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Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis
Open accessAbstract
PURPOSE: It is vital to understand the associations between the medication event monitoring systems (MEMS) and self-reported questionnaires (SRQs) because both are often used to measure medication adherence and can produce different results. In addition, the economic implication of using alternative measures is important as the cost of electronic monitoring devices is not covered by insurance, while self-reports are the most practical and cost-effective method in the clinical settings. This meta-analysis examined the correlations of two measurements of medication adherence: MEMS and SRQs. METHODS: The literature search (1980-2009) used PubMed, OVID MEDLINE, PsycINFO (EBSCO), CINAHL (EBSCO), OVID HealthStar, EMBASE (Elsevier), and Cochrane Databases. Studies were included if the correlation coefficients [Pearson (rp) or Spearman (rs)] between adherences measured by both MEMS and SRQs were available or could be calculated from other statistics in the articles. Data were independently abstracted in duplicate with standardized protocol and abstraction form including 1) first author's name; 2) year of publication; 3) disease status of participants; 4) sample size; 5) mean age (year); 6) duration of trials (month); 7) SRQ names if available; 8) adherence (%) measured by MEMS; 9) adherence (%) measured by SRQ; 10) correlation coefficient and relative information, including p-value, 95% confidence interval (CI). A meta-analysis was conducted to pool the correlation coefficients using random-effect model. RESULTS: Eleven studies (N = 1,684 patients) met the inclusion criteria. The mean of adherence measured by MEMS was 74.9% (range 53.4%-92.9%), versus 84.0% by SRQ (range 68.35%-95%). The correlation between adherence measured by MEMS and SRQs ranged from 0.24 to 0.87. The pooled correlation coefficient for 11 studies was 0.45 (p = 0.001, 95% confidence interval [95% CI]: 0.34-0.56). The subgroup meta-analysis on the seven studies reporting rp and four studies reporting rs reported the pooled correlation coefficient: 0.46 (p = 0.011, 95% CI: 0.33-0.59) and 0.43 (p = 0.0038, 95% CI: 0.23-0.64), respectively. No differences were found for other subgroup analyses. CONCLUSION: Medication adherence measured by MEMS and SRQs tends to be at least moderately correlated, suggesting that SRQs give a good estimate of medication adherence.
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“MEMS results have been compared to patients’ and clinicians’ reports with weak to moderate correlation[28–30].”
From Adherence is associated with a favorable outcome after lung transplantation (2019) · cites this paper as [28]
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Metadata
- Authors
- Shi, L., Liu, J., Fonseca, V., Walker, P., Kalsekar, A., & Pawaskar, M.
- Affiliations
- Tulane University (US)
- Eli Lilly (United States) (US)
- Corresponding author
- Shi, Lizheng
- Venue
- Health and Quality of Life Outcomes
- Published
- 2010
- Volume
- 8
- Issue
- 1
- Pages
- 99
- ISSN
- 1477-7525 (ISSN-L)
- PMC
- PMC2944346
- OpenAlex
- W2159285055
- Cited by
- 177
- References
- 42
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 6 · 2022: 12 · 2021: 8 · 2020: 10 · 2019: 23 · 2018: 19 · 2017: 10 · 2016: 12 · 2015: 8 · 2014: 22 · 2013: 15 · 2012: 11
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Health and Quality of Life Outcomes (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Health Professions › Pharmacy › Pharmacy and Medical Practices
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- medication adherence, medication event monitoring system, self-report questionnaire, electronic medication monitoring
- MeSH terms
- Assessment of Medication Adherence, Cost-Benefit Analysis, Humans, Psychometrics, Surveys and Questionnaires, Drug Monitoring, Medication Adherence, Self Report
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