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Objectives: To assess the cost-effectiveness of a multicomponent strategy versus usual care in people with type 2 diabetes in South Asia., Design: Economic evaluation from healthcare system and societal perspectives., Setting: Ten diverse urban clinics in India and Pakistan., Participants: 1146 people with type 2 diabetes (575 in the intervention group and 571 in the usual care group) with mean age of 54.2 years, median diabetes duration: 7 years and mean HbA1c: 9.9% (85 mmol/mol) at baseline., Intervention: Multicomponent strategy comprising decision-supported electronic health records and non-physician care coordinator. Control group received usual care., Outcome Measures: Incremental cost-effectiveness ratios (ICERs) per unit achievement in multiple risk factor control (HbA1c <7% (53 mmol/mol) and SBP <130/80 mmHg or LDLc <2.58 mmol/L (100 mg/dL)), ICERs per unit reduction in HbA1c, 5-mmHg unit reductions in systolic BP, 10-unit reductions in LDLc (mg/dl) (considered as clinically relevant) and ICER per quality-adjusted life years (QALYs) gained. ICERs were reported in 2020 purchasing power parity-adjusted international dollars (INT$). The probability of ICERs being cost-effective was considered depending on the willingness to pay (WTP) values as a share of GDP per capita for India (Int$ 7041.4) and Pakistan (Int$ 4847.6)., Results: Compared to usual care, the annual incremental costs per person for intervention group were Int$ 1061.9 from a health system perspective and Int$ 1093.6 from a societal perspective. The ICER was Int$ 10,874.6 per increase in multiple risk factor control, $2588.1 per one percentage point reduction in the HbA1c, and $1744.6 per 5 unit reduction in SBP (mmHg), and $1271 per 10 unit reduction in LDLc (mg/dl). The ICER per QALY gained was $33,399.6 from a societal perspective., Conclusions: In a trial setting in South Asia, a multicomponent strategy for diabetes care resulted in better multiple risk factor control at higher costs and may be cost-effective depending on the willingness to pay threshold with substantial uncertainty around cost-effectiveness for QALYs gained in the short term (2.5 years). Future research needs to confirm the long-term cost-effectiveness of intensive multifactorial intervention for diabetes care in diverse healthcare settings in LMICs., (© 2023 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.)

Aim: Achievement of treatment targets among individuals with diabetes remains suboptimal in many parts of the globe. We aimed to assess changes in diabetes prevalence and achievement of diabetes care goals in South Asia using two consecutive cross-sectional population-based surveys., Methods: Two representative samples of South Asian adults were recruited using identical methods from Chennai, Delhi, and Karachi in 2010-11 (n = 16,288; response rate-94.7%) and 2015-16 (n = 14,587; response rate-94.0%) through the Center for Cardio-metabolic Risk Reduction in South Asia (CARRS) Study. Quality of care goals were defined as HbA 1c <53 mmol/mol (7.0%), blood pressure (BP) control: <140/90 mmHg, lipid control: LDL cholesterol <2.56 mmol/l (100 mg/dl), and self-reported non-smoking., Results: Weighted prevalence of self-reported diabetes increased by 9.0% [13% (95%CI: 13-14) to 15% (14-15)] while that of newly diagnosed diabetes decreased by 16% [6.1% (5.7-6.6) to 5.1% (4.6-5.6)]. There were improvements in achieving glycaemic (25% to 30%, p = 0.002) and lipid (34% to 45%, p < 0.001) goals, but no notable improvements in BP control or smoking status. The proportion of individuals with self-reported diabetes meeting more than one target also increased., Conclusions: Diabetes prevalence continues to grow among urban South Asians and large gaps still exist in the attainment of treatment targets. Concerted policy, systemic, clinical and individual efforts are needed to close these care gaps., (© 2020 Diabetes UK.)

Aims: To evaluate whether and what combinations of diabetes quality metrics were achieved in a multicentre trial in South Asia evaluating a multicomponent quality improvement intervention that included non-physician care coordinators to promote adherence and clinical decision-support software to enhance physician practices, in comparision with usual care., Methods: Using data from the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) trial, we evaluated the proportions of trial participants achieving specific and combinations of five diabetes care targets (HbA 1c <53 mmol/mol [7%], blood pressure <130/80 mmHg, LDL cholesterol <2.6 mmol/L, non-smoking status, and aspirin use). Additionally, we examined the proportions of participants achieving the following risk factor improvements from baseline: ≥11-mmol/mol (1%) reduction in HbA 1c , ≥10-mmHg reduction in systolic blood pressure, and/or ≥0.26-mmol/l reduction in LDL cholesterol., Results: Baseline characteristics were similar in the intervention and usual care arms. Overall, 12.3%, 29.4%, 36.5%, 19.5% and 2.2% of participants in the intervention group and 16.2%, 38.3%, 31.6%, 11.3% and 0.8% of participants in the usual care group achieved any one, two, three, four or five targets, respectively. We noted sizeable improvements in HbA 1c , blood pressure and cholesterol, and found that participants in the intervention group were twice as likely to achieve improvements in all three indices at 12 months that were sustained over 28 months of the study [relative risk 2.1 (95% CI 1.5,2.8) and 1.8 (95% CI 1.5,2.3), respectively]., Conclusions: The intervention was associated with significantly higher achievement of and greater improvements in composite diabetes quality care goals. However, among these higher-risk participants, very small proportions achieved the complete group of targets, which suggests that achievement of multiple quality-of-care goals is challenging and that other methods may be needed in closing care gaps., (© 2019 Diabetes UK.)

Aims: To describe physicians' acceptance of decision-support electronic health record system and its impact on diabetes care goals among people with Type 2 diabetes., Methods: We analysed data from participants in the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) trial, who received the study intervention (care coordinators and use of a decision-support electronic health record system; n=575) using generalized estimating equations to estimate the association between acceptance/rejection of decision-support system prompts and outcomes (mean changes in HbA 1c , blood pressure and LDL cholesterol) considering repeated measures across all time points available. We conducted in-depth interviews with physicians to understand the benefits, challenges and value of the decision-support electronic health record system and analysed physicians' interviews using Rogers' diffusion of innovation theory., Results: At end-of-trial, participants with diabetes for whom glycaemic, systolic blood pressure, diastolic blood pressure and LDL cholesterol decision-support electronic health record prompts were accepted vs rejected, experienced no reduction in HbA 1c [mean difference: -0.05 mmol/mol (95% CI -0.22, 0.13); P=0.599], but statistically significant improvements were observed for systolic blood pressure [mean difference: -11.6 mmHg (95% CI -13.9, -9.3); P ≤ 0.001], diastolic blood pressure [mean difference: -5.2 mmHg (95% CI -6.5, -3.8); P ≤ 0.001] and LDL cholesterol [mean difference: -0.7 mmol/l (95% CI -0.6, -0.8); P ≤0.001], respectively. The relative advantages and compatibility of the decision-support electronic health record system with existing clinic set-ups influenced physicians' acceptance of it. Software complexities and data entry challenges could be overcome by task-sharing., Conclusion: Wider adherence to decision-support electronic health record prompts could potentially improve diabetes goal achievement, particularly when accompanied by assistance from a non-physician health worker., (© 2018 Diabetes UK.)