Evidence map›Paper›PMID 36360542›Full record

ArticleHealthcare (Basel, Switzerland)2022

Psychometric Properties of the Traditional Chinese Version of the Stanford Presenteeism Scale (SPS-6) among Taiwanese Employees in Technology Companies.

Kim-Ngan Ta-Thi, Kai-Jen Chuang

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 2 countries.

Kim-Ngan Ta-ThiSchool of Public Health, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan.ORCID 0000-0002-7167-2926
Kai-Jen ChuangSchool of Public Health, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan.ORCID 0000-0003-4884-6446
Taipei Medical University · TWUniversity of Medicine and Pharmacy at Ho Chi Minh City · VN

Funding

Institute of Labor, Occupational Safety and Health, Ministry of Labor, Taiwan ILOSH110-A701
6 · The paper itself

Abstract

Little attention has been paid by employers to reduced productivity at work due to illness (presenteeism) because valid instruments to measure presenteeism are lacking. We assessed psychometric properties of the traditional Chinese version of the six-item Stanford Presenteeism Scale (CSPS-6) among Taiwanese employees in technology companies. We carried out a cross-cultural adaptation study on 196 employees. Factor analyses were used to evaluate the construct validity of the CSPS-6. Cronbach’s alpha was 0.74. The content validity of the CSPS-6 was good. Results of factor analyses confirmed the two-factor model of the CSPS-6. CSPS-6 scores were correlated with job stress (rs = −0.22, p = 0.002), the health status SF-36 (rs = 0.28 to 0.52, p < 0.0001), job satisfaction (rs = 0.41, p < 0.0001), and the presenteeism score of the Work Productivity and Activity Impairment Questionnaire: General Health (rs = −0.46, p < 0.0001). No correlations were found between presenteeism and the disability status (p = 0.19, F-value = 1.67, degrees of freedom = 2). The CSPS-6 was found to be reliable and valid in evaluating presenteeism of Taiwanese employees. Further studies should be undertaken to validate the CSPS-6 in other working populations and assess long-term effects of health problems associated with presenteeism.

Indexed as

measurement propertiespresenteeismproductivitypsychometric propertiesreliabilitySPS-6traditional Chinesevalidity

Identifiers

PMID36360542
PMCPMC9690533
OpenAlexW4308774680

What OpenQuestion holds

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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.