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.

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State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_62EE7D524918
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
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
Author(s)
Flood D., Seiglie J.A., Dunn M., Tschida S., Theilmann M., Marcus M.E., Brian G., Norov B., Mayige M.T., Singh Gurung M., Aryal K.K., Labadarios D., Dorobantu M., Silver B.K., Bovet P., Adelin Jorgensen J.M., Guwatudde D., Houehanou C., Andall-Brereton G., Quesnel-Crooks S., Sturua L., Farzadfar F., Saeedi Moghaddam S., Atun R., Vollmer S., Bärnighausen T.W., Davies J.I., Wexler D.J., Geldsetzer P., Rohloff P., Ramírez-Zea M., Heisler M., Manne-Goehler J.
ISSN
2666-7568 (Electronic)
ISSN-L
2666-7568
Publication state
Published
Issued date
06/2021
Peer-reviewed
Oui
Volume
2
Number
6
Pages
e340-e351
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
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.
Keywords
pooled analysis, risk-factors, mortality, care, intervention, management, quality, disease, Geriatrics & Gerontology
Pubmed
Web of science
Open Access
Yes
Create date
19/07/2021 10:12
Last modification date
25/05/2023 7:11
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