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Multimorbidity matters in low and middle-income countries.
Basto-Abreu, Ana; Barrientos-Gutierrez, Tonatiuh; Wade, Alisha N; Oliveira de Melo, Daniela; Semeão de Souza, Ana S; Nunes, Bruno P; Perianayagam, Arokiasamy; Tian, Maoyi; Yan, Lijing L; Ghosh, Arpita; Miranda, J Jaime.
  • Basto-Abreu A; Center for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico.
  • Barrientos-Gutierrez T; Center for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico.
  • Wade AN; MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Oliveira de Melo D; Department of Pharmaceutical Sciences, Universidade Federal de São Paulo, São Paulo, Brazil.
  • Semeão de Souza AS; Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Nunes BP; Department of Nursing in Public Health, Universidade Federal de Pelotas, Pelotas, Brazil.
  • Perianayagam A; International Institute for Population Sciences, Mumbai, India.
  • Tian M; The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
  • Yan LL; School of Public Health, Harbin Medical University, Harbin, China.
  • Ghosh A; Global Health Research Center, Duke Kunshan University, Kunshan, China.
  • Miranda JJ; School of Health Sciences, Wuhan University, Wuhan, China.
J Multimorb Comorb ; 12: 26335565221106074, 2022.
Article in English | MEDLINE | ID: covidwho-1896317
ABSTRACT
Multimorbidity is a complex challenge affecting individuals, families, caregivers, and health systems worldwide. The burden of multimorbidity is remarkable in low- and middle-income countries (LMICs) given the many existing challenges in these settings. Investigating multimorbidity in LMICs poses many challenges including the different conditions studied, and the restriction of data sources to relatively few countries, limiting comparability and representativeness. This has led to a paucity of evidence on multimorbidity prevalence and trends, disease clusters, and health outcomes, particularly longitudinal outcomes. In this paper, based on our experience of investigating multimorbidity in LMICs contexts, we discuss how the structure of the health system does not favor addressing multimorbidity, and how this is amplified by social and economic disparities and, more recently, by the COVID-19 pandemic. We argue that generating epidemiologic data around multimorbidity with similar methods and definition is essential to improve comparability, guide clinical decision-making and inform policies, research priorities, and local responses. We call for action on policy to refinance and prioritize primary care and integrated care as the center of multimorbidity.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: J Multimorb Comorb Year: 2022 Document Type: Article Affiliation country: 26335565221106074

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: J Multimorb Comorb Year: 2022 Document Type: Article Affiliation country: 26335565221106074