Literature DB >> 27500888

Implications of Variation in the Relationships between Beneficiary Characteristics and Medicare Advantage CAHPS Measures.

Laura A Hatfield1, Alan M Zaslavsky1.   

Abstract

OBJECTIVE: To study how differences in quality score adjustments across Medicare Advantage contracts change comparisons for individuals and contracts. DATA SOURCES: Responses to the Medicare Advantage implementation of the Consumer Assessments of Healthcare Providers and Systems (CAHPS) survey from 2010 to 2014. STUDY
DESIGN: We fit national-and state-level hierarchical models to predict CAHPS scores for individuals and contracts, adjusted for self-reported education, general health, and mental health. We allow the effects of these variables on quality measures to vary across contracts with a hierarchical model. DATA COLLECTION/EXTRACTION
METHODS: We perform secondary data analysis. PRINCIPAL
FINDINGS: For average consumers, standard adjustment is sufficient to represent variation in contract quality standardized to a common population. For people with characteristics far from average, personalized reporting using their characteristics and contract-specific coefficients can substantially change the expected quality measures across contracts. This effect is stronger when comparing among contracts within a state than across all contracts.
CONCLUSIONS: Customized reporting may help consumers select the best Medicare Advantage plan, but policies should protect against unintended consequences. © Health Research and Educational Trust.

Entities:  

Keywords:  Case mix adjustment; Medicare Advantage; personalized reporting; quality measurement

Mesh:

Year:  2016        PMID: 27500888      PMCID: PMC5517680          DOI: 10.1111/1475-6773.12544

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  29 in total

1.  Case-mix adjustment of the National CAHPS benchmarking data 1.0: a violation of model assumptions?

Authors:  M N Elliott; R Swartz; J Adams; K L Spritzer; R D Hays
Journal:  Health Serv Res       Date:  2001-07       Impact factor: 3.402

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

Authors:  A M Zaslavsky; L Zaborski; P D Cleary
Journal:  Med Care Res Rev       Date:  2000-09       Impact factor: 3.929

3.  Using multilevel modeling to assess case-mix adjusters in consumer experience surveys in health care.

Authors:  Olga C Damman; Janine H Stubbe; Michelle Hendriks; Onyebuchi A Arah; Peter Spreeuwenberg; Diana M J Delnoij; Peter P Groenewegen
Journal:  Med Care       Date:  2009-04       Impact factor: 2.983

4.  Understanding nonresponse to the 2007 Medicare CAHPS survey.

Authors:  David J Klein; Marc N Elliott; Amelia M Haviland; Debra Saliba; Q Burkhart; Carol Edwards; Alan M Zaslavsky
Journal:  Gerontologist       Date:  2011-06-23

5.  Understanding variations in Medicare Consumer Assessment of Health Care Providers and Systems scores: California as an example.

Authors:  Donna O Farley; Marc N Elliott; Amelia M Haviland; Mary Ellen Slaughter; Amy Heller
Journal:  Health Serv Res       Date:  2011-06-03       Impact factor: 3.402

Review 6.  Patient perceptions of the quality of health services.

Authors:  Shoshanna Sofaer; Kirsten Firminger
Journal:  Annu Rev Public Health       Date:  2005       Impact factor: 21.981

7.  Complex Medicare advantage choices may overwhelm seniors--especially those with impaired decision making.

Authors:  J Michael McWilliams; Christopher C Afendulis; Thomas G McGuire; Bruce E Landon
Journal:  Health Aff (Millwood)       Date:  2011-08-18       Impact factor: 6.301

8.  Do hospitals rank differently on HCAHPS for different patient subgroups?

Authors:  Marc N Elliott; William G Lehrman; Elizabeth Goldstein; Katrin Hambarsoomian; Megan K Beckett; Laura A Giordano
Journal:  Med Care Res Rev       Date:  2009-07-15       Impact factor: 3.929

9.  Understanding ethnic and other socio-demographic differences in patient experience of primary care: evidence from the English General Practice Patient Survey.

Authors:  G Lyratzopoulos; M Elliott; J M Barbiere; A Henderson; L Staetsky; C Paddison; J Campbell; M Roland
Journal:  BMJ Qual Saf       Date:  2011-09-07       Impact factor: 7.035

10.  Medicare Managed Care CAHPS®: A Tool for Performance Improvement.

Authors:  Elizabeth Goldstein; Paul D Cleary; Kathryn M Langwell; Alan M Zaslavsky; Amy Heller
Journal:  Health Care Financ Rev       Date:  2001
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  4 in total

1.  Comparison of Outpatient Satisfaction Survey Scores for Asian Physicians and Non-Hispanic White Physicians.

Authors:  Luis C Garcia; Sukyung Chung; Lily Liao; Jonathan Altamirano; Magali Fassiotto; Bonnie Maldonado; Paul Heidenreich; Latha Palaniappan
Journal:  JAMA Netw Open       Date:  2019-02-01

2.  Assessing the outcomes and experiences of care from the perspective of people living with chronic conditions, to support countries in developing people-centred policies and practices: study protocol of the International Survey of People Living with Chronic Conditions (PaRIS survey).

Authors:  Dolf de Boer; Michael van den Berg; Marta Ballester; Janika Bloemeke; Wienke Boerma; Katherine de Bienassis; Peter Groenewegen; Oliver Groene; Candan Kendir; Niek Klazinga; Ian Porter; Rosa Sunol; Laura Thomas; Jose Maria Valderas; Rachel Williams; Mieke Rijken
Journal:  BMJ Open       Date:  2022-09-19       Impact factor: 3.006

3.  Older adults rate their mental health better than their general health.

Authors:  Elena M Magwene; Ana R Quiñones; Gillian L Marshall; Lena K Makaroun; Stephen Thielke
Journal:  J Public Health Res       Date:  2017-09-29

4.  The association between Asian patient race/ethnicity and lower satisfaction scores.

Authors:  Lillian Liao; Sukyung Chung; Jonathan Altamirano; Luis Garcia; Magali Fassiotto; Bonnie Maldonado; Paul Heidenreich; Latha Palaniappan
Journal:  BMC Health Serv Res       Date:  2020-07-22       Impact factor: 2.655

  4 in total

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