Evidence map›Paper›PMID 32912985›Full record

ArticleBMJ open2020

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

Brad Cannell, Julie Weitlauf, Melvin D Livingston, Jason Burnett, Megin Parayil, Jennifer Reingle Gonzalez

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Brad CannellEpidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Dallas, Texas, USA Michael.B.Cannell@uth.tmc.edu.ORCID 0000-0002-8711-6772
Julie WeitlaufPsychiatry, Stanford University, Palo Alto, California, USA.
Melvin D LivingstonBehavioral Sciences and Health Education, Emory University Woodruff Health Sciences Center, Atlanta, Georgia, USA.
Jason BurnettDivision of Geriatric and Palliative Medicine, UTHealth McGovern Medical School, Houston, Texas, USA.
Megin ParayilEpidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Dallas, Texas, USA.ORCID 0000-0003-1739-1629
Jennifer Reingle GonzalezPopulation Health, Meadows Mental Health Policy Institute, Dallas, Texas, USA.

Funding

Detection of Elder abuse Through Emergency Care Technicians (DETECT)R01AG059993 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CANNELL, MICHAEL BRADLEY · 2018 to 2022
$1.7M
NIA NIH HHS R01 AG059993
6 · The paper itself

Abstract

introductionElder 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 '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.

Indexed as

Elder AbuseAgedDelivery of Health CareHumansIndependent LivingMass ScreeningPrevalenceaccident & emergency medicinegeriatric medicinepublic health

Identifiers

PMID32912985
PMCPMC7485249

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.