Key result
Tailored EHR alerts did not increase overall GDMT prescriptions at discharge compared with no alert in hospitalized AHF patients (34% vs 34%; adjusted RR 0.95; 95% CI 0.81-1.12; P=0.99).
Why the study?
Patients hospitalized for AHF continue to be discharged on an inadequate number of GDMT despite evidence that inpatient initiation is beneficial. Whether a tailored EHR alert could increase rates of GDMT prescription at discharge in eligible hospitalized AHF patients required evaluation.
Does a tailored electronic health record alert increase the number of guideline-directed medical therapy prescriptions at discharge in patients hospitalized for acute heart failure?
RCT (n=1,012)
Randomized
Yes
Does a tailored electronic health record alert increase the number of guideline-directed medical therapy prescriptions at discharge in patients hospitalized for acute heart failure?
Answers are grounded in this paper and cite their sources.
A real-time tailored EHR alert system during hospitalization for acute heart failure failed to increase overall GDMT prescriptions at discharge, although it modestly increased MRA prescribing.
BACKGROUND AND AIMS: Patients hospitalized for acute heart failure (AHF) continue to be discharged on an inadequate number of guideline-directed medical therapies (GDMT) despite evidence that inpatient initiation is beneficial. This study aimed to examine whether a tailored electronic health record (EHR) alert increased rates of GDMT prescription at discharge in eligible patients hospitalized for AHF. METHODS: Pragmatic trial of messaging to providers about treatment of acute heart failure (PROMPT-AHF) was a pragmatic, multicenter, EHR-based, and randomized clinical trial. Patients were automatically enrolled 48 h after admission if they met pre-specified criteria for an AHF hospitalization. Providers of patients in the intervention arm received an alert during order entry with relevant patient characteristics along with individualized GDMT recommendations with links to an order set. The primary outcome was an increase in the number of GDMT prescriptions at discharge. RESULTS: Thousand and twelve patients were enrolled between May 2021 and November 2022. The median age was 74 years; 26% were female, and 24% were Black. At the time of the alert, 85% of patients were on β-blockers, 55% on angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, 20% on mineralocorticoid receptor antagonist (MRA) and 17% on sodium-glucose cotransporter 2 inhibitor. The primary outcome occurred in 34% of both the alert and no alert groups [adjusted risk ratio (RR): 0.95 (0.81, 1.12), P = .99]. Patients randomized to the alert arm were more likely to have an increase in MRA [adjusted RR: 1.54 (1.10, 2.16), P = .01]. At the time of discharge, 11.2% of patients were on all four pillars of GDMT. CONCLUSIONS: A real-time, targeted, and tailored EHR-based alert system for AHF did not lead to a higher number of overall GDMT prescriptions at discharge. Further refinement and improvement of such alerts and changes to clinician incentives are needed to overcome barriers to the implementation of GDMT during hospitalizations for AHF. GDMT remains suboptimal in this setting, with only one in nine patients being discharged on a comprehensive evidence-based regimen for heart failure.
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Ghazi et al. (2023) conducted an RCT in Acute heart failure (AHF) with reduced ejection fraction (n=1,012). Tailored electronic health record (EHR) alert during order entry with patient characteristics and individualized GDMT recommendations linked to an order set vs. No alert (usual care) was evaluated on Increase in the number of guideline-directed medical therapy (GDMT) prescriptions at discharge (RR 0.95, 95% CI 0.81-1.12, p=0.99). Tailored EHR alerts did not increase overall GDMT prescriptions at discharge compared with no alert in hospitalized AHF patients (34% vs 34%; adjusted RR 0.95; 95% CI 0.81-1.12; P=0.99).
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