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Developing standard data for elder abuse multidisciplinary teams: A critical objective.

David BurnesDarin KirchinAlyssa ElmanRisa BreckmanMark S LachsTony Rosen
Published in: Journal of elder abuse & neglect (2020)
Multidisciplinary teams (MDTs) represent a prominent and growing form of elder abuse intervention in communities across the U.S. and around the world. Despite the proliferation and promise of MDTs as a model of elder abuse intervention, the field lacks infrastructure, including a standardized data collection strategy, to facilitate a coordinated and informed MDT effort. This commentary presents an exploratory study, which sought to examine existing strategies of case-level electronic data collection implemented by MDTs across the U.S. Using a snowball sampling strategy, we identified 11 MDTs using an electronic data collection strategy. Our analysis found a tremendous range in both the extent and nature of data collection across MDTs, yet it identified common domains of data. A standardized MDT data collection strategy would benefit several MDT stakeholders, including coordinators tracking everyday operations, funders requiring reporting, and researchers conducting large-scale comparative research to identify best MDT practices.
Keyphrases
  • electronic health record
  • big data
  • randomized controlled trial
  • emergency department
  • healthcare
  • data analysis
  • machine learning
  • artificial intelligence
  • deep learning
  • quality improvement