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Enregistrement 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 sur 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

Notice bibliographique

RevueHealth and Social Care Delivery Research · 2024
Typearticle
Langueen
DomaineHealth Professions
ThématiqueNursing Roles and Practices
Établissements canadiensCentre for Advancing Health Outcomes
Organismes subventionnairesHealth and Social Care Delivery ResearchDepartment of Health and Social CareHealth Services and Delivery Research ProgrammeNational Institute for Health and Care Research
Mots-clésMedicinePhysical therapyFamily medicineNursing

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,866
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0140,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,182
Tête enseignante GPT0,606
Écart entre enseignants0,425 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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