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Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis
OBJECTIVES: This systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population. METHODS: A systematic review was conducted according to the Preferred Reporting It...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413882/ https://www.ncbi.nlm.nih.gov/pubmed/34475141 http://dx.doi.org/10.1136/bmjopen-2020-044987 |
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author | Foley, Louise Larkin, James Lombard-Vance, Richard Murphy, Andrew W Hynes, Lisa Galvin, Emer Molloy, Gerard J |
author_facet | Foley, Louise Larkin, James Lombard-Vance, Richard Murphy, Andrew W Hynes, Lisa Galvin, Emer Molloy, Gerard J |
author_sort | Foley, Louise |
collection | PubMed |
description | OBJECTIVES: This systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population. METHODS: A systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. PubMed, EMBASE, CINAHL and PsycINFO were searched for relevant articles published in English language between January 2009 and April 2019. Quantitative studies reporting medication non-adherence and/or predictors of non-adherence among people with two or more chronic conditions were included in the review. A meta-analysis was conducted with a subgroup of studies that used an inclusive definition of multimorbidity to recruit participants, rather than seeking people with specific conditions. Remaining studies reporting prevalence and predictors of non-adherence were narratively synthesised. RESULTS: The database search produced 10 998 records and a further 75 were identified through other sources. Following full-text screening, 178 studies were included in the review. The range of reported non-adherence differed by measurement method, at 76.5% for self-report, 69.4% for pharmacy data, and 44.1% for electronic monitoring. A meta-analysis was conducted with eight studies (n=8949) that used an inclusive definition of multimorbidity to recruit participants. The pooled prevalence of non-adherence was 42.6% (95% CI: 34.0 - 51.3%, k=8, I(2)=97%, p<0.01). The overall range of non-adherence was 7.0%–83.5%. Frequently reported correlates of non-adherence included previous non-adherence and treatment-related beliefs. CONCLUSIONS: The review identified a heterogeneous literature in terms of conditions studied, and definitions and measures of non-adherence used. Results suggest that future attempts to improve adherence among people with multimorbidity should determine for which conditions individuals require most support. The variable levels of medication non-adherence highlight the need for more attention to be paid by healthcare providers to the impact of multimorbidity on chronic disease self-management. PROSPERO REGISTRATION NUMBER: CRD42019133849. |
format | Online Article Text |
id | pubmed-8413882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-84138822021-09-22 Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis Foley, Louise Larkin, James Lombard-Vance, Richard Murphy, Andrew W Hynes, Lisa Galvin, Emer Molloy, Gerard J BMJ Open General practice / Family practice OBJECTIVES: This systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population. METHODS: A systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. PubMed, EMBASE, CINAHL and PsycINFO were searched for relevant articles published in English language between January 2009 and April 2019. Quantitative studies reporting medication non-adherence and/or predictors of non-adherence among people with two or more chronic conditions were included in the review. A meta-analysis was conducted with a subgroup of studies that used an inclusive definition of multimorbidity to recruit participants, rather than seeking people with specific conditions. Remaining studies reporting prevalence and predictors of non-adherence were narratively synthesised. RESULTS: The database search produced 10 998 records and a further 75 were identified through other sources. Following full-text screening, 178 studies were included in the review. The range of reported non-adherence differed by measurement method, at 76.5% for self-report, 69.4% for pharmacy data, and 44.1% for electronic monitoring. A meta-analysis was conducted with eight studies (n=8949) that used an inclusive definition of multimorbidity to recruit participants. The pooled prevalence of non-adherence was 42.6% (95% CI: 34.0 - 51.3%, k=8, I(2)=97%, p<0.01). The overall range of non-adherence was 7.0%–83.5%. Frequently reported correlates of non-adherence included previous non-adherence and treatment-related beliefs. CONCLUSIONS: The review identified a heterogeneous literature in terms of conditions studied, and definitions and measures of non-adherence used. Results suggest that future attempts to improve adherence among people with multimorbidity should determine for which conditions individuals require most support. The variable levels of medication non-adherence highlight the need for more attention to be paid by healthcare providers to the impact of multimorbidity on chronic disease self-management. PROSPERO REGISTRATION NUMBER: CRD42019133849. BMJ Publishing Group 2021-09-01 /pmc/articles/PMC8413882/ /pubmed/34475141 http://dx.doi.org/10.1136/bmjopen-2020-044987 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | General practice / Family practice Foley, Louise Larkin, James Lombard-Vance, Richard Murphy, Andrew W Hynes, Lisa Galvin, Emer Molloy, Gerard J Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
title | Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
title_full | Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
title_fullStr | Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
title_full_unstemmed | Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
title_short | Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
title_sort | prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis |
topic | General practice / Family practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413882/ https://www.ncbi.nlm.nih.gov/pubmed/34475141 http://dx.doi.org/10.1136/bmjopen-2020-044987 |
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