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Author Notes:

Dr Brad Cannell; michael.b.cannell@uth.tmc.edu

The authors wish to acknowledge MedStar Mobile Healthcare, Texas Adult Protective Services, Amanda Robbins and the Fort Worth Safe Communities Coalition for their continued support and dedication in this project.

BC, JRG, MDL and JW conceived the study protocol and obtained funding for the study. BC, JW, MDL, JB and MP made substantial contributions to translating the study’s funding proposal into the current manuscript.

Competing interests: None declared.

Subjects:

Research Funding:

This research was supported by the National Institute on Ageing of the National Institutes of Health under Award Number R01AG059993.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Medicine, General & Internal
  • General & Internal Medicine
  • geriatric medicine
  • accident & emergency medicine
  • public health
  • MULTIPLE-IMPUTATION
  • VERBAL ABUSE
  • MORTALITY
  • NEGLECT
  • SERVICES
  • RISK
  • PREVALENCE
  • VIOLENCE
  • VICTIMS
  • HEALTH

Validation of the detection of elder abuse through emergency care technicians (DETECT) screening tool: a study protocol

Tools:

Journal Title:

BMJ OPEN

Volume:

Volume 10, Number 9

Publisher:

, Pages e037170-e037170

Type of Work:

Article | Final Publisher PDF

Abstract:

Introduction Elder mistreatment (EM) is a high prevalence threat to the health and well-being of older adults in the USA. Medics are well-positioned to help with identification of older adults at risk for EM, however, field robust screening tools appropriate for efficient, observation-based screening are lacking. Prior work by this team focused on the development and initial pilot testing of an observation-based EM screening tool named detection of elder abuse through emergency care technicians (DETECT), designed to be implemented by medics during the course of an emergency response (911) call. The objective of the present work is to validate and further refine this tool in preparation for clinical dissemination. Methods and analysis Approximately 59 400 community-dwelling older adults who place 911 calls during the 36-month study observation period will be screened by medics responding to the call using the DETECT tool. Next, a random subsample of 2520 of the 59 400 older adults screened will be selected to participate in a follow-up interview approximately 2 weeks following the completion of the screening. Follow-up interviews will consist of a medic-led semistructured interview designed to assess the older adult's likelihood of abuse exposure, physical/mental health status, cognitive functioning, and to systematically evaluate the quality and condition of their physical and social living environment. The data from 25% (n=648) of these follow-up interviews will be presented to a longitudinal, experts and all data panel for a final determination of EM exposure status, representing the closest proxy to a a € gold standard' measure available. Ethics and dissemination This study has been reviewed and approved by the Committee for the Protection of Human Subjects at the University of Texas School of Public Health. The results will be disseminated through formal presentations at local, national and international conferences and through publication in peer-reviewed scientific journals.

Copyright information:

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/).
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