SynthesisImplementation science : IS2025
The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations.
Synthesis in Implementation science : IS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Why aren't they used? Systematic review of barriers to implementation of clinical decision support systems for early cancer detection in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Pooled it
- Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation.BMJ health & care informatics · 2026Pooled it
- Patterns of CDSS adoption in primary care: a cluster analysis and predictive modelling study from a stepped wedge trial.Implementation science : IS · 2026Trial
- CPS-Net (Collaborating Physicians in Silico Network): A Decentralized Multi-Agent Transformer Framework for Specialty-Aware Disease Prediction.Journal of medical systems · 2026Article
- Conversational Large Language Models for Vestibular Diagnosis in Outpatient Clinics: Prospective Multicenter Diagnostic Accuracy Study.Journal of medical Internet research · 2026Article
- User perceptions of machine learning models as decision support for colorectal cancer multidisciplinary team conferences (AID-SIM-2): a qualitative simulation study.Acta oncologica (Stockholm, Sweden) · 2026Article
- Using the CFIR 2.0 Framework to Assess the Implementation of GARDE: A Population Health Management Tool for Hereditary Cancer Risk.Research square · 2026Article
- Factors Influencing the Implementation of Intimate Partner Violence Screening by Perinatal Obstetric Healthcare Providers in China: A Social-Ecological Perspective.Healthcare (Basel, Switzerland) · 2026Article
- Authors' response.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Article
- Process and Strategies for Implementing an Antenatal Psychosocial Clinical Decision Support System Within an Inter-Organisational Care Context: The Born in Belgium Professionals Platform.Healthcare (Basel, Switzerland) · 2026Article
- Optimizing Clinical Decision Support for Antibiotic Prescribing in Pediatric Acute Respiratory Tract Infections: A Usability Study.Applied clinical informatics · 2026Article
- A Survey of Primary Care Clinician Experiences With Electronic Health Record-Based Clinical Decision Support to Improve HIV Pre-Exposure Prophylaxis Prescribing.JMIR formative research · 2026Article
- How Implementation Context Shapes Clinician Acceptance and Engagement with Guideline-Based Clinical Decision Support Systems in Primary Care: A Qualitative Study.Journal of healthcare leadership · 2026Article
- Implementation of Clinical Algorithms in Complex Wound Care: A Pilot Study on Feasibility and Professional Acceptance.Nursing research and practice · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundEarly detection of diseases in primary care is crucial for timely treatment and better outcomes. Complex care demands and limited resources can make early detection challenging. Clinical decision support systems (CDSS) aim to improve the diagnostic process. However, barriers to implementation have so far prevented their effective use. This systematic review aimed to identify barriers for the implementation of CDSS for disease detection in primary care and use this to develop recommendations for implementation.
methodsWe searched MEDLINE, EMBASE, Scopus, Web of Science and Cochrane databases. Included studies reported barriers to the implementation of CDSS for the detection of undiagnosed, prevalent diseases in primary care. Two independent researchers undertook screening and data extraction. The QuADS tool was used for quality assessment. Data on barriers and facilitators were synthesised using an inductive-deductive approach based on the Theoretical Domains Framework. This was used to identify solutions via the Behaviour Change Wheel.
results10498 titles and abstracts were screened, and 768 full texts were assessed. We included 99 studies describing 85 tools, mostly in high-income countries. Most studies (66, 66.7%) applied qualitative methods and described CDSS implemented in pilot studies (64, 64.7%). Included studies had very limited stakeholder involvement or theoretical underpinning. We identified 2563 unique barriers and facilitators to implementation. Barriers were spread across the Theoretical Domains Framework including technical and workflow implementation issues at practice level, wider healthcare system issues, problems with the usability of systems, PCPs' and patients' attitudes and beliefs, a lack of skills and knowledge, and social barriers. Implementation recommendations for development teams involve selecting appropriate diagnostic challenges for CDSS, ensuring usability, engaging stakeholders and testing CDSS prior to implementation. Primary care teams need to clarify responsibilities, provide training and support patients. Underlying barriers across healthcare systems will need to be addressed at policy level.
conclusionsThe range and scale of the barriers and complexity of recommendations highlight implementation challenges for CDSS in primary care. Although recommendations can be used to improve implementation, our findings emphasise the need to carefully reflect on the feasibility of CDSS in primary care at the point of design and development. The systematic review was preregistered using PROSPERO (CRD42024517054): https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=517054.
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.