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Default Antibiotic Order Durations for Skin and Soft Tissue Infections in Outpatient Pediatrics: A Cluster Randomized
Kali A Broussard1, Juan D Chaparro2, Guliz Erdem3
1Division of Pediatrics, Franciscan Missionaries of Our Lady Health System, Lafayette, Los Angeles, USA.
Insights
A study on electronic health record order panels for skin infections found they did not significantly reduce long antibiotic prescriptions. However, when used, the panels did lead to guideline-concordant antibiotic durations for skin and soft tissue infections.
Area of Science:
- Infectious Diseases
- Health Informatics
- Pediatric Primary Care
Background:
- Antibiotic prescribing for uncomplicated skin and soft tissue infections (SSTI) frequently exceeds guideline-recommended durations.
- Reducing prolonged antibiotic use is crucial for antimicrobial stewardship.
Purpose of the Study:
- To evaluate the effectiveness of an Electronic Health Record (EHR) default duration order panel in decreasing long antibiotic prescriptions for SSTIs.
- To assess the impact of decision support on antibiotic prescribing patterns in pediatric primary care.
Main Methods:
- A cluster randomized trial compared an SSTI order panel with default durations to a control panel without decision support in 14 pediatric clinics.
- Prescription data were analyzed for 23 months pre-implementation and 12 months post-implementation (January 2020 - December 2022).
- Long antibiotic prescriptions were defined based on specific SSTI types and durations exceeding 5 or 7 days.
Main Results:
- The intervention panel did not significantly reduce the overall rate of long antibiotic prescriptions compared to the control group.
- In the intervention group, the long prescription rate decreased from 63.8% to 54.6%, while in the control group, it decreased from 70.0% to 54.9%.
- Prescriptions ordered through the intervention panel showed lower odds of being long (OR 0.18), despite limited uptake (29.4% of eligible encounters).
Conclusions:
- The EHR order panel with default durations did not demonstrate an overall reduction in long antibiotic prescriptions for SSTIs.
- When the intervention panel was utilized, antibiotic prescriptions were more likely to be guideline-concordant.
- Further development of automatic default duration selection is needed to effectively decrease prolonged antibiotic prescribing.
Background:
Antibiotic durations for uncomplicated skin/soft tissue infections (SSTI) often exceed the guideline-recommended 5-7 days. We assessed the effectiveness of a default duration order panel in the Electronic Health Record to reduce long prescriptions.
Methods:
Cluster randomized trial of an SSTI order panel with default antibiotic durations (implemented 12/2021), compared to a control panel (no decision support) in 14 pediatric primary care clinics. We assessed long prescription rates from 23 months before to 12 months after order panel implementation (1/2020-12/2022). Antibiotic duration was considered long if >5 days for cellulitis or drained abscess, or >7 days for undrained abscess, impetigo, or other SSTI.
Results:
We included 1123 and 511 encounters in intervention and control clinics, respectively. In a piecewise generalized linear model, the long prescription rate decreased from 63.8% to 54.6% (absolute difference, -9.2%) in the intervention group and from 70.0% to 54.9% (absolute difference, -15.1%) in the control group. The relative change in trajectories from pre-panel to post-panel periods did not differ significantly between intervention and control groups (P = .488). Although used in only 29.4% of eligible encounters, intervention panel use had lower odds of long prescription compared to all other prescriptions (odds ratio 0.18).
Conclusions:
We did not detect an overall impact of an order panel with default durations in reducing long antibiotic prescriptions for SSTIs. When ordered from the intervention panel, prescriptions were usually guideline-concordant. Effective strategies to make choosing a default duration more automatic are necessary to further reduce long prescriptions.
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