Predictors of response in PROMIS-global in a chronic low back pain specialty clinic: STarTBack and chronic overlapping pain conditions

Author:

Zheng Patricia1,Ewing Susan2,Tang Angelina3,Black Dennis2,Hue Trisha2,Lotz Jeffrey1,Peterson Thomas14,Torres-Espin Abel567,O’Neill Conor1

Affiliation:

1. Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA

2. Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA

3. School of Medicine, University of California, San Francisco, CA, USA

4. Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA

5. Department of Neurological Surgery, University of California, San Francisco, CA, USA

6. Department of Physical Therapy, University of Alberta, Edmonton, AB, Canada

7. School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada

Abstract

BACKGROUND: Tools, such as the STarTBack Screening Tool (SBT), have been developed to identify risks of progressing to chronic disability in low back pain (LBP) patients in the primary care population. However, less is known about predictors of change in function after treatment in the specialty care population. OBJECTIVE: We pursued a retrospective observational cohort study involving LBP patients seen in a multidisciplinary specialty clinic to assess which features can predict change in function at follow-up. METHODS: The SBT was administered at initial visit, and a variety of patient characteristics were available in the chart including the presence of chronic overlapping pain conditions (COPCs). Patient Reported Outcomes Measurement Information System-10 (PROMIS-10) global physical health (PH) and global mental health (MH) were measured at baseline and at pragmatic time points during follow-up. Linear regression was used to estimate adjusted associations between available features and changes in PROMIS scores. RESULTS: 241 patients were followed for a mean of 17.0 ± 7.5 months. Mean baseline pain was 6.7 (SD 2.1), PROMIS-10 global MH score was 44.8 (SD 9.3), and PH score was 39.4 (SD 8.6). 29.7% were low-risk on the SBT, 41.8% were medium-risk, and 28.5% were high-risk. Mean change in MH and PH scores from baseline to the follow-up questionnaire were 0.86 (SD 8.11) and 2.39 (SD 7.52), respectively. Compared to low-risk patients, high-risk patients had a mean 4.35 points greater improvement in their MH score (p= 0.004) and a mean 3.54 points greater improvement in PH score (p= 0.006). Fewer COPCs also predicted greater improvement in MH and PH. CONCLUSIONS: SBT and the presence of COPC, which can be assessed at initial presentation to a specialty clinic, can predict change in PROMIS following treatment. Effort is needed to identify other factors that can help predict change in function after treatment in the specialty care setting.

Publisher

IOS Press

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