Evaluation of the implementation of the Back Skills Training (BeST) programme using online training: a cohort implementation study.


Journal

Physiotherapy
ISSN: 1873-1465
Titre abrégé: Physiotherapy
Pays: England
ID NLM: 0401223

Informations de publication

Date de publication:
12 2020
Historique:
received: 10 02 2020
pubmed: 17 8 2020
medline: 16 3 2021
entrez: 16 8 2020
Statut: ppublish

Résumé

1) Evaluate implementation of the Back Skills Training (BeST) programme, a group cognitive behavioural approach for patients with low back pain (LBP) developed for a clinical trial, into the National Health Service (NHS) in the United Kingdom; 2) Compare patient outcomes with the BeST Trial results. Two stage observational cohort implementation study. Stage 1: NHS Clinicians enrolled in BeST online training. Stage 2: Patients with LBP attending NHS physiotherapy departments and enrolled in the BeST programme. An online training and implementation programme. Stage 1: LBP attitudes and beliefs, self-rated competence, intention and actual implementation were collected before, immediately, 4- and 12-months post-training. Stage 2: Patients rated pain, function, recovery and satisfaction before and up to one year after attending the BeST programme. Stage 1: 1324 clinicians (157 NHS Trusts) enrolled in the training; 586 (44%) clinicians (101 NHS Trusts) completed training; 443/586 (76%) clinicians provided post-training data; 253/443 (57%) clinicians intended to implement the programme; 148/381 (39%) clinicians (54 NHS Trusts) provided follow-up data; 49/148 (33.1%) clinicians (27 NHS Trusts) implemented the programme. Attitudes and beliefs shifted towards a biopsychosocial model post-training. Stage 2: 923 patients were enrolled. Patients reported improvements in function (mean change: 1.55; 95%CI: 1.25, 1.86) and pain (-0.84; -1.1, -0.58) at follow-up. The majority rated themselves improved and satisfied with the programme. Online training had good reach into NHS Trusts although, not everyone went onto implement the programme. Improvements in function that were consistent with the original trial were demonstrated.

Identifiants

pubmed: 32795621
pii: S0031-9406(20)30389-8
doi: 10.1016/j.physio.2020.07.003
pii:
doi:

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

4-12

Informations de copyright

Copyright © 2020 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.

Auteurs

Thavapriya Sugavanam (T)

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, United Kingdom; Nuffield Department of Population Health, University of Oxford, United Kingdom.

Esther Williamson (E)

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, United Kingdom. Electronic address: esther.williamson@ndorms.ox.ac.uk.

Beth Fordham (B)

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, United Kingdom. Electronic address: beth.fordham@ndorms.ox.ac.uk.

Zara Hansen (Z)

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, United Kingdom. Electronic address: zara.hansen@ndorms.ox.ac.uk.

Helen Richmond (H)

Primary Healthcare Research Unit, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada. Electronic address: hlrichmond@mun.ca.

Amanda Hall (A)

Primary Healthcare Research Unit, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada. Electronic address: Amanda.Hall@med.mun.ca.

Usama Ali (U)

Nuffield Department of Population Health, University of Oxford, United Kingdom. Electronic address: usama.ali@wolfson.ox.ac.uk.

Bethan Copsey (B)

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, United Kingdom. Electronic address: b.copsey@leeds.ac.uk.

Sarah E Lamb (SE)

Medical School, University of Exeter, United Kingdom. Electronic address: S.E.Lamb@exeter.ac.uk.

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Classifications MeSH