Literature DB >> 22311203

Do personalized feedback messages about activity patterns stimulate patients with chronic low back pain to change their activity behavior on a short term notice?

Marit G H Dekker-van Weering1, Miriam M R Vollenbroek-Hutten, Hermie J Hermens.   

Abstract

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.

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Year:  2012        PMID: 22311203     DOI: 10.1007/s10484-012-9181-6

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  3 in total

Review 1.  An integrative review of personalized feedback interventions for pain and alcohol.

Authors:  Jessica M Powers; Michael J Zvolensky; Joseph W Ditre
Journal:  Curr Opin Psychol       Date:  2019-01-30

Review 2.  Pain Assessment--Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis.

Authors:  Nuno Pombo; Nuno Garcia; Kouamana Bousson; Susanna Spinsante; Ivan Chorbev
Journal:  Int J Environ Res Public Health       Date:  2016-04-13       Impact factor: 3.390

3.  Telemonitoring of Daily Activity and Symptom Behavior in Patients with COPD.

Authors:  Monique Tabak; Miriam M R Vollenbroek-Hutten; Paul D L P M van der Valk; Job van der Palen; Thijs M Tönis; Hermie J Hermens
Journal:  Int J Telemed Appl       Date:  2012-11-25
  3 in total

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