Evidence map›Paper›PMID 40600005›Full record

ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2024

Considerations for Developing Patient-centered Clinical Decision Support: Preventing Older Adult Falls after Emergency Department Visits.

Hanna J Barton, Apoorva Maru, Olivia Lin, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

Abstract read
In one paragraph

Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hanna J BartonBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison.
Apoorva MaruBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison.
Olivia LinDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison.
Margaret A LeafDepartment of Information Services, UW Health.
Daniel J HekmanBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison.
Douglas A WiegmannDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison.
Manish N ShahBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison.
Brian W PattersonBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison.

Funding

AHRQ HHS R18 HS027735
6 · The paper itself

Abstract

To support the ongoing adaptation and implementation of an Emergency Department (ED)-based clinical decision support (CDS) tool to prevent future falls, we interviewed older adults (n=15) during their ED stay. We elicited their feedback on the written and verbal content of the existing CDS, feelings about the automated risk-screening aspect of the CDS and asked them to identify barriers that would prevent them from following up with the Falls Clinic to which the CDS supports referral placements. Our findings suggest that the older adults interviewed saw the CDS simply as another tool that they trusted their ED physician/APP to interact with. The identified barriers to follow-up reflect common access barriers such as transportation availability and clinic distance. For CDS tools to impact real-life patient outcomes, we must consider patient's needs and limitations and appropriately match interventions.

Identifiers

PMID40600005
PMCPMC12212639

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.