Trial reportImplementation science : IS2017
Design and implementation of electronic health record integrated clinical prediction rules (iCPR): a randomized trial in diverse primary care settings.
Trial report in Implementation science : IS, 2017. 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 23 papers.
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.
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.
Integrated Clinical Prediction Rules: Bringing Evidence to Diverse Primary Care Settings
Who cites it
23 citing papers in PubMed, 35 citations in OpenAlex.
- Impact of Clinical Decision Support on Antibiotic Prescribing for Acute Respiratory Infections: a Cluster Randomized Implementation Trial.Journal of general internal medicine · 2020Trial
- Using normalisation process theory to understand workflow implications of decision support implementation across diverse primary care settings.BMJ health & care informatics · 2019Trial
- Impact of a diagnostic strategy for appendicitis in children with acute abdominal pain in primary care: study protocol for a hybrid type 1 cluster randomised controlled trial.Diagnostic and prognostic research · 2026Review
- Barriers and Enablers for Sustaining Nurse-Led Use of Clinical Decision Support Tools for Antibiotic Stewardship: Qualitative Study.JMIR nursing · 2026Article
- Nursing Performance Using Clinical Prediction Rules for Acute Respiratory Infection Management: A Case-Based Simulation.Applied clinical informatics · 2025Article
- 21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework.BMC medical informatics and decision making · 2023Review
- Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study.JMIR formative research · 2023Article
- Real-world implementation of precision psychiatry: Transdiagnostic risk calculator for the automatic detection of individuals at-risk of psychosis.Schizophrenia research · 2021Article
- Derivation of a Risk Assessment Tool for Prediction of Long-Term Pain Intensity Reduction After Physical Therapy.Journal of pain research · 2021Article
- Engaging stakeholders in the adaptation of theImplementation science communications · 2020Article
- Risk Prediction in Clinical Practice: A Practical Guide for Cardiothoracic Surgeons.The Annals of thoracic surgery · 2019Article
- Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support.BMC medical informatics and decision making · 2019Review
- User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module.Studies in health technology and informatics · 2019Article
- Live Usability Testing of Two Complex Clinical Decision Support Tools: Observational Study.JMIR human factors · 2019Article
- Practical and Conceptual Considerations for the Primary Prevention of Asthma.Clinics in chest medicine · 2019Review
- Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature.Diagnostic and prognostic research · 2019Review
- Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module.Pilot and feasibility studies · 2019Article
- THE HIGH COST OF LOW VALUE CARE.Transactions of the American Clinical and Climatological Association · 2019Article
- Innovating From Within: A Process Model for User-Centered Digital Development in Academic Medical Centers.JMIR human factors · 2018Article
- Bridging the Gap Between Academic Research and Pragmatic Needs in Usability: A Hybrid Approach to Usability Evaluation of Health Care Information Systems.JMIR human factors · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundClinical prediction rules (CPRs) represent a method of determining individual patient risk to help providers make more accurate decisions at the point of care. Well-validated CPRs are underutilized but may decrease antibiotic overuse for acute respiratory infections. The integrated clinical prediction rules (iCPR) study builds on a previous single clinic study to integrate two CPRs into the electronic health record and assess their impact on practice. This article discusses study design and implementation of a multicenter cluster randomized control trial of the iCPR clinical decision support system, including the tool adaptation, usability testing, staff training, and implementation study to disseminate iCPR at multiple clinical sites across two health care systems.
methodsThe iCPR tool is based on two well-validated CPRs, one for strep pharyngitis and one for pneumonia. The iCPR tool uses the reason for visit to trigger a risk calculator. Provider completion of the risk calculator provides a risk score, which is linked to an order set. Order sets guide evidence-based care and include progress note documentation, tests, prescription medications, and patient instructions. The iCPR tool was refined based on interviews with providers, medical assistants, and clinic managers, and two rounds of usability testing. "Near live" usability testing with simulated patients was used to ensure that iCPR fit into providers' clinical workflows. Thirty-three Family Medicine and General Internal Medicine primary care clinics were recruited at two institutions. Clinics were randomized to academic detailing about strep pharyngitis and pneumonia diagnosis and treatment (control) or academic detailing plus use of the iCPR tool (intervention). The primary outcome is the difference in antibiotic prescribing rates between the intervention and control groups with secondary outcomes of difference in rapid strep and chest x-ray ordering. Use of the components of the iCPR will also be assessed. DISCUSSION: The iCPR study uses a strong user-centered design and builds on the previous initial study, to assess whether CPRs integrated in the electronic health record can change provider behavior and improve evidence-based care in a broad range of primary care clinics.
trial registrationClinicaltrials.gov ( NCT02534987 ).
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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.