An occupational health survey on health utility and occupational diseases in Chinese university staff to inform cost-utility analysis.

EQ-5D-5L = EuroQol 5-dimensions 5-level health related quality of life health utility occupational health real-world evidence (RWE) university staff

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2022
Historique:
received: 18 08 2022
accepted: 19 12 2022
entrez: 27 1 2023
pubmed: 28 1 2023
medline: 31 1 2023
Statut: epublish

Résumé

The occupational health of university staff bears great social and economic value for which health utility is an indivisible aspect. Utility is also the primary data for the cost-utility analysis of occupational health programs. Health utility and occupational diseases have not been reported for the university staff in China. In the light of "Healthy China," we conducted this study aiming to (1) estimate the health utility of university staff to inform cost-utility analysis and (2) screen and identify potential occupational diseases for this occupation and examine their impacts on health. An occupational health survey was conducted in a sample of working-age university staff. Participants were interviewed face-to-face using the WHO Health and Work Performance Questionnaire and the European Quality of Life 5 Dimensions (EQ-5D) instrument to measure health conditions and health utility, respectively. The univariate analysis included the The sample ( Working-age staff in Chinese universities may have a lower health utility than the general population. Psychological conditions and musculoskeletal pain appear like occupational diseases. With the health utility data available, economic evaluation of cost-utility should follow up to facilitate the implementation of cost-effective programs.

Sections du résumé

Background
The occupational health of university staff bears great social and economic value for which health utility is an indivisible aspect. Utility is also the primary data for the cost-utility analysis of occupational health programs. Health utility and occupational diseases have not been reported for the university staff in China. In the light of "Healthy China," we conducted this study aiming to (1) estimate the health utility of university staff to inform cost-utility analysis and (2) screen and identify potential occupational diseases for this occupation and examine their impacts on health.
Methods
An occupational health survey was conducted in a sample of working-age university staff. Participants were interviewed face-to-face using the WHO Health and Work Performance Questionnaire and the European Quality of Life 5 Dimensions (EQ-5D) instrument to measure health conditions and health utility, respectively. The univariate analysis included the
Results
The sample (
Conclusion
Working-age staff in Chinese universities may have a lower health utility than the general population. Psychological conditions and musculoskeletal pain appear like occupational diseases. With the health utility data available, economic evaluation of cost-utility should follow up to facilitate the implementation of cost-effective programs.

Identifiants

pubmed: 36703839
doi: 10.3389/fpubh.2022.1022344
pmc: PMC9871467
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1022344

Informations de copyright

Copyright © 2023 Liu, Zhou, Wei, Li, Luo, Naidoo, Zhang, Bi and Gao.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Xiaoyan Liu (X)

Business School, University of Shanghai for Science and Technology, Shanghai, China.
Department of Medical Affairs, The First People's Hospital of Tai'an, Taian, Shandong, China.

Huijun Zhou (H)

Business School, University of Shanghai for Science and Technology, Shanghai, China.

Jie Wei (J)

Department of TCM Manipulative Orthopedics, PLA Air Force Medical Center, Beijing, China.

Minghui Li (M)

Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center, Memphis, TN, United States.

Guofen Luo (G)

Business School, University of Shanghai for Science and Technology, Shanghai, China.

Nasheen Naidoo (N)

Department of Pathology, Stellenbosch University, Cape Town, South Africa.

Guang Zhang (G)

Business School, University of Shanghai for Science and Technology, Shanghai, China.

Ye Bi (Y)

I.baby Preconception Care, Shanghai, China.

Mengmeng Gao (M)

Business School, University of Shanghai for Science and Technology, Shanghai, China.

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Classifications MeSH