Quantifying morbidities by Adjusted Clinical Group system for a Taiwan population: A nationwide analysis

BMC Health Services Research

Volumn 8, Issue , 2008, Pages

  Lee, Wui Chiang ^a,b  

^a TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADJUSTED CLINICAL GROUP SYSTEM; ARTICLE; COMPUTER PROGRAM; CORRELATION ANALYSIS; DATA ANALYSIS; HEALTH CARE COST; HEALTH CARE UTILIZATION; HUMAN; MORBIDITY; PARAMETER; QUANTITATIVE ANALYSIS; RELATIVE WEIGHT; RELIABILITY; STATISTICAL ANALYSIS; TAIWAN; VALIDITY; ACUTE DISEASE; AMBULATORY CARE; CHRONIC DISEASE; ECONOMICS; FEASIBILITY STUDY; INSURANCE; REPRODUCIBILITY; RETROSPECTIVE STUDY; STATISTICS; UTILIZATION REVIEW; VALIDATION STUDY;

ACUTE DISEASE; AMBULATORY CARE; CHRONIC DISEASE; FEASIBILITY STUDIES; HEALTH CARE COSTS; HUMANS; INSURANCE CLAIM REVIEW; MORBIDITY; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; TAIWAN;

EID: 48749097466     PISSN: None     EISSN: 14726963     Source Type: Journal    
DOI: 10.1186/1472-6963-8-153     Document Type: Article

References (30)

1. Taiwan's new national health insurance program: genesis and experience so far. TM Cheng, Health Aff (Millwood) 2003 22 61 76 10.1377/hlthaff.22.3.61 12757273
2. Health and National Health Insurance Annual Statistics Information Services, Department of Health, the Executive Yuan, Taiwan, Republic of China (in Chinese). http://www.doh.gov.tw/statistic/index.htm
3. The effects of the global budget system on cost containment and the quality of care: experience in Taiwan. L Chang JH Hung, Health Serv Manage Res 2008 21 106 116 18482934
4. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. JL Wolff B Starfield G Anderson, Arch Intern Med 2002 162 2269 2276 10.1001/archinte.162.20.2269 12418941
5. Comorbidity and the use of primary care and specialist care in the elderly. B Starfield KW Lemke R Herbert WD Pavlovich G Anderson, Ann Fam Med 2005 3 215 222 15928224 10.1370/afm.307
6. Comorbidity: implications for the importance of primary care in 'case' management. B Starfield KW Lemke T Bernhardt SS Foldes CB Forrest JP Weiner, Ann Fam Med 2003 1 8 14 15043174 10.1370/afm.1
7. Performance of the ACG case-mix system in two Canadian provinces. RJ Reid L MacWilliam L Verhulst N Roos M Atkinson, Med Care 2001 39 86 99 10.1097/00005650-200101000-00010 11176546
8. Applying population-based case mix adjustment in managed care: the Johns Hopkins Ambulatory Care Group system. NS Smith JP Weiner, Manag Care Q 1994 2 21 34 10136807
9. Development and application of a population-oriented measure of ambulatory care case-mix. JP Weiner BH Starfield DM Steinwachs LM Mumford, Med Care 1991 29 452 472 10.1097/00005650-199105000-00006 1902278
10. Ambulatory care groups: a categorization of diagnoses for research and management. B Starfield J Weiner L Mumford D Steinwachs, Health Serv Res 1991 26 53 74 1901841
11. Evaluating diagnosis-based case-mix measures: how well do they apply to the VA population? AK Rosen S Loveland JJ Anderson JA Rothendler CS Hankin CC Rakovski MA Moskowitz DR Berlowitz, Med Care 2001 39 692 704 10.1097/00005650-200107000-00006 11458134
12. Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba. RJ Reid NP Roos L MacWilliam N Frohlich C Black, Health Serv Res 2002 37 1345 1364 12479500 10.1111/1475-6773.01029
13. Patient based 'burden-of-illness' in Swedish primary health care. Applying the Johns Hopkins ACG case-mix system in a retrospective study of electronic patient records. L Carlsson U Borjesson L Edgren, Int J Health Plann Manage 2002 17 269 282 10.1002/hpm.674 12298147
14. Types of morbidity and categories of patients in a Swedish county. Applying the Johns Hopkins Adjusted Clinical Groups System to encounter data in primary health care. L Carlsson LE Strender G Fridh G Nilsson, Scand J Prim Health Care 2004 22 174 179 10.1080/02813430410006567 15370795
15. The importance of comorbidity in analysing patient costs in Swedish primary care. SG Engstrom L Carlsson CJ Ostgren GH Nilsson LA Borgquist, BMC Public Health 2006 6 36 16483369 10.1186/1471-2458-6-36
16. A patient classification system for our primary care: the ambulatory care groups (ACGs). S Juncosa B Bolibar, Gac Sanit 1997 11 83 94 9378577
17. Application of the ambulatory care groups in the primary care of a European national health care system: does it work? JF Orueta J Lopez-De-Munain K Baez JM Aiarzaguena JI Aranguren E Pedrero, Med Care 1999 37 238 248 10.1097/00005650-199903000-00004 10098568
18. Adjusted Clinical Groups (ACGs) explain the utilization of primary care in Spain based on information registered in the medical records: a cross-sectional study. JF Orueta J Urraca I Berraondo J Darpon JJ Aurrekoetxea, Health Policy 2006 76 38 48 10.1016/j.healthpol.2005.04.005 15946763
19. Healthcare utilization patterns and risk adjustment under Taiwan's National Health Insurance system. RE Chang W Lin CJ Hsieh TL Chiang, J Formos Med Assoc 2002 101 52 59 11911039
20. Explanatory ability of the ACG system regarding the utilization and expenditure of the national health insurance population in Taiwan - A 5-year Analysis. WC Lee TP Huang, J Chin Med Assoc 2008 71 191 199 18436502
21. Applying the Adjusted Clinical Groups system to quantify veterans' morbidity burdens and adjusted their medical utilizations (in Chinese). WC Lee JS Yang SH Hung TP Huang, JHM 2007 8 67 84
22. The Johns Hopkins ACG Case-Mix System. Version 7.0 Release Notes. Baltimore: Johns Hopkins Bloomberg School of Public Health 2005
23. Risk-adjusted Medicare capitation rates using ambulatory and inpatient diagnoses. JP Weiner A Dobson SL Maxwell K Coleman B Starfield GF Anderson, Health Care Financ Rev 1996 17 77 99 10158737
24. Do different case-mix measures affect assessments of provider efficiency? Lessons from the Department of Veterans Affairs. AK Rosen SA Loveland CC Rakovski CL Christiansen DR Berlowitz, J Ambul Care Manage 2003 26 229 242 12856502
25. The rise in spending among Medicare beneficiaries: the role of chronic disease prevalence and changes in treatment intensity. KE Thorpe DH Howard, Health Aff (Millwood) 2006 25 w378 w388 10.1377/hlthaff.25.w378 16926180
26. The importance of the data quality in the validation of the ACG case mix. Ambulatory care groups. JF Orueta dM Lopez G Grandes, Aten Primaria 1998 22 128 9717358
27. Taking health status into account when setting capitation rates: a comparison of risk-adjustment methods. JB Fowles JP Weiner D Knutson E Fowler AM Tucker M Ireland, JAMA 1996 276 1316 1321 10.1001/jama.276.16.1316 8861990
28. The development of a risk-adjusted capitation payment system: the Maryland Medicaid model. JP Weiner AM Tucker AM Collins H Fakhraei R Lieberman C Abrams GR Trapnell JG Folkemer, J Ambul Care Manage 1998 21 29 52 10387436
29. Using risk-adjustment models to identify high-cost risks. RT Meenan MJ Goodman PA Fishman MC Hornbrook MC O'Keeffe-Rosetti DJ Bachman, Med Care 2003 41 1301 1312 10.1097/01.MLR.0000094480.13057.75 14583693
30. Predicting resource utilization in a Veterans Health Administration primary care population: comparison of methods based on diagnoses and medications. TL Wahls MJ Barnett GE Rosenthal, Med Care 2004 42 123 128 10.1097/01.mlr.0000108743.74496.ce 14734949