Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Aug;20(4):544-50.
doi: 10.1111/jep.12115. Epub 2014 Mar 24.

Matching patients to an intervention for back pain: classifying patients using a latent class approach

Martine J Barons  1 , Frances E Griffiths, Nick Parsons, Anca Alba, Margaret Thorogood, Graham F Medley, Sarah E Lamb
Affiliations
Free PMC article

Matching patients to an intervention for back pain: classifying patients using a latent class approach

Martine J Barons et al. J Eval Clin Pract. 2014 Aug.
Free PMC article

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.

Keywords: medical informatics; patient-centred care; person-centred medicine.

PubMed Disclaimer

References

    1. Dionne C. Low back pain. In: Von Korff M, editor; Crombie I, Croft P, Linton S, LeResche L, editors. Epidemiology of Pain. Seattle, WA: International Association for the Study of Pain (IASP) Press; 1999. pp. 283–297.
    1. National Institute for Health and Clinical Excellence. Low Back Pain. Early Management of Persistent Non-Specific Low Back Pain. London: NICE; 2009.
    1. Lamb S, Lall R, Hansen Z, Castelnuovo E, Withers EJ, Nichols V, Griffiths F, Potter R, Szczepura A. Underwood M. A multi-centred randomised controlled trial of a primary-care based cognitive behavioural program for low back pain. The Back Skills Training Trial – ‘BeST’. Health Technol Assess. 2010;14(41):1–253. BeST trial group. - PubMed
    1. Kent P, Keating J. Leboeuf-Yde C. Research methods for subgrouping low back pain. BMC Medical Research Methodology. 2010;10(1):62–78. - PMC - PubMed
    1. McCarthy C, Arnall F, Strimpakos N, Freemont A. Oldham J. The biopsychosocial classification of non-specific low back pain: a systematic review. The Physical Therapy Review. 2004;9:17–30.