Evidence map›Paper›PMID 39810129›Full record

ArticleBMC palliative care2025

Assessing the relationship between the distress levels in patients with irreversible terminal delirium and the good quality of death from the perspective of bereaved family.

Pei Zhou, Cheng Tang, Jingyi Wang, Chunhua Zhang, Jun Zhong

Abstract read
In one paragraph

Article in BMC palliative care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Pei Zhou *Zhongnan Hospital of Wuhan University, Hubei, China.
Cheng Tang *Zhongnan Hospital of Wuhan University, Hubei, China.
Jingyi WangZhongnan Hospital of Wuhan University, Hubei, China.
Chunhua ZhangZhongnan Hospital of Wuhan University, Hubei, China. zhangchua@whu.edu.cn.
Jun ZhongZhongnan Hospital of Wuhan University, Hubei, China. zn001224@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on achieving a good death for terminally delirious patients is scarce, with limited knowledge about the level of good death and influencing factors. This study investigates the level of good death among delirium patients, factors influencing it, and the correlation between distress, end-of-life care needs, and achieving a good death by surveying bereaved family members of deceased patients in Chinese hospitals.

methodsThis cross-sectional study from January 2022 to January 2024 was conducted among bereaved family members of patients using an online questionnaire. The questionnaires consisted of (1) participants' demographic and disease-related questionnaires; (2) the Good Death Inventory (GDI) China version; (3) Terminal Delirium-Related Distress Scale (TTDS) China version; (4) the Care Evaluation Scale - short form (CES) China version. All data were analyzed using descriptive statistics, and the associated factors influencing good death were analyzed by multiple linear regression analyses.

resultA total of 263 subjects were enrolled. More males (63.5%) participated than females (36.5%), the mean age was 75.35 ± 13.90 years. Good quality of death was significantly and negatively related to the distress in patients with irreversible terminal delirium (r = -0.458, P<0.01).The multiple linear regression model indicates that TDDS score, CES score, types of diseases, smoking history, nutritional deficiency are important factor affecting the good quality of death.

conclusionsThe good quality of death from the perspective of bereaved family, a negative correlation was found between the distress in patients with irreversible terminal delirium and good death. Medical staff should be more aware of good quality of death in patients, future research should expand sample sizes to include more demographic data, and explore the concept of a good death across different cultural contexts.

Indexed as

BereavementDeliriumFamilyStress, PsychologicalTerminal CareAdultAgedAged, 80 and overAttitude to DeathChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychometricsBereaved familyDistressEnd-of-life careGood quality of deathIrreversible terminal delirium

Identifiers

PMID39810129
PMCPMC11734416

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LicenceCC BY-NC-ND
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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.