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Evaluating the impact of incorporating clinical practice guidelines for the management of infectious diseases into an electronic application (e-app). | LitMetric

Objectives: To improve dissemination and accessibility of guidelines to healthcare providers at our institution, guidance for infectious syndromes was incorporated into an electronic application (e-app). The objective of this study was to compare empiric antimicrobial prescribing before and after implementation of the e-app.

Design: This study was a before-and-after trial.

Setting: A tertiary-care, public hospital in Halifax, Canada.

Participants: This study included pediatric patients admitted to hospital who were empirically prescribed an antibiotic for an infectious syndrome listed in the e-app.

Methods: Data were collected from medical records. Prescribing was independently assessed considering patient-specific characteristics using a standardized checklist by 2 members of the research team. Assessments of antimicrobial prescribing were compared, and discrepancies were resolved through discussion. Empiric antimicrobial prescribing before and after implementation of the e-app was compared using interrupted time-series analysis.

Results: In total, 237 patients were included in the preimplementation arm and 243 patients were included in the postimplementation arm. Pneumonia (23.8%), appendicitis (19.2%), and sepsis (15.2%) were the most common indications for antimicrobial use. Empiric antimicrobial use was considered optimal in 195 (81.9%) of 238 patients before implementation compared to 226 (93.0%) 243 patients after implementation. An immediate 15.5% improvement ( = .019) in optimal antimicrobial prescribing was observed following the implementation of the e-app.

Conclusions: Empiric antimicrobial prescribing for pediatric patients with infectious syndromes improved after implementation of an e-app for dissemination of clinical practice guidelines. The use of e-apps may also be an effective strategy to improve antimicrobial use in other patient populations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507496PMC
http://dx.doi.org/10.1017/ice.2022.286DOI Listing

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