Evidence map›Paper›PMID 38685043›Full record

ArticleBMC health services research2024

The experiences and needs of older adults receiving voluntary services in Chinese nursing home organizations: a qualitative study.

Lin Li, Qin Shen, Junxian Wu

Abstract read
In one paragraph

Article in BMC health services research, 2024. 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

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

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

3 authors.

Lin LiSchool of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Qin ShenSchool of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang, China. zaixiaoyanjiusheng@163.com.
Junxian WuSchool of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults living in nursing home organizations are eager to get voluntary help, however, their past experiences with voluntary services are not satisfactory enough. To better carry out voluntary services and improve the effectiveness of services, it is necessary to have a deeper understanding of the experiences and needs of older adults for voluntary services.

methodsThe purposive sampling method was used to select 14 older adults from two nursing home organizations in Hangzhou and conduct semi-structured interviews, Collaizzi's seven-step method was used to analyze the data.

resultsOlder adults in nursing home organizations have both beneficial experiences and unpleasant service experiences in the process of receiving voluntary services; Beneficial experiences include solving problems meeting needs and feeling warmth and care, while unpleasant service experiences include the formality that makes it difficult to benefit truly, lack of organization, regularity, sustainability, and the mismatch between service provision and actual demands. The needs for voluntary services mainly focuses on emotional comfort, Cultural and recreational, and knowledge acquisition.

conclusionOlder adults in nursing home organizations have varied voluntary experiences, and their voluntary service needs are diversified. Voluntary service needs of older adults should be accurately assessed, and voluntary service activities should be focused upon.

Indexed as

Nursing HomesQualitative ResearchAgedAged, 80 and overChinaEast Asian PeopleFemaleHealth Services Needs and DemandHumansInterviews as TopicMaleNeeds AssessmentVolunteersExperienceNeedsNursing home organizationsQualitative researchVoluntary

Identifiers

PMID38685043
PMCPMC11059588

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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.