Development and implementation of a mobile device-based pediatric electronic decision support tool as part of a national practice standardization project.
J Am Med Inform Assoc
; 25(9): 1175-1182, 2018 09 01.
Article
in En
| MEDLINE
| ID: mdl-29889255
Objective: Implementing evidence-based practices requires a multi-faceted approach. Electronic clinical decision support (ECDS) tools may encourage evidence-based practice adoption. However, data regarding the role of mobile ECDS tools in pediatrics is scant. Our objective is to describe the development, distribution, and usage patterns of a smartphone-based ECDS tool within a national practice standardization project. Materials and Methods: We developed a smartphone-based ECDS tool for use in the American Academy of Pediatrics, Value in Inpatient Pediatrics Network project entitled "Reducing Excessive Variation in the Infant Sepsis Evaluation (REVISE)." The mobile application (app), PedsGuide, was developed using evidence-based recommendations created by an interdisciplinary panel. App workflow and content were aligned with clinical benchmarks; app interface was adjusted after usability heuristic review. Usage patterns were measured using Google Analytics. Results: Overall, 3805 users across the United States downloaded PedsGuide from December 1, 2016, to July 31, 2017, leading to 14 256 use sessions (average 3.75 sessions per user). Users engaged in 60 442 screen views, including 37 424 (61.8%) screen views that displayed content related to the REVISE clinical practice benchmarks, including hospital admission appropriateness (26.8%), length of hospitalization (14.6%), and diagnostic testing recommendations (17.0%). Median user touch depth was 5 [IQR 5]. Discussion: We observed rapid dissemination and in-depth engagement with PedsGuide, demonstrating feasibility for using smartphone-based ECDS tools within national practice improvement projects. Conclusions: ECDS tools may prove valuable in future national practice standardization initiatives. Work should next focus on developing robust analytics to determine ECDS tools' impact on medical decision making, clinical practice, and health outcomes.
Full text:
1
Database:
MEDLINE
Main subject:
Pediatrics
/
Guideline Adherence
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Decision Support Systems, Clinical
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Mobile Applications
Type of study:
Diagnostic_studies
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Guideline
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Prognostic_studies
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Qualitative_research
Limits:
Humans
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Infant
Country/Region as subject:
America do norte
Language:
En
Journal:
J Am Med Inform Assoc
Journal subject:
INFORMATICA MEDICA
Year:
2018
Type:
Article
Affiliation country:
United States