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

Randall W. Grout, Erika R. Cheng, Aaron Carroll, Nerissa Bauer, Stephen Downs

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Objective: Long-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 methods: Users 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. Results: Data 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. Conclusion: We 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.

Original languageEnglish (US)
Pages (from-to)74-81
Number of pages8
JournalInternational Journal of Medical Informatics
Volume112
DOIs
StatePublished - Apr 1 2018

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Keywords

  • Computerized decision support system
  • Decision support
  • Quality improvement
  • User acceptability
  • User satisfaction

ASJC Scopus subject areas

  • Health Informatics

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