Evidence map›Paper›PMID 40018195›Full record

ArticleBMJ public health2024

Hearing, sharing and applying: a qualitative study of the experiences of family caregivers' end-of-life decision-making in Singapore.

Min Li Ong, Pin Sym Foong, See Mieng Tan, Xingyu Xia, Gerald Choon Huat Koh

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Min Li OngSaw Swee Hock School of Public Heath, National University of Singapore, Singapore.
Pin Sym FoongTelehealth Core, National University of Singapore, Singapore.ORCID 0000-0002-4437-8326
See Mieng TanTelehealth Core, National University of Singapore, Singapore.ORCID 0000-0003-2750-6995
Xingyu XiaDepartment of Psychology, National University of Singapore, Singapore.
Gerald Choon Huat KohSaw Swee Hock School of Public Heath, National University of Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to describe the caregivers' end-of-life (EOL) decision-making experience, what made family caregivers feel assured when they were making the right call, and when they felt uncertain or regretful about decisions made. The objective is to describe the decision-making journey and identify how interventions can be developed for these caregivers. Methods: Semi-structured interviews with 14 adult and spousal caregivers were conducted using an interview guide and transcripts were coded inductively via reflexive thematic analysis. Results: First, clarity in communication enhances satisfaction with their decisions. This involves transparency of communication channels within the family unit which is in charge of helping their patient make EOL decisions, and with the healthcare professional. Second, satisfaction was enhanced with clear prognostication of the patient's condition to the family who then used it to discuss their options. Finally, families often elect a lead facilitator within the family unit who manages the decision-making process, and collates multiple perspectives from all the stakeholders. Conclusions: Based on these findings, we recommend that interventions to support family-based decision-making in Singapore should be based on the three principles of hearing patient values, sharing these values with other loved ones and providers and applying these values in collaboration with the providers and family members.

Indexed as

Community HealthEducationPublic Health

Identifiers

PMID40018195
PMCPMC11812833

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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.