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Comparison of Clinical Decision Support Tools to Improve Pediatric Lipid Screening
Amir Goren1, Henri C Santos1, Thomas W Davis2
1Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger Health System, Danville, PA.
Insights
Electronic alerts significantly increased lipid screening orders and completions in children aged 9-11. Clinical decision support tools, particularly alerts, improve guideline-concordant screening rates.
Area of Science:
- Pediatric Health
- Clinical Decision Support Systems
- Preventive Cardiology
Background:
- Guideline-recommended lipid screening in children is underutilized.
- Effective strategies are needed to improve adherence to screening guidelines.
- Clinical decision support (CDS) tools integrated into electronic health records (EHRs) show promise.
Purpose of the Study:
- To evaluate the effectiveness of different CDS tools in increasing clinician orders and patient completion of lipid screening in pediatric patients.
- To compare the impact of passive care gap listings versus active alerts, and their combination, against standard practice.
Main Methods:
- A pragmatic, patient-randomized clinical trial involving 13,346 children aged 9-11 years was conducted within the Geisinger Health System.
- Four arms were compared: passive care gap listing, active alert panel, combined care gap and alert, and a control group with standard practice.
- Outcomes measured included clinician orders for lipid screening and patient completion of tests within one week.
Main Results:
- Patients in active CDS arms (care gap and/or alert) were significantly more likely to have lipid screening ordered and completed compared to the control arm (ORs 1.67-5.73 for orders, 1.54-2.90 for completions).
- Active alerts, with or without care gap listings, demonstrated superior performance over care gaps alone for increasing screening orders (ORs 2.92-3.43).
Conclusions:
- Electronic health record-based alerts are effective in increasing both the ordering and completion of lipid screening in pediatric populations.
- CDS tools, particularly active alerts, can significantly improve guideline-concordant preventive care.
- Patient randomization within EHRs offers a robust method for assessing the comparative effectiveness of different clinical support interventions.
Objective:
To test whether different clinical decision support tools increase clinician orders and patient completions relative to standard practice and each other.
Study Design:
A pragmatic, patient-randomized clinical trial in the electronic health record was conducted between October 2019 and April 2020 at Geisinger Health System in Pennsylvania, with 4 arms: care gap-a passive listing recommending screening; alert-a panel promoting and enabling lipid screen orders; both; and a standard practice-no guideline-based notification-control arm. Data were analyzed for 13 346 9- to 11-year-old patients seen within Geisinger primary care, cardiology, urgent care, or nutrition clinics, or who had an endocrinology visit. Principal outcomes were lipid screening orders by clinicians and completions by patients within 1 week of orders.
Results:
Active (care gap and/or alert) vs control arm patients were significantly more likely (P < .05) to have lipid screening tests ordered and completed, with ORs ranging from 1.67 (95% CI 1.28-2.19) to 5.73 (95% CI 4.46-7.36) for orders and 1.54 (95% CI 1.04-2.27) to 2.90 (95% CI 2.02-4.15) for completions. Alerts, with or without care gaps listed, outperformed care gaps alone on orders, with odds ratios ranging from 2.92 (95% CI 2.32-3.66) to 3.43 (95% CI 2.73-4.29).
Conclusions:
Electronic alerts can increase lipid screening orders and completions, suggesting clinical decision support can improve guideline-concordant screening. The study also highlights electronic record-based patient randomization as a way to determine relative effectiveness of support tools.
Trial Registration:
ClinicalTrials.gov Identifier: NCT04118348.
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