Evidence map›Paper›PMID 36548027›Full record

ArticleJMIR human factors2022

Preferences for a Mental Health Support Technology Among Chinese Employees: Mixed Methods Approach.

Sijin Sun, Zheyuan Zhang, Mu Tian, Celine Mougenot, Nick Glozier, Rafael A Calvo

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 2 countries.

Sijin SunDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6276-4741
Zheyuan ZhangDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9100-1428
Mu TianLuye Medical Group, Shanghai, China.ORCID https://orcid.org/0000-0002-2082-3632
Celine MougenotDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3849-163X
Nick GlozierFaculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-0476-9146
Rafael A CalvoDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2238-0684
Dyson (United Kingdom) · GBThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorkplace mental health is under-studied in China, making it difficult to design effective interventions. To encourage the engagement with interventions, it is crucial to understand employees' motivation toward seeking help through technologies.

objectiveThis study aimed to understanding how Chinese employees view digital mental health support technology and how mental health support technology could be designed to boost the motivation of Chinese employees to use it.

methodsA mixed methods approach was used. In total, 458 Chinese employees (248/458, 54% female) in 5 industries (manufacturing, software, medical, government, and education) responded to a survey, and 14 employees and 5 managers were interviewed.

resultsGovernment data and employee responses showed that mental health support in China is limited. In the workplace, Chinese employees experience a lower sense of autonomy satisfaction compared with competence and relatedness. Although managers and employees try to empathize with those who have mental health issues, discrimination and the stigma of mental illness are rife in Chinese workplaces. Digital technologies are perceived as a potential medium for mental health interventions; however, privacy is a major concern.

conclusionsThe results of this study demonstrated the potential of self-help digital mental health support for Chinese employees. Interdisciplinary cooperation between design engineers and mental health researchers can contribute toward understanding the issues that engage or disengage users with digital mental health interventions.

Indexed as

Chinadigital healthmental healthworkplace

Identifiers

PMID36548027
PMCPMC9816948
OpenAlexW4312113702

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.