Literature DB >> 10981191

Does the effect of respondent characteristics on consumer assessments vary across health plans?

A M Zaslavsky1, L Zaborski, P D Cleary.   

Abstract

Responses to the Consumer Assessments of Health Plans Survey (CAHPS) are related to respondent characteristics. CAHPS procedures include casemix adjustment to remove effects of difference in respondent characteristics on comparative plan ratings, under the assumption that casemix coefficients are homogeneous across plans. The authors analyzed data from the Washington state CAHPS demonstration, fitting hierarchical models in which coefficients of casemix variables and intercepts could vary by plan. They estimated the impact of variability in casemix coefficients on plan adjustments and also assessed the implications for differential effects of individual characteristics at different plans. Estimated between-plan variability of coefficients was small, but the data are consistent with substantially larger variability. The potential impact of this variability on adjustments for plans was small relative to the magnitude of the adjustments. Comparisons between plans for individuals, however, could be affected substantially. This methodology could be useful wherever casemix adjustment is applied.

Mesh:

Year:  2000        PMID: 10981191     DOI: 10.1177/107755870005700307

Source DB:  PubMed          Journal:  Med Care Res Rev        ISSN: 1077-5587            Impact factor:   3.929


  21 in total

1.  Do commercial managed care members rate their health plans differently than Medicaid managed care members?

Authors:  Patrick J Roohan; Scott J Franko; Joseph P Anarella; Laura K Dellehunt; Foster C Gesten
Journal:  Health Serv Res       Date:  2003-08       Impact factor: 3.402

2.  Older persons' evaluations of health care: the effects of medical skepticism and worry about health.

Authors:  Tyrone F Borders; James E Rohrer; K Tom Xu; David R Smith
Journal:  Health Serv Res       Date:  2004-02       Impact factor: 3.402

3.  Market variations in intensity of Medicare service use and beneficiary experiences with care.

Authors:  Jessica N Mittler; Bruce E Landon; Elliot S Fisher; Paul D Cleary; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2010-04-06       Impact factor: 3.402

4.  Using global ratings of health plans to improve the quality of health care.

Authors:  Jacob Glazer; Thomas G McGuire; Zhun Cao; Alan Zaslavsky
Journal:  J Health Econ       Date:  2008-05-14       Impact factor: 3.883

5.  How do proxy responses and proxy-assisted responses differ from what Medicare beneficiaries might have reported about their health care?

Authors:  Marc N Elliott; Megan K Beckett; Kelly Chong; Katrin Hambarsoomians; Ron D Hays
Journal:  Health Serv Res       Date:  2008-06       Impact factor: 3.402

6.  How do the experiences of Medicare beneficiary subgroups differ between managed care and original Medicare?

Authors:  Marc N Elliott; Amelia M Haviland; Nate Orr; Katrin Hambarsoomian; Paul D Cleary
Journal:  Health Serv Res       Date:  2011-02-09       Impact factor: 3.402

7.  The association between care experiences and parent ratings of care for different racial, ethnic, and language groups in a Medicaid population.

Authors:  Victoria Wilkins; Marc N Elliott; Andrea Richardson; Paula Lozano; Rita Mangione-Smith
Journal:  Health Serv Res       Date:  2011-01-28       Impact factor: 3.402

8.  The influence of patient characteristics on ratings of managed behavioral health care.

Authors:  Matthew J Carlson; James A Shaul; Susan V Eisen; Paul D Cleary
Journal:  J Behav Health Serv Res       Date:  2002-11       Impact factor: 1.505

9.  Are older patients more satisfied with hospital care than younger patients?

Authors:  C Komal Jaipaul; Gary E Rosenthal
Journal:  J Gen Intern Med       Date:  2003-01       Impact factor: 5.128

10.  The effect of performance-based financial incentives on improving patient care experiences: a statewide evaluation.

Authors:  Hector P Rodriguez; Ted von Glahn; Marc N Elliott; William H Rogers; Dana Gelb Safran
Journal:  J Gen Intern Med       Date:  2009-10-14       Impact factor: 5.128

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