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Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol.

Stephen L LutherSusan S ThomasonSunil SabharwalDezon K FinchJames McCartPeter ToyinboLina BouayadMichael E MathenyGlenn Temple GobbelGail Powell-Cope
Published in: JMIR research protocols (2017)
To our knowledge, this is the largest cohort employed to identify PrU risk factors in the United States. It also represents the first time natural language processing and statistical text mining will be used to expand the number of variables available for analysis. A major strength of this quantitative study is that all VHA SCI centers were included in the analysis, reducing potential for selection bias and providing increased power for complex statistical analyses. This longitudinal study will eventually result in a risk prediction tool to assess PrU risk that is reliable and valid, and that is sensitive to this vulnerable population.
Keyphrases
  • healthcare
  • risk factors
  • spinal cord injury
  • autism spectrum disorder
  • smoking cessation
  • climate change
  • health information
  • affordable care act