Evidence map›Paper›PMID 42879770›Full record

Trial reportJournal of medical Internet research2026

Improving Musculoskeletal Care Quality With a Web-Based Clinical Decision Support System in UK Primary Care: Mixed Methods Cluster-Randomized Controlled Trial.

Jonathan Hill, Hollie Birkinshaw, Muhammed Usman, Tammy Millward, James Bailey, Simon Wathall, Rebecca Naylor, Robert Malcolm, Melissa Pegg, Hayden Holmes and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jonathan HillSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0001-6246-1409
Hollie BirkinshawSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0003-0853-2995
Muhammed UsmanSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0002-0911-3277
Tammy MillwardSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0009-0002-1176-739X
James BaileySchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0002-2566-3527
Simon WathallSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0002-7107-5785
Rebecca NaylorYork Health Economics Consortium, York, United Kingdom.ORCID http://orcid.org/0009-0006-7262-7111
Robert MalcolmYork Health Economics Consortium, York, United Kingdom.ORCID http://orcid.org/0000-0001-5148-3928
Melissa PeggYork Health Economics Consortium, York, United Kingdom.ORCID http://orcid.org/0000-0002-2274-6319
Hayden HolmesYork Health Economics Consortium, York, United Kingdom.ORCID http://orcid.org/0000-0003-2559-061X
Kate LeeSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0009-0000-7573-5851
Tanya WrightSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0002-2783-6823
Adrian ChudykSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0002-2990-9651
Alex BraybrookeSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0009-0008-3492-040X
Roanna BurgessSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0001-5862-5845
Martyn LewisSchool of Medicine, Keele University, David Weatherall Building, Stoke on Trent, Staffordshire, ST55BG, United Kingdom, 44 01782 733900.ORCID http://orcid.org/0000-0001-5290-7833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Musculoskeletal (MSK) conditions account for one in seven general practice consultations in the United Kingdom. Despite national guidelines, suboptimal care remains common. Digital clinical decision support systems (CDSSs) offer a promising route to improve care quality but have not been robustly evaluated in MSK primary care. Objective: This study aimed to evaluate the efficacy, clinical effectiveness and cost-effectiveness, carbon reduction, safety, and implementation of a CDSS (CrossCover) for MSK consultations in UK general practice. Methods: We conducted a mixed methods, cluster-randomized controlled trial in 19 general practices between February and July 2024. Practices were randomized 1:1, stratified by list size. Intervention practices received training and access to the web-based CDSS for 3 months. We analyzed anonymized electronic health records to identify all adult MSK consultations. The primary outcome was the proportion of patient records containing one or more of 12 predefined non-evidence-based management options, assessed by blinded clinical review of 120 patient records (60 per arm). Reviewers assessed the complete 3-month record in both arms; in the intervention arm, suboptimal management was counted only where it occurred at a consultation in which the CDSS was used. Secondary outcomes included intention-to-treat treatment comparisons of self-management advice, prescriptions, referrals, and imaging. Clinician engagement, safety, environmental and economic modeling, and clinician experiences from semistructured interviews were evaluated. Outcome assessors were blinded; clinicians were not. Results: Among 10,182 eligible patients with MSK conditions (4268 intervention; 5914 control), the CDSS was used in 365 (8.6%) patient cases. Intention-to-treat analysis identified that the intervention increased self-management alone. Per-protocol analysis demonstrated that when used, suboptimal care arose in 3% (2/60) of CDSS-guided consultations vs 25% (15/60) of control consultations (adjusted odds ratio 12.30, 95% CI 2.52-59.9; Conclusions: When used, the CrossCover CDSS significantly reduced suboptimal primary care MSK management. However, while safety and clinician feedback were favorable, overall engagement was limited, underscoring the need for improved digital integration, workflow alignment, and implementation support.

Indexed as

Decision Support Systems, ClinicalInternetMusculoskeletal DiseasesPrimary Health CareQuality ImprovementQuality of Health CareAdultCost-Benefit AnalysisFemaleHumansMaleMiddle AgedUnited Kingdomclinical decision support systemscluster trialgeneral practicehealth technology.mixed methodsmusculoskeletalprimary carerandomized controlled trial

Identifiers

PMID42879770
PMCPMC13671679

What OpenQuestion holds

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Registered trials

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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.