Evidence map›Paper›PMID 29500025›Full record

ArticleInternational journal of medical informatics2018

A six-year repeated evaluation of computerized clinical decision support system user acceptability.

Randall W Grout, Erika R Cheng, Aaron E Carroll, Nerissa S Bauer, Stephen M Downs

Abstract readEvaluation Study
In one paragraph

Article in International journal of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  5. Observational
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  12. Designing a reference architecture for health information systems.BMC medical informatics and decision making · 2021
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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

5 authors.

Randall W GroutChildren's Health Services Research, Department of Pediatrics, School of Medicine, Indiana University, Indianapolis, IN, USA. Electronic address: rgrout@iu.edu.
Erika R ChengChildren's Health Services Research, Department of Pediatrics, School of Medicine, Indiana University, Indianapolis, IN, USA.
Aaron E CarrollPediatric and Adolescent Comparative Effectiveness Research, Department of Pediatrics, School of Medicine, Indiana University, Indianapolis, IN, USA.
Nerissa S BauerChildren's Health Services Research, Department of Pediatrics, School of Medicine, Indiana University, Indianapolis, IN, USA.
Stephen M DownsChildren's Health Services Research, Department of Pediatrics, School of Medicine, Indiana University, Indianapolis, IN, USA.

Funding

IMPLEMENTATION RESEARCH INSTITUTE FOR MENTAL HEALTH SERVICES IRI-MHSR25MH080916 · NIMH · WASHINGTON UNIVERSITY · PI Byron James Powell · 2009 to 2026
$3.7M
Computer Assisted Autism Care (CAAC)R01HS018453 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI DOWNS, STEPHEN M. · 2009 to 2012
$1.9M
Computer-Supported Management of Medical-Legal Issues Impacting Child HealthR01HS020640 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI GILBERT, AMY LEWIS · 2012 to 2014
$1.5M
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 R01 HS018453AHRQ HHS R01 HS020640NIMH NIH HHS R25 MH080916NLM NIH HHS R01 LM010031
6 · The paper itself

Abstract

objectiveLong-term acceptability among computerized clinical decision support system (CDSS) users in pediatrics is unknown. We examine user acceptance patterns over six years of our continuous computerized CDSS integration and updates. MATERIALS AND

methodsUsers of Child Health Improvement through Computer Automation (CHICA), a CDSS integrated into clinical workflows and used in several urban pediatric community clinics, completed annual surveys including 11 questions covering user acceptability. We compared responses across years within a single healthcare system and between two healthcare systems. We used logistic regression to assess the odds of a favorable response to each question by survey year, clinic role, part-time status, and frequency of CHICA use.

resultsData came from 380 completed surveys between 2011 and 2016. Responses were significantly more favorable for all but one measure by 2016 (OR range 2.90-12.17, all p < 0.01). Increasing system maturity was associated with improved perceived function of CHICA (OR range 4.24-7.58, p < 0.03). User familiarity was positively associated with perceived CDSS function (OR range 3.44-8.17, p < 0.05) and usability (OR range 9.71-15.89, p < 0.01) opinions.

conclusionWe present a long-term, repeated follow-up of user acceptability of a CDSS. Favorable opinions of the CDSS were more likely in frequent users, physicians and advanced practitioners, and full-time workers. CHICA acceptability increased as it matured and users become more familiar with it. System quality improvement, user support, and patience are important in achieving wide-ranging, sustainable acceptance of CDSS.

Indexed as

Attitude of Health PersonnelAttitude to ComputersDecision Support Systems, ClinicalUser-Computer InterfaceComputersHumansPediatricsPhysiciansSurveys and QuestionnairesComputerized decision support systemDecision supportQuality improvementUser acceptabilityUser satisfaction

Identifiers

PMID29500025
PMCPMC5836810

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.