Epidemiology of multimorbidity in Nepal: A systematic review and meta-analysis

Author:

Sinha Abhinav12ORCID,Suman S. Shradha1,Subedi Narayan34,Sahoo Krushna Chandra1,Poudel Mukesh5,Chauhan Arohi6,Sahoo Banamber1,van den Akker Marjan7ORCID,Weller David8,Mercer Stewart W8,Pati Sanghamitra1

Affiliation:

1. ICMR-Regional Medical Research Centre, Bhubaneswar, India

2. South Asian Institute of Health Promotion, Bhubaneswar, India

3. Nepal Development Society, Chitwan, Nepal

4. Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC, Australia

5. Ministry of Health and Population, Kathmandu, Nepal

6. Public Health Foundation of India, Gurugram, India

7. Institute of General Practice, Goethe University, Frankfurt am Main, Germany

8. Usher Institute, University of Edinburgh, Edinburgh, UK

Abstract

Background Multimorbidity is rising in low-and middle-income countries such as Nepal, yet the research has not gained pace in this field. We aimed to systematically review the existing multimorbidity literature in Nepal and estimate the prevalence and map its risk factors and consequences. Methods We reviewed data collated from PubMed, Embase and CINAHL by including original studies that reported prevalence of multimorbidity in Nepal. The quality of included studies was assessed using the Appraisal Tool for Cross-sectional Studies. The summary of the review is presented both qualitatively as well as through meta-analysis to give pooled prevalence. We prospectively registered in PROSPERO (CRD42024499598). Results We identified 423 studies out of which seven were included in this review. All studies were conducted in a community setting except one which was hospital based. The prevalence reported across various studies ranged from 13.96% to 70.1%. The pooled prevalence of multimorbidity was observed to be 25.05% (95% CI: 16.99 to 34.09). The number of conditions used to assess multimorbidity ranged from four to nine. The major risk factors identified were increasing age, urban residence, and lower literacy rates. Conclusion A wide variance in the prevalence of multimorbidity was observed. Moreover, multimorbidity assessment tool/conditions considered for assessing multimorbidity were heterogeneous.

Publisher

SAGE Publications

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