1497.2000.11002.x",{"doi":1557},{"id":24,"text":1560,"url":24,"identifiers":1561},"10.1111\u002Fj.1525-1497.2004.21146.x",{"doi":1560},{"id":24,"text":1563,"url":24,"identifiers":1564},"10.1086\u002F268785",{"doi":1563},{"id":24,"text":1566,"url":24,"identifiers":1567},"10.1007\u002Fs11606-008-0575-3",{"doi":1566},{"id":24,"text":1569,"url":24,"identifiers":1570},"10.1097\u002F00001888-199902000-00019",{"doi":1569},{"id":24,"text":1572,"url":24,"identifiers":1573},"Thom D. H., 1997, Patient‐Physician Trust, Journal of Family Practice, 44, 169",{},{"id":24,"text":1575,"url":24,"identifiers":1576},"10.1093\u002Ffampra\u002F19.5.476",{"doi":1575},{"id":24,"text":1578,"url":24,"identifiers":1579},"10.1097\u002F00005650-199905000-00010",{"doi":1578},{"id":24,"text":1581,"url":24,"identifiers":1582},"10.1111\u002Fj.1365-2648.1988.tb00570.x",{"doi":1581},{"id":24,"text":1584,"url":24,"identifiers":1585},"Williams K. P., 2004, Issues of Trust in the Recruitment of African American Women into Breast Cancer Chemoprevention Trials, International Journal of Cancer Prevention, 1, 137",{},{"id":24,"text":1587,"url":24,"identifiers":1588},"10.1086\u002F269368",{"doi":1587},{"id":1590,"createTime":1591,"updateTime":1591,"relativeEntities":1592,"slug":1593,"properties":1594,"entityType":126,"verifyStatus":127,"verifyTime":1609,"verifyNote":128,"languages":1610,"translateLanguages":24,"viewCount":25,"primaryUrl":1611,"fullTextUrl":24,"authors":1612,"publicationType":306,"publisherRelationship":1666,"citationCount":1718,"citationInfo":1719,"publishDate":1727,"publishYear":361,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1728,"openAccess":24,"references":1729,"isForceReanalyzing":471},"6d250ae8-0fab-405e-9fcc-9211c3501a03","2024-12-06T08:48:21.028+00:00",[],"The-Contribution-of-Primary-Care-Systems-to-Health-Outcomes-within-Organization-for-Economic-Cooperation-and-Development-OECD-Countries-1970-1998",{"mag":1595,"pmc":1597,"openalex":1599,"abstract":1601,"title":1603,"pm":1605,"doi":1607},{"VOID":1596},"2024493505",{"VOID":1598},"1360919",{"VOID":1600},"W2024493505",{"EN":1602},"\u003Cjats:p>\u003Cjats:bold>Objective.\u003C\u002Fjats:bold>To assess the contribution of primary care systems to a variety of health outcomes in 18 wealthy Organization for Economic Cooperation and Development (OECD) countries over three decades.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Data Sources\u002FStudy Setting.\u003C\u002Fjats:bold>Data were primarily derived from OECD\u003Cjats:italic>Health Data 2001\u003C\u002Fjats:italic>and from published literature. The unit of analysis is each of 18 wealthy OECD countries from 1970 to 1998 (total\u003Cjats:italic>n\u003C\u002Fjats:italic>=504).\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Study Design.\u003C\u002Fjats:bold>Pooled, cross‐sectional, time‐series analysis of secondary data using fixed effects regression.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Data Collection\u002FExtraction Methods.\u003C\u002Fjats:bold>Secondary analysis of public‐use datasets. Primary care system characteristics were assessed using a common set of indicators derived from secondary datasets, published literature, technical documents, and consultation with in‐country experts.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Principal Findings.\u003C\u002Fjats:bold>The strength of a country's primary care system was negatively associated with (a) all‐cause mortality, (b) all‐cause premature mortality, and (c) cause‐specific premature mortality from asthma and bronchitis, emphysema and pneumonia, cardiovascular disease, and heart disease (\u003Cjats:italic>p\u003C\u002Fjats:italic><0.05 in fixed effects, multivariate regression analyses). This relationship was significant, albeit reduced in magnitude, even while controlling for macro‐level (GDP per capita, total physicians per one thousand population, percent of elderly) and micro‐level (average number of ambulatory care visits, per capita income, alcohol and tobacco consumption) determinants of population health.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Conclusions.\u003C\u002Fjats:bold>(1) Strong primary care system and practice characteristics such as geographic regulation, longitudinality, coordination, and community orientation were associated with improved population health. (2) Despite health reform efforts, few OECD countries have improved essential features of their primary care systems as assessed by the scale used here. 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J., 1987, Statistical Analysis with Missing Data",{},{"id":24,"text":1858,"url":24,"identifiers":1859},"10.1111\u002F1468-0009.00213",{"doi":1858},{"id":24,"text":1861,"url":24,"identifiers":1862},"Macinko J., 2002, International Journal of Equity in Health, 1",{},{"id":24,"text":1864,"url":24,"identifiers":1865},"Macintyre S., 2000, Social Epidemiology, 332, 10.1093\u002Foso\u002F9780195083316.003.0014",{"doi":1866},"10.1093\u002Foso\u002F9780195083316.003.0014",{"id":24,"text":1868,"url":24,"identifiers":1869},"10.1016\u002F0277-9536(89)90285-2",{"doi":1868},{"id":24,"text":1871,"url":24,"identifiers":1872},"McKeown T., 1976, The Role of Medicine: Dream, Mirage or Nemesis",{},{"id":24,"text":1874,"url":24,"identifiers":1875},"McKeown T., 1975, An Interpretation of the Decline in Mortality in England and Wales during the Twentieth Century, Population Studies, 29, 391, 10.1080\u002F00324728.1975.10412707",{"doi":1876},"10.1080\u002F00324728.1975.10412707",{"id":24,"text":1878,"url":24,"identifiers":1879},"McKinlay J., 1977, The Questionable Contribution of Medical Measures to the Decline of Mortality in the United States in the Twentieth Century, MMFQ Health and Society, 405",{},{"id":24,"text":1881,"url":24,"identifiers":1882},"10.2307\u002F3350064",{"doi":1881},{"id":24,"text":1884,"url":24,"identifiers":1885},"Murray C. J., 1997, Global Mortality, Disability, and the Contribution of Risk Factors, Lancet, 349, 1436, 10.1016\u002FS0140-6736(96)07495-8",{"doi":1886},"10.1016\u002FS0140-6736(96)07495-8",{"id":24,"text":1888,"url":24,"identifiers":1889},"Or Z., 2000, Determinants of Health in Industrialized Countries: A Pooled, Cross‐Country, Time Series Analyses",{},{"id":24,"text":1891,"url":24,"identifiers":1892},"Or Z., 2000, Exploring the Effects of Health Care on Mortality across OECD Countries",{},{"id":24,"text":1894,"url":24,"identifiers":1895},"Organization for Economic Cooperation and Development, 1995, New Directions in Health Care Policy",{},{"id":24,"text":1897,"url":24,"identifiers":1898},"Organization for Economic Cooperation and Development, 1995, Health Care Reform: Controlling Spending and Increasing Efficiency",{},{"id":24,"text":1900,"url":24,"identifiers":1901},"Organization for Economic Cooperation and Development, 2001, Health Data 2001: A Comparative Analysis of Thirty Countries",{},{"id":24,"text":1903,"url":24,"identifiers":1904},"10.2307\u002F3349375",{"doi":1903},{"id":24,"text":1906,"url":24,"identifiers":1907},"Roos N., 1979, Who Should Do the Surgery? Tonsillectomy and Adenoidectomy in One Canadian Province, Inquiry, 16, 73",{},{"id":24,"text":1909,"url":24,"identifiers":1910},"10.4135\u002F9781412985420",{"doi":1909},{"id":24,"text":1912,"url":24,"identifiers":1913},"10.2105\u002FAJPH.84.5.819",{"doi":1912},{"id":24,"text":1915,"url":24,"identifiers":1916},"10.1016\u002F0168-8510(94)00697-D",{"doi":1915},{"id":24,"text":1918,"url":24,"identifiers":1919},"10.2190\u002FBDUU-J0JD-BVEX-N90B",{"doi":1918},{"id":24,"text":1921,"url":24,"identifiers":1922},"10.2190\u002FN4M8-303M-72UA-P1K1",{"doi":1921},{"id":24,"text":1924,"url":24,"identifiers":1925},"Shi L., 1999, Income Inequality, Primary Care, and Health Indicators, Journal of Family Practice, 48, 275",{},{"id":24,"text":1927,"url":24,"identifiers":1928},"10.1016\u002FS0140-6736(94)90634-3",{"doi":1927},{"id":24,"text":1930,"url":24,"identifiers":1931},"Starfield B., 1996, The Future of Primary Care: Papers for a Symposium held on 13th September 1995, 18",{},{"id":24,"text":1933,"url":24,"identifiers":1934},"Starfield B., 1998, Primary Care: Balancing Health Needs, Services and Technology, 10.1093\u002Foso\u002F9780195125429.001.0001",{"doi":1935},"10.1093\u002Foso\u002F9780195125429.001.0001",{"id":24,"text":1937,"url":24,"identifiers":1938},"10.1016\u002FS0168-8510(01)00208-1",{"doi":1937},{"id":24,"text":1940,"url":24,"identifiers":1941},"Statacorp, 2001, Stata (release 7.0) statistical software",{},{"id":24,"text":1943,"url":24,"identifiers":1944},"Tacq J., 1997, Multivariate Analysis Techniques in Social Science Research",{},{"id":24,"text":1946,"url":24,"identifiers":1947},"10.1016\u002FS0167-6296(00)00050-3",{"doi":1946},{"id":24,"text":1949,"url":24,"identifiers":1950},"Villalbi J. R., 1999, Evaluacion del impacto de la reforma de la atencion primaria sobre la salud, Atención primaria, 24, 468",{},{"id":24,"text":1952,"url":24,"identifiers":1953},"10.2307\u002F3349946",{"doi":1952},{"id":24,"text":1955,"url":24,"identifiers":1956},"10.1596\u002F0-1952-0890-0",{"doi":1955},{"id":24,"text":1958,"url":24,"identifiers":1959},"World Health Organization, 1997, Tobacco or Health: A Global Status Report",{},{"id":24,"text":1961,"url":24,"identifiers":1962},"World Bank, 2000, World Health Report 2000",{},{"id":24,"text":1964,"url":24,"identifiers":1965},"World Organization of National Colleges, Academies and Academic Associations of General Practitioners\u002FFamily Physicians, 1991, The Role of the General Practitioner\u002FFamily Physician in Health Care Systems",{},{"id":1967,"createTime":1968,"updateTime":1968,"relativeEntities":1969,"slug":1970,"properties":1971,"entityType":126,"verifyStatus":23,"verifyTime":1968,"verifyNote":1986,"languages":1987,"translateLanguages":24,"viewCount":25,"primaryUrl":1988,"fullTextUrl":24,"authors":1989,"publicationType":306,"publisherRelationship":2051,"citationCount":2104,"citationInfo":2105,"publishDate":2108,"publishYear":2106,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":2109,"openAccess":24,"references":2110,"isForceReanalyzing":471},"23cb58d6-fa1d-4ee1-8d4d-a5a5d35caff1","2024-12-06T08:48:21.020+00:00",[],"The-Alignment-and-Blending-of-Payment-Incentives-within-Physician-Organizations",{"mag":1972,"pmc":1974,"openalex":1976,"abstract":1978,"title":1980,"pm":1982,"doi":1984},{"VOID":1973},"2120744935",{"VOID":1975},"1361085",{"VOID":1977},"W2120744935",{"EN":1979},"\u003Cjats:p>\u003Cjats:bold>Objective. \u003C\u002Fjats:bold> To analyze the blend of retrospective (fee‐for‐service, productivity‐based salary) and prospective (capitation, nonproductivity‐based salary) methods for compensating individual physicians within medical groups and independent practice associations (IPAs) and the influence of managed care on the compensation blend used by these physician organizations.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Data Sources. \u003C\u002Fjats:bold> Of the 1,587 medical groups and IPAs with 20 or more physicians in the United States, 1,104 responded to a one‐hour telephone survey, with 627 providing detailed information on physician payment methods.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Study Design. \u003C\u002Fjats:bold> We calculated the distribution of compensation methods for primary care and specialty physicians, separately, in both medical groups and IPAs. Multivariate regression methods were used to analyze the influence of market and organizational factors on the payment method developed by physician organizations for individual physicians.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Principal Findings. \u003C\u002Fjats:bold> Within physician organizations, approximately one‐quarter of physicians are paid on a purely retrospective (fee‐for‐service) basis, approximately one‐quarter are paid on a purely prospective (capitation, nonproductivity‐based salary) basis, and approximately one‐half on blends of retrospective and prospective methods. Medical groups and IPAs in heavily penetrated managed care markets are significantly less likely to pay their individual physicians based on fee‐for‐service than are organizations in less heavily penetrated markets.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Conclusions. \u003C\u002Fjats:bold> Physician organizations rely on a wide range of prospective, retrospective, and blended payment methods and seek to align the incentives faced by individual physicians with the market incentives faced by the physician organization.\u003C\u002Fjats:p>",{"EN":1981},"The Alignment and Blending of Payment Incentives within Physician Organizations",{"VOID":1983},"15333124",{"VOID":1985},"10.1111\u002Fj.1475-6773.2004.00305.x","Author affiliation is blank",[130],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1475-6773.2004.00305.x",[1990,2009,2020,2031,2042],{"id":1991,"sortIndex":25,"researcher":24,"roles":1992,"affiliations":1993,"properties":2002,"displayName":2006,"givenName":24,"familyName":24},"de7d0347-febc-46d5-81fc-af56d106d479",[],[1994],{"id":1995,"sortIndex":25,"affiliation":1996,"properties":24},"6966c838-8ff8-4f1b-8cc1-ecd59a071777",{"id":1995,"createTime":24,"updateTime":24,"relativeEntities":1997,"slug":24,"properties":1998,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2001,"statistic":24},[],{"title":1999},{"EN":2000},"University of California, Berkeley, School of Public Health, 140 Warren, Berkeley, CA 94720-7360, USA.",[],{"orcid":2003,"title":2005,"openalex":2007},{"VOID":2004},"https:\u002F\u002Forcid.org\u002F0000-0003-0056-3017",{"EN":2006},"James C. 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R. S. M.Shortell L. P.Casalino M. C.Wang J.Schmittdiel N.Pswald J.Robinson T.Bodenheimer T.Rundall andH.Schauffler.2003. “The National Study of Physician Organizations: Database Development Comparisons and Implications.” Unpublished manuscript. Berkeley: University of California.",{},{"id":24,"text":2158,"url":24,"identifiers":2159},"10.5034\u002Finquiryjrnl_39.1.34",{"doi":2158},{"id":24,"text":2161,"url":24,"identifiers":2162},"10.1377\u002Fhlthaff.17.3.227",{"doi":2161},{"id":24,"text":2164,"url":24,"identifiers":2165},"10.1086\u002F226424",{"doi":2164},{"id":24,"text":2167,"url":24,"identifiers":2168},"Institute of Medicine., 2001, Crossing the Quality Chasm: A New Health System for the Twenty‐first Century",{},{"id":24,"text":2170,"url":24,"identifiers":2171},"Kralewski J. E., 2000, The Effects of Medical Group Practice and Physician Payment Methods on Costs of Care, Health Services Research, 35, 591",{},{"id":24,"text":2173,"url":24,"identifiers":2174},"10.1086\u002F261616",{"doi":2173},{"id":24,"text":2176,"url":24,"identifiers":2177},"10.1111\u002Fj.1430-9134.1997.00091.x",{"doi":2176},{"id":24,"text":2179,"url":24,"identifiers":2180},"10.1086\u002F228945",{"doi":2179},{"id":24,"text":2182,"url":24,"identifiers":2183},"10.1377\u002Fhlthaff.16.5.7",{"doi":2182},{"id":24,"text":2185,"url":24,"identifiers":2186},"Newhouse J. P., 1996, Reimbursing Health Plans and Health Providers, Journal of Economic Literature, 34, 1236",{},{"id":24,"text":2188,"url":24,"identifiers":2189},"Penner M. J., 1997, Capitation in California: A Study of Physician Organizations Managing Risk",{},{"id":24,"text":2191,"url":24,"identifiers":2192},"Pratt J. W., 1985, Principals and Agents: The Structure of Business",{},{"id":24,"text":2194,"url":24,"identifiers":2195},"10.1257\u002Fjel.37.1.7",{"doi":2194},{"id":24,"text":2197,"url":24,"identifiers":2198},"10.1001\u002Fjama.282.13.1258",{"doi":2197},{"id":24,"text":2200,"url":24,"identifiers":2201},"Robinson J. C., 1999, The Corporate Practice of Medicine: Competition and Innovation in Health Care",{},{"id":24,"text":2203,"url":24,"identifiers":2204},"10.1111\u002F1468-0009.00202",{"doi":2203},{"id":24,"text":2206,"url":24,"identifiers":2207},"10.1056\u002FNEJM199512213332506",{"doi":2206},{"id":24,"text":2209,"url":24,"identifiers":2210},"10.1377\u002Fhlthaff.15.1.7",{"doi":2209},{"id":24,"text":2212,"url":24,"identifiers":2213},"10.1377\u002Fhlthaff.21.4.197",{"doi":2212},{"id":24,"text":2215,"url":24,"identifiers":2216},"10.1257\u002Fjep.5.2.45",{"doi":2215},{"id":2218,"createTime":2219,"updateTime":2219,"relativeEntities":2220,"slug":2221,"properties":2222,"entityType":126,"verifyStatus":127,"verifyTime":2219,"verifyNote":128,"languages":2237,"translateLanguages":24,"viewCount":25,"primaryUrl":2238,"fullTextUrl":24,"authors":2239,"publicationType":306,"publisherRelationship":2322,"citationCount":2375,"citationInfo":2376,"publishDate":2379,"publishYear":2377,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":2380,"openAccess":24,"references":2381,"isForceReanalyzing":471},"115a62ae-4609-4b6c-8ad6-5abb7436a037","2024-12-06T08:48:16.666+00:00",[],"The-Impact-of-Health-Plan-Delivery-System-Organization-on-Clinical-Quality-and-Patient-Satisfaction",{"mag":2223,"pmc":2225,"openalex":2227,"abstract":2229,"title":2231,"pm":2233,"doi":2235},{"VOID":2224},"2023740952",{"VOID":2226},"1797097",{"VOID":2228},"W2023740952",{"EN":2230},"\u003Cjats:p>\u003Cjats:bold>Objectives. \u003C\u002Fjats:bold> The purpose of this study was to examine the extent to which measures of health plan clinical performance and measures of patient perceptions of care are associated with health plan organizational characteristics, including the percentage of care provided based on a group or staff model delivery system, for‐profit (tax) status, and affiliation with a national managed care firm.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Data Sources. \u003C\u002Fjats:bold> Data describing health plans on region, age of health plan, for‐profit status, affiliation with a national managed care firm, percentage of Medicare business, total enrollment, ratio of primary care physicians to specialists, HMO penetration, and form of health care delivery system (e.g., IPA, network, mixed, staff, group) were obtained from InterStudy. Clinical performance measures for women's health screening rates, child and adolescent immunization rates, heart disease screening rates, diabetes screening rates, and smoking cessation were developed from HEDIS\u003Cjats:sup>®\u003C\u002Fjats:sup> data. Measures of patient perceptions of care are obtained from CAHPS\u003Cjats:sup>®\u003C\u002Fjats:sup> survey data submitted as Healthplan Employer Data and Information Set, Consumer Assessment of Health Plans 2.0 H.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Study Design. \u003C\u002Fjats:bold> Multivariate regression cross‐sectional analysis of 272 health plans was used to evaluate the relationship of health plan characteristics with measures of clinical performance and patient perceptions of care.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Principal Findings. \u003C\u002Fjats:bold> The form of delivery system, measured by percent of care delivered by staff and group model systems, is significantly related (\u003Cjats:italic>p\u003C\u002Fjats:italic>≤.05) with four of the five clinical performance indices but none of the three satisfaction performance indices. Other variables significantly associated with performance were being geographically located in the Northeast, having nonprofit status, and for patient satisfaction, not being part of a larger insurance company.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>Conclusions. \u003C\u002Fjats:bold> These comparative results provide evidence suggesting that the type of delivery system used by health plans is related to many clinical performance measures but is not related to patient perceptions of care. These findings underscore the importance of the form of the delivery system and the need for further inquiry that examines the relationship between organizational form and performance.\u003C\u002Fjats:p>",{"EN":2232},"The Impact of Health Plan Delivery System Organization on Clinical Quality and Patient Satisfaction",{"VOID":2234},"16899002",{"VOID":2236},"10.1111\u002Fj.1475-6773.2006.00529.x",[130],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1475-6773.2006.00529.x",[2240,2257,2274,2290,2307],{"id":2241,"sortIndex":25,"researcher":24,"roles":2242,"affiliations":2243,"properties":2252,"displayName":2254,"givenName":24,"familyName":24},"e2b5c295-9f85-490f-82f6-93359fe6af76",[],[2244],{"id":2245,"sortIndex":25,"affiliation":2246,"properties":24},"6623921a-0507-4810-b577-c5d851c75ab8",{"id":2245,"createTime":24,"updateTime":24,"relativeEntities":2247,"slug":24,"properties":2248,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2251,"statistic":24},[],{"title":2249},{"EN":2250},"School of Public Health, University of California, Berkeley, 140 Warren Hall, Berkeley, CA 94720-7360.",[],{"title":2253,"openalex":2255},{"EN":2254},"Robin R. 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