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      Multimorbidity of communicable and non-communicable diseases in low- and middle-income countries: A systematic 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 1 st January 2000 to 31 st 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.

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          Most cited references47

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

            Long-term disorders are the main challenge facing health-care systems worldwide, but health systems are largely configured for individual diseases rather than multimorbidity. We examined the distribution of multimorbidity, and of comorbidity of physical and mental health disorders, in relation to age and socioeconomic deprivation. In a cross-sectional study we extracted data on 40 morbidities from a database of 1,751,841 people registered with 314 medical practices in Scotland as of March, 2007. We analysed the data according to the number of morbidities, disorder type (physical or mental), sex, age, and socioeconomic status. We defined multimorbidity as the presence of two or more disorders. 42·2% (95% CI 42·1-42·3) of all patients had one or more morbidities, and 23·2% (23·08-23·21) were multimorbid. Although the prevalence of multimorbidity increased substantially with age and was present in most people aged 65 years and older, the absolute number of people with multimorbidity was higher in those younger than 65 years (210,500 vs 194,996). Onset of multimorbidity occurred 10-15 years earlier in people living in the most deprived areas compared with the most affluent, with socioeconomic deprivation particularly associated with multimorbidity that included mental health disorders (prevalence of both physical and mental health disorder 11·0%, 95% CI 10·9-11·2% in most deprived area vs 5·9%, 5·8%-6·0% in least deprived). The presence of a mental health disorder increased as the number of physical morbidities increased (adjusted odds ratio 6·74, 95% CI 6·59-6·90 for five or more disorders vs 1·95, 1·93-1·98 for one disorder), and was much greater in more deprived than in less deprived people (2·28, 2·21-2·32 vs 1·08, 1·05-1·11). Our findings challenge the single-disease framework by which most health care, medical research, and medical education is configured. A complementary strategy is needed, supporting generalist clinicians to provide personalised, comprehensive continuity of care, especially in socioeconomically deprived areas. Scottish Government Chief Scientist Office. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Aging with multimorbidity: a systematic review of the literature.

              A literature search was carried out to summarize the existing scientific evidence concerning occurrence, causes, and consequences of multimorbidity (the coexistence of multiple chronic diseases) in the elderly as well as models and quality of care of persons with multimorbidity. According to pre-established inclusion criteria, and using different search strategies, 41 articles were included (four of these were methodological papers only). Prevalence of multimorbidity in older persons ranges from 55 to 98%. In cross-sectional studies, older age, female gender, and low socioeconomic status are factors associated with multimorbidity, confirmed by longitudinal studies as well. Major consequences of multimorbidity are disability and functional decline, poor quality of life, and high health care costs. Controversial results were found on multimorbidity and mortality risk. Methodological issues in evaluating multimorbidity are discussed as well as future research needs, especially concerning etiological factors, combinations and clustering of chronic diseases, and care models for persons affected by multiple disorders. New insights in this field can lead to the identification of preventive strategies and better treatment of multimorbid patients. Copyright © 2011 Elsevier B.V. All rights reserved.
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                Author and article information

                Journal
                J Multimorb Comorb
                J Multimorb Comorb
                spcob
                COB
                Journal of Multimorbidity and Comorbidity
                SAGE Publications (Sage UK: London, England )
                2633-5565
                1 September 2022
                Jan-Dec 2022
                : 12
                : 26335565221112593
                Affiliations
                [1 ]Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
                [2 ]Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, UK
                [3 ]Prinses Maxima Center for Pediatric Oncology, Ringgold 8124, universityUniversity Medical Center Utrecht; , Utrecht, Netherlands
                [4 ]Ringgold 107883, universityAfrican Population and Health Research Center; , Nairobi, Kenya
                [5 ]Chronic Disease Initiative for Africa, Department of Medicine, Faculty of Health Sciences, Ringgold 63726, universityUniversity of Cape Town; , Cape Town, South Africa
                [6 ]Department of Epidemiology and Biostatistics, School of Public Health, universityKwame Nkrumah University of Science and Technology; , Kumasi, Ghana
                [7 ]Divison of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, universityUniversity of the Witwatersrand; , Johannesburg, South Africa
                Author notes
                [*]Daniel Boateng, Julius Global Health, Julius Center for Health Sciences and Primary Care, UMC Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands. Email: d.boateng-2@ 123456umcutrect.nl
                Author information
                https://orcid.org/0000-0003-3118-6947
                https://orcid.org/0000-0001-7568-7298
                Article
                10.1177_26335565221112593
                10.1177/26335565221112593
                9445468
                36081708
                ca0c5675-b97c-4b26-985a-2b58afd71026
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Categories
                Review Article
                Custom metadata
                ts10
                January-December 2022

                multimorbidity,communicable diseases,non-communicable diseases,low- and middle-income countries,health systems

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