Literature DB >> 17515779

Health beliefs, disease severity, and patient adherence: a meta-analysis.

M Robin DiMatteo1, Kelly B Haskard, Summer L Williams.   

Abstract

BACKGROUND: A large body of empirical data exists on the prediction of patient adherence from subjective and objective assessments of health status and disease severity. This work can be summarized with meta-analysis.
OBJECTIVES: Retrieval and summary analysis of r effect sizes and moderators of the relationship between patient adherence and patients': (1) beliefs in disease threat; (2) rated health status (by physician, self, or parent); and (3) objective disease severity.
METHODS: Comprehensive search of published literature (1948-2005) yielding 116 articles, with 143 separate effect sizes. Calculation of robust, generalizable random effects model statistics, and detailed examination of study diversity with moderator analyses.
RESULTS: Adherence is significantly positively correlated with patients' beliefs in the severity of the disease to be prevented or treated ("disease threat"). Better patient adherence is associated with objectively poorer health only for patients experiencing disease conditions lower in seriousness (according to the Seriousness of Illness Rating Scale). Among conditions higher in seriousness, worse adherence is associated with objectively poorer health. Similar patterns exist when health status is rated by patients themselves, and by parents in pediatric samples.
CONCLUSIONS: Results suggest that the objective severity of patients' disease conditions, and their awareness of this severity, can predict their adherence. Patients who are most severely ill with serious diseases may be at greatest risk for nonadherence to treatment. Findings can contribute to greater provider awareness of the potential for patient nonadherence, and to better targeting of health messages and treatment advice by providers.

Entities:  

Mesh:

Year:  2007        PMID: 17515779     DOI: 10.1097/MLR.0b013e318032937e

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  136 in total

1.  Adherence to osteoporosis drugs and fracture prevention: no evidence of healthy adherer bias in a frail cohort of seniors.

Authors:  S M Cadarette; D H Solomon; J N Katz; A R Patrick; M A Brookhart
Journal:  Osteoporos Int       Date:  2010-06-08       Impact factor: 4.507

2.  One and two-year persistence with different anti-osteoporosis medications: a retrospective cohort study.

Authors:  C Reyes; C Tebe; D Martinez-Laguna; M S Ali; A Soria-Castro; C Carbonell; D Prieto-Alhambra
Journal:  Osteoporos Int       Date:  2017-07-16       Impact factor: 4.507

3.  Adherence to the medical regimen during the first two years after lung transplantation.

Authors:  Mary Amanda Dew; Andrea F Dimartini; Annette De Vito Dabbs; Rachelle Zomak; Sabina De Geest; Fabienne Dobbels; Larissa Myaskovsky; Galen E Switzer; Mark Unruh; Jennifer L Steel; Robert L Kormos; Kenneth R McCurry
Journal:  Transplantation       Date:  2008-01-27       Impact factor: 4.939

4.  Does medication adherence following a copayment increase differ by disease burden?

Authors:  Virginia Wang; Chuan-Fen Liu; Christopher L Bryson; Nancy D Sharp; Matthew L Maciejewski
Journal:  Health Serv Res       Date:  2011-06-20       Impact factor: 3.402

5.  Theory of planned behavior and adherence in chronic illness: a meta-analysis.

Authors:  Antonia Rich; Kim Brandes; Barbara Mullan; Martin S Hagger
Journal:  J Behav Med       Date:  2015-05-21

6.  Value-Based Benefit Design to Improve Medication Adherence for Employees with Anxiety or Depression.

Authors:  Kimberly J Reid; Kathleen M Aguilar; Eric Thompson; Ross M Miller
Journal:  Am Health Drug Benefits       Date:  2015 Jul-Aug

7.  Patient Perceptions of Deprescribing: Survey Development and Psychometric Assessment.

Authors:  Amy Linsky; Steven R Simon; Kelly Stolzmann; Mark Meterko
Journal:  Med Care       Date:  2017-03       Impact factor: 2.983

8.  Individual patients hold different beliefs to prescription medications to which they persist vs nonpersist and persist vs nonfulfill.

Authors:  Colleen A McHorney; Abhijit S Gadkari
Journal:  Patient Prefer Adherence       Date:  2010-07-21       Impact factor: 2.711

9.  Adherence in Internet-based interventions.

Authors:  Silje C Wangberg; Trine S Bergmo; Jan-Are K Johnsen
Journal:  Patient Prefer Adherence       Date:  2008-02-02       Impact factor: 2.711

Review 10.  Medication adherence issues in patients treated for COPD.

Authors:  Ruben D Restrepo; Melissa T Alvarez; Leonard D Wittnebel; Helen Sorenson; Richard Wettstein; David L Vines; Jennifer Sikkema-Ortiz; Donna D Gardner; Robert L Wilkins
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2008
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