Literature DB >> 25401043

Beneficiary activation in the Medicare population.

Jessie L Parker1, Joseph F Regan1, Jason Petroski1.   

Abstract

OBJECTIVE: Patient activation questions from a major national Medicare survey are used to highlight characteristics of Medicare beneficiaries with low activation. We demonstrate that Medicare Current Beneficiary Survey (MCBS) data is an untapped resource for further research on patient activation within Medicare beneficiaries and programs. DATA SOURCE: Data are from the 2012 MCBS Access to Care file and include 10,650 beneficiaries.
METHODS: Patient Activation levels were derived by taking the weighted average responses to the Patient Activation Supplement. Cut points for high, moderate, and low activation were assigned at +/- ½ standard deviation of the mean. Data were analyzed using SAS survey procedures. Within group comparisons were tested using chi-square tests with post hoc pairwise comparisons. Logistic regression identified predictors of low patient engagement.
RESULTS: In a multiple logistic regression, beneficiary characteristics associated with low activation included Hispanic origin, being widowed or never married, select age groups, male gender, fair or poor health, difficulty with an IADL or ADLs, and having no usual source of care, with failure to complete high school as the strongest predictor (OR=2.22, p<.001). Utilization and costs were also examined in descriptive analyses. DISCUSSION: Overall, findings on the characteristics of low activation patients in the Medicare population resemble previous research. In a regression analysis, less education and no usual source of care are the strongest predictors of low activation levels in Medicare beneficiaries. The MCBS Patient Activation Supplement is a rich resource for examining patient activation in the Medicare population, and can be used for a wide range of analyses.

Entities:  

Keywords:  Medicare; access; aging; demand; elderly; geriatrics; health care costs; utilization of services

Mesh:

Year:  2014        PMID: 25401043      PMCID: PMC4230568          DOI: 10.5600/mmrr.004.04.b02

Source DB:  PubMed          Journal:  Medicare Medicaid Res Rev        ISSN: 2159-0354


  22 in total

1.  Improving chronic illness care: translating evidence into action.

Authors:  E H Wagner; B T Austin; C Davis; M Hindmarsh; J Schaefer; A Bonomi
Journal:  Health Aff (Millwood)       Date:  2001 Nov-Dec       Impact factor: 6.301

2.  Raising low 'patient activation' rates among Hispanic immigrants may equal expanded coverage in reducing access disparities.

Authors:  Peter J Cunningham; Judith Hibbard; Claire B Gibbons
Journal:  Health Aff (Millwood)       Date:  2011-10       Impact factor: 6.301

3.  Patient activation in primary healthcare: a comparison between healthier individuals and those with a chronic illness.

Authors:  Sabrina T Wong; Sandra Peterson; Charlyn Black
Journal:  Med Care       Date:  2011-05       Impact factor: 2.983

4.  Psychometric properties of the patient activation measure among multimorbid older adults.

Authors:  Richard L Skolasky; Ariel Frank Green; Daniel Scharfstein; Chad Boult; Lisa Reider; Stephen T Wegener
Journal:  Health Serv Res       Date:  2010-11-19       Impact factor: 3.402

5.  Racial/ethnic disparities and consumer activation in health.

Authors:  Judith H Hibbard; Jessica Greene; Edmund R Becker; Douglas Roblin; Michael W Painter; Debra J Perez; Edith Burbank-Schmitt; Martin Tusler
Journal:  Health Aff (Millwood)       Date:  2008 Sep-Oct       Impact factor: 6.301

6.  The triple aim: care, health, and cost.

Authors:  Donald M Berwick; Thomas W Nolan; John Whittington
Journal:  Health Aff (Millwood)       Date:  2008 May-Jun       Impact factor: 6.301

7.  Toward a theory of patient and consumer activation.

Authors:  Judith H Hibbard; Eldon Mahoney
Journal:  Patient Educ Couns       Date:  2010-02-25

8.  Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers.

Authors:  Judith H Hibbard; Jean Stockard; Eldon R Mahoney; Martin Tusler
Journal:  Health Serv Res       Date:  2004-08       Impact factor: 3.402

9.  How engaged are consumers in their health and health care, and why does it matter?

Authors:  Judith H Hibbard; Peter J Cunningham
Journal:  Res Brief       Date:  2008-10

10.  Do increases in patient activation result in improved self-management behaviors?

Authors:  Judith H Hibbard; Eldon R Mahoney; Ronald Stock; Martin Tusler
Journal:  Health Serv Res       Date:  2007-08       Impact factor: 3.402

View more
  5 in total

1.  Transformation of the Health Care Industry: Curb Your Enthusiasm?

Authors:  Lawton R Burns; Mark V Pauly
Journal:  Milbank Q       Date:  2018-03       Impact factor: 4.911

2.  Functional Impairments Associated With Patient Activation Among Community-Dwelling Older Adults.

Authors:  Ling Na; Pui L Kwong; Dawei Xie; Liliana E Pezzin; Jibby E Kurichi; Joel E Streim
Journal:  Am J Phys Med Rehabil       Date:  2018-11       Impact factor: 2.159

Review 3.  Spotlight on the Patient Health Engagement model (PHE model): a psychosocial theory to understand people's meaningful engagement in their own health care.

Authors:  Guendalina Graffigna; Serena Barello
Journal:  Patient Prefer Adherence       Date:  2018-07-19       Impact factor: 2.711

4.  Obesity and Patient Activation: Confidence, Communication, and Information Seeking Behavior.

Authors:  Ji Eun Chang; Zoe Lindenfeld; Virginia W Chang
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec

5.  Differences in patient perceptions of integrated care among black, hispanic, and white Medicare beneficiaries.

Authors:  Emilia J Ling; Molly Frean; Jody So; Maike Tietschert; Nancy Song; Christian Covington; Hassina Bahadurazada; Sonia Khurana; Luis Garcia; Sara J Singer
Journal:  Health Serv Res       Date:  2021-02-11       Impact factor: 3.734

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.