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 …
D Flood, JA Seiglie, M Dunn, S Tschida… - The Lancet Healthy …, 2021 - thelancet.com
Background Approximately 80% of the 463 million adults worldwide with diabetes live in low-
income and middle-income countries (LMICs). A major obstacle to designing evidence-
based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally
representative data on the current patterns of treatment coverage. The objectives of this
study were to estimate the proportion of adults with diabetes in LMICs who receive coverage
of recommended pharmacological and non-pharmacological diabetes treatment; and to …
income and middle-income countries (LMICs). A major obstacle to designing evidence-
based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally
representative data on the current patterns of treatment coverage. The objectives of this
study were to estimate the proportion of adults with diabetes in LMICs who receive coverage
of recommended pharmacological and non-pharmacological diabetes treatment; and to …
[PDF][PDF] The state of diabetes treatment coverage in 55 low-income and middle-income countries
D Flood, JA Seiglie, M Dunn, S Tschida, M Theilmann… - 2021 - pure-oai.bham.ac.uk
Background Approximately 80% of the 463 million adults worldwide with diabetes live in low-
income and middle-income countries (LMICs). A major obstacle to designing evidence-
based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally
representative data on the current patterns of treatment coverage. The objectives of this
study were to estimate the proportion of adults with diabetes in LMICs who receive coverage
of recommended pharmacological and non-pharmacological diabetes treatment; and to …
income and middle-income countries (LMICs). A major obstacle to designing evidence-
based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally
representative data on the current patterns of treatment coverage. The objectives of this
study were to estimate the proportion of adults with diabetes in LMICs who receive coverage
of recommended pharmacological and non-pharmacological diabetes treatment; and to …
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