Peer Feedback Reduces Chest Pain Admissions Among High-Admitting Clinicians
Individualized performance data combined with protocols lowered admission rates by up to 14.3 percent for high-utilizing physicians.
For Doctors in a Hurry
Researchers investigated whether adding peer feedback to standard protocols could safely reduce avoidable emergency department admissions for chest pain.
This difference-in-difference analysis evaluated 368,730 chest pain visits across 38 intervention and 70 control emergency departments.
High-admitting clinicians saw relative admission declines of 14.3 percent in state A and 5.6 percent in state B.
The authors concluded that peer feedback effectively reduces chest pain admissions specifically among clinicians with high baseline admission rates.
Implementing similar feedback programs could potentially prevent four avoidable admissions for every 100 emergency department chest pain visits.
Mitigating the Burden of Emergency Department Crowding in Chest Pain Management
Emergency department crowding remains a critical healthcare challenge directly linked to poorer patient outcomes and a diminished ability for staff to adhere to established clinical guidelines [1]. Chest pain is a primary driver of these presentations, requiring clinicians to navigate complex diagnostic pathways to differentiate between benign symptoms and acute coronary syndromes [2, 3]. While international guidelines provide a framework for managing myocardial infarction and unstable angina, the individual responsibility of the physician to exercise clinical judgment often leads to significant variability in admission practices [4, 5, 6]. This variability frequently results in the hospitalization of low-risk patients, further straining hospital resources and exacerbating the systemic mismatch between patient volume and available flow solutions [1]. To address this bottleneck, a multi-center study involving 368,730 patient visits investigated whether integrating peer feedback into standard education and protocols can effectively modify these admission patterns [7].
A Multi-State Comparison of Peer Feedback and Standard Protocols
The researchers conducted a comprehensive data analysis spanning from August 1, 2020, to December 31, 2022, to evaluate the impact of peer feedback on clinical decision-making. The study included a substantial sample of 368,730 emergency department visits for chest pain, providing a robust dataset to examine how individualized performance data influences admission rates. In July 2021, the intervention launched across 38 sites, consisting of 16 emergency departments in a Mountain-region state (state A) and 22 emergency departments in a Southwestern state (state B). These intervention sites implemented a multifaceted program that combined standardized clinical protocols and staff education with the addition of peer feedback. This feedback provided clinicians with direct data on their personal admission rates relative to their colleagues. To isolate the specific effect of the peer feedback component, the researchers compared these 38 sites against a control group of 70 emergency departments that utilized clinical protocols and education alone. The study employed difference-in-difference analyses, a statistical method that compares the changes in outcomes over time between an intervention group and a control group to account for broader temporal trends in healthcare utilization. By measuring the shift in admission patterns from the pre-intervention period to the post-July 2021 period, the analysis sought to determine if the transparency provided by peer data could safely reduce avoidable hospitalizations for patients presenting with chest pain.
Targeted Impact on High-Admitting Clinician Behavior
When examining the entire study population of 368,730 visits, the researchers found that peer feedback was not associated with a significant overall relative improvement in emergency department admission rates for chest pain. This suggests that for the average clinician, adding performance data to existing clinical protocols and education did not substantially alter disposition decisions beyond the effects of the protocols themselves. However, a more granular analysis revealed that the intervention had a concentrated effect on a specific subset of the workforce. Among clinicians identified as baseline high-admitters (those with higher-than-average admission rates prior to the study), the addition of peer feedback was specifically associated with reduced admissions for chest pain. In state A, chest pain admissions among these high-admitting clinicians declined by 14.3% (95% confidence interval, -21.7% to -6.9%) relative to high-admitting clinicians in the control states. A similar, though less pronounced, trend was observed in state B, where admissions among baseline high-admitting clinicians declined by 5.6% (95% confidence interval, -10.5% to -0.8%) compared to their counterparts in the control group. These findings indicate that while peer feedback may not shift behavior across an entire department, it serves as an effective tool for addressing practice variation among outliers. By identifying and providing targeted data to those with the highest utilization rates, health systems can achieve significant reductions in hospitalizations.
Quantifying Potential Reductions in Avoidable Hospitalizations
The clinical relevance of these findings lies in the potential for significant resource preservation within overburdened healthcare systems. By narrowing the gap in practice variability, peer feedback allows health systems to address the high costs and risks associated with unnecessary hospitalizations without compromising patient safety. The data suggest that the intervention does not merely provide information but acts as a corrective mechanism for clinicians whose admission patterns deviate significantly from established norms. This targeted approach ensures that hospital beds and diagnostic resources remain available for patients with the highest clinical need, thereby improving the overall efficiency of emergency department operations. To illustrate the broader impact of this intervention, the researchers calculated the potential for systemic change if the most successful model were implemented more widely. They estimate that 4 admissions in every 100 chest pain visits could have been avoided if the peer feedback program had the same effect in the control emergency departments as it did in state A. This projection underscores the substantial cumulative effect that individualized performance data can have on hospital utilization. Ultimately, the study demonstrates that peer feedback is an effective tool for narrowing the gap in practice variability among high-utilizing physicians, providing a scalable strategy to optimize disposition decisions in the acute care setting.
