Evidence Based Decision Making: Integrating Clinical Prediction Rules
NCT01386047 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 168
Last updated 2012-10-04
Summary
Clinical prediction rules (CPRs) are frontline decision aids that help physicians make evidence-based, cost-effective decisions that benefit their patients. The aims of this project are to incorporate two well validated CPRs (Streptococcal Pharyngitis Prediction Rule and the Pneumonia Clinical Prediction Rule) into an outpatient Electronic Medical Record System (EMR) and to perform a randomized controlled trial of the effectiveness of integrated CPRs impact on doctor's behaviors (e.g. test ordering and medication prescribing).
Conditions
- Strep Pharyngitis
- Pneumonia
Interventions
- OTHER
-
Integrated Clinical Prediction Rule (iCPR)
Integrated clinical prediction rule for Strep Pharyngitis based on Walsh clinical prediction rule (CPR) criteria and rule for Pneumonia based on Hecklering CPR criteria.
Sponsors & Collaborators
-
Icahn School of Medicine at Mount Sinai
collaborator OTHER -
Agency for Healthcare Research and Quality (AHRQ)
collaborator FED -
Northwell Health
lead OTHER
Principal Investigators
-
Thomas M McGinn, MD, MPH · Northwell Health
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2010-08-31
- Primary Completion
- 2012-01-31
- Completion
- 2012-07-31
Countries
- United States
Study Locations
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