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The Use of a Computerized Provider Order Entry Alert to Decrease Rates of Clostridium difficile Testing in Young
Maribeth R Nicholson1, Peter N Freswick2, M Cecilia Di Pentima3
11Division of Pediatric Gastroenterology,Hepatology,and Nutrition,Vanderbilt University Medical Center,Nashville,Tennessee.
Insights
A computerized provider order entry (CPOE) alert significantly reduced Clostridioides difficile (C. difficile) testing in young children. This intervention decreased unnecessary C. difficile testing without any complications in infants and toddlers.
Area of Science:
- Infectious Disease Epidemiology
- Clinical Informatics
- Pediatric Healthcare
Background:
- Infants and young children are often colonized with Clostridioides difficile (C. difficile) but rarely develop symptomatic illness.
- Despite low disease prevalence, C. difficile testing is common in pediatric populations.
- Over-testing contributes to healthcare costs and potential for misdiagnosis.
Purpose of the Study:
- To implement and evaluate a computerized provider order entry (CPOE) alert to reduce C. difficile testing in infants and young children.
- To align C. difficile diagnostic practices with American Academy of Pediatrics recommendations.
- To assess the impact of the CPOE alert on testing rates and patient outcomes.
Main Methods:
- An interventional, age-targeted before-and-after trial was conducted.
- A CPOE alert was implemented, advising against C. difficile testing in children under 36 months, with an optional override.
- Educational seminars were provided to healthcare providers regarding appropriate C. difficile testing guidelines.
Main Results:
- The monthly C. difficile testing rate decreased significantly for children aged 0-11 months (11.5 to 0 per 10,000 patient-days) and 12-35 months (61.6 to 30.1 per 10,000 patient-days).
- No significant change in testing rates was observed for children aged 36 months and older, who were not targeted by the alert.
- No complications were reported in children who tested positive for C. difficile.
Conclusions:
- A CPOE alert effectively reduced C. difficile testing rates in children under 35 months old.
- The intervention demonstrated a significant decrease in unnecessary diagnostic procedures without adverse events.
- CPOE alerts are a valuable tool for optimizing C. difficile testing strategies in pediatric settings.
Abstract:
BACKGROUND Infants and young children are frequently colonized with C. difficile but rarely have symptomatic disease. However, C. difficile testing remains prevalent in this age group. OBJECTIVE To design a computerized provider order entry (CPOE) alert to decrease testing for C. difficile in young children and infants. DESIGN An interventional age-targeted before-after trial with comparison group SETTING Monroe Carell Jr. Children's Hospital at Vanderbilt University, Nashville, Tennessee. PATIENTS All children seen in the inpatient or emergency room settings from July 2012 through July 2013 (pre-CPOE alert) and September 2013 through September 2014 (post-CPOE alert) INTERVENTION In August of 2013, we implemented a CPOE alert advising against testing in infants and young children based on the American Academy of Pediatrics recommendations with an optional override. We further offered healthcare providers educational seminars regarding recommended C. difficile testing. RESULTS The average monthly testing rate significantly decreased after the CPOE alert for children 0-11 months old (11.5 pre-alert vs 0 post-alert per 10,000 patient days; P<.001) and 12-35 months old (61.6 pre-alert vs 30.1 post-alert per 10,000 patients days; P<.001), but not for those children ≥36 months old (50.9 pre-alert vs 46.4 post-alert per 10,000 patient days; P=.3) who were not targeted with a CPOE alert. There were no complications in those children who testing positive for C. difficile. CONCLUSIONS The average monthly testing rate for C. difficile for children <35 months old decreased without complication after the use of a CPOE alert in those who tested positive for C. difficile. Infect Control Hosp Epidemiol 2017;38:542-546.
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