Evidence map›Paper›PMID 31984415›Full record

ArticleHealth & social work2020

Developing the Emergency Department Elder Mistreatment Assessment Tool for Social Workers Using a Modified Delphi Technique.

Alyssa Elman, Sarah Rosselli, David Burnes, Sunday Clark, Michael E Stern, Veronica M LoFaso, Mary R Mulcare, Risa Breckman, Tony Rosen

Open access · greenAbstract read
In one paragraph

Article in Health & social work, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Screening and Interventions for Elder Mistreatment: Geriatric Emergency Department Guidelines 2.0 Systematic Review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Pooled it
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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

9 authors.

Alyssa Elman
Sarah Rosselli
David Burnes
Sunday Clark
Michael E Stern
Veronica M LoFaso
Mary R Mulcare
Risa Breckman
Tony Rosen

Funding

Identifying Injury Patterns and Forensic Biomarkers Diagnostic of Physical Elder AbuseK76AG054866 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ROSEN, ANTHONY · 2016 to 2021
$1.1M
NIA NIH HHS K76 AG054866
6 · The paper itself

Abstract

Elder mistreatment is common and has serious consequences. The emergency department (ED) may provide a unique opportunity to detect this mistreatment, with social workers often asked to take the lead in assessment and intervention. Despite this, social workers may feel ill-equipped to conduct assessments for potential mistreatment, due in part to a lack of education and training. As a result, the authors created the Emergency Department Elder Mistreatment Assessment Tool for Social Workers (ED-EMATS) using a multiphase, modified Delphi technique with a national group of experts. This tool consists of both an initial and comprehensive component, with 11 and 17 items, respectively. To our knowledge, this represents the first elder abuse assessment tool for social workers designed specifically for use in the ED. The hope is that the ED-EMATS will increase the confidence of ED social workers in assessing for elder mistreatment and help ensure standardization between professionals.

Indexed as

Delphi TechniqueEmergency Service, HospitalMass ScreeningAgedElder AbuseFemaleHumansMaleSocial WorkersSurveys and Questionnairesassessmentelder abuseemergency departmenthospitals

Identifiers

PMID31984415
PMCPMC8454199
OpenAlexW3003399545

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.