Evidence map›Paper›PMID 32875505›Full record

Trial reportJournal of general internal medicine2020

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

Devin Mann, Rachel Hess, Thomas McGinn, Safiya Richardson, Simon Jones, Joseph Palmisano, Sara Kuppin Chokshi, Rebecca Mishuris, Lauren McCullagh, Linda Park and 3 more

Registry-linked trialOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02534987 (Integrated Clinical Prediction Rules), which is not on this map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
1.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02534987 nacompletednot on this map

Integrated Clinical Prediction Rules: Bringing Evidence to Diverse Primary Care Settings

TypeinterventionalSponsorNYU Langone HealthRan2015 to 2018Enrolled33ConditionsStrep Throat, PneumoniaArmsiCPR2
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Devin MannNew York University School of Medicine, New York, NY, USA. Devin.Mann@nyulangone.org.ORCID 0000-0002-2099-0852
Rachel HessUniversity of Utah School of Medicine, Salt Lake City, UT, USA.
Thomas McGinnHofstra Northwell School of Medicine, New York, NY, USA.
Safiya RichardsonHofstra Northwell School of Medicine, New York, NY, USA.
Simon JonesNew York University School of Medicine, New York, NY, USA.
Joseph PalmisanoBoston University, Boston, MA, USA.
Sara Kuppin ChokshiNew York University School of Medicine, New York, NY, USA.
Rebecca MishurisBoston University, Boston, MA, USA.
Lauren McCullaghHofstra Northwell School of Medicine, New York, NY, USA.
Linda ParkUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Catherine Dinh-LeNew York University School of Medicine, New York, NY, USA.
Paul SmithUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
David FeldsteinUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
New York University · USHofstra University · USUniversity of Wisconsin–Madison · USUniversity of Utah · US

Funding

Integrated Clinical Prediction Rules: Bringing Evidence to Diverse Primary Care SettingsR01AI108680 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FELDSTEIN, DAVID ALAN, MANN, DEVIN M · 2014 to 2024
$7.9M
Nudging Provider Adoption of Clinical Decision SupportK23HL145114 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RICHARDSON, SAFIYA · 2019 to 2023
$863k
NHLBI NIH HHS K23 HL145114NIAID NIH HHS R01 AI108680NIAID NIH HHS R01AI108680
6 · The paper itself

Abstract

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

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

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

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

participantsAll 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.

interventionsIntervention 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.

results33 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.

conclusionsThe 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 registrationClinicaltrials.gov (NCT02534987). Registered August 26, 2015 at https://clinicaltrials.gov.

Indexed as

Decision Support Systems, ClinicalRespiratory Tract InfectionsAnti-Bacterial AgentsHumansPractice Patterns, Physicians'Primary Health CareAnti-Bacterial Agentsclinical decision supporthealth informaticsprovider adoptionusabilityuser-centered design

Identifiers

PMID32875505
PMCPMC7652959
OpenAlexW3081646668

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.