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Matching patients to an intervention for back pain : classifying patients using a latent class approach
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Barons, Martine J., Griffiths, Frances, Parsons, Nicholas R., Alba, Anca, Thorogood, Margaret, Medley, Graham and Lamb, S. E. (Sallie E.) (2015) Matching patients to an intervention for back pain : classifying patients using a latent class approach. Journal of Evaluation in Clinical Practice, Volume 20 (Number 4). pp. 544-550. doi:10.1111/jep.12115 ISSN 1356-1294.
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Official URL: http://dx.doi.org/10.1111/jep.12115
Abstract
Rationale, aims and objectives
Classification of patients with back pain in order to inform treatments is a long-standing aim in medicine. We used latent class analysis (LCA) to classify patients with low back pain and investigate whether different classes responded differently to a cognitive behavioural intervention. The objective was to provide additional guidance on the use of cognitive behavioural therapy to both patients and clinicians.
Method
We used data from 407 participants from the full study population of 701 with complete data at baseline for the variables the intervention was designed to affect and complete data at 12 months for important outcomes. Patients were classified using LCA, and a link between class membership and outcome was investigated. For comparison, the latent class partition was compared with a commonly used classification system called Subgroups for Targeted Treatment (STarT).
Results
Of the relatively parsimonious models tested for association between class membership and outcome, an association was only found with one model which had three classes. For the trial participants who received the intervention, there was an association between class membership and outcome, but not for those who did not receive the intervention. However, we were unable to detect an effect on outcome from interaction between class membership and the intervention. The results from the comparative classification system were similar.
Conclusion
We were able to classify the trial participants based on psychosocial baseline scores relevant to the intervention. An association between class membership and outcome was identified for those people receiving the intervention, but not those in the control group. However, we were not able to identify outcome associations for individual classes and so predict outcome in order to aid clinical decision making. For this cohort of patients, the STarT system was as successful, but not superior.
Item Type: | Journal Article | ||||||||
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Subjects: | R Medicine > RC Internal medicine | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Research Centres > Centre for Complexity Science Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Clinical Trials Unit Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Mental Health and Wellbeing Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Library of Congress Subject Headings (LCSH): | Backache -- Treatment, Cognitive therapy | ||||||||
Journal or Publication Title: | Journal of Evaluation in Clinical Practice | ||||||||
Publisher: | Wiley-Blackwell Publishing Ltd. | ||||||||
ISSN: | 1356-1294 | ||||||||
Official Date: | August 2015 | ||||||||
Dates: |
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Volume: | Volume 20 | ||||||||
Number: | Number 4 | ||||||||
Page Range: | pp. 544-550 | ||||||||
DOI: | 10.1111/jep.12115 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 29 December 2015 | ||||||||
Date of first compliant Open Access: | 29 December 2015 |
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