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Prevalence of multimorbidity in South Africa: a systematic review protocol
INTRODUCTION: Multimorbidity has increased globally over the past two decades, due to ageing populations and increased burden of non-communicable diseases (NCDs). In a country like South Africa, with a growing burden of NCDs and a high prevalence of HIV, information on multimorbidity can improve pla...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737082/ https://www.ncbi.nlm.nih.gov/pubmed/33318121 http://dx.doi.org/10.1136/bmjopen-2020-042889 |
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author | Roomaney, Rifqah A van Wyk, Brian Turawa, Eunice Bolanle Pillay-van Wyk, Victoria |
author_facet | Roomaney, Rifqah A van Wyk, Brian Turawa, Eunice Bolanle Pillay-van Wyk, Victoria |
author_sort | Roomaney, Rifqah A |
collection | PubMed |
description | INTRODUCTION: Multimorbidity has increased globally over the past two decades, due to ageing populations and increased burden of non-communicable diseases (NCDs). In a country like South Africa, with a growing burden of NCDs and a high prevalence of HIV, information on multimorbidity can improve planning for healthcare delivery and utilisation, and reduce costs in the context of constrained health resources. This review aims to synthesise prevalence studies on multimorbidity, and identify dominant clusters and trends of multimorbidity in South Africa. METHODS AND ANALYSIS: We will search electronic bibliographic databases (PubMed, Scopus, JSTOR, POPLINE, PsycINFO, ScienceDirect, Web of Science and CINAHL), and the reference lists of included articles. Two researchers will independently screen title and abstracts, and then full text to identify studies published before and in 2020 that report on prevalence of multimorbidity in South Africa. Risk of bias assessments will be done for each study. Information on the prevalence of multimorbidity and disease clusters will be extracted from each study. Where possible, prevalence of specific clusters of multimorbidity will be pooled using a random effects meta-analysis to account for variability between studies. The I(2) statistic will be used to establish the extent of heterogeneity due to variation in prevalence estimates rather than due to chance. The systematic review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. ETHICS AND DISSEMINATION: Only published journal articles will be included in the systematic review. This review received ethics approval as part of a larger project by the University of the Western Cape Biomedical Science Research Ethics Committee (BM20/5/8). The findings from this research will be used to estimate the prevalence of multimorbidity in South Africa and will contribute to the design of future research projects. The findings will be disseminated in a peer-reviewed journal article. PROSPERO REGISTRATION NUMBER: CRD42020196895. |
format | Online Article Text |
id | pubmed-7737082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77370822020-12-28 Prevalence of multimorbidity in South Africa: a systematic review protocol Roomaney, Rifqah A van Wyk, Brian Turawa, Eunice Bolanle Pillay-van Wyk, Victoria BMJ Open Epidemiology INTRODUCTION: Multimorbidity has increased globally over the past two decades, due to ageing populations and increased burden of non-communicable diseases (NCDs). In a country like South Africa, with a growing burden of NCDs and a high prevalence of HIV, information on multimorbidity can improve planning for healthcare delivery and utilisation, and reduce costs in the context of constrained health resources. This review aims to synthesise prevalence studies on multimorbidity, and identify dominant clusters and trends of multimorbidity in South Africa. METHODS AND ANALYSIS: We will search electronic bibliographic databases (PubMed, Scopus, JSTOR, POPLINE, PsycINFO, ScienceDirect, Web of Science and CINAHL), and the reference lists of included articles. Two researchers will independently screen title and abstracts, and then full text to identify studies published before and in 2020 that report on prevalence of multimorbidity in South Africa. Risk of bias assessments will be done for each study. Information on the prevalence of multimorbidity and disease clusters will be extracted from each study. Where possible, prevalence of specific clusters of multimorbidity will be pooled using a random effects meta-analysis to account for variability between studies. The I(2) statistic will be used to establish the extent of heterogeneity due to variation in prevalence estimates rather than due to chance. The systematic review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. ETHICS AND DISSEMINATION: Only published journal articles will be included in the systematic review. This review received ethics approval as part of a larger project by the University of the Western Cape Biomedical Science Research Ethics Committee (BM20/5/8). The findings from this research will be used to estimate the prevalence of multimorbidity in South Africa and will contribute to the design of future research projects. The findings will be disseminated in a peer-reviewed journal article. PROSPERO REGISTRATION NUMBER: CRD42020196895. BMJ Publishing Group 2020-12-13 /pmc/articles/PMC7737082/ /pubmed/33318121 http://dx.doi.org/10.1136/bmjopen-2020-042889 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://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/. |
spellingShingle | Epidemiology Roomaney, Rifqah A van Wyk, Brian Turawa, Eunice Bolanle Pillay-van Wyk, Victoria Prevalence of multimorbidity in South Africa: a systematic review protocol |
title | Prevalence of multimorbidity in South Africa: a systematic review protocol |
title_full | Prevalence of multimorbidity in South Africa: a systematic review protocol |
title_fullStr | Prevalence of multimorbidity in South Africa: a systematic review protocol |
title_full_unstemmed | Prevalence of multimorbidity in South Africa: a systematic review protocol |
title_short | Prevalence of multimorbidity in South Africa: a systematic review protocol |
title_sort | prevalence of multimorbidity in south africa: a systematic review protocol |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737082/ https://www.ncbi.nlm.nih.gov/pubmed/33318121 http://dx.doi.org/10.1136/bmjopen-2020-042889 |
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