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Cited by 482Medication Adherence and CompliancePatient-Provider Communication in HealthcareMedia Influence and Health

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Health Beliefs, Disease Severity, and Patient Adherence: A Meta-Analysis

DiMatteo, M Robin, Haskard, Kelly B., Williams, Summer L.·2007·Medical Care
DOI 10.1097/mlr.0b013e318032937e
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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.

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Crossref · 10.1097/mlr.0b013e318032937e

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Research works printed but not linked: 1

  1. Rosenthal, 2002, Steven’s Handbook of Experimental Psychology. Vol. 4: Methodology. 3rd ed., 391

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Metadata

Authors
DiMatteo, M. R., Haskard, K. B., & Williams, S. L.
Affiliations
University of California, Riverside (US)
ORCID
Williams, Summer L.
Venue
Medical Care
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2007-06
Volume
45
Issue
6
Pages
521-528
ISSN
0025-7079 (ISSN-L)
DOI
10.1097/mlr.0b013e318032937e
OpenAlex
W2038481253
Cited by
482
References
52
Citations by year
2026: 7 · 2025: 19 · 2024: 15 · 2023: 13 · 2022: 15 · 2021: 26 · 2020: 30 · 2019: 26 · 2018: 20 · 2017: 38 · 2016: 43 · 2015: 43 · 2014: 35 · 2013: 42 · 2012: 37
FWCI
2.07
Type
journal article
Language
en
Open access
closed
Locations
  • Medical Care (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging (5R03AG27552-02, R03AG027552)
Topics
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
  • Social Sciences › Communication › Media Influence and Health
Keywords
medication adherence, treatment non-adherence, health beliefs, disease threat, perceived illness severity, health status, self-rated health, pediatric patients, predictors of adherence
MeSH terms
Attitude to Health, Health Status, Humans, Patient Compliance, Physician-Patient Relations, Severity of Illness Index

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