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Health system performance for people with diabetes in 28 low- and middle-income countries: A cross-sectional study of nationally representative surveys.
Manne-Goehler, Jennifer; Geldsetzer, Pascal; Agoudavi, Kokou; Andall-Brereton, Glennis; Aryal, Krishna K; Bicaba, Brice Wilfried; Bovet, Pascal; Brian, Garry; Dorobantu, Maria; Gathecha, Gladwell; Singh Gurung, Mongal; Guwatudde, David; Msaidie, Mohamed; Houehanou, Corine; Houinato, Dismand; Jorgensen, Jutta Mari Adelin; Kagaruki, Gibson B; Karki, Khem B; Labadarios, Demetre; Martins, Joao S; Mayige, Mary T; McClure, Roy Wong; Mwalim, Omar; Mwangi, Joseph Kibachio; Norov, Bolormaa; Quesnel-Crooks, Sarah; Silver, Bahendeka K; Sturua, Lela; Tsabedze, Lindiwe; Wesseh, Chea Stanford; Stokes, Andrew; Marcus, Maja; Ebert, Cara; Davies, Justine I; Vollmer, Sebastian; Atun, Rifat; Bärnighausen, Till W; Jaacks, Lindsay M.
Afiliación
  • Manne-Goehler J; Divison of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Geldsetzer P; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Agoudavi K; Togo Ministry of Health, Lome, Togo.
  • Andall-Brereton G; Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
  • Aryal KK; Nepal Health Research Council, Kathmandu, Nepal.
  • Bicaba BW; Direction de la Lutte Contre la Maladie, Ministère de la Santé, Ouagadougou, Burkina Faso.
  • Bovet P; Ministry of Health, Victoria, Seychelles.
  • Brian G; Institute of Social and Preventive Medicine, Lausanne, Switzerland.
  • Dorobantu M; The Fred Hollows Foundation NZ, Auckland, New Zealand.
  • Gathecha G; Cardiology Department, Emergency Hospital of Bucharest, Bucharest, Romania.
  • Singh Gurung M; Division of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya.
  • Guwatudde D; Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan.
  • Msaidie M; Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.
  • Houehanou C; Comoros Ministry of Health, Solidarity, Social Cohesion and Gender, Moroni, Comoros.
  • Houinato D; Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
  • Jorgensen JMA; Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
  • Kagaruki GB; Partners in Health, Boston, Massachusetts, United States of America.
  • Karki KB; National Institute for Medical Research, Dar es Salaam, Tanzania.
  • Labadarios D; Nepal Health Research Council, Kathmandu, Nepal.
  • Martins JS; Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
  • Mayige MT; Faculty of Medicine and Health Sciences, National University of East Timor, Dili, Timor-Leste.
  • McClure RW; National Institute for Medical Research, Dar es Salaam, Tanzania.
  • Mwalim O; Office of Epidemiology and Surveillance, Caja Costarricense de Seguro Social, San Jose, Costa Rica.
  • Mwangi JK; Zanzibar Ministry of Health, Mnazi Mmoja, Zanzibar.
  • Norov B; Division of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya.
  • Quesnel-Crooks S; National Center for Public Health, Ulaanbaatar, Mongolia.
  • Silver BK; Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
  • Sturua L; St. Francis Hospital, Kampala, Uganda.
  • Tsabedze L; Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia.
  • Wesseh CS; Swaziland Ministry of Health, Mbabane, Swaziland.
  • Stokes A; Liberia Ministry of Health, Monrovia, Liberia.
  • Marcus M; Boston University Center for Global Health and Development, Boston, Massachusetts, United States of America.
  • Ebert C; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
  • Davies JI; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
  • Vollmer S; MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
  • Atun R; Institute for Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
  • Bärnighausen TW; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Jaacks LM; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
PLoS Med ; 16(3): e1002751, 2019 03.
Article en En | MEDLINE | ID: mdl-30822339
ABSTRACT

BACKGROUND:

The prevalence of diabetes is increasing rapidly in low- and middle-income countries (LMICs), urgently requiring detailed evidence to guide the response of health systems to this epidemic. In an effort to understand at what step in the diabetes care continuum individuals are lost to care, and how this varies between countries and population groups, this study examined health system performance for diabetes among adults in 28 LMICs using a cascade of care approach. METHODS AND

FINDINGS:

We pooled individual participant data from nationally representative surveys done between 2008 and 2016 in 28 LMICs. Diabetes was defined as fasting plasma glucose ≥ 7.0 mmol/l (126 mg/dl), random plasma glucose ≥ 11.1 mmol/l (200 mg/dl), HbA1c ≥ 6.5%, or reporting to be taking medication for diabetes. Stages of the care cascade were as follows tested, diagnosed, lifestyle advice and/or medication given ("treated"), and controlled (HbA1c < 8.0% or equivalent). We stratified cascades of care by country, geographic region, World Bank income group, and individual-level characteristics (age, sex, educational attainment, household wealth quintile, and body mass index [BMI]). We then used logistic regression models with country-level fixed effects to evaluate predictors of (1) testing, (2) treatment, and (3) control. The final sample included 847,413 adults in 28 LMICs (8 low income, 9 lower-middle income, 11 upper-middle income). Survey sample size ranged from 824 in Guyana to 750,451 in India. The prevalence of diabetes was 8.8% (95% CI 8.2%-9.5%), and the prevalence of undiagnosed diabetes was 4.8% (95% CI 4.5%-5.2%). Health system performance for management of diabetes showed large losses to care at the stage of being tested, and low rates of diabetes control. Total unmet need for diabetes care (defined as the sum of those not tested, tested but undiagnosed, diagnosed but untreated, and treated but with diabetes not controlled) was 77.0% (95% CI 74.9%-78.9%). Performance along the care cascade was significantly better in upper-middle income countries, but across all World Bank income groups, only half of participants with diabetes who were tested achieved diabetes control. Greater age, educational attainment, and BMI were associated with higher odds of being tested, being treated, and achieving control. The limitations of this study included the use of a single glucose measurement to assess diabetes, differences in the approach to wealth measurement across surveys, and variation in the date of the surveys.

CONCLUSIONS:

The study uncovered poor management of diabetes along the care cascade, indicating large unmet need for diabetes care across 28 LMICs. Performance across the care cascade varied by World Bank income group and individual-level characteristics, particularly age, educational attainment, and BMI. This policy-relevant analysis can inform country-specific interventions and offers a baseline by which future progress can be measured.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pobreza / Encuestas Epidemiológicas / Atención a la Salud / Diabetes Mellitus / Necesidades y Demandas de Servicios de Salud Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS Med Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pobreza / Encuestas Epidemiológicas / Atención a la Salud / Diabetes Mellitus / Necesidades y Demandas de Servicios de Salud Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS Med Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos