Literature DB >> 11330450

Health outcomes. New quality measure for Medicare.

J K Cooper1, T Kohlmann, J A Michael, S C Haffer, M Stevic.   

Abstract

OBJECTIVE: A new measurement of health care quality for Medicare beneficiaries has been implemented by the Health Care Financing Administration (HCFA). This paper describes the program, presents baseline data and highlights associated issues.
DESIGN: The Health Outcomes Survey (HOS) is a longitudinal cohort mail survey. Changes in population health status after 2 years will be evaluated on an individual plan level.
SETTING: Two-hundred and eighty-seven US Medicare managed care plans. MAIN OUTCOMES MEASURES: Physical component and mental component summary scales derived from the SF-36.
FINDINGS: Baseline data documented lower health status in older populations, while functional limitations and disease prevalence were higher. Among different plans, mean functional levels were found to be similar, although a few plans contained populations with exceptionally low levels. These data do not support the assertion that enrolees in for-profit plans are healthier than non-profit plans. CONCLUSIONS/IMPLICATIONS: The HOS is the first large-scale program to evaluate health outcomes among older Americans. HCFA recognizes several technical and policy issues. Technical issues include possible biased reporting for subpopulations, the validity of proxy responses and respondent burden. Policy issues concern the appropriateness of using a generic measure such as the SF-36 and how much change in health status can be attributed to quality of health care. HCFA plans to extend the HOS to beneficiaries in traditional Medicare. The HOS project is expected to encourage more efforts to maintain or improve the health status of the Medicare managed care population.

Mesh:

Year:  2001        PMID: 11330450     DOI: 10.1093/intqhc/13.1.9

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  20 in total

1.  Development of a prognostic model for six-month mortality in older adults with declining health.

Authors:  Paul K J Han; Minjung Lee; Bryce B Reeve; Angela B Mariotto; Zhuoqiao Wang; Ron D Hays; K Robin Yabroff; Marie Topor; Eric J Feuer
Journal:  J Pain Symptom Manage       Date:  2011-11-08       Impact factor: 3.612

2.  Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: examining the EQ-5D in the U.S. general population.

Authors:  Erica I Lubetkin; Haomiao Jia; Peter Franks; Marthe R Gold
Journal:  Qual Life Res       Date:  2005-12       Impact factor: 4.147

3.  Change in health status and mortality as indicators of outcomes: comparison between the Medicare Advantage Program and the Veterans Health Administration.

Authors:  Alfredo J Selim; Lewis E Kazis; William Rogers; Shirley X Qian; James A Rothendler; Avron Spiro; Xinhua S Ren; Donald Miller; Bernardo J Selim; Benjamin G Fincke
Journal:  Qual Life Res       Date:  2007-05-25       Impact factor: 4.147

4.  Benchmarking physical therapy clinic performance: statistical methods to enhance internal validity when using observational data.

Authors:  Linda Resnik; Dawei Liu; Dennis L Hart; Vince Mor
Journal:  Phys Ther       Date:  2008-08-08

5.  Impact of a senior fitness program on measures of physical and emotional health and functioning.

Authors:  Brent Hamar; Carter R Coberley; James E Pope; Elizabeth Y Rula
Journal:  Popul Health Manag       Date:  2013-04-05       Impact factor: 2.459

6.  Quality of life of patients with rheumatoid arthritis in Argentina: reliability, validity, and sensitivity to change of a Spanish version of the Rheumatoid Arthritis Quality of Life questionnaire.

Authors:  Christian A Waimann; Fernando M Dal Pra; Maria F Marengo; Emilce E Schneeberger; Susana Gagliardi; Jose A Maldonado Cocco; Mónica Sanchez; A Garone; Rafael E Chaparro del Moral; Oscar L Rillo; Mariana Salcedo; Javier E Rosa; F Ceballos; Enrique R Soriano; Gustavo Citera
Journal:  Clin Rheumatol       Date:  2012-04-04       Impact factor: 2.980

7.  Baseline traits of low vision patients served by private outpatient clinical centers in the United States.

Authors:  Judith E Goldstein; Robert W Massof; James T Deremeik; Sonya Braudway; Mary Lou Jackson; K Bradley Kehler; Susan A Primo; Janet S Sunness
Journal:  Arch Ophthalmol       Date:  2012-08

8.  Comparison of clinician-predicted to measured low vision outcomes.

Authors:  Tiffany L Chan; Judith E Goldstein; Robert W Massof
Journal:  Optom Vis Sci       Date:  2013-08       Impact factor: 1.973

9.  Predictors of physical therapy clinic performance in the treatment of patients with low back pain syndromes.

Authors:  Linda Resnik; Dawei Liu; Vince Mor; Dennis L Hart
Journal:  Phys Ther       Date:  2008-08-08

10.  Beyond black and white: race/ethnicity and health status among older adults.

Authors:  Judy H Ng; Arlene S Bierman; Marc N Elliott; Rachel L Wilson; Chengfei Xia; Sarah Hudson Scholle
Journal:  Am J Manag Care       Date:  2014-03       Impact factor: 2.229

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