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Multimorbidity of communicable and non-communicable diseases in low- and middle-income countries: A systematic review

  • Lucy Kaluvu
  • , Ogechukwu Augustina Asogwa
  • , Anna Marzà-Florensa
  • , Catherine Kyobutungi
  • , Naomi S Levitt
  • , Daniel Boateng*
  • , Kerstin Klipstein-Grobusch
  • *Corresponding author for this work
  • Utrecht University
  • African Population and Health Research Center
  • University of Cape Town
  • Kwame Nkrumah University of Science and Technology
  • University of the Witwatersrand

Research output: Contribution to journalReview articlepeer-review

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Abstract

Objective: The aim of this systematic review is to analyse existing evidence on prevalence, patterns, determinants, and healthcare challenges of communicable and non-communicable disease multimorbidity in low- and middle-income countries (LMICs). Methods: PubMed, Cochrane, and Embase databases were searched from 1st January 2000 to 31st July 2020. The National Institute of Health (NIH) quality assessment tool was used to critically appraise studies. Findings were summarized in a narrative synthesis. The review was registered with PROSPERO (CRD42019133453). Results: Of 3718 articles screened, 79 articles underwent a full text review of which 11 were included for narrative synthesis. Studies reported on 4 to 20 chronic communicable and non-communicable diseases; prevalence of multimorbidity ranged from 13% in a study conducted among 242,952 participants from 48 LMICS to 87% in a study conducted among 491 participants in South Africa. Multimorbidity was positively associated with older age, female sex, unemployment, and physical inactivity. Significantly higher odds of multimorbidity were noted among obese participants (OR 2.33; 95% CI: 2.19–2.48) and those who consumed alcohol (OR 1.44; 95% CI: 1.25–1.66). The most frequently occurring dyads and triads were HIV and hypertension (23.3%) and HIV, hypertension, and diabetes (63%), respectively. Women and participants from low wealth quintiles reported higher utilization of public healthcare facilities. Conclusion: The identification and prevention of risk factors and addressing evidence gaps in multimorbidity clustering is crucial to address the increasing communicable and non-communicable disease multimorbidity in LMICs. To identify communicable and non-communicable diseases trends over time and identify causal relationships, longitudinal studies are warranted.
Original languageEnglish
Pages (from-to)26335565221112593
Number of pages1
JournalJournal of Multimorbidity and Comorbidity
Volume12
Early online date1 Sept 2022
DOIs
Publication statusPublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Review Article
  • multimorbidity
  • communicable diseases
  • non-communicable diseases
  • low- and middle-income countries
  • health systems
  • Health Systems
  • Non-communicable Diseases
  • Low- And Middle-income Countries
  • Communicable Diseases
  • Multimorbidity

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