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Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis
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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944346/ https://www.ncbi.nlm.nih.gov/pubmed/20836888 http://dx.doi.org/10.1186/1477-7525-8-99 |
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author | Shi, Lizheng Liu, Jinan Fonseca, Vivian Walker, Philip Kalsekar, Anupama Pawaskar, Manjiri |
author_facet | Shi, Lizheng Liu, Jinan Fonseca, Vivian Walker, Philip Kalsekar, Anupama Pawaskar, Manjiri |
author_sort | Shi, Lizheng |
collection | PubMed |
description | 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 (r(p)) or Spearman (r(s))] 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 r(p )and four studies reporting r(s )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. |
format | Text |
id | pubmed-2944346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29443462010-09-24 Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis Shi, Lizheng Liu, Jinan Fonseca, Vivian Walker, Philip Kalsekar, Anupama Pawaskar, Manjiri Health Qual Life Outcomes Research 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 (r(p)) or Spearman (r(s))] 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 r(p )and four studies reporting r(s )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. BioMed Central 2010-09-13 /pmc/articles/PMC2944346/ /pubmed/20836888 http://dx.doi.org/10.1186/1477-7525-8-99 Text en Copyright ©2010 Shi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Shi, Lizheng Liu, Jinan Fonseca, Vivian Walker, Philip Kalsekar, Anupama Pawaskar, Manjiri Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis |
title | Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis |
title_full | Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis |
title_fullStr | Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis |
title_full_unstemmed | Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis |
title_short | Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis |
title_sort | correlation between adherence rates measured by mems and self-reported questionnaires: a meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944346/ https://www.ncbi.nlm.nih.gov/pubmed/20836888 http://dx.doi.org/10.1186/1477-7525-8-99 |
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