Use of an Ecological Momentary Assessment Application to Assess the Effects of Auricular Point Acupressure for Chronic Low Back Pain

Wei Chun Lin, Lora Burke, Elizabeth A. Schlenk, Chao Hsing Yeh

Research output: Contribution to journalArticle

Abstract

The purpose of this pilot study was to assess the feasibility and usability of an ecological momentary assessment smartphone application. The app collected real-time data on chronic low back pain and time-contingent ecological momentary assessment surveys during a 4-week auricular point acupressure intervention, and on the consistency between recalled and momentary clinical measures. Eighteen participants received auricular point acupressure treatment weekly for 4 weeks. Each participant was provided a smartphone with the ecological momentary assessment application installed, along with instructions for use. The primary outcomes comprised pain intensity, pain interference with daily activity, sleep quality score, and medication usage. System Usability Scale and adherence were also measured. According to the results, the rate of adherence for completion of the random ecological momentary assessment survey was 87%. The usability score for the ecological momentary assessment application was reported as 78. The average recalled pain intensity was higher than the mean momentary pain intensity. Self-reported average pain interference with daily activities showed a similar result. Spearman rank correlation coefficients were greater than +0.70; P < .01 for the associations among recalled and momentary measurements. In conclusion, the study demonstrated promising adherence rates and supported the usability and feasibility of using an ecological momentary assessment application on a smartphone to collect real-time data on chronic lower back pain, which eliminated recall bias.

Original languageEnglish (US)
Pages (from-to)276-282
Number of pages7
JournalComputers, informatics, nursing : CIN
Volume37
Issue number5
DOIs
StatePublished - May 1 2019

ASJC Scopus subject areas

  • Health Informatics
  • Nursing (miscellaneous)

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