Real-time data collection for pain: appraisal and current status

Abstract

Objective: Real-time data capture (RTDC) techniques have rapidly developed with the advent of computer and information technology. We plan to discuss the use of RTDC in the assessment of pain, including issues pertaining to its rationale, sampling protocols, and our opinion on the current status of the methodology.

Design: This is "thought" piece involving no systematic data collection methods.

Results: We described the rationale for using RTDC, including issues in recall bias, the desire for detailed information about pain, and the ability to examine within-person associations between pain and other variables. The mechanics of RTDC implementations were discussed with a focus on sampling protocols and data collection methods. The final section concerned the status of RTDC. Current acceptance of RTDC is evaluated and three issues in the science of RTDC were discussed: the interpretation of differences between recall and the average of momentary assessments for the same period; if RTDC is advancing our understanding of pain; and, the issue of what consumers of pain assessments actually desire. RTDC extensions to feedback based on momentary assessments are also discussed.

Conclusion: Real-time data collection can be a useful methodology for improving our understanding of pain and especially of its dynamic nature in real-world settings.