Literature DB >> 21644970

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

Donna O Farley1, Marc N Elliott, Amelia M Haviland, Mary Ellen Slaughter, Amy Heller.   

Abstract

OBJECTIVE: To understand reasons why California has lower Consumer Assessment of Healthcare Providers and Systems (CAHPS) scores than the rest of the country, including differing patterns of CAHPS scores between Medicare Advantage (MA) and fee-for-service, effects of additional demographic characteristics of beneficiaries, and variation across MA plans within California. STUDY DESIGN/DATA COLLECTION: Using 2008 CAHPS survey data for fee-for-service Medicare beneficiaries and MA members, we compared mean case mix adjusted Medicare CAHPS scores for California and the remainder of the nation. PRINCIPAL
FINDINGS: California fee-for-service Medicare had lower scores than non-California fee-for-service on 11 of 14 CAHPS measures; California MA had lower scores only for physician services measures and higher scores for other measures. Adding race/ethnicity and urbanity to risk adjustment improved California standing for all measures in both MA and fee-for-service. Within the MA plans, one large plan accounted for the positive performance in California MA; other California plans performed below national averages.
CONCLUSIONS: This study shows that the mix of fee-for-service and MA enrollees, demographic characteristics of populations, and plan-specific factors can all play a role in observed regional variations. Anticipating value-based payments, further study of successful MA plans could generate lessons for enhancing patient experience for the Medicare population. © Health Research and Educational Trust.

Entities:  

Mesh:

Year:  2011        PMID: 21644970      PMCID: PMC3207197          DOI: 10.1111/j.1475-6773.2011.01279.x

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


  27 in total

1.  Medicare contracting risk/Medicare risk contracting: a life-cycle view from twelve markets.

Authors:  Robert E Hurley; Joy M Grossman; Bradley C Strunk
Journal:  Health Serv Res       Date:  2003-02       Impact factor: 3.402

2.  Medicare spending, the physician workforce, and beneficiaries' quality of care.

Authors:  Katherine Baicker; Amitabh Chandra
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Jun       Impact factor: 6.301

3.  The impact of health plan delivery system organization on clinical quality and patient satisfaction.

Authors:  Robin R Gillies; Kate Eresian Chenok; Stephen M Shortell; Gregory Pawlson; Julian J Wimbush
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402

4.  The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

5.  Impact of HMO ownership on management processes and utilization outcomes.

Authors:  M Ahern; C Molinari
Journal:  Am J Manag Care       Date:  2001-05       Impact factor: 2.229

6.  Differences in U.S. hospital service utilization between traditional Medicare and Medicare HMO patients.

Authors:  Lee Revere; Alan Sear
Journal:  J Health Hum Serv Adm       Date:  2004

7.  Health plan effects on patient assessments of Medicaid managed care among racial/ethnic minorities.

Authors:  Robert Weech-Maldonado; Marc N Elliott; Leo S Morales; Karen Spritzer; Grant N Marshall; Ron D Hays
Journal:  J Gen Intern Med       Date:  2004-02       Impact factor: 5.128

8.  Variation in racial and ethnic differences in consumer assessments of health care.

Authors:  Nicole Lurie; Chunliu Zhan; Judith Sangl; Arlene S Bierman; Edward S Sekscenski
Journal:  Am J Manag Care       Date:  2003-07       Impact factor: 3.247

9.  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

10.  Psychometric properties of an instrument to assess Medicare beneficiaries' prescription drug plan experiences.

Authors:  Steven C Martino; Marc N Elliott; Paul D Cleary; David E Kanouse; Julie A Brown; Karen L Spritzer; Amy Heller; Ron D Hays
Journal:  Health Care Financ Rev       Date:  2009
View more
  8 in total

1.  Religiosity, Social Support and Care Associated with Health in Older Mexicans with Diabetes.

Authors:  Maricruz Rivera-Hernandez
Journal:  J Relig Health       Date:  2016-08

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

Authors:  Laura A Hatfield; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2016-08-08       Impact factor: 3.402

3.  Variation in Family Experience of Pediatric Inpatient Care As Measured by Child HCAHPS.

Authors:  Sara L Toomey; Marc N Elliott; Alan M Zaslavsky; David J Klein; Sifon Ndon; Shannon Hardy; Melody Wu; Mark A Schuster
Journal:  Pediatrics       Date:  2017-03-22       Impact factor: 7.124

4.  Racial/ethnic disparities in Medicare Part D experiences.

Authors:  Amelia M Haviland; Marc N Elliott; Robert Weech-Maldonado; Katrin Hambarsoomian; Nate Orr; Ron D Hays
Journal:  Med Care       Date:  2012-11       Impact factor: 2.983

5.  Comparing the Health Care Experiences of Medicare Beneficiaries with and without Depressive Symptoms in Medicare Managed Care versus Fee-for-Service.

Authors:  Steven C Martino; Marc N Elliott; Amelia M Haviland; Debra Saliba; Q Burkhart; David E Kanouse
Journal:  Health Serv Res       Date:  2015-09-14       Impact factor: 3.402

6.  Unveiling SEER-CAHPS®: a new data resource for quality of care research.

Authors:  Neetu Chawla; Matthew Urato; Anita Ambs; Nicola Schussler; Ron D Hays; Steven B Clauser; Alan M Zaslavsky; Kayo Walsh; Margot Schwartz; Michael Halpern; Sarah Gaillot; Elizabeth H Goldstein; Neeraj K Arora
Journal:  J Gen Intern Med       Date:  2015-01-14       Impact factor: 6.473

7.  What explains worse patient experience in London? Evidence from secondary analysis of the Cancer Patient Experience Survey.

Authors:  Catherine L Saunders; Gary A Abel; Georgios Lyratzopoulos
Journal:  BMJ Open       Date:  2014-01-03       Impact factor: 2.692

8.  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

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.