Pain and Pain Management among University Students: Online Survey and Web-Based Education

Mun Yee Mimi Tse, Angel Tang, Andrea Budnick, Sheung Mei Shamay Ng, Suey Shuk Yu Yeung

Research output: Journal article publicationReview articleAcademic researchpeer-review

14 Citations (Scopus)

Abstract

Pain is common among university students. Unrelieved pain has adverse impacts on their quality of life. In this study, a pain management Web site was developed to distribute an online survey and provide Web-based pain education to university students. Participants were recruited from eight universities in Hong Kong using snowball sampling. The online survey included 37 items examining pain situations, pain management strategies, knowledge about self-medication, and demographic data of the participants. A total of 387 students participated and over 90 percent of them reported pain in the past 6 months. Around one-third of participants did not take any action to manage their pain. Pharmacological method was the most common strategy for students to relieve pain (37.2 percent). The use of over-the-counter (OTC) drug for pain relief was high (n = 214). However, OTC drug knowledge score was significantly higher among health-related group than nonhealth-related group (p < 0.001). There were 188 students who also read the Web-based pain education and completed the evaluation on its usefulness. Nonhealth-related students reported significantly higher scores of self-perceived usefulness for the online education than the health-related students (p < 0.001). Findings suggested the need to consider the service users' background when developing online education program in the future.
Original languageEnglish
Pages (from-to)305-313
Number of pages9
JournalCyberpsychology, Behavior, and Social Networking
Volume20
Issue number5
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • education
  • online
  • pain management
  • university students
  • Web-based

ASJC Scopus subject areas

  • Social Psychology
  • Communication
  • Applied Psychology
  • Human-Computer Interaction
  • Computer Science Applications

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