Key result
Nurse-led mHealth care increases odds of quadruple GDMT prescription at discharge by ~61% vs usual care.
Why the study?
Nurse-led care supported by mHealth technologies offers a feasible strategy to strengthen HF management in resource-constrained settings, but its impact on GDMT prescription at discharge in India needed evaluation.
Does an mHealth-enabled, nurse-led collaborative care model improve prescription of guideline-directed medical therapy at discharge in patients with HFrEF?
RCT (n=1,507)
Open-label
1:1 cluster-randomized
Yes
Does an mHealth-enabled, nurse-led collaborative care model improve prescription of guideline-directed medical therapy at discharge in patients with HFrEF?
An mHealth-supported nurse-led collaborative care model significantly increased the prescription of all four components of guideline-directed medical therapy at discharge for patients with HFrEF.
Supports mHealth nurse-led care to raise GDMT at HFrEF discharge; extends collaborative models to multicenter RCTs in resource-limited settings.
Background Nurse-led care supported by mobile health (mHealth) technologies offers a feasible strategy to strengthen heart failure (HF) management in resource-constrained settings. This study evaluated the impact of an mHealth-enabled, nurse-led collaborative care model on prescription of guideline-directed medical therapy (GDMT) at discharge among patients with heart failure with reduced ejection fraction (HFrEF) in India. Methods The TIME-HF study was a multicenter, open-label, cluster-randomized controlled trial conducted across 22 centers enrolling patients with HFrEF. Centers were randomized 1:1 to an intervention arm (11 centers; 755 patients) or enhanced usual care (11 centers; 752 patients). In the intervention arm, nurses used an mHealth application to review GDMT prescriptions and recommend treatment modifications to physicians. GDMT at discharge was assessed individually and using a composite score. Intervention effects were evaluated using multivariable mixed-effects logistic regression models. Results Participants were predominantly male (77.6%) with a mean age of 61.9 years (SD 12.1). Hypertension (56.1%), diabetes (62%), and chronic kidney disease (18.4%) were common comorbidities. Ischemic heart disease was the leading etiology (77.4%), and 48.8% were in NYHA class III/IV. Baseline characteristics were similar between groups. At discharge, 20% received all four GDMT components, with higher use in the intervention group than usual care (27% vs 13%, p < 0.001; adjusted OR 1.61, 95% CI 1.48–1.75). Intervention participants were also more likely to achieve a high GDMT score (OR 1.13, 95% CI 1.04–1.22). Conclusion An mHealth-supported nurse-led discharge medication review improved GDMT use in HFrEF and may help reduce preventable HF mortality in India. Trial registration: Clinical Trial Registry of India (CTRI/2021/11/037797), Registered on 03/11/2021; the study is ongoing.
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Jeemon et al. (2026) conducted an RCT in Heart failure with reduced ejection fraction (HFrEF) (n=1,507). mHealth-enabled, nurse-led collaborative care model vs. Enhanced usual care was evaluated on Prescription of all four guideline-directed medical therapy (GDMT) components at discharge (adjusted OR 1.61, 95% CI 1.48-1.75, p=<0.001). An mHealth-enabled, nurse-led collaborative care model increased the prescription of all four GDMT components at discharge compared to usual care (27% vs 13%; adjusted OR 1.61, P<0.001).
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