Evidence map›Paper›PMID 33382827›Full record

ArticlePloS one2020

Exploring the determinants of synergetic development of social organizations participating in home-based elderly care service: An SEM method.

Qiuhu Shao, Jingfeng Yuan, Junwei Ma, Hongxing Ding, Wei Huang

Abstract read
In one paragraph

Article in PloS one, 2020. 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
  2. Article
  3. 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

5 authors.

Qiuhu ShaoDepartment of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, Jiangsu Province, P. R. China.
Jingfeng YuanDepartment of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, Jiangsu Province, P. R. China.ORCID 0000-0002-0922-6853
Junwei MaDepartment of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, Jiangsu Province, P. R. China.
Hongxing DingDepartment of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, Jiangsu Province, P. R. China.
Wei HuangSchool of Civil Engineering, Sanjiang University, Nanjing, Jiangsu Province, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current aging service industry has problems in meeting the ever-increasing demand for the home-based elderly care service (HECS). Social organizations participating in HECS seems to be a promising way to address these problems but also raises new challenges, like uncoordinated cooperation among stakeholders, which could lead to low management efficiency and low service quality. However, Synergetic development can be promising to enhance the participation of social organizations and to improve social welfare. This study introduces a conceptual model to explore relationships between five determinants and synergetic development of social organizations participating in HECS. A structural equation model (SEM) based on questionnaire survey is used as a test methodology. The results indicated that stakeholder engagement plays a critical role in synergetic development in HECS, resource allocation can only be improved by institutional climate, and supervision capacity cannot facilitate information sharing. This study provides effective strategies and directions for the improvement of home-based elderly care services.

Indexed as

Health Services for the AgedHome Care ServicesAgedHumansSocial WelfareStakeholder Participation

Identifiers

PMID33382827
PMCPMC7775099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.