Evidence map›Paper›PMID 23788628›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Understanding the acceptability of a computer decision support system in pediatric primary care.

Nerissa S Bauer, Aaron E Carroll, Stephen M Downs

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
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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

3 authors.

Nerissa S BauerDepartment of Pediatrics, Section of Children's Health Services Research, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Aaron E Carroll
Stephen M Downs

Funding

Computer Assisted Autism Care (CAAC)R01HS018453 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI DOWNS, STEPHEN M. · 2009 to 2012
$1.9M
Computer Decision Aid for ADHD Management (CDAAM)R01LM010031 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI CARROLL, AARON E. · 2009 to 2010
$1.0M
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 R01HS017939AHRQ HHS R01 HS018453AHRQ HHS R01HS018453NLM NIH HHS R01 LM010031NLM NIH HHS R01LM010031
6 · The paper itself

Abstract

objectiveIndividual users' attitudes and opinions help predict successful adoption of health information technology (HIT) into practice; however, little is known about pediatric users' acceptance of HIT for medical decision-making at the point of care. MATERIALS AND

methodsWe wished to examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. Surveys were administered in 2011 and 2012 to all users to measure CHICA's acceptability and users' satisfaction with it. Free text comments were analyzed for themes to understand areas of potential technical refinement.

results70 participants completed the survey in 2011 (100% response rate) and 64 of 66 (97% response rate) in 2012. Initially, satisfaction with CHICA was mixed. In general, users felt the system held promise; however various critiques reflected difficulties understanding integrated technical aspects of how CHICA worked, as well as concern with the format and wording on generated forms for families and users. In the subsequent year, users' ratings reflected improved satisfaction and acceptance. Comments also reflected a deeper understanding of the system's logic, often accompanied by suggestions on potential refinements to make CHICA more useful at the point of care.

conclusionsPediatric users appreciate the system's automation and enhancements that allow relevant and meaningful clinical data to be accessible at point of care. Understanding users' acceptability and satisfaction is critical for ongoing refinement of HIT to ensure successful adoption into practice.

Indexed as

Attitude of Health PersonnelAttitude to ComputersDecision Support Systems, ClinicalPediatricsData CollectionElectronic Health RecordsHumansPrimary Health CareUser-Computer InterfaceClinical guidelinesComputer-based decision supportPediatricsPrimary care

Identifiers

PMID23788628
PMCPMC3912729

What OpenQuestion holds

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Registered trials

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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.