Evidence map›Paper›PMID 37803264›Full record

ArticleBMC geriatrics2023

Factors associated with the perceived need for assistance from voluntary services in home-based older adults in Chinese urban areas: a cross-sectional study.

Lei Huang, Hongyan Wu, Fengjian Zhang, Huimin Zhao, Yuqin Chen, Mingjiao Feng, Yanjie You, Xiao Peng, Chunyan Guan, Yilan Liu

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 9 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

10 authors at 2 institutions in 1 country.

Lei HuangDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Hongyan WuDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Fengjian ZhangDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Huimin ZhaoSchool of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yuqin ChenDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Mingjiao FengDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yanjie YouDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Xiao PengDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Chunyan GuanDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yilan LiuDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. yilanl2020@163.com.
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith China's rapidly aging population, meeting the diverse care needs of senior citizens is becoming more challenging. Although voluntary social services have numerous advantages and are popular among older adults, there is little information on the need for assistance from volunteer-based social services, particularly those with a medical background, and influencing factors among urban home-based older adults. This study aimed to assess the need for assistance from voluntary services and related factors among urban home-based older adults in China.

methodsA cross-sectional study was conducted in 2022 on communities in four cities in China. The 27-item Home-Based Older Adults Assistance Need Scale was used to measure the assistance needs of 498 participants aged 60 and above. Multiple linear regression models were conducted to identify salient variables associated with the need for assistance from voluntary services.

resultsThe mean score of the need for assistance from voluntary services was 88.60 ± 24.37. The mean scores of the items examining four dimensions, namely, health maintenance, visiting communication, social intercourse, and daily life, were 3.64 ± 1.08, 3.49 ± 1.04, 3.33 ± 1.08, and 2.78 ± 1.08, respectively. The level of depression, willingness to assist older adults, attaching importance to health preservation, ability to self-comfort, desire to accept assistance from others, and the presence of more children or none at all were all positively correlated with the perceived need for assistance from voluntary services. In contrast, social care obtained from visiting medical institutions was negatively correlated. These seven factors explained 28.5% of the total variance.

conclusionsUrban home-based older adults in China were found to have significant requirements for assistance from volunteer services, and several complex factors were associated with more significant assistance needs. These findings may encourage the extremely limited numbers of social volunteers, particularly those with a medical background, to identify priorities in providing assistance services to the large numbers of urban home-based older adults and thus improve service delivery.

Indexed as

AgingEast Asian PeopleAgedChinaCross-Sectional StudiesHumansSocial SupportAssistance needsHome-basedOlder adultsVoluntary servicesVolunteer

Identifiers

PMID37803264
PMCPMC10557159
OpenAlexW4387401702

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.