This study evaluates the effects of a novel integrated clinical prediction tool on antibiotic prescription patterns of nurses for acute respiratory infections (ARIs). The intervention is an EHR-integrated risk calculator and order set to help guide appropriate, evidence-based antibiotic prescriptions for patients presenting with ARI symptoms.
The proposed project will fill a critical gap in the evidence base and answer the important question: can pivoting ARI CDS tools towards nurses overcome established implementation barriers to reducing antibiotic use? The proposal is highly innovative in three ways: It uses CDS tools to embed evidence-based risk stratification to enable nurse-led ARI management. It creates a nurse training program to support this nurse-led ARI treatment pathway. It will be evaluated and optimized using evidence-based implementation frameworks that will guide assessment of the fidelity, acceptability, adoption, cost, and sustainability of the tool. This will provide comprehensive implementation measures, formative and summative, and enable a rigorous understanding of barriers and facilitators to implementing nurse-led CDS tools for reducing antibiotic overprescribing. This study will provide much needed guidance on how to implement CDS-enabled, nurse-led ARI assessment and treatment to reduce antibiotic overprescribing.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
347
The iCPR tool consists of an electronic calculator that can be used to determine whether the patient is at low, intermediate or high risk for having the diagnosis and a bundled order set (called a "Smartset"). The iCPR tool will be made available directly within the Electronic Health Record (EHR) for Registered Nurses (RNs) who are seeing patients fall into the study categories. The iCPR tool through the use of order sets will guide the RN in the patient's care. The order set for patients at low risk for these diseases will recommend supportive care including over the counter cold remedies and pain relievers. The order set for patients at intermediate or high risk of these disease will recommend diagnostic tests (rapid strep antigen or CXR) to help determine if they have the disease. Based on the results of the diagnostic tests new order sets will recommend antibiotics or supportive care
NYU Langone Health
New York, New York, United States
University of Utah School of Medicine
Salt Lake City, Utah, United States
University of Wisconsin
Madison, Wisconsin, United States
Number of Participants Who Perceive the iCPR Tool as Useful.
Participants will be interviewed to measure the usefulness of the iCPR tool in prescribing appropriate antibiotics.
Time frame: Month 6
Change in proportion of Acute Respiratory Infection (ARI) encounters with inappropriate antibiotic prescribing
The number of Acute Respiratory Infection (ARI) encounters with inappropriate antibiotic prescription will be measured pre and post-intervention using EHR reports assessing ordering of antibiotics
Time frame: Baseline, Month 36
Change in Job Satisfaction of RNs and physicians
Job satisfaction/ burnout of the RNs and physicians in enrolled clinics will be measured qualitatively with interviews at baseline, 6, and 12 months after implementation
Time frame: Baseline, Month 6
Change in Job Satisfaction of RNs and physicians
Job satisfaction/ burnout of the RNs and physicians in enrolled clinics will be measured qualitatively with interviews at baseline, 6, and 12 months after implementation
Time frame: Month 6, Month 12
Number of nurse triage encounters completed
Adoption of using iCPR tool will be measured by the number of nurse triage encounters completed through extracted EHR data.
Time frame: Week 2
Number of patients requiring repeat healthcare visits
Adoption of using iCPR tool will be measured by the number of patients requiring repeat healthcare visits through extracted EHR data.
Time frame: week 2
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