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Record W4405671372 · doi:10.3310/rtky7521

Clinical and cost-effectiveness of first contact physiotherapy for musculoskeletal disorders in primary care: the FRONTIER, mixed method realist evaluation

2024· article· en· W4405671372 on OpenAlexaff
Nicola Walsh, Alice Berry, Serena Halls, Rachel Thomas, Hannah Stott, Cathy Liddiard, Zoe Anchors, Fiona Cramp, Margaret Cupples, Peter Williams, Heather Gage, Daniel T. Jackson, Paula Kersten, Dave Foster, Justin Jagosh

Bibliographic record

VenueHealth and Social Care Delivery Research · 2024
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsCentre for Advancing Health Outcomes
FundersHealth and Social Care Delivery ResearchDepartment of Health and Social CareHealth Services and Delivery Research ProgrammeNational Institute for Health and Care Research
KeywordsMedicinePhysical therapyFamily medicineNursing

Abstract

fetched live from OpenAlex

Background: First-contact physiotherapists assess and diagnose patients with musculoskeletal disorders, determining the best course of management without prior general practitioner consultation. Objectives: The primary aim was to determine the clinical and cost-effectiveness of first-contact physiotherapists compared with general practitioner-led models of care. Design: Mixed-method realist evaluation of effectiveness and costs, comprising three main phases: A United Kingdom-wide survey of first contact physiotherapists. Rapid realist review of first contact physiotherapists to determine programme theories. A mixed-method case study evaluation of 46 general practices across the United Kingdom, grouped as three service delivery models: General practitioner: general practitioner-led models of care (no first contact physiotherapists). First-contact physiotherapists standard provision: standard first-contact physiotherapist-led model of care. First-contact physiotherapists with additional qualifications: first-contact physiotherapists with additional qualifications to enable them to inject and/or prescribe. Setting: United Kingdom general practice. Participants: A total of 46 sites participated in the case study evaluation and 426 patients were recruited; 80 staff and patients were interviewed. Main outcome measures: Short Form 36 physical outcome component score and costs of treatment. Results: No statistically significant difference in the primary outcome Short Form 36 physical component score measure at 6-month primary end point between general practitioner-led, first-contact physiotherapist standard provision and first-contact physiotherapist with additional qualifications models of care. A greater number of patients who had first-contact physiotherapist standard provision (72.4%) and first-contact physiotherapist with additional qualifications (66.4%) showed an improvement at 3 months compared with general practitioner-led care (54.7%). No statistically significant differences were found between the study arms in other secondary outcome measures, including the EuroQol-5 Dimensions, five-level version. Some 6.3% of participants were lost to follow-up at 3 months; a further 1.9% were lost to follow-up after 3 months and before 6 months. Service-use analysis data were available for 348 participants (81.7%) at 6 months. Inspecting the entire 6 months of the study, a statistically significant difference in total cost was seen between the three service models, irrespective of whether inpatient costs were included or excluded from the calculation. In both instances, the general practitioner service model was found to be significantly costlier, with a median total cost of £105.50 versus £41.00 for first-contact physiotherapist standard provision and £44.00 for first-contact physiotherapists with additional qualifications. Base-case analysis used band 7 for first-contact physiotherapist groups. A sensitivity analysis was undertaken at band 8a for first-contact physiotherapists with additional qualifications; the general practitioner-led model of care remained significantly costlier. Qualitative investigation highlighted key issues to support implementation: understanding role remit, integrating and supporting staff including full information technology access and extended appointment times. Limitations: Services were significantly impacted by COVID-19 treatment restrictions, and recruitment was hampered by additional pressures in primary care. A further limitation was the lack of diversity within the sample. Conclusions: First-contact physiotherapists and general practitioner models of care are equally clinically effective for people with musculoskeletal disorders. Analysis showed the general practitioner-led model of care is costlier than both the first-contact physiotherapist standard provision and first-contact physiotherapist with additional qualifications models. Implementation is supported by raising awareness of the first-contact physiotherapist role, retention of extended appointment times, and employment models that provide first-contact physiotherapists with professional support. Future research: Determining whether shifting workforce impacts physiotherapy provision and outcomes across the musculoskeletal pathway. Study registration: The study is registered as Research Registry UIN researchregistry5033. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 16/116/03) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 49. See the NIHR Funding and Awards website for further award information.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.035
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.182
GPT teacher head0.606
Teacher spread0.425 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes1
Has abstractyes

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