Evidence map›Paper›PMID 41458773›Full record

ArticleCureus2025

Death of a Healthcare Member: A Systematic Guide for Hospital Systems.

Joseph A Demirjian, Bethany Bruzzi, Melissa Zukowski, Jessica Bates, Lisa Stoneking

Abstract read
In one paragraph

Article in Cureus, 2025. 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

5 authors.

Joseph A DemirjianEmergency Medicine, University of Arizona College of Medicine - Tucson, Tucson, USA.
Bethany BruzziFamily Medicine, University of Arizona College of Medicine - Tucson, Tucson, USA.
Melissa ZukowskiEmergency Medicine/Pediatric Emergency Medicine, University of Arizona College of Medicine - Tucson, Tucson, USA.
Jessica BatesEmergency Medicine, University of Arizona College of Medicine - Tucson, Tucson, USA.
Lisa StonekingEmergency Medicine, University of Arizona College of Medicine - Tucson, Tucson, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The death of a healthcare team member often has a significant impact on co-workers, hospital systems, friends, and family. A large community can be affected by grief, shock, and stress when faced with the tragedy of death, and there is limited information about the resources and guidelines that should be initiated. In the face of inadequate guidelines, we present a flexible procedural framework designed to effectively manage the series of events after the death of a healthcare team member occurring within or outside the hospital premises. This framework was developed within a prominent level 1 trauma academic medical center situated within a comprehensive healthcare organization. Our proposed outline compiles a contact list and a flow diagram for systematic notification of staff who may be involved in the hospital system during such an event. We reviewed relevant editorials and publications that help inform our method. During this heightened time of stress and grief, we believe it is imperative to consider patient care coverage, privacy and risk mitigation, and the well-being of other team members. Circumstances surrounding the death of team members may vary, but a well-developed, prepared, and organized approach may help avoid miscommunication, reduce confusion, and provide needed services throughout the bereavement period.

Indexed as

deathgrief and bereavementguidelineshealthcare systemshealth system developmenthospital managementmanagement guideline

Identifiers

PMID41458773
PMCPMC12743565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.