Development and testing of a computerized pain body map in patients with advanced cancer

J Pain Symptom Manage. 2014 Jan;47(1):45-56. doi: 10.1016/j.jpainsymman.2013.02.025. Epub 2013 Jul 12.

Abstract

Context: Pain localization is an important part of pain assessment. Development of pain tools for self-report should include expert and patient input, and patient testing in large samples.

Objectives: To develop a computerized pain body map (CPBM) for use in patients with advanced cancer.

Methods: Three studies were conducted: 1) an international expert survey and a pilot study guiding the contents and layout of the CPBM, 2) clinical testing in an international symptom assessment study in eight countries and 17 centers (N = 533), and 3) comparing patient pain markings on computer and paper body maps (N = 92).

Results: Study 1: 22 pain experts and 28 patients participated. A CPBM with anterior and posterior whole body views was developed for marking pain locations, supplemented by pain intensity ratings for each location. Study 2: 533 patients (286 male, 247 female, mean age 62 years) participated; 80% received pain medication and 81% had metastatic disease. Eighty-five percent completed CPBM as intended. Mean ± SD number of marked pain locations was 1.8 ± 1.2. Aberrant markings (15%) were mostly related to software problems. No differences were found regarding age, gender, cognitive/physical performance, or previous computer experience. Study 3: 70% of the patients had identical markings on the computer and paper maps. Only four patients had completely different markings on the two maps.

Conclusion: This first version of CPBM was well accepted by patients with advanced cancer. However, several areas for improvement were revealed, providing a basis for the development of the next version, which is subject to further international testing.

Keywords: Advanced cancer; computer technology; computers; pain body map; patient-reported outcomes; symptom assessment.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Diagnosis, Computer-Assisted*
  • Female
  • Humans
  • Internationality
  • Male
  • Middle Aged
  • Neoplasms / physiopathology*
  • Pain / drug therapy
  • Pain / physiopathology*
  • Pain Measurement / instrumentation
  • Pain Measurement / methods*
  • Pilot Projects
  • Software
  • Young Adult