Identifying psychosocial characteristics that predict outcome to the UPLIFT programme for people with persistent back pain: protocol for a prospective cohort study

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Author(s)
Thomson, Hayley
Evans, Kerrie
Dearness, Jonathon
Kelley, John
Conway, Kylie
Morris, Collette
Bisset, Leanne
Scholten-Peeters, Gwendolijne
Cuijpers, Pim
Coppieters, Michel W
Griffith University Author(s)
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2019
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Abstract

Introduction: Prognostic screening of people with low back pain (LBP) improves utilisation of primary healthcare resources. Whether this also applies to secondary healthcare remains unclear. Therefore, this study aims to develop prognostic models to determine at baseline which patients with persistent LBP are likely to have a good and poor outcome to a 5-week programme of combined education and exercise (‘UPLIFT’) delivered in a secondary healthcare setting.

Methods and analysis: A prospective cohort study of 246 people with persistent LBP will be conducted in a secondary healthcare outpatient setting. Patients will be recruited from a physiotherapy-led neurosurgical screening clinic. Demographic data, medical history and psychosocial characteristics will be recorded at baseline. Fear avoidance beliefs, pain self-efficacy, LBP treatment beliefs, pain catastrophising, perceived injustice, depression, anxiety and stress, disability level, pain intensity and interference, health status and social connectedness will be considered as potential prognostic variables, which will be assessed using self-reported questionnaires. Participants will attend the UPLIFT programme, consisting of weekly 90 min group sessions that combine interactive education sessions and a graded exercise programme. The outcome measure to identify good and poor outcome is the Global Rating of Change scale, assessed at completion of the UPLIFT programme and at 6 months follow-up. Multiple imputation analyses will be performed for missing values. Prognostic models will be developed using multivariable logistic regression analyses, with bootstrapping techniques for internal validation. We will calculate the explained variance of the models and the area under the receiver operating characteristic curve. Furthermore, we will determine whether participation in the UPLIFT programme is associated with changes in psychosocial characteristics.

Ethics and dissemination: Gold Coast Health Service Human Research Ethics Committee (HREC/18/QGC/41) and the Griffith University Human Research Ethics Committee (GU Ref No: 2018/408) approved the study. Dissemination of findings will occur via peer-reviewed publications and conference presentations.

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BMJ Open

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9

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8

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© The Author(s) 2019. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial.

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Clinical sciences

Health services and systems

Public health

Other health sciences

Biomedical and clinical sciences

Health sciences

Psychology

biopsychosocial

chronic pain

disability

pain education

prognosis

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Thomson, H; Evans, K; Dearness, J; Kelley, J; Conway, K; Morris, C; Bisset, L; Scholten-Peeters, G; Cuijpers, P; Coppieters, MW, Identifying psychosocial characteristics that predict outcome to the UPLIFT programme for people with persistent back pain: protocol for a prospective cohort study., BMJ Open, 2019, 9 (8), pp. e028747-

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