ArticleApplied clinical informatics2014
User centered clinical decision support tools: adoption across clinician training level.
Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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.
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Who cites it
23 citing papers in PubMed.
- Factors associated with chronic pain clinical decision support use in primary care.PLOS digital health · 2026Article
- Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study.JMIR formative research · 2023Article
- Adoption of shared decision-making and clinical decision support for reducing cardiovascular disease risk in community health centers.JAMIA open · 2023Article
- Applying A/B Testing to Clinical Decision Support: Rapid Randomized Controlled Trials.Journal of medical Internet research · 2021Article
- Drug Alert Experience and Salience during Medical Residency at Two Healthcare Institutions.Applied clinical informatics · 2021Article
- Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome.Applied clinical informatics · 2021Article
- Article
- Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach.Journal of medical Internet research · 2020Article
- E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review.Antibiotics (Basel, Switzerland) · 2020Review
- Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.Journal of medical Internet research · 2020Article
- Clinicians' Values and Preferences for Medication Adherence and Cost Clinical Decision Support in Primary Care: A Qualitative Study.Applied clinical informatics · 2020Article
- Development and Evaluation of Novel Electronic Medical Record Tools For Avoiding Bleeding After Percutaneous Coronary Intervention.Journal of the American Heart Association · 2019Article
- Article
- User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module.Studies in health technology and informatics · 2019Article
- Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study.JMIR human factors · 2019Article
- Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study.BMJ health & care informatics · 2019Article
- Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study.JMIR human factors · 2019Article
- Study protocol: a pragmatic, stepped-wedge trial of tailored support for implementing social determinants of health documentation/action in community health centers, with realist evaluation.Implementation science : IS · 2019Article
- Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module.Pilot and feasibility studies · 2019Article
- Adoption of Social Determinants of Health EHR Tools by Community Health Centers.Annals of family medicine · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundDissemination and adoption of clinical decision support (CDS) tools is a major initiative of the Affordable Care Act's Meaningful Use program. Adoption of CDS tools is multipronged with personal, organizational, and clinical settings factoring into the successful utilization rates. Specifically, the diffusion of innovation theory implies that 'early adopters' are more inclined to use CDS tools and younger physicians tend to be ranked in this category.
objectiveThis study examined the differences in adoption of CDS tools across providers' training level.
participantsFrom November 2010 to 2011, 168 residents and attendings from an academic medical institution were enrolled into a randomized controlled trial.
interventionThe intervention arm had access to the CDS tool through the electronic health record (EHR) system during strep and pneumonia patient visits. MAIN MEASURES: The EHR system recorded details on how intervention arm interacted with the CDS tool including acceptance of the initial CDS alert, completion of risk-score calculators and the signing of medication order sets. Using the EHR data, the study performed bivariate tests and general estimating equation (GEE) modeling to examine the differences in adoption of the CDS tool across residents and attendings. KEY
resultsThe completion rates of the CDS calculator and medication order sets were higher amongst first year residents compared to all other training levels. Attendings were the less likely to accept the initial step of the CDS tool (29.3%) or complete the medication order sets (22.4%) that guided their prescription decisions, resulting in attendings ordering more antibiotics (37.1%) during an CDS encounter compared to residents.
conclusionThere is variation in adoption of CDS tools across training levels. Attendings tended to accept the tool less but ordered more medications. CDS tools should be tailored to clinicians' training levels.
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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.