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Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review.

Iyubanit Rodríguez1, Valeria Herskovic1, Carmen Gerea1

  • 1Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile.

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Summary
This summary is machine-generated.

Patient monitoring using technology can improve care quality and reduce costs. This study reviewed technologies for monitoring adults with pain and proposed a contextual information model for better patient situation assessment.

Keywords:
painpatient monitoringsystematic reviewtechnologyubiquitous and mobile computing

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Digital Health

Background:

  • Pain is a leading cause of hospital visits, making patient monitoring crucial for improving treatment outcomes and reducing healthcare costs.
  • While factors affecting pain have been studied, a comprehensive review of contextual information captured by monitoring systems is lacking.

Purpose of the Study:

  • To systematically review technologies used for monitoring adults experiencing pain.
  • To develop a model of contextual information for designing pain monitoring applications and devices.

Main Methods:

  • A systematic literature search was conducted from 2005-2015 across medical and computer science databases (PubMed, Science Direct, ACM Digital Library, IEEE Xplore).
  • Article selection involved duplicate removal, title/abstract screening, and full-text review.

Main Results:

  • 87 articles were analyzed, with 53 (61%) utilizing technologies for contextual data collection.
  • A five-dimension model of context information (activity, identity, wellness, environment, physiological) was proposed, encompassing 49 types of information.
  • Wearable technologies were prevalent for pain monitoring, enabling realistic context capture; research gaps exist for older adults with cognitive or digital literacy challenges.

Conclusions:

  • Designing effective pain monitoring devices requires careful selection of contextual information to understand patient situations without user burden.
  • The proposed contextual information model can guide researchers in selecting relevant data points for monitoring adults with pain.