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Towards the development of a screening tool to enhance the detection of elder abuse and neglect by emergency medical technicians (EMTs): a qualitative study

Overview of attention for article published in BMC Emergency Medicine, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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7 X users
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1 Facebook page
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1 Google+ user

Citations

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21 Dimensions

Readers on

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99 Mendeley
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Title
Towards the development of a screening tool to enhance the detection of elder abuse and neglect by emergency medical technicians (EMTs): a qualitative study
Published in
BMC Emergency Medicine, June 2016
DOI 10.1186/s12873-016-0084-3
Pubmed ID
Authors

M. Brad Cannell, Katelyn K. Jetelina, Matt Zavadsky, Jennifer M. Reingle Gonzalez

Abstract

To develop a screening tool to enhance elder abuse and neglect detection and reporting rates among emergency medical technicians (EMTs). Our primary aim was to identify the most salient indicators of elder abuse and neglect for potential inclusion on a screening tool. We also sought to identify practical elements of the tool that would optimize EMT uptake and use in the field, such as format, length and number of items, and types of response options available. Qualitative data were collected from 23 EMTs and Adult Protective Services (APS) caseworkers that participated in one of five semi-structured focus groups. Focus group data were iteratively coded by two coders using inductive thematic identification and data reduction. Findings were subject to interpretation by the research team. EMTs and APS caseworks identified eight domains of items that might be included on a screening tool: (1) exterior home condition; (2) interior living conditions; (3) social support; (4) medical history; (5) caregiving quality; (6) physical condition of the older adult; (7) older adult's behavior; and, (8) EMTs instincts. The screening tool should be based on observable cues in the physical or social environment, be very brief, easily integrated into electronic charting systems, and provide a decision rule for reporting guidance to optimize utility for EMTs in the field. We described characteristics of a screening tool for EMTs to enhance detection and reporting of elder abuse and neglect to APS. Future research should narrow identified items and evaluate how these domains positively predict confirmed cases of elder abuse and neglect.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 98 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Researcher 12 12%
Student > Master 12 12%
Student > Bachelor 8 8%
Unspecified 7 7%
Other 18 18%
Unknown 28 28%
Readers by discipline Count As %
Nursing and Health Professions 16 16%
Medicine and Dentistry 14 14%
Social Sciences 14 14%
Psychology 8 8%
Unspecified 7 7%
Other 10 10%
Unknown 30 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2019.
All research outputs
#4,527,763
of 24,256,961 outputs
Outputs from BMC Emergency Medicine
#222
of 810 outputs
Outputs of similar age
#74,764
of 344,835 outputs
Outputs of similar age from BMC Emergency Medicine
#1
of 9 outputs
Altmetric has tracked 24,256,961 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 810 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,835 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them