Importance of health system context for evaluating utilization patterns across systems

Health Economics (United Kingdom) - Tập 20 Số 2 - Trang 239-251 - 2011
James Burgess1,2, Matthew L. Maciejewski3,4, Chris L. Bryson5,6, Michael K. Chapko7,6, John C. Fortney8,9,10, Mark Perkins6, NANCY SHARP7,6, Chuan‐Fen Liu7,6
1Center for Organization, Leadership and Management Research, Department of Veterans Affairs, Boston, MA, USA
2Department of Health Policy and Management, School of Public Health, Boston University, Boston, MA, USA
3Center for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA
4Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC, USA
5Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
6Northwest Center for Outcomes Research in Older Adults, VA Puget Sound Health Care System, Seattle, WA, USA
7Department of Health Services, School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA
8Center for Mental Healthcare and Outcomes Research, VA Central Arkansas Healthcare System, Little Rock, AR, USA
9Division of Health Services Research, Department of Psychiatry and Behavioral Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA
10South Central Mental Illness Research Education and Clinical Center, VA Central Arkansas Veterans Healthcare System, Little Rock, AR, USA

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Tài liệu tham khảo

Ashton, 1998, The veterans affairs medical care system: hospital and clinic utilization statistics for 1994, Medical Care, 36, 793, 10.1097/00005650-199806000-00003

Byford, 2007, Comparison of alternative methods of collection of service use data for the economic evaluation of health care interventions, Journal of Health Economics, 16, 531, 10.1002/hec.1175

Byrne, 2006, Effect of using information from only one system for dually eligible health care users, Medical Care, 44, 768, 10.1097/01.mlr.0000218786.44722.14

Carey, 2008, Use of VA and Medicare services by dually eligible veterans with psychiatric problems, Health Services Research, 43, 1163, 10.1111/j.1475-6773.2008.00840.x

Cromwell, 2006, Validating CPT typical times for Medicare office evaluation and management(e/m) services, Medical Care Research and Review, 63, 236, 10.1177/1077558705285301

Currie, 2005, The routine collation of health outcomes data from hospital treated subjects in the health outcomes data repository (HODAR): descriptive analysis from the first 20,000 subjects, Value in Health, 8, 581, 10.1111/j.1524-4733.2005.00046.x

Dismuke, 2005, Underreporting of computed tomography and magnetic resonance imaging procedures in inpatient claims forms, Medical Care, 43, 713, 10.1097/01.mlr.0000167175.72130.a7

Fleming, 1992, Studying outcomes and hospital utilization in the elderly. The advantages of a merged data base for Medicare and veterans affairs hospitals, Medical Care, 30, 377, 10.1097/00005650-199205000-00001

Henderson, 2006, Quality of diagnosis and procedure coding in icd-10 administrative data, Medical Care, 44, 1011, 10.1097/01.mlr.0000228018.48783.34

Hornbrook, 2005, Building a virtual cancer research organization, Journal of the National Cancer Institute Monographs, 2005, 12, 10.1093/jncimonographs/lgi033

Hsia, 1992, Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988, Journal of the American Medical Association, 268, 896, 10.1001/jama.268.7.896

Hsia, 1988, Accuracy of diagnostic coding for Medicare patients under the prospective-payment system, New England Journal of Medicine, 318, 352, 10.1056/NEJM198802113180604

Hynes, 2007, Veterans' access to and use of Medicare and veterans affairs health care, Medical Care, 45, 214, 10.1097/01.mlr.0000244657.90074.b7

Iezzoni, 1997, Assessing quality using administrative data, Annals of Internal Medicine, 127, 666, 10.7326/0003-4819-127-8_Part_2-199710151-00048

Kashner, 1998, Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs, Medical Care, 36, 1324, 10.1097/00005650-199809000-00005

Levin, 2004, Turf wars in radiology: the overutilization of imaging resulting from self-referral, Journal of the American College of Radiologists, 1, 169, 10.1016/j.jacr.2003.12.009

Maciejewski, 2009, Medicare managed care enrollment by disability-eligible and age-eligible veterans, Medical Care, 47, 1180, 10.1097/MLR.0b013e3181b58e17

Maciejewski, 2007, Utilization and expenditures of veterans obtaining primary care in community clinics and VA medical centers: an observational cohort study, BMC Health Services Research, 7, 56, 10.1186/1472-6963-7-56

Maselli, 2001, Measuring antibiotic prescribing practices among ambulatory physicians: accuracy of administrative claims data, Journal of Clinical Epidemiology, 54, 196, 10.1016/S0895-4356(00)00269-9

McCarthy, 2000, Does clinical evidence support icd-9-cm diagnosis coding of complications?, Medical Care, 38, 868, 10.1097/00005650-200008000-00010

Mitchell, 1994, Using Medicare claims for outcomes research, Medical Care, 32, JS38

Peabody, 2004, Assessing the accuracy of administrative data in health information systems, Medical Care, 42, 1066, 10.1097/00005650-200411000-00005

Persell, 2006, Assessing the validity of national quality measures for coronary artery disease using an electronic health record, Archives of Internal Medicine, 166, 2272, 10.1001/archinte.166.20.2272

Shah, 2007, Administrative data algorithms can describe ambulatory physician utilization, Health Services Research, 42, 1783, 10.1111/j.1475-6773.2006.00681.x

Shea, 1999, Medicare physician referral patterns, Health Services Research, 34, 331

Silverman, 2004, Medicare upcoding and hospital ownership, Journal of Health Economics, 23, 369, 10.1016/j.jhealeco.2003.09.007

Steele, 2004, Using administrative data to measure ambulatory mental health service provision in primary care, Medical Care, 42, 960, 10.1097/00005650-200410000-00004

Szeto, 2002, Accuracy of computerized outpatient diagnoses in a veterans affairs general medicine clinic, American Journal of Managed Care, 8, 37

Tang, 2007, Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures, Journal of the American Medical Informatics Association, 14, 10, 10.1197/jamia.M2198

Tisnado, 2006, What is the concordance between the medical record and patient self-report as data sources for ambulatory care?, Medical Care, 44, 132, 10.1097/01.mlr.0000196952.15921.bf

Tisnado, 2007, Does concordance between data sources vary by medical organization type?, American Journal of Managed Care, 13, 289

Wakefield, 1999, Issues in the statistical analysis of small area health data, Statistics in Medicine, 18, 2377, 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2377::AID-SIM263>3.0.CO;2-G

Weeks, 2005, Veterans Health Administration and Medicare outpatient health care utilization by older rural and urban New England veterans, Journal of Rural Health, 21, 167, 10.1111/j.1748-0361.2005.tb00077.x

Weiss, 1996, Clinical Epidemiology: The Study of the Outcome of Illness

West, 2007, Who pays when VA users are hospitalized in the private sector? Evidence from Three Data Sources, Medical Care, 45, 1003, 10.1097/MLR.0b013e318070c6e2

West, 2008, When VA patients have non-VA hospitalizations, who pays for what services, and what are the research implications? A New York case study, Medical Care, 46, 872, 10.1097/MLR.0b013e3181791ac0

Wolinsky, 2007, Hospital episodes and physician visits: the concordance between self-reports and Medicare claims, Medical Care, 45, 300, 10.1097/01.mlr.0000254576.26353.09

Wray, 1995, Using administrative databases to evaluate the quality of medical care: a conceptual framework, Social Science and Medicine, 40, 1707, 10.1016/0277-9536(94)00275-X

Wright, 1999, Increasing use of Medicare services by veterans with acute myocardial infarction, Medical Care, 37, 529, 10.1097/00005650-199906000-00002