Literature DB >> 6345946

An analysis of the use of Medicare services by the continuously enrolled aged.

N McCall, H S Wai.   

Abstract

This article discusses the utilization patterns of the Medicare aged who were continuously enrolled in the program for over a 4-year period. Data used for this study were compiled from a random sample of Medicare beneficiaries in Colorado who were continuously enrolled from October 1974 through December 1978. Five utilization variables: medical office visits, medical relative value units (RVUs), surgical RVUs, inpatient days, and covered dollars were examined in the article. Results from this study are consistent with previous longitudinal analyses. Consistent high users of services who consume substantial proportions of total expenditures and consistent nonusers having no or few services were found. During an average year of the 4-year period, it was observed that 18 per cent of the beneficiaries accounted for 88 per cent of the cost of services delivered. Because these high users tend to remain high users over time--more than one third of the high users in a given year continue to be high users during the following year--the findings here suggest that cost-containment strategies targeted to these high users may have a strong impact on overall Medicare program costs. Multivariate analysis is also conducted in this article so that the determinants of utilization patterns over time could be examined. Of particular interest is the finding that seasonal and trend variables play an important role in determining utilization over time.

Mesh:

Year:  1983        PMID: 6345946     DOI: 10.1097/00005650-198306000-00001

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  25 in total

1.  Understanding biased selection in Medicare HMOs.

Authors:  Michelle M Mello; Sally C Stearns; Edward C Norton; Thomas C Ricketts
Journal:  Health Serv Res       Date:  2003-06       Impact factor: 3.402

2.  Multiple prior years of health expenditures and Medicare health plan choice.

Authors:  Matthew L Maciejewski; Bryan Dowd; Heidi O'Connor
Journal:  Int J Health Care Finance Econ       Date:  2004-09

3.  Identification of factors associated with hospital readmission and development of a predictive model.

Authors:  J M Corrigan; J B Martin
Journal:  Health Serv Res       Date:  1992-04       Impact factor: 3.402

4.  Disaggregated annual health services expenditures: their predictability and role as predictors.

Authors:  A V Wouters
Journal:  Health Serv Res       Date:  1991-06       Impact factor: 3.402

5.  Patterns of health care use in a high-cost inpatient population in Ottawa, Ontario: a retrospective observational study.

Authors:  Paul E Ronksley; Jennifer A McKay; Daniel M Kobewka; Sunita Mulpuru; Alan J Forster
Journal:  CMAJ Open       Date:  2015-01-13

6.  Variations in physicians' hospitalization practices: a population-based study in Manitoba, Canada.

Authors:  N P Roos; G Flowerdew; A Wajda; R B Tate
Journal:  Am J Public Health       Date:  1986-01       Impact factor: 9.308

7.  Smoking and consistently high use of medical care among older HMO members.

Authors:  D K Freeborn; J P Mullooly; C R Pope; B H McFarland
Journal:  Am J Public Health       Date:  1990-05       Impact factor: 9.308

8.  Utilization of health services as events: an exploratory study.

Authors:  F Béland
Journal:  Health Serv Res       Date:  1988-06       Impact factor: 3.402

9.  Physician use by the elderly over an eight-year period.

Authors:  J M Mossey; E Shapiro
Journal:  Am J Public Health       Date:  1985-11       Impact factor: 9.308

10.  Are PRO discharge screens associated with postdischarge adverse outcomes?

Authors:  F Wei; D Mark; A Hartz; C Campbell
Journal:  Health Serv Res       Date:  1995-08       Impact factor: 3.402

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