The state of diabetes treatment coverage in 55 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data in 680 102 adults.


Journal

The lancet. Healthy longevity
ISSN: 2666-7568
Titre abrégé: Lancet Healthy Longev
Pays: England
ID NLM: 101773309

Informations de publication

Date de publication:
06 2021
Historique:
entrez: 25 2 2022
pubmed: 26 2 2022
medline: 26 2 2022
Statut: ppublish

Résumé

Approximately 80% of the 463 million adults worldwide with diabetes live in low- and middle-income countries (LMICs). A major obstacle to designing evidence-based policies to improve diabetes outcomes in LMICs is the limited nationally representative data on the current patterns of treatment coverage. The objectives of this study are (1) to estimate the proportion of adults with diabetes in LMICs who receive coverage of recommended pharmacological and non-pharmacological diabetes treatment and (2) to describe country-level and individual-level characteristics that are associated with treatment. We conducted a cross-sectional analysis of pooled, individual data from 55 nationally representative surveys in LMICs. Our primary outcome of self-reported diabetes treatment coverage was based upon population-level monitoring indicators recommended in the 2020 World Health Organization Package of Essential Noncommunicable Disease Interventions. We assessed coverage of three pharmacological and three non-pharmacological treatments among people with diabetes. At the country level, we estimated the proportion of individuals reporting coverage by per-capita gross national income and geographic region. At the individual level, we used logistic regression models to assess coverage along several key individual characteristics including sex, age, BMI, wealth quintile, and educational attainment. In the primary analysis, we scaled sample weights such that countries were weighted equally. The final pooled sample from the 55 LMICs included 680,102 total individuals and 37,094 individuals with diabetes. Using equal weights for each country, diabetes prevalence was 9.0% (95% confidence interval [CI], 8.7-9.4), with 43.9% (95% CI, 41.9-45.9) reporting a prior diabetes diagnosis. Overall, 4.6% (95% CI, 3.9-5.4) of individuals with diabetes self-reported meeting need for all treatments recommended for them. Coverage of glucose-lowering medication was 50.5% (95% CI, 48.6-52.5); antihypertensive medication, 41.3% (95% CI, 39.3-43.3); cholesterol-lowering medication, 6.3% (95% CI, 5.5-7.2); diet counseling, 32.2% (95% CI, 30.7-33.7); exercise counseling, 28.2% (95% CI, 26.6-29.8); and weight-loss counseling, 31.5% (95% CI, 29.3-33.7). Countries at higher income levels tended to have greater coverage. Female sex and higher age, BMI, educational attainment, and household wealth were also associated with greater coverage. Fewer than one in ten people with diabetes in LMICs receive coverage of guideline-based comprehensive diabetes treatment. Scaling-up the capacity of health systems to deliver treatment not only to lower glucose but also to address cardiovascular disease risk factors such as hypertension and high cholesterol are urgent global diabetes priorities.

Sections du résumé

BACKGROUND
Approximately 80% of the 463 million adults worldwide with diabetes live in low- and middle-income countries (LMICs). A major obstacle to designing evidence-based policies to improve diabetes outcomes in LMICs is the limited nationally representative data on the current patterns of treatment coverage. The objectives of this study are (1) to estimate the proportion of adults with diabetes in LMICs who receive coverage of recommended pharmacological and non-pharmacological diabetes treatment and (2) to describe country-level and individual-level characteristics that are associated with treatment.
METHODS
We conducted a cross-sectional analysis of pooled, individual data from 55 nationally representative surveys in LMICs. Our primary outcome of self-reported diabetes treatment coverage was based upon population-level monitoring indicators recommended in the 2020 World Health Organization Package of Essential Noncommunicable Disease Interventions. We assessed coverage of three pharmacological and three non-pharmacological treatments among people with diabetes. At the country level, we estimated the proportion of individuals reporting coverage by per-capita gross national income and geographic region. At the individual level, we used logistic regression models to assess coverage along several key individual characteristics including sex, age, BMI, wealth quintile, and educational attainment. In the primary analysis, we scaled sample weights such that countries were weighted equally.
FINDINGS
The final pooled sample from the 55 LMICs included 680,102 total individuals and 37,094 individuals with diabetes. Using equal weights for each country, diabetes prevalence was 9.0% (95% confidence interval [CI], 8.7-9.4), with 43.9% (95% CI, 41.9-45.9) reporting a prior diabetes diagnosis. Overall, 4.6% (95% CI, 3.9-5.4) of individuals with diabetes self-reported meeting need for all treatments recommended for them. Coverage of glucose-lowering medication was 50.5% (95% CI, 48.6-52.5); antihypertensive medication, 41.3% (95% CI, 39.3-43.3); cholesterol-lowering medication, 6.3% (95% CI, 5.5-7.2); diet counseling, 32.2% (95% CI, 30.7-33.7); exercise counseling, 28.2% (95% CI, 26.6-29.8); and weight-loss counseling, 31.5% (95% CI, 29.3-33.7). Countries at higher income levels tended to have greater coverage. Female sex and higher age, BMI, educational attainment, and household wealth were also associated with greater coverage.
INTERPRETATION
Fewer than one in ten people with diabetes in LMICs receive coverage of guideline-based comprehensive diabetes treatment. Scaling-up the capacity of health systems to deliver treatment not only to lower glucose but also to address cardiovascular disease risk factors such as hypertension and high cholesterol are urgent global diabetes priorities.

Identifiants

pubmed: 35211689
doi: 10.1016/s2666-7568(21)00089-1
pmc: PMC8865379
mid: NIHMS1754380
doi:

Substances chimiques

Cholesterol 97C5T2UQ7J
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Pagination

e340-e351

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK092926
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK125162
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR003143
Pays : United States
Organisme : NIDDK NIH HHS
ID : T32 DK007028
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR002542
Pays : United States

Commentaires et corrections

Type : CommentIn

Déclaration de conflit d'intérêts

Declaration of interests D.J.W. reports serving on a data-monitoring committee for Novo Nordisk.

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Auteurs

David Flood (D)

Division of Hospital Medicine, Department of Internal Medicine, National Clinician Scholars Program, University of Michigan, Ann Arbor, MI, USA; Center for Indigenous Health Research, Wuqu' Kawoq; Tecpán, Guatemala; Research Center for the Prevention of Chronic Diseases, Institute of Nutrition of Central America and Panama, Guatemala City, Guatemala.

Jacqueline A Seiglie (JA)

Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.

Matthew Dunn (M)

School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.

Scott Tschida (S)

Center for Indigenous Health Research, Wuqu' Kawoq; Tecpán, Guatemala.

Michaela Theilmann (M)

Institute of Global Health, Heidelberg University, Heidelberg, Germany.

Maja E Marcus (ME)

Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany.

Garry Brian (G)

The Fred Hollows Foundation New Zealand, Auckland, New Zealand.

Bolormaa Norov (B)

National Center for Public Health, Ulaanbaatar, Mongolia.

Mary T Mayige (MT)

National Institute for Medical Research, Dar es Salaam, Tanzania.

Mongal Singh Gurung (M)

Health Research and Epidemiology Unit, Ministry of Health, Bhutan.

Krishna K Aryal (KK)

Monitoring Evaluation and Operational Research Project, Abt Associates, Kathmandu, Nepal.

Demetre Labadarios (D)

Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.

Maria Dorobantu (M)

University of Medicine and Pharmacy, Carol Davila, Bucharest, Romania.

Bahendeka K Silver (BK)

St. Francis Hospital, Nsambya, Kampala, Uganda.

Pascal Bovet (P)

Ministry of Health, Victoria, Republic of Seychelles; University Center for Primary Care and Public Health, Lausanne, Switzerland.

Jutta M Adelin Jorgensen (JM)

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

David Guwatudde (D)

Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.

Corine Houehanou (C)

Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Benin.

Glennis Andall-Brereton (G)

Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.

Sarah Quesnel-Crooks (S)

Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia.

Lela Sturua (L)

Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia; Petre Shotadze Tbilisi Medical Academy, Tbilisi, Georgia.

Farshad Farzadfar (F)

Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Sahar Saeedi Moghaddam (S)

Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Rifat Atun (R)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA.

Sebastian Vollmer (S)

Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany.

Till W Bärnighausen (TW)

Institute of Global Health, Heidelberg University, Heidelberg, Germany; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA; Africa Health Research Institute, Somkhele, South Africa.

Justine I Davies (JI)

MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town.

Deborah J Wexler (DJ)

Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.

Pascal Geldsetzer (P)

Institute of Global Health, Heidelberg University, Heidelberg, Germany; Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.

Peter Rohloff (P)

Center for Indigenous Health Research, Wuqu' Kawoq; Tecpán, Guatemala; Division of Global Health Equity, Brigham and Women's Hospital; Boston MA, USA.

Manuel Ramírez-Zea (M)

Research Center for the Prevention of Chronic Diseases, Institute of Nutrition of Central America and Panama, Guatemala City, Guatemala.

Michele Heisler (M)

Department of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, MI, USA.

Jennifer Manne-Goehler (J)

Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

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