Literature DB >> 26368572

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

Steven C Martino1, Marc N Elliott2, Amelia M Haviland3, Debra Saliba4, Q Burkhart2, David E Kanouse2.   

Abstract

OBJECTIVE: To compare patient experiences and disparities for older adults with depressive symptoms in managed care (Medicare Advantage [MA]) versus Medicare Fee-for-Service (FFS). DATA SOURCES: Data came from the 2010 Medicare CAHPS survey, to which 220,040 MA and 135,874 FFS enrollees aged 65 and older responded. STUDY
DESIGN: Multivariate linear regression was used to test whether case-mix-adjusted associations between depressive symptoms and patient experience differed for beneficiaries in MA versus FFS. Dependent measures included four measures of beneficiaries' experiences with doctors (e.g., reports of doctor communication) and seven measures of beneficiaries' experiences with plans (e.g., customer service). PRINCIPAL
FINDINGS: Beneficiaries with depressive symptoms reported worse experiences than those without depressive symptoms regardless of coverage type. For measures assessing interactions with the plan (but not for measures assessing interactions with doctors), the disadvantage for beneficiaries with versus without depressive symptoms was larger in MA than in FFS.
CONCLUSIONS: Disparities in care experienced by older Medicare beneficiaries with depressive symptoms tend to be more negative in managed care than in FFS. Efforts are needed to identify and address the barriers these beneficiaries encounter to help them better traverse the managed care environment. © Health Research and Educational Trust.

Entities:  

Keywords:  CAHPS; depressive symptoms; managed care; organization of care; patient experience; quality of care

Mesh:

Year:  2015        PMID: 26368572      PMCID: PMC4874814          DOI: 10.1111/1475-6773.12359

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


  45 in total

1.  Psychometric properties of the CAHPS 1.0 survey measures. Consumer Assessment of Health Plans Study.

Authors:  R D Hays; J A Shaul; V S Williams; J S Lubalin; L D Harris-Kojetin; S F Sweeny; P D Cleary
Journal:  Med Care       Date:  1999-03       Impact factor: 2.983

2.  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

3.  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

4.  Comparing quality of care in the Medicare program.

Authors:  Niall Brennan; Mark Shepard
Journal:  Am J Manag Care       Date:  2010-11       Impact factor: 2.229

5.  Major and minor depression in later life: a study of prevalence and risk factors.

Authors:  A T Beekman; D J Deeg; T van Tilburg; J H Smit; C Hooijer; W van Tilburg
Journal:  J Affect Disord       Date:  1995-12-24       Impact factor: 4.839

6.  Navigating poorly charted territory: patient dilemmas in health care "nonsystems".

Authors:  Shoshanna Sofaer
Journal:  Med Care Res Rev       Date:  2008-12-12       Impact factor: 3.929

7.  Optimizing detection of major depression among patients with coronary artery disease using the patient health questionnaire: data from the heart and soul study.

Authors:  Brett D Thombs; Roy C Ziegelstein; Mary A Whooley
Journal:  J Gen Intern Med       Date:  2008-09-25       Impact factor: 5.128

8.  The influence of depressive symptoms on clinician-patient communication among patients with type 2 diabetes.

Authors:  Sara L Swenson; Monica Rose; Eric Vittinghoff; Anita Stewart; Dean Schillinger
Journal:  Med Care       Date:  2008-03       Impact factor: 2.983

9.  Validity of the Patient Health Questionnaire 2 (PHQ-2) in identifying major depression in older people.

Authors:  Chunyu Li; Bruce Friedman; Yeates Conwell; Kevin Fiscella
Journal:  J Am Geriatr Soc       Date:  2007-04       Impact factor: 5.562

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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  5 in total

1.  The Role of Primary Care Experiences in Obtaining Treatment for Depression.

Authors:  Audrey L Jones; Maria K Mor; Gretchen L Haas; Adam J Gordon; John P Cashy; James H Schaefer; Leslie R M Hausmann
Journal:  J Gen Intern Med       Date:  2018-06-08       Impact factor: 5.128

2.  Racial/Ethnic Differences in Primary Care Experiences in Patient-Centered Medical Homes among Veterans with Mental Health and Substance Use Disorders.

Authors:  Audrey L Jones; Maria K Mor; John P Cashy; Adam J Gordon; Gretchen L Haas; James H Schaefer; Leslie R M Hausmann
Journal:  J Gen Intern Med       Date:  2016-06-20       Impact factor: 5.128

3.  A national evaluation of homeless and nonhomeless veterans' experiences with primary care.

Authors:  Audrey L Jones; Leslie R M Hausmann; Gretchen L Haas; Maria K Mor; John P Cashy; James H Schaefer; Adam J Gordon
Journal:  Psychol Serv       Date:  2017-05

4.  Differences in Management of Coronary Artery Disease in Patients With Medicare Advantage vs Traditional Fee-for-Service Medicare Among Cardiology Practices.

Authors:  Jose F Figueroa; Daniel M Blumenthal; Yevgeniy Feyman; Austin B Frakt; Alexander Turchin; Gheorghe Doros; Qi Gao; Yang Song; Karen E Joynt Maddox
Journal:  JAMA Cardiol       Date:  2019-03-01       Impact factor: 14.676

5.  Physical functioning, frailty and risks of locally-advanced breast cancer among older women.

Authors:  Chandler Coleman; Connie H Yan; Naomi Y Ko; Nadia A Nabulsi; Kent F Hoskins; Brian C-H Chiu; Gregory S Calip
Journal:  Breast       Date:  2022-04-14       Impact factor: 4.254

  5 in total

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