Methods for analyzing health care utilization and costs

Annual Review of Public Health

Volumn 20, Issue , 1999, Pages 125-144

  Diehr, P ^a   Yanez, D ^a   Ash, A ^b   Hornbrook, M ^c,d   Lin, D Y ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c Center for Health Research   (United States)

^d OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; HEALTH CARE ACCESS; HEALTH CARE COST; HEALTH CARE FINANCING; HEALTH CARE PLANNING; HEALTH CARE SYSTEM; HEALTH CARE UTILIZATION; HEALTH MAINTENANCE ORGANIZATION; MANAGED CARE; PRIORITY JOURNAL; REVIEW; STATISTICAL MODEL;

DATA INTERPRETATION, STATISTICAL; HEALTH CARE COSTS; HEALTH SERVICES; HEALTH SERVICES NEEDS AND DEMAND; HEALTH SERVICES RESEARCH; HUMANS; MODELS, STATISTICAL; UNITED STATES;

EID: 0033009724     PISSN: 01637525     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev.publhealth.20.1.125     Document Type: Review

References (35)

1. 1. Ash A, Porell F, Gruenberg L, Sawitz E, Beiser A, 1989. Adjusting Medicare capitation payments using prior hospitalization. Health Care Financ. Rev. 10(4):17-29
2. 2. Berlin MF, Faber BP, Berlin LM, Budzynski MR. 1997. RVU costing applications. Health Care Financ. Manage. 51:73-76
3. 3. Blough DK, Madden CW, Hornbrook MC. 1999. Modeling risk using generalized linear models. J. Health Econ. 18:153-71
4. 4. Cohen J. 1988. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Erlbaum. 567 pp.
5. 5. Cohen SB. 1997. Sample Design of the 1996 Medical Expenditure Panel Survey Household Component. MEPS Methodol. Rep. No. 2. AHCPR Pub. No. 97-0027. Rockville, MD: Agency Health Policy Res.
6. 6. Diehr P. 1980. Sample Size Calculation and Optimal Follow-Up Time in Health Services Research Using Utilization Rates. Tech. Rep. No. 42. Seattle: Dep. Biostat., Univ. Washington
7. 7. Diehr P, Madden C, Martin DP, Patrick DL, Mayers M, et al. 1993. Who enrolled in a state program for the uninsured: Was there adverse selection? Med. Care 31:1093-105
8. 8. Diehr P, Martin D, Price K, Friedlander L, Richardson W, Riedel D. 1984. Use of ambulatory care services in three provider plans: interactions between patient characteristics and plans. Am. J. Public Health 74:47-51
9. 9. Duan N. 1983. Smearing estimate: a nonparametric retransformation method. J. Am. Stat. Assoc. 78:605-10
10. 10. Duan N, Manning WG, Morris CN, Newhouse JP. 1983. A comparison of alternative models for the demand for medical care. J. Bus. Econ. Stat. 1:115-26
11. 11. Dudley RA, Harrell FE, Smith LE, Mark DB, Califf RM, et al. 1993. Comparison of analytic models for estimating the effect of clinical factors on the cost of coronary artery bypass graft surgery. J. Clin. Epidemiol. 46:261-71
12. 12. Ellis RP, Ash A. 1995/1996. Refinements to the diagnostic cost group (DCG) model. Inquiry 32:418-29
13. 13. Ellis RP, Pope G, Iezzoni LI, Ayanian JZ, Bates DW, et al. 1996. Diagnosis-based risk adjustment for Medicare capitation payments. Health Care Financ. Rev.
14. 14. Epstein AM, Cumella E. 1988. Capitation payment: using predictors of medical utilization to adjust rates. Health Care Financ. Rev. 10(1):51-70
15. 15. Etzioni R, Urban N, Baker M. 1996. Estimating the costs attributable to a disease with application to ovarian cancer. J. Clin. Epidemiol. 49:95-103
16. 16. Fenn P, McGuire A, Phillips V, Backhouse M, Jones D. 1995. The analysis of censored treatment cost data in economic evaluation. Med. Care 33:851-63
17. 17. Galsonis C, Normand SL, Liu C, Morris C. 1993. Geographic variation of procedure utilization: a hierarchical model approach. Med. Care 31:YS54-59
18. 18. Hiatt RA, Quesenberry CP, Selby JV, Fireman BH, Knight A, 1990. The cost of acquired immunodeficiency syndrome in Northern California: the experience of a large prepaid health plan. Arch. Intern. Med. 150:833-38
19. 19. Iezroni LI, ed. 1997. Risk Adjustment for Measuring Health Care Outcomes. Ann Arbor, MI/Chicago: Health Admin. 610 pp.
20. 20. Kronick R, Dreyfus T, Lee L, Zhou Z. 1996. Diagnostic risk adjustment for Medicaid: the Disability Payment System. Health Care Financ. Rev. 17:7-33
21. 21. Liang KY, Zeger S. 1993. Regression analysis for correlated data. Annu. Rev. Public Health 14:43-68
22. 22. Lin DY, Feuer EJ, Etzioni R, Way Y. 1997. Estimating medical costs from incomplete follow-up data. Biometrics 53:419-34
23. 23. Lipscomb J, Ancukiewica M, Parmigiani G, Hasselblad V, Samsa G, Matchar DB. 1998. Predicting the cost of illness: a comparison of alternative models applied to stroke. Med. Decis. Making 18 (Suppl.): S39-56
24. 24. Martin D, Diehr P, Cheadle A, Madden C, Patrick D, Skillman S. 1997. Health care utilization for the "newly insured": results from the Washington Basic Health Plan. Inquiry 34:129-142
25. 25. McCullagh P, Nelder J. 1983. Generalized linear models. New York: Chapman & Hall. 261 pp.
26. 26. McGlynn EA, Danberg C, Kerr EA, Brook RH. 1999. Health Information Systems: Design Issues and Analytic Applications, RAND MR-967-HF. Santa Monica, CA: RAND.
27. 27. Newhouse JP. 1982. Is competition the answer? J. Health Econ. 1:109-15
28. 28. Newhouse JP, Manning WG, Keeler EB, Sloss EM. 1989. Adjusting capitation rates using objective health measures and prior utilization. Health Care Financ. Rev. 10:41-54
29. 29. O'Brien BJ, Drummond MF, Labelle RJ, Willan A. 1994. In search of power and significance: issues in the design and analysis of stochastic cost-effectiveness studies in health care. Med. Care 32:150-63
30. 30. Quesenberry CP, Fireman B, Hiatt RA, Selby JV, 1989. A survival analysis of hospitalization among patients with acquired immunodeficiency syndrome. Am. J. Public Health 79:1643-47
31. 31. Salem-Schatz S, Moore G, Rucker M, Pcarson SD. 1994. The case for case-mix adjustment in practice profiling: when good apples look bad, J. Am. Med. Assoc. 272(11):871-74
32. 32. Siegel C, Alexander MJ, Lin S, Laska E. 1986. An alternative to DRGs: a clinically meaningful and cost-reducing approach. Med. Care 24(5):407-17
33. 33. Starfield B, Weiner J, Mumford L, Steinwachs D. 1991. Ambulatory care groups: a categorization of diagnoses for research and management. Health Serv. Res. 26:53-74
34. 34. Weiner JP, Starfield BH, Steinwachs DM, Mumford LM. 1996. Development and application of a population-oriented measure of ambulatory care case-mix. Med. Care 29:452-72
35. 35. Zhao H, Tsiatis AA. 1997. A consistent estimator for the quality adjusted survival time. Biometrika 84:339-48