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Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis
The present meta-analysis has been conducted to review currently available literature to examine the factors associated with adherence to anti-depressant medications in adults. This meta-analysis and systematic review followed the MOOSE (Meta-analysis of Observational Studies in Epidemiology) guidel...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114977/ https://www.ncbi.nlm.nih.gov/pubmed/37091492 http://dx.doi.org/10.7759/cureus.37828 |
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author | Muhammad, Nazar Ullah, Salecah R Nagi, Talwinder K Yousaf, Rao Ahmed |
author_facet | Muhammad, Nazar Ullah, Salecah R Nagi, Talwinder K Yousaf, Rao Ahmed |
author_sort | Muhammad, Nazar |
collection | PubMed |
description | The present meta-analysis has been conducted to review currently available literature to examine the factors associated with adherence to anti-depressant medications in adults. This meta-analysis and systematic review followed the MOOSE (Meta-analysis of Observational Studies in Epidemiology) guidelines. According to this analysis, the three most important electronic resources for research were CINAHL, EMBASE, and Medline. Google Scholar was used to supplementing the articles already available for review. Keywords used to find relevant articles included "predictors," "non-adherence," "anti-depressants," and "adults." Medical subject headings (MeSH) terms and Boolean operators ("AND" and "OR") were used in the search strategy to refine the search further. Studies included in this meta-analysis had information on factors associated with non-adherence to anti-depressant medication. The study evaluated samples of adult participants over 18 years with a diagnosis of depression and who had been prescribed anti-depressants. In conclusion, this meta-analysis examined the relationship between demographic factors and non-adherence to anti-depressant medications. The findings revealed that gender, educational status, income level, marital status, and area of residence did not significantly predict non-adherence to anti-depressants. However, older age and polypharmacy were significant predictors of adherence to anti-depressants. The study also found that individuals living in urban areas were more likely to adhere to anti-depressants, but the difference was not statistically significant. |
format | Online Article Text |
id | pubmed-10114977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-101149772023-04-20 Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis Muhammad, Nazar Ullah, Salecah R Nagi, Talwinder K Yousaf, Rao Ahmed Cureus Psychiatry The present meta-analysis has been conducted to review currently available literature to examine the factors associated with adherence to anti-depressant medications in adults. This meta-analysis and systematic review followed the MOOSE (Meta-analysis of Observational Studies in Epidemiology) guidelines. According to this analysis, the three most important electronic resources for research were CINAHL, EMBASE, and Medline. Google Scholar was used to supplementing the articles already available for review. Keywords used to find relevant articles included "predictors," "non-adherence," "anti-depressants," and "adults." Medical subject headings (MeSH) terms and Boolean operators ("AND" and "OR") were used in the search strategy to refine the search further. Studies included in this meta-analysis had information on factors associated with non-adherence to anti-depressant medication. The study evaluated samples of adult participants over 18 years with a diagnosis of depression and who had been prescribed anti-depressants. In conclusion, this meta-analysis examined the relationship between demographic factors and non-adherence to anti-depressant medications. The findings revealed that gender, educational status, income level, marital status, and area of residence did not significantly predict non-adherence to anti-depressants. However, older age and polypharmacy were significant predictors of adherence to anti-depressants. The study also found that individuals living in urban areas were more likely to adhere to anti-depressants, but the difference was not statistically significant. Cureus 2023-04-19 /pmc/articles/PMC10114977/ /pubmed/37091492 http://dx.doi.org/10.7759/cureus.37828 Text en Copyright © 2023, Muhammad et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Psychiatry Muhammad, Nazar Ullah, Salecah R Nagi, Talwinder K Yousaf, Rao Ahmed Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis |
title | Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis |
title_full | Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis |
title_fullStr | Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis |
title_short | Factors Associated With Non-adherence to Anti-depressant Medication in Adults: A Systematic Review and Meta-Analysis |
title_sort | factors associated with non-adherence to anti-depressant medication in adults: a systematic review and meta-analysis |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114977/ https://www.ncbi.nlm.nih.gov/pubmed/37091492 http://dx.doi.org/10.7759/cureus.37828 |
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