Do Personalized Feedback Messages about Activity Patterns Stimulate Patients with Chronic Low Back Pain to Change their Activity Behavior on a Short Term Notice?
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The aim of this study was to explore whether patients responded to personalized messages on top of continuous visual feedback by changes in activity patterns and whether this response is related to the stages of change and the pain intensity levels. Patients wore a movement sensor and a PDA for 2 weeks and received continuously feedback and time-related messages to influence activity behavior. The response was calculated by calculating the activity 30 min before and after a message. In addition, the readiness to change was measured with the Stage of Change questionnaire and pain intensity was measured on a visual analogue scale. Sixteen patients participated, receiving a total of 517 messages. Overall, patients responded to personalized messages (p < .049), with a higher response in the morning. Patients in different stages of change responded differently to the messages (p = .009) and the response was significantly related to the pain intensity levels (Pearson correlation −.226) in the second week of feedback. This study suggests that personalized messages have the potential to influence activity behavior. It seems relevant to take time of the day, the stages of change and pain intensity levels of the patient into account to further optimize the feedback strategy used.
KeywordsPersonalized feedback Daily activities Accelerometry Chronic low back pain
- Bickmore, T., Gruber, A., & Intille, S. (2008). Just-in-time automated counseling for physical activity promotion. AMIA Annual Symposium Proceedings, 880.Google Scholar
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New Jersey: Lawrence Erlbaum.Google Scholar
- Prochaska, J. O., & Velicer, W. F. (1997). The transtheoretical model of health behavior change. American Journal of Health Promotion, 12(1), 38–48.Google Scholar
- Spenkelink, C. D., Hutten, M. M., Hermens, H. J., & Greitemann, B. O. (2002). Assessment of activities of daily living with an ambulatory monitoring system: A comparative study in patients with chronic low back pain and nonsymptomatic controls. Clinical Rehabilitation, 16, 16–26.PubMedCrossRefGoogle Scholar
- van Tulder, M. W., Koes, B., Malmivaara, A. (2006). Outcome of non-invasive treatment modalities on back pain: An evidence-based review. European Spine Journal (Suppl 1), S64–S81. (Epub 2005 1. Review).Google Scholar
- van Weering, M. G. H., Vollenbroek-Hutten, M. M. R., Hermens, H. J. (2011). Potential value of an activity-based feedback system for treatment of patients with chronic low back pain. Submitted.Google Scholar
- Verbunt, J. A., Smeets, R. J., Wittink, H. M. (2010). Cause or effect? Deconditioning and chronic low back pain. Pain 149, 428–430. (Epub 2010 12. Review).Google Scholar