Evidence map›Paper›PMID 36088321›Full record

ArticleBMC health services research2022

Factors related to the social network of core members of elderly care service social organizations: a cross-sectional study.

Zhengsheng Wang, Xingxi Zhang, Liu Liu, Ling Tang, Ying Zhu, Zhongliang Bai, Ren Chen

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Zhengsheng WangSchool of Health Services Management, Anhui Medical University, Hefei, 230032, China.
Xingxi ZhangThe Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Liu LiuThe First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, China.
Ling TangSchool of Health Services Management, Anhui Medical University, Hefei, 230032, China.
Ying ZhuSchool of Health Services Management, Anhui Medical University, Hefei, 230032, China.
Zhongliang BaiSchool of Health Services Management, Anhui Medical University, Hefei, 230032, China. baizhongliang@ahmu.edu.cn.
Ren ChenSchool of Health Services Management, Anhui Medical University, Hefei, 230032, China. chenren2006@hotmail.com.

Funding

Bai Zhongliang No. 202106f01050045Chen Ren No. 71874002 and 72174001Liu Liu No. 2020yfyzc54
6 · The paper itself

Abstract

backgroundThe social network of the core members of elderly care service social organizations could affect the performance of the organization, while studies concerning its related factors are limited. We aimed to explore factors that are associated with the social network of core members from elderly care service social organizations and provide references and suggestions for improving elderly care services.

methodsThis cross-sectional study employed a multi-stage stratified sampling method, and collected data concerning social network, demographic information and occupation. Univariate analysis and binary logistic regression were used to analyze factors that could affect the social network of the core members.

resultsOur results demonstrated that there is low social network of core members of elderly care social organizations. Out of the total membership, men (AOR = 1.708; 95%CI: 1.034-2.823), those with senior high school education (AOR = 1.923; 95%CI: 1.053-3.511), those with a college degree and above (AOR = 3.010; 95%CI: 1.591-5.692) and those that receive awards related to elderly care services (AOR = 2.260; 95%CI: 1.285-3.976) were associated with higher social network scores.

conclusionsOur data successfully characterized the social status of core members of elderly care organizations. Therefore, health care professionals and policy makers in social organizations should use this knowledge in the care and service provision to the elderly; and implement actions that would promote networking in social organizations.

Indexed as

Administrative PersonnelOrganizationsAgedCross-Sectional StudiesHealth ServicesHumansMaleSocial NetworkingAgingCore membersElderly care servicesSocial networkSocial organizations

Identifiers

PMID36088321
PMCPMC9464390

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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.