ArticleBMC health services research2012
Clinical decision support must be useful, functional is not enough: a qualitative study of computer-based clinical decision support in primary care.
Article in BMC health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 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
37 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations.Implementation science : IS · 2025Pooled it
- Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review.Implementation science : IS · 2024Pooled it
- Usability Flaws in Medication Alerting Systems: Impact on Usage and Work System.Yearbook of medical informatics · 2015Pooled it
- Exposure to and experiences with a computerized decision support intervention in primary care: results from a process evaluation.BMC family practice · 2015Trial
- Patient-specific computer-based decision support in primary healthcare--a randomized trial.Implementation science : IS · 2014Trial
- Piloting a Clinical Decision Support System for Unintended Weight Loss in Primary Care: Mixed Methods Study on Early Cancer Detection.JMIR cancer · 2026Article
- Usability and Usefulness of Machine Learning-Based Clinical Decision Support Software in Primary Care: Survey of Users in a Prospective Observational Study.JMIR medical informatics · 2026Observational
- Large language models for clinical decision support in gastroenterology and hepatology.Nature reviews. Gastroenterology & hepatology · 2025Review
- Academic Detailing to Enhance Adoption of Clinical Decision Support for Patients at Risk of Opioid Overdose.Applied clinical informatics · 2025Article
- Emergency department use of an electronic differential diagnosis generator in the evaluation of critically ill patients.Internal and emergency medicine · 2024Observational
- The need for digital health education among next-generation health workers in China: a cross-sectional survey on digital health education.BMC medical education · 2023Article
- Adoption of shared decision-making and clinical decision support for reducing cardiovascular disease risk in community health centers.JAMIA open · 2023Article
- Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review.BMC primary care · 2023Article
- Usability of the IDDEAS prototype in child and adolescent mental health services: A qualitative study for clinical decision support system development.Frontiers in psychiatry · 2023Article
- Factors Influencing the Implementation of Antimicrobial Stewardship in Primary Care: A Narrative Review.Antibiotics (Basel, Switzerland) · 2022Review
- Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.JMIR human factors · 2022Review
- Barriers to and Facilitators for Acceptance of Comprehensive Clinical Decision Support System-Driven Care Maps for Patients With Thoracic Trauma: Interview Study Among Health Care Providers and Nurses.JMIR human factors · 2022Article
- Healthcare providers' readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase.BMC health services research · 2022Article
- Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study.JMIR formative research · 2021Article
- Enhancing trust in clinical decision support systems: a framework for developers.BMJ health & care informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelled
backgroundHealth information technology, particularly electronic decision support systems, can reduce the existing gap between evidence-based knowledge and health care practice but professionals have to accept and use this information. Evidence is scant on which features influence the use of computer-based clinical decision support (eCDS) in primary care and how different professional groups experience it. Our aim was to describe specific reasons for using or not using eCDS among primary care professionals.
methodsThe setting was a Finnish primary health care organization with 48 professionals receiving patient-specific guidance at the point of care. Multiple data (focus groups, questionnaire and spontaneous feedback) were analyzed using deductive content analysis and descriptive statistics.
resultsThe content of the guidance is a significant feature of the primary care professional's intention to use eCDS. The decisive reason for using or not using the eCDS is its perceived usefulness. Functional characteristics such as speed and ease of use are important but alone these are not enough. Specific information technology, professional, patient and environment features can help or hinder the use.
conclusionsPrimary care professionals have to perceive eCDS guidance useful for their work before they use it.
Indexed as
Identifiers
What OpenQuestion holds
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.