Epidemiology of multimorbidity among people living with HIV in sub-Saharan Africa : a systematic review protocol

Oladimeji, Kelechi Elizabeth ; Dzomba, Armstrong ; Adetokunboh, Olatunji ; Zungu, Lindiwe ; Yaya, Sanni ; Ter Goon, Daniel (2020-12-12)

CITATION: Oladimeji, Kelechi Elizabeth et al. 2020. Epidemiology of multimorbidity among people living with HIV in sub-Saharan Africa : a systematic review protocol. BMJ Open, 10(12):e036988, doi:10.1136/bmjopen-2020-036988.

The original publication is avaialble at: https://bmjopen.bmj.com


Introduction Sub-Saharan Africa remains the epicentre of the HIV pandemic, yet enormous knowledge gaps still exist to elicit a comprehensive portrait of multimorbidity and HIV linkage. This study aims to conduct a systematic meta-analysis of peer-reviewed literature to investigate the current status of multimorbidity epidemiology among people living with HIV (PLHIV) in sub-Saharan Africa. Methods and analysis Our review will assess observational studies (ie, cohort, case–control and cross-sectional) on multimorbidity associated with HIV/AIDS between 1 January 2005 and 31 October 2020 from sub-Saharan Africa. Databases to be searched include PubMed/MEDLINE, Scopus, Web of Science, Cochrane library, African Index Medicus and African Journals Online. We will also search the WHO clinical trial registry and databases for systematic reviews. The search strategy will involve the use of medical subject headings and key terms to obtain studies on the phenomena of HIV and multimorbidity at high precision. Quality assessment of eligible studies will be ascertained using a validated quality assessment tool for observational studies and risk of bias through sensitivity analysis to identify publication bias. Further, data on characteristics of the study population, multimorbid conditions, epidemiological rates and spatial distribution of multimorbid conditions in PLHIV will be extracted. Heterogeneity of individual studies will be evaluated using the I2 statistic from combined effect size estimates. The statistical analysis will be performed using STATA statistical software V.15 and results will be graphically represented on a forest plot.

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