Evidence map›Paper›PMID 36840633›Full record

ArticleNursing open2023

The lived experience of family members of older people who have died by suicide in rural China.

Mengyun Chen, Xiubin Zhang, Brendan McCormack

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

3 authors at 3 institutions in 4 countries.

Mengyun ChenSchool of Nursing, Lanzhou University, Lanzhou, China.
Xiubin ZhangImperial College London, National Heart and Lung Institute, London, UK.ORCID 0000-0003-2660-3937
Brendan McCormackSusan Wakil School of Nursing and Midwifery (inc. Sydney Nursing School), Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Lanzhou University · CNLung Institute · USThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of the study is to provide insight and facilitate a deeper understanding of family members who have experienced their older family member's suicide.

designInterpretative phenomenological analysis (IPA) study.

methodsSemi-structured individual interviews with five family members of older people who died by suicide recruited from a rural area of Shanxi Province, China. Smith's (2009) six steps of IPA was used for data analysis.

resultsThree main themes emerged from the study: (a) Initial psychological reactions; (b) Long-term life effects; (c) Social attitudes. The study shows how the family members of older people who died by suicide have experienced stigmatization and felt largely ignored. A suicide event poses a challenge to the future living quality of the family members. The study also highlights that it is necessary to pay attention to families of older people who died by suicide and providing support is required to improve the quality of life of these family members in rural China.

conclusionThe study adds to the understanding of the lived experience of family members of older people who died by suicide in less economically developed rural areas. PATIENT OR PUBLIC CONTRIBUTION: Patients and the public were not involved in the design, conduct or reporting of this study. Participants of this study helped with recruitment via snowball sampling.

Indexed as

Quality of LifeSuicideAgedEmotionsFamilyHumansStereotypingChinainterpretative phenomenologicalolder peopleruralsuicide

Identifiers

PMID36840633
PMCPMC10277387
OpenAlexW4321851488

What OpenQuestion holds

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LicenceCC BY-NC
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.