Literature DB >> 32868748

The STarT Back stratified care model for nonspecific low back pain: a model-based evaluation of long-term cost-effectiveness.

James A Hall1, Sue Jowett1,2, Martyn Lewis2,3, Raymond Oppong1,2, Kika Konstantinou2,4.   

Abstract

ABSTRACT: The STarT Back approach comprises subgrouping patients with low back pain (LBP) according to the risk of persistent LBP-related disability, with appropriate matched treatments. In a 12-month clinical trial and implementation study, this stratified care approach was clinically and cost-effective compared with usual, nonstratified care. Despite the chronic nature of LBP and associated economic burden, model-based economic evaluations in LBP are rare and have shortcomings. This study therefore produces a de novo decision model of this stratified care approach for LBP management to estimate the long-term cost-effectiveness and address methodological concerns in LBP modelling. A cost-utility analysis from the National Health Service perspective compared stratified care with usual care in patients consulting in primary care with nonspecific LBP. A Markov state-transition model was constructed where patient prognosis over 10 years was dependent on physical function achieved at 12 months. Data from the clinical trial and implementation study provided short-term model parameters, with extrapolation using 2 cohort studies of usual care in LBP. Base-case results indicate this model of stratified care is cost-effective, delivering 0.14 additional quality-adjusted life years at a cost saving of £135.19 per patient over a time horizon of 10 years. Sensitivity analyses indicate the approach is likely to be cost-effective in all scenarios and cost saving in most. It is likely this stratified care model will help reduce unnecessary healthcare usage while improving the patient's quality of life. Although decision-analytic modelling is used in many conditions, its use has been underexplored in LBP, and this study also addresses associated methodological challenges.
Copyright © 2020 International Association for the Study of Pain.

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Year:  2021        PMID: 32868748     DOI: 10.1097/j.pain.0000000000002057

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  5 in total

1.  Healthcare utilization and related costs among older people seeking primary care due to back pain: findings from the BACE-N cohort study.

Authors:  Rikke Munk Killingmo; Kjersti Storheim; Danielle van der Windt; Zinajda Zolic-Karlsson; Ørjan Nesse Vigdal; Lise Kretz; Milada Cvancarova Småstuen; Margreth Grotle
Journal:  BMJ Open       Date:  2022-06-20       Impact factor: 3.006

2.  Patients' Views on the Implementation Potential of a Stratified Treatment Approach for Low Back Pain in Germany: A Qualitative Study.

Authors:  Sven Karstens; Sarah Lang; Benjamin Saunders
Journal:  Health Serv Insights       Date:  2020-12-07

3.  Digital Therapeutic Care Apps With Decision-Support Interventions for People With Low Back Pain in Germany: Cost-Effectiveness Analysis.

Authors:  Daniel Lewkowicz; Attila M Wohlbrandt; Erwin Bottinger
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-07       Impact factor: 4.773

4.  Predictors of response following standardized education and self-management recommendations for low back pain stratified by dominant pain location.

Authors:  Anthony V Perruccio; Jessica T Y Wong; Elizabeth M Badley; J Denise Power; Calvin Yip; Y Raja Rampersaud
Journal:  N Am Spine Soc J       Date:  2021-11-07

5.  Reducing the burden of low back pain: results from a new microsimulation model.

Authors:  Jacek A Kopec; Eric C Sayre; Jolanda Cibere; Linda C Li; Hubert Wong; Anya Okhmatovskaia; John M Esdaile
Journal:  BMC Musculoskelet Disord       Date:  2022-08-23       Impact factor: 2.562

  5 in total

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