Evidence map›Paper›PMID 38781006›Full record

ArticleJMIR formative research2024

Barriers to Implementing Registered Nurse-Driven Clinical Decision Support for Antibiotic Stewardship: Retrospective Case Study.

Elizabeth R Stevens, Lynn Xu, JaeEun Kwon, Sumaiya Tasneem, Natalie Henning, Dawn Feldthouse, Eun Ji Kim, Rachel Hess, Katherine L Dauber-Decker, Paul D Smith and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04255303 (Decreasing Antibiotic Prescribing in Acute Respiratory Infections Through Implementation of Nurse Driven Clinical Decision Support), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

NCT04255303 nacompletednot on this map

Decreasing Antibiotic Prescribing in Acute Respiratory Infections Through Implementation of Nurse Driven Clinical Decision Support

TypeinterventionalSponsorNYU Langone HealthRan2022 to 2025Enrolled347ConditionsAcute Respiratory InfectionArmsIntegrated clinical prediction rule (iCPR) system (iCPR)
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Elizabeth R StevensDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0001-6063-1523
Lynn XuDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0009-0009-8586-9955
JaeEun KwonDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0009-0009-6649-9733
Sumaiya TasneemDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0001-5721-1819
Natalie HenningDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0009-0004-4302-9476
Dawn FeldthouseDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-9722-7310
Eun Ji KimNorthwell, New Hyde Park, NY, United States.ORCID https://orcid.org/0000-0002-4087-5261
Rachel HessDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-2545-8504
Katherine L Dauber-DeckerNorthwell, New Hyde Park, NY, United States.ORCID https://orcid.org/0000-0002-0498-8779
Paul D SmithDepartment of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID https://orcid.org/0000-0002-2573-3847
Wendy HalmDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID https://orcid.org/0009-0007-4095-1598
Pranisha Gautam-GoyalNorthwell, New Hyde Park, NY, United States.ORCID https://orcid.org/0000-0002-9857-1826
David A FeldsteinDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID https://orcid.org/0000-0002-7287-6816
Devin M MannDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-2099-0852

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
NIAID NIH HHS R01 AI108680
6 · The paper itself

Abstract

backgroundUp to 50% of antibiotic prescriptions for upper respiratory infections (URIs) are inappropriate. Clinical decision support (CDS) systems to mitigate unnecessary antibiotic prescriptions have been implemented into electronic health records, but their use by providers has been limited.

objectiveAs a delegation protocol, we adapted a validated electronic health record-integrated clinical prediction rule (iCPR) CDS-based intervention for registered nurses (RNs), consisting of triage to identify patients with low-acuity URI followed by CDS-guided RN visits. It was implemented in February 2022 as a randomized controlled stepped-wedge trial in 43 primary and urgent care practices within 4 academic health systems in New York, Wisconsin, and Utah. While issues were pragmatically addressed as they arose, a systematic assessment of the barriers to implementation is needed to better understand and address these barriers.

methodsWe performed a retrospective case study, collecting quantitative and qualitative data regarding clinical workflows and triage-template use from expert interviews, study surveys, routine check-ins with practice personnel, and chart reviews over the first year of implementation of the iCPR intervention. Guided by the updated CFIR (Consolidated Framework for Implementation Research), we characterized the initial barriers to implementing a URI iCPR intervention for RNs in ambulatory care. CFIR constructs were coded as missing, neutral, weak, or strong implementation factors.

resultsBarriers were identified within all implementation domains. The strongest barriers were found in the outer setting, with those factors trickling down to impact the inner setting. Local conditions driven by COVID-19 served as one of the strongest barriers, impacting attitudes among practice staff and ultimately contributing to a work infrastructure characterized by staff changes, RN shortages and turnover, and competing responsibilities. Policies and laws regarding scope of practice of RNs varied by state and institutional application of those laws, with some allowing more clinical autonomy for RNs. This necessitated different study procedures at each study site to meet practice requirements, increasing innovation complexity. Similarly, institutional policies led to varying levels of compatibility with existing triage, rooming, and documentation workflows. These workflow conflicts were compounded by limited available resources, as well as an implementation climate of optional participation, few participation incentives, and thus low relative priority compared to other clinical duties.

conclusionsBoth between and within health care systems, significant variability existed in workflows for patient intake and triage. Even in a relatively straightforward clinical workflow, workflow and cultural differences appreciably impacted intervention adoption. Takeaways from this study can be applied to other RN delegation protocol implementations of new and innovative CDS tools within existing workflows to support integration and improve uptake. When implementing a system-wide clinical care intervention, considerations must be made for variability in culture and workflows at the state, health system, practice, and individual levels.

trial registrationClinicalTrials.gov NCT04255303; https://clinicaltrials.gov/ct2/show/NCT04255303.

Indexed as

acute respiratory infectionacute respiratory infectionsantibioticantibioticsantibiotic stewardshipbarrierbarriersCDSCDS-based interventionCFIRchart reviewclinical-care settingclinical decision supportclinical settingConsolidated Framework for Implementation Researchdecision supporteffectivenessEHRelectronic health recordelectronic health recordshealth systemimplementationinfrastructureinfrastructuresintegrated clinical prediction rulesinterviewinterviewslawlawsNew Yorknursenursespersonnel availabilitypoliciespolicyprescribeprescriptionregistered nurseresearcherresearchersretrospective analysisRNRN-drivenRN-driven interventionRN shortageRN shortagesstaff changestaff changesturnoverurgent careworkflow variability

Identifiers

PMID38781006
PMCPMC11157178

What OpenQuestion holds

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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.