Trial reportJournal of primary care & community health2015
Evaluation of the effect of decision support on the efficiency of primary care providers in the outpatient practice.
Trial report in Journal of primary care & community health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Economic Value of Data and Analytics for Health Care Providers: Hermeneutic Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care.Journal of clinical monitoring and computing · 2017Pooled it
- The Potential for a Benefit-Estimating Algorithm to Improve Recommendations for Preventive Services: Comparing Algorithm Recommendations with Those of Primary Care Providers.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- The Digital Transformation of Healthcare Through Intelligent Technologies: A Path Dependence-Augmented-Unified Theory of Acceptance and Use of Technology Model for Clinical Decision Support Systems.Healthcare (Basel, Switzerland) · 2025Article
- Impact of a Disease-Focused Electronic Health Record Dashboard on Clinical Staff Efficiency in Previsit Patient Review in an Ambulatory Pulmonary Hypertension Care Clinic.Applied clinical informatics · 2024Article
- Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.BMC medical informatics and decision making · 2022Article
- A Clinical Decision Support System for the Prediction of Quality of Life in ALS.Journal of personalized medicine · 2022Article
- Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.JMIR medical informatics · 2022Article
- Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects.Medical journal of the Islamic Republic of Iran · 2021Review
- An approach to improve the care of mid-life women through the implementation of a Women's Health Assessment Tool/Clinical Decision Support toolkit.Women's health (London, England) · 2016Article
- A Web-Based Tool for Patient Triage in Emergency Department Settings: Validation Using the Emergency Severity Index.JMIR medical informatics · 2015Article
- A Case Study of Visit-Driven Preventive Care Screening Using Clinical Decision Support: The Need to Redesign Preventive Care Screening.Health services research and managerial epidemiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundClinical decision support (CDS) for primary care has been shown to improve delivery of preventive services. However, there is little evidence for efficiency of physicians due to CDS assistance. In this article, we report a pilot study for measuring the impact of CDS on the time spent by physicians for deciding on preventive services and chronic disease management.
methodsWe randomly selected 30 patients from a primary care practice, and assigned them to 10 physicians. The physicians were requested to perform chart review to decide on preventive services and chronic disease management for the assigned patients. The patients assignment was done in a randomized crossover design, such that each patient received 2 sets of recommendations-one from a physician with CDS assistance and the other from a different physician without CDS assistance. We compared the physician recommendations made using CDS assistance, with the recommendations made without CDS assistance.
resultsThe physicians required an average of 1 minute 44 seconds, when they were they had access to the decision support system and 5 minutes when they were unassisted. Hence the CDS assistance resulted in an estimated saving of 3 minutes 16 seconds (65%) of the physicians' time, which was statistically significant (P < .0001). There was no statistically significant difference in the number of recommendations.
conclusionOur findings suggest that CDS assistance significantly reduced the time spent by physicians for deciding on preventive services and chronic disease management. The result needs to be confirmed by performing similar studies at other institutions.
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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.