Evidence map›Paper›PMID 25022724›Full record

Trial reportJAMA pediatrics2014

Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.

Aaron E Carroll, Nerissa S Bauer, Tamara M Dugan, Vibha Anand, Chandan Saha, Stephen M Downs

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA pediatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01351077 (A Study to Determine if CHICA Can Improve Developmental Screening), which is not on this map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01351077 nacompletednot on this map

A Study to Determine if CHICA Can Improve Developmental Screening

TypeinterventionalSponsorIndiana UniversityRan2011 to 2012Enrolled360ConditionsDevelopmental DelayArmsCHICA DevScreen Module
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Developmental Screening Tools Used with First Nations Populations: A Systematic Review.International journal of environmental research and public health · 2022
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  20. Caregiver Comfort in Adolescents Independently Completing Screening Tablet-Based Questionnaires at Primary Care Visits.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aaron E CarrollChildren's Health Services Research, Indiana University School of Medicine, Indianapolis2The Regenstrief Institute for Health Care, Indianapolis, Indiana.
Nerissa S BauerChildren's Health Services Research, Indiana University School of Medicine, Indianapolis.
Tamara M DuganChildren's Health Services Research, Indiana University School of Medicine, Indianapolis.
Vibha AnandChildren's Health Services Research, Indiana University School of Medicine, Indianapolis2The Regenstrief Institute for Health Care, Indianapolis, Indiana.
Chandan SahaDepartment of Biostatistics, Indiana University School of Medicine and Richard M. Fairbanks School of Public Health, Indianapolis.
Stephen M DownsChildren's Health Services Research, Indiana University School of Medicine, Indianapolis2The Regenstrief Institute for Health Care, Indianapolis, Indiana.

Funding

Computer Automated Developmental Surveillance and Screening (CADSS)R01HS017939 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI CARROLL, AARON E. · 2009 to 2011
$899k
AHRQ HHS R01 HS017939AHRQ HHS R01HS017939
6 · The paper itself

Abstract

importanceDevelopmental 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.

objectiveTo 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

participantsIn 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.

interventionsWe 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.

resultsMedical 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 registrationclinicaltrials.gov Identifier: NCT01351077.

Indexed as

Child DevelopmentDecision Support TechniquesChild, PreschoolComputersDevelopmental DisabilitiesFemaleHumansIndianaInfantMaleMass ScreeningPrimary Health Care

Identifiers

PMID25022724
PMCPMC10157652

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.