Evidence map›Paper›PMID 37296422›Full record

ArticleBMC geriatrics2023

Influencing factors of the treatment level of elderly care workers and their career development prospects.

Kaichang Cui, Fei Yang, Ruihan Qian, Chenmei Li, Mengting Fan

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Kaichang CuiSocial Security Research Center, Shanghai University of Engineering Science, Shanghai, China.
Fei YangSchool of Management, Shanghai University of Engineering Science, Shanghai, China. yfd0125@163.com.
Ruihan QianSchool of Management, Shanghai University of Engineering Science, Shanghai, China.
Chenmei LiSchool of Management, Shanghai University of Engineering Science, Shanghai, China.
Mengting FanSchool of Management, Shanghai University of Engineering Science, Shanghai, China.

Funding

the National Social Science Fund of China No. 21AGL024
6 · The paper itself

Abstract

backgroundThe increasingly aging population in current China has encouraged the emergence of the diversified and multi-level elderly care service industry, and the demand for high-quality elderly life with the help of elderly caregivers continues to grow.

methodsBased on the existing questionnaire data, this article explores the influencing factors of the treatment level of care staff, and explores their future development prospects.

resultsThe results show that whether they have participated in relevant vocational skills competitions, whether they have worked overtime, whether they have overtime wages, and their monthly income have significant effects on their satisfaction of treatment levels. Elderly care workers who have participated in skills competitions are more satisfied about their salary. In addition, workers who rarely and occasionally work overtime are more satisfied compared with those who have never worked overtime; Caregivers with a monthly income of 5,000-6,999 yuan are more satisfied with their salary and treatment than those with below 3,000 yuan.

conclusionTherefore, in order to better match the supply and demand of care workers, we should provide formal training and skill competitions for them, appropriately increase their salary level and reasonably arrange their working hours, so as to attract more professional talents into elderly care industry.

Indexed as

AgingHealth PersonnelAgedCaregiversHumansIncomeSurveys and QuestionnairesCareer development prospectsElderly care workersInfluencing factorsTreatment level

Identifiers

PMID37296422
PMCPMC10251313

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.