SynthesisImplementation science : IS2018
A systematic review of trials evaluating success factors of interventions with computerised clinical decision support.
Synthesis in Implementation science : IS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 12 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
81 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Effectiveness of clinical decision support in fall prevention among older adults: A systematic review and meta-analysis.PloS one · 2026Pooled 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
- Pooled it
- Promoting meaningful activities by occupational therapy in elderly care in Belgium: the ProMOTE intervention.BMC geriatrics · 2024Pooled it
- Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake.Implementation science : IS · 2022Pooled it
- A theory-based meta-regression of factors influencing clinical decision support adoption and implementation.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- A systematic review of theoretical constructs in CDS literature.BMC medical informatics and decision making · 2021Pooled it
- Public target interventions to reduce the inappropriate use of medicines or medical procedures: a systematic review.Implementation science : IS · 2020Pooled it
- Quality and effectiveness of osteoporosis treatment decision aids: a systematic review and environmental scan.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020Pooled it
- Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials.BMJ (Clinical research ed.) · 2020Pooled it
- A systematic review of trials evaluating success factors of interventions with computerised clinical decision support.Implementation science : IS · 2018Pooled it
- Effectiveness of Electronic Quality Improvement Activities to Reduce Cardiovascular Disease Risk in People With Chronic Kidney Disease in General Practice: Cluster Randomized Trial With Active Control.JMIR formative research · 2025 · on this mapTrial
- Trial
- A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial.The Lancet. Digital health · 2022Trial
- A clinical decision support system is associated with reduced loss to follow-up among patients receiving HIV treatment in Kenya: a cluster randomized trial.BMC medical informatics and decision making · 2021Trial
- The impact of personalized clinical decision support on primary care patients' views of cancer prevention and screening: a cross-sectional survey.BMC health services research · 2021Trial
- From sensitization to adoption? A qualitative study of the implementation of a digitally supported intervention for clinical decision making in polypharmacy.Implementation science : IS · 2020Trial
- Trial
- Computerized clinical decision support system for diabetes in primary care does not improve quality of care: a cluster-randomized controlled trial.Implementation science : IS · 2020 · on this mapTrial
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundComputerised clinical decision support (CDS) can potentially better inform decisions, and it can help with the management of information overload. It is perceived to be a key component of a learning health care system. Despite its increasing implementation worldwide, it remains uncertain why the effect of CDS varies and which factors make CDS more effective.
objectiveTo examine which factors make CDS strategies more effective on a number of outcomes, including adherence to recommended practice, patient outcome measures, economic measures, provider or patient satisfaction, and medical decision quality.
methodsWe identified randomised controlled trials, non-randomised trials, and controlled before-and-after studies that directly compared CDS implementation with a given factor to CDS without that factor by searching CENTRAL, MEDLINE, EMBASE, and CINAHL and checking reference lists of relevant studies. We considered CDS with any objective for any condition in any healthcare setting. We included CDS interventions that were either displayed on screen or provided on paper and that were directed at healthcare professionals or targeted at both professionals and patients. The reviewers screened the potentially relevant studies in duplicate. They extracted data and assessed risk of bias in independent pairs or individually followed by a double check by another reviewer. We summarised results using medians and interquartile ranges and rated our certainty in the evidence using the GRADE system.
resultsWe identified 66 head-to-head trials that we synthesised across 14 comparisons of CDS intervention factors. Providing CDS automatically versus on demand led to large improvements in adherence. Displaying CDS on-screen versus on paper led to moderate improvements and making CDS more versus less patient-specific improved adherence modestly. When CDS interventions were combined with professional-oriented strategies, combined with patient-oriented strategies, or combined with staff-oriented strategies, then adherence improved slightly. Providing CDS to patients slightly increased adherence versus CDS aimed at the healthcare provider only. Making CDS advice more explicit and requiring users to respond to the advice made little or no difference. The CDS intervention factors made little or no difference to patient outcomes. The results for economic outcomes and satisfaction outcomes were sparse.
conclusionMultiple factors may affect the success of CDS interventions. CDS may be more effective when the advice is provided automatically and displayed on-screen and when the suggestions are more patient-specific. CDS interventions combined with other strategies probably also improves adherence. Providing CDS directly to patients may also positively affect adherence. The certainty of the evidence was low to moderate for all factors.
trial registrationPROSPERO, CRD42016033738.
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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.