355
Views
13
CrossRef citations to date
0
Altmetric
Original

Pilot study of a 4-week Pain Coping Strategies (PCS) programme for the chronic pain patient

, , &
Pages 199-203 | Accepted 01 Apr 2006, Published online: 07 Jul 2009
 

Abstract

Purpose. A 4-week Pain Coping Strategies (PCS) programme has been developed for chronic pain patients who may still be undergoing medical interventions but who would benefit from learning pain management skills. The long-term negative behaviours associated with chronic pain may be prevented by introducing pain management strategies at an earlier stage. The PCS programme combines all the fundamental aspects of the traditional Pain Management Programme including exercise, relaxation, pacing, medication review, pain pathways, posture and challenging negative thoughts.

Method. The study compared 31 patients' mood, functional status and physical ability pre and 6 weeks post the programme using the Hospital Anxiety and Depression Scale (HAD), Canadian Occupational Performance Measure (COPM) and a series of physical tests. A paired samples t-test showed a significant improvement in levels of depression and anxiety, functional status and physical ability.

Results. The results reveal that an early intervention programme may be effective for chronic pain patients by promoting self-management and teaching positive coping strategies.

Conclusions. The current study has found promising results for a brief early intervention for chronic pain, regardless of completion of medical interventions.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 374.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.