Evidence map›Paper›PMID 40025785›Full record

ArticleArthritis care & research2025

Sequence Analysis to Phenotype Health Care Patterns in Adults With Musculoskeletal Conditions Using Primary Care Electronic Health Records.

Smitha Mathew, George Peat, Emma Parry, Ross Wilkie, Kelvin P Jordan, Jonathan C Hill, Dahai Yu

Abstract read
In one paragraph

Article in Arthritis care & research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Smitha MathewKeele University, Keele, Staffordshire, United Kingdom.
George PeatKeele University, Keele, Staffordshire, United Kingdom.ORCID 0000-0002-9008-0184
Emma ParryKeele University, Keele, Staffordshire, United Kingdom.
Ross WilkieKeele University, Keele, Staffordshire, United Kingdom.
Kelvin P JordanKeele University, Keele, Staffordshire, United Kingdom.
Jonathan C HillKeele University, Keele, Staffordshire, United Kingdom.
Dahai YuKeele University, Keele, Staffordshire, United Kingdom.ORCID 0000-0002-8449-7725

Funding

National Institute for Health and Care Research CL-2020-10-001Nuffield Foundation OBF/43390
6 · The paper itself

Abstract

objectiveThe aim of this study was to apply sequence analysis (SA) to phenotype health care patterns of adult patients with musculoskeletal (MSK) conditions using primary care electronic health records and to investigate the association between these health care patterns and patients' self-reported outcomes after consultation.

methodsData from the Multilevel Integrated Data for musculoskeletal health intelligence and Actions program conducted in North Staffordshire and Stoke-on-Trent, United Kingdom, was used. The study included patients aged ≥18 years who consulted primary care for MSK conditions between September 2021 and July 2022. SA was employed to categorize patients with similar health care patterns in primary care in the five years before their index consultation in respect to consultations, analgesic prescriptions, imaging, physiotherapy, and secondary care referrals. Associations of sociodemographic characteristics and self-reported outcome with clusters were determined.

resultsIn total, 1,875 patients consulting primary care for MSK conditions were available for analysis. SA identified five clusters of previous health care patterns among patients with MSK conditions, including "increasing consultation and analgesia" (5.60%), "low consultation and health care use" (57.39%), "high consultation and health care use" (8.32%), "low consultation but high analgesia" (13.01%), and "low consultation but moderate health care use" (15.68%). Patients in the "high consultation and health care use" group were predominantly female, were older, had obesity, had more comorbidities, and lived in the most deprived areas compared to those in the "low consultation and health care use" group. Additionally, self-reported outcomes varied significantly among clusters, with patients in the "high consultation and health care use" group reporting worse self-reported outcomes.

conclusionThis analysis identified five distinct clusters of health care patterns for patients with MSK conditions in primary care and observed substantial variations in patients' self-reported outcomes and sociodemographic profiles across these different groups of patients.

Indexed as

Electronic Health RecordsMusculoskeletal DiseasesPrimary Health CareAdultAgedFemaleHumansMaleMiddle AgedPhenotypeReferral and ConsultationUnited KingdomYoung Adult

Identifiers

PMID40025785
PMCPMC12209494

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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.