Delanerolle, G.; Bouchareb, Y.; Jagadeesan, P.; Li, G.; Yang, X.; Cavalini, H.; Kazali, S.; Zemokoho, A.; Benfield, D.; Shetty, A.; Phiri, P.; Shi, J.Q. A Systematic Review and Meta-Epidemiology study on Multimorbidity. Preprints2023, 2023081662. https://doi.org/10.20944/preprints202308.1662.v1
APA Style
Delanerolle, G., Bouchareb, Y., Jagadeesan, P., Li, G., Yang, X., Cavalini, H., Kazali, S., Zemokoho, A., Benfield, D., Shetty, A., Phiri, P., & Shi, J.Q. (2023). A Systematic Review and Meta-Epidemiology study on Multimorbidity. Preprints. https://doi.org/10.20944/preprints202308.1662.v1
Chicago/Turabian Style
Delanerolle, G., Peter Phiri and Jian qing Shi. 2023 "A Systematic Review and Meta-Epidemiology study on Multimorbidity" Preprints. https://doi.org/10.20944/preprints202308.1662.v1
Abstract
With enhanced life expectancy and ageing global populations, the prevalence of multimorbidity continues to increase. However, there is a dearth of evidence linked to multimorbidity diagnoses, treatments and health outcomes which remains a concern for future proofing optimal healthcare services. Generating evidence is critical to managing multimorbidity, promoting public health and minimizing health inequalities via effective healthcare policies that improve quality of life for vulnerable populations. This study assessed meta-epidemiology of multimorbidity to report the gaps in scientific knowledge and clinical practice. A systematic methodology was designed and published in PROSPERO (CRD42022347308) to report meta-epidemiology analyses using databases including PubMed, Web of Science, ScienceDirect, EMBASE, The Cochrane Gynaecology and Fertility Group Specialised Register of Controlled Trials and MEDLINE for studies published between the 1st of January 1980 - 31st December 2022. A random-effects model was used to estimate the pooled proportion of multimorbidity in adults. Forest plots, pooled odds ratios and statistical heterogeneity metrics were used to assess the association between multimorbidity and investigated factors. Funnel plots and Egger’s regression were used to detect and correct for publication bias. Our findings identified women to be 0.32 times more likely to have multimorbidity in comparison to males. In regard to ethnicity, white people were 0.47 times less likely to develop comorbidities than black people. People who identified as a drinker or unmarried were more likely to develop comorbidities than those who are non-drinkers or married, respectively. Regardless of smoking status, people were equally likely to have comorbidity. In terms of environmental influences, people in rural areas were found to be 0.2 times less likely to have comorbidity in comparison to those living in urban areas. Interestingly, people with a higher education level were 0.57 times more likely to develop comorbidities than those with only a high school education. It is evident that multimorbidity has a significant burden globally and impacts the provision of care necessitated across populations given its association with several social determinants of health. Robust research and healthcare policies are required to better manage multimorbidity in patients. An example of such intervention includes employing prevention programs to reduce risk and incidence of multimorbidity within at-risk populations.
Keywords
Multimorbidity; Chronic condition; Health Inequalities; Global health; Epidemiology
Subject
Medicine and Pharmacology, Clinical Medicine
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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