Evidence map›Paper›PMID 32891691›Full record

ArticleDiabetes research and clinical practice2020

Predictors of health facility readiness for diabetes service delivery in low- and middle-income countries: The case of Bangladesh.

Jacqueline A Seiglie, Edson Serván-Mori, Tahmina Begum, James B Meigs, Deborah J Wexler, Veronika J Wirtz

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Article in Diabetes research and clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

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9citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jacqueline A SeiglieDiabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Edson Serván-MoriNational Institute of Public Health, Cuernavaca, Mexico. Electronic address: eservan@insp.mx.
Tahmina BegumHealth Financing Specialist, Dhaka, Bangladesh.
James B MeigsDepartment of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Deborah J WexlerDiabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Veronika J WirtzDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.

Funding

TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
NIDDK NIH HHS L30 DK122468NIDDK NIH HHS T32 DK007028
6 · The paper itself

Abstract

aimsWe aimed to evaluate the readiness and predictors of diabetes service capability at the level of primary care in Bangladesh as an illustrative instance of readiness for diabetes care in low- and middle-income countries (LMICs).

methodsWe used data from the 2014 Bangladesh Health Facility Survey (BHFS), a cross-sectional, nationally representative survey (n = 1596 health facilities). We constructed a diabetes-specific readiness index to assess diabetes service readiness in facilities with outpatient capability and used multivariable regression analysis to evaluate contextual predictors of diabetes service readiness.

resultsThree-hundred and forty-five facilities with outpatient and diabetes service capability were included. Mean readiness for diabetes service capability on a scale of 0-100 was 24.9 (95%CI: 20.8-28.9) and was lowest in rural settings, districts with high social deprivation, and public facilities, where diabetes diagnostic equipment and medications were largely unavailable. Facility type was the strongest, independent predictor of diabetes service readiness.

conclusionsDiabetes service readiness in outpatient facilities in Bangladesh was low, particularly in public facilities, rural settings, and districts with high social deprivation. .These findings could inform policies aimed at improving diabetes care in areas of high unmet need and may serve as a model to assess diabetes service readiness in other LMICs.

Indexed as

BangladeshCross-Sectional StudiesDeveloping CountriesDiabetes MellitusFemaleHealth Care SurveysHealth FacilitiesHealth Services AccessibilityHumansMaleDiabetes in BangladeshDiabetes service readinessDisparities in diabetes careLow- and middle-income countries

Identifiers

PMID32891691
PMCPMC8092080

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.