Abstract

SummaryBackgroundTask-sharing interventions using non-physician health-care workers might be a potential diabetes management strategy in health systems that are constrained by physician shortages, such as those in low-income and middle-income countries (LMICs).MethodsWe did a systematic review and meta-analysis of task-sharing intervention strategies for managing type 2 diabetes in LMICs. We searched PubMed, Embase, and CINAHL from database inception to Sept 25, 2019, for studies that were randomised control trials or cluster randomised trials with task-shifted or task-shared interventions delivered to adults (≥18 years) by non-physician health workers versus usual care, done in LMICs with glycated haemoglobin (HbA1c) or fasting blood sugar (FBS) as outcome measures. The methodological quality of included studies was assessed using the Cochrane risk of bias tool. Random-effects model meta-analysis was used to estimate the population average pooled mean difference for HbA1c and FBS with 95% CIs. Our study protocol was registered in the PROSPERO database (CRD42018081015).FindingsWe found 4213 studies from the literature search, of which 46 (1·1%) were eligible for the narrative synthesis, including a total of 16 973 participants. 16 of these studies were excluded from the meta-analysis due to high risk of bias. 24 studies with a total of 5345 participants were included in the meta-analysis of HbA1c and 18 studies with a total of 3287 participants for FBS. Interventions led to an average reduction in HbA1c when tasks were delivered by nurses (averaged pooled mean difference −0·54% [95% CI −0·89 to −0·18]; I2=80%) and pharmacists (−0·91% [–1·15 to −0·68]; I2=58%), but not when they were delivered by dietitians (−0·50% [–1·10 to 0·09]; I2=54%) or community health workers (0·05% [0·03 to 0·07]; I2=0%). A reduction in average FBS was also observed when interventions were delivered by pharmacists (average pooled mean difference −36·26 mg/dL [–52·60 to −19·92]; I2=78%) but not nurses (−7·46 mg/dL [–18·44 to 3·52]; I2=79%) or community health workers (−5·41 [–12·74 to 1·92]; I2=71%). Only one study reported on FBS when tasks were delivered by dietitians, with a mean difference of −35·00 mg/dL (−65·96 to −4·04).InterpretationTask sharing interventions with non-physician healthcare workers show moderate effectiveness in diabetes management in LMIC settings. Although relatively high heterogeneity limits the interpretation of the overall findings, interventions led by pharmacists and nurses in LMICs with relatively high physician density are effective strategies in the management of diabetes.FundingWellcome Trust–Department of Biotechnology India Alliance.

Highlights

  • Non-communicable diseases (NCDs) continue to be a dominant cause of global deaths

  • We found 4213 studies from the literature search, of which 46 (1·1%) were eligible for the narrative synthesis, including a total of 16 973 participants. 16 of these studies were excluded from the meta-analysis due to high risk of bias. 24 studies with a total of 5345 participants were included in the meta-analysis of HbA1c and 18 studies with a total of 3287 participants for fasting blood sugar (FBS)

  • Consequent to poor detection rates and awareness of diabetes, four of five adults with undiagnosed diabetes live in low-income and middle-income countries (LMICs)

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Summary

Introduction

Non-communicable diseases (NCDs) continue to be a dominant cause of global deaths. The Global Burden of Disease study[1] estimates that NCDs contributed up to three-quarters of total annual deaths in 2019. Low-income and middle-income countries (LMICs) bear a disproportionately higher burden of NCDs than high-income countries. Diabetes is a major contributor to NCDs, affecting about 463 million people globally. Consequent to poor detection rates and awareness of diabetes, four of five adults with undiagnosed diabetes live in LMICs. the treatment and control rates of diabetes are abysmally poor in LMICs.[2] It has been estimated that the total unmet need for diabetes care in terms of poor detection, treatment, and control is about 77% in LMIC settings.[2,3]

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