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Erschienen in: Journal of General Internal Medicine 2/2020

01.09.2020 | Original Research

Impact of Clinical Decision Support on Antibiotic Prescribing for Acute Respiratory Infections: a Cluster Randomized Implementation Trial

verfasst von: Devin Mann, MD, MS, Rachel Hess, MD, Thomas McGinn, MD, Safiya Richardson, MD, Simon Jones, PhD, Joseph Palmisano, MA, MPH, Sara Kuppin Chokshi, DrPH, Rebecca Mishuris, MD, MPH, Lauren McCullagh, MPH, Linda Park, PhD, Catherine Dinh-Le, MPH, Paul Smith, MD, David Feldstein, MD

Erschienen in: Journal of General Internal Medicine | Sonderheft 2/2020

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Abstract

Background

Clinical decision support (CDS) is a promising tool for reducing antibiotic prescribing for acute respiratory infections (ARIs).

Objective

To assess the impact of previously effective CDS on antibiotic-prescribing rates for ARIs when adapted and implemented in diverse primary care settings.

Design

Cluster randomized clinical trial (RCT) implementing a CDS tool designed to guide evidence-based evaluation and treatment of streptococcal pharyngitis and pneumonia.

Setting

Two large academic health system primary care networks with a mix of providers.

Participants

All primary care practices within each health system were invited. All providers within participating clinic were considered a participant. Practices were randomized selection to a control or intervention group.

Interventions

Intervention practice providers had access to an integrated clinical prediction rule (iCPR) system designed to determine the risk of bacterial infection from reason for visit of sore throat, cough, or upper respiratory infection and guide evidence-based evaluation and treatment.

Main Outcome(s)

Change in overall antibiotic prescription rates.

Measure(s)

Frequency, rates, and type of antibiotics prescribed in intervention and controls groups.

Results

33 primary care practices participated with 541 providers and 100,573 patient visits. Intervention providers completed the tool in 6.9% of eligible visits. Antibiotics were prescribed in 35% and 36% of intervention and control visits, respectively, showing no statistically significant difference. There were also no differences in rates of orders for rapid streptococcal tests (RR, 0.94; P = 0.11) or chest X-rays (RR, 1.01; P = 0.999) between groups.

Conclusions

The iCPR tool was not effective in reducing antibiotic prescription rates for upper respiratory infections in diverse primary care settings. This has implications for the generalizability of CDS tools as they are adapted to heterogeneous clinical contexts.

Trial Registration

Clinicaltrials.gov (NCT02534987). Registered August 26, 2015 at https://clinicaltrials.gov
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Metadaten
Titel
Impact of Clinical Decision Support on Antibiotic Prescribing for Acute Respiratory Infections: a Cluster Randomized Implementation Trial
verfasst von
Devin Mann, MD, MS
Rachel Hess, MD
Thomas McGinn, MD
Safiya Richardson, MD
Simon Jones, PhD
Joseph Palmisano, MA, MPH
Sara Kuppin Chokshi, DrPH
Rebecca Mishuris, MD, MPH
Lauren McCullagh, MPH
Linda Park, PhD
Catherine Dinh-Le, MPH
Paul Smith, MD
David Feldstein, MD
Publikationsdatum
01.09.2020
Verlag
Springer International Publishing
Erschienen in
Journal of General Internal Medicine / Ausgabe Sonderheft 2/2020
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-020-06096-3

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