Aaron E Carroll1, Nerissa S Bauer2, Tamara M Dugan2, Vibha Anand1, Chandan Saha3, Stephen M Downs1. 1. Children's Health Services Research, Indiana University School of Medicine, Indianapolis2The Regenstrief Institute for Health Care, Indianapolis, Indiana. 2. Children's Health Services Research, Indiana University School of Medicine, Indianapolis. 3. Department of Biostatistics, Indiana University School of Medicine and Richard M. Fairbanks School of Public Health, Indianapolis.
Abstract
IMPORTANCE: Developmental delays and disabilities are common in children. Research has indicated that intervention during the early years of a child's life has a positive effect on cognitive development, social skills and behavior, and subsequent school performance. OBJECTIVE: To determine whether a computerized clinical decision support system is an effective approach to improve standardized developmental surveillance and screening (DSS) within primary care practices. DESIGN, SETTING, AND PARTICIPANTS: In this cluster randomized clinical trial performed in 4 pediatric clinics from June 1, 2010, through December 31, 2012, children younger than 66 months seen for primary care were studied. INTERVENTIONS: We compared surveillance and screening practices after adding a DSS module to an existing computer decision support system. MAIN OUTCOMES AND MEASURES: The rates at which children were screened for developmental delay. RESULTS: Medical records were reviewed for 360 children (180 each in the intervention and control groups) to compare rates of developmental screening at the 9-, 18-, or 30-month well-child care visits. The DSS module led to a significant increase in the percentage of patients screened with a standardized screening tool (85.0% vs 24.4%, P < .001). An additional 120 records (60 each in the intervention and control groups) were reviewed to examine surveillance rates at visits outside the screening windows. The DSS module led to a significant increase in the percentage of patients whose parents were assessed for concerns about their child's development (71.7% vs 41.7%, P = .04). CONCLUSIONS AND RELEVANCE: Using a computerized clinical decision support system to automate the screening of children for developmental delay significantly increased the numbers of children screened at 9, 18, and 30 months of age. It also significantly improved surveillance at other visits. Moreover, it increased the number of children who ultimately were diagnosed as having developmental delay and who were referred for timely services at an earlier age. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01351077.
RCT Entities:
IMPORTANCE: Developmental delays and disabilities are common in children. Research has indicated that intervention during the early years of a child's life has a positive effect on cognitive development, social skills and behavior, and subsequent school performance. OBJECTIVE: To determine whether a computerized clinical decision support system is an effective approach to improve standardized developmental surveillance and screening (DSS) within primary care practices. DESIGN, SETTING, AND PARTICIPANTS: In this cluster randomized clinical trial performed in 4 pediatric clinics from June 1, 2010, through December 31, 2012, children younger than 66 months seen for primary care were studied. INTERVENTIONS: We compared surveillance and screening practices after adding a DSS module to an existing computer decision support system. MAIN OUTCOMES AND MEASURES: The rates at which children were screened for developmental delay. RESULTS: Medical records were reviewed for 360 children (180 each in the intervention and control groups) to compare rates of developmental screening at the 9-, 18-, or 30-month well-child care visits. The DSS module led to a significant increase in the percentage of patients screened with a standardized screening tool (85.0% vs 24.4%, P < .001). An additional 120 records (60 each in the intervention and control groups) were reviewed to examine surveillance rates at visits outside the screening windows. The DSS module led to a significant increase in the percentage of patients whose parents were assessed for concerns about their child's development (71.7% vs 41.7%, P = .04). CONCLUSIONS AND RELEVANCE: Using a computerized clinical decision support system to automate the screening of children for developmental delay significantly increased the numbers of children screened at 9, 18, and 30 months of age. It also significantly improved surveillance at other visits. Moreover, it increased the number of children who ultimately were diagnosed as having developmental delay and who were referred for timely services at an earlier age. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01351077.
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