Pain Self-Efficacy Questionnaire (PSEQ)

The Pain Self-Efficacy Questionnaire (PSEQ) is a 10-item questionnaire developed to assess the confidence people aged 18+ with ongoing pain have in performing activities while in pain (Nicholas, 2007). The PSEQ is applicable to all persisting pain presentations. It enquires into the level of self-efficacy regarding a range of functions, including household chores, socialising, work, as well as coping with pain without medication and is helpful in assessing the impact that pain is having on a respondent’s life. 

FAQ

The PSEQ measures pain self-efficacy – a patient’s confidence in performing activities despite ongoing pain – rather than pain intensity or disability levels. This distinction is crucial because self-efficacy beliefs strongly predict functional outcomes, treatment engagement, and long-term recovery independent of pain severity. The PSEQ provides unique clinical value by identifying patients who may benefit from psychological interventions, predicting treatment dropout risk, and guiding intervention timing. With excellent psychometric properties (Cronbach’s α = 0.92-0.93) and validation across 14+ languages, it offers a brief 2-3 minute assessment that complements rather than replaces pain intensity measures, providing essential information for comprehensive pain management planning.

PSEQ scores range from 0-60, with higher scores indicating greater self-efficacy. Using normative data from 13,343 chronic pain patients: scores ≥40 (90th percentile) indicate high self-efficacy associated with successful return to work; scores 18-29 (48th-75th percentile) represent moderate self-efficacy; scores 5-17 (12th-45th percentile) suggest low self-efficacy requiring targeted intervention; and scores 0-4 (<10th percentile) indicate very low self-efficacy needing intensive support. Critically, scores below 22 (55th percentile) are associated with twice the likelihood of daily opioid use, making this a key threshold for identifying patients who may benefit from self-efficacy interventions before or alongside pharmacological treatments.

 

A change of 6.65 points represents the minimal clinically important difference (0.5 standard deviation) for detecting meaningful improvement or decline in pain self-efficacy. This threshold provides a standardized approach for interpreting change scores across treatment episodes. For chronic low back pain specifically, established minimal clinically important differences range from 5.5-8.5 points. Changes below this threshold likely represent normal fluctuation rather than true clinical change. The PSEQ demonstrates good sensitivity to change (effect sizes 0.53-0.73) and should be administered at treatment initiation, completion, and 3-6 month follow-up to capture meaningful clinical improvements.

The PSEQ is strongly validated across multiple chronic musculoskeletal conditions including low back pain, neck pain, fibromyalgia, osteoarthritis, and upper limb disorders. It’s appropriate for adults 18+ with chronic pain and has robust validation in 14 languages. However, important limitations include: no validation in pediatric populations (<18 years), insufficient evidence for neuropathic pain and cancer pain, contraindication in moderate-severe dementia or cognitive impairment, and limited data in post-surgical pain contexts. The instrument is designed for ongoing/chronic pain rather than acute episodes, so use with first-time pain experiences requires clinical judgment.

The PSEQ should never be used as a standalone measure but as part of a multidimensional assessment. The optimal core battery combines PSEQ with Depression Anxiety Stress Scales (DASS-21) for mood and stress assessment, Fatigue Assessment Scale (FAS) for chronic fatigue evaluation, and Short Health Anxiety Inventory (SHAI) for health anxiety screening, providing non-redundant information across key pain-related domains. Administer at four key timepoints: initial assessment, treatment start, treatment completion, and 3-6 month follow-up. The excellent test-retest reliability (ICC = 0.86) and minimal practice effects support this schedule, allowing sufficient time for meaningful clinical change while maintaining practical feasibility in busy clinical settings.

 

Developer

Nicholas, M. K. (2007). The pain self-efficacy questionnaire: Taking pain into account. European Journal of Pain, 11(2), 153-163. https://doi.org/10.1016/j.ejpain.2005.12.008

References

Adams, J. H., & Williams, A. C. D. C. (2003). What affects return to work for graduates of a pain management program with chronic upper limb pain? Journal of Occupational Rehabilitation, 13(2), 91-106. https://doi.org/10.1023/A:1022599731391

Coughlan, G. M., Ridout, K. L., Williams, A. C. D. C., & Richardson, P. H. (1995). Attrition from a pain management program. British Journal of Clinical Psychology, 34(3), 471-479. https://doi.org/10.1111/j.2044-8260.1995.tb01481.x

Nicholas, M. K., Costa, D. S. J., Blanchard, M., Tardif, H., Asghari, A., & Blyth, F. M. (2019). Normative data for common pain measures in chronic pain clinic populations: Closing a gap for clinicians and researchers. Pain, 160(5), 1156-1165. https://doi.org/10.1097/j.pain.0000000000001496

Mo, K. C., Gupta, A., Movsik, J., Covarrubius, O., Greenberg, M., Riley, L. H., Kebaish, K. M., Neuman, B. J., & Skolasky, R. L. (2023). Pain Self-Efficacy (PSEQ) score of <22 is associated with daily opioid use, back pain, disability, and PROMIS scores in patients presenting for spine surgery. The Spine Journal, 23(5), 723–730. https://doi.org/10.1016/j.spinee.2022.12.015

Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2003). Interpretation of changes in health-related quality of life: The remarkable universality of half a standard deviation. Medical Care, 41(5), 582–592. https://doi.org/10.1097/01.MLR.0000062554.74615.4C

Ralphs, J. A., de C Williams, A. C., Richardson, P. H., Pither, C. E., & Nicholas, M. K. (1994). Opiate reduction in chronic pain patients: A comparison of patient-controlled reduction and staff controlled cocktail methods. Pain (Amsterdam), 56(3), 279–288. https://doi.org/10.1016/0304-3959(94)90166-X

Turner, D., Schünemann, H. J., Griffith, L. E., Beaton, D. E., Griffiths, A. M., Critch, J. N., & Guyatt, G. H. (2010). The minimal detectable change cannot reliably replace the minimal important difference. Journal of Clinical Epidemiology, 63(1), 28–36. https://doi.org/10.1016/j.jclinepi.2009.01.024