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Developing Algorithm Based on Activity and Mobility for Pressure Ulcer Risk Among Older Adult Residents: Implications for Evidence-Based Practice.

Pinar AvsarAglecia BudriDeclan PattonSimone WalshZena Moore
Published in: Worldviews on evidence-based nursing (2021)
Using traditional methods for the assessment of movement does not provide insight into the protective nature of the movement. Given that both low- and high-moving patients can develop tissue damage, it is important to focus on the assessment of movement using more objective measures and algorithms, which enable real-time assessment of the protective nature of the movement. This would enable development of person-centered PU prevention strategies to reduce the burden of this significant healthcare problem.
Keyphrases
  • healthcare
  • machine learning
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • oxidative stress
  • peritoneal dialysis
  • young adults
  • risk factors
  • patient reported outcomes
  • health information