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

被引:1
作者
Liu, Xiaoyan [1 ,2 ]
Zhou, Huijun [1 ]
Wei, Jie [3 ]
Li, Minghui [4 ]
Luo, Guofen [1 ]
Naidoo, Nasheen [5 ]
Zhang, Guang [1 ]
Bi, Ye [6 ]
Gao, Mengmeng [1 ]
机构
[1] Univ Shanghai Sci & Technol, Business Sch, Shanghai, Peoples R China
[2] First Peoples Hosp Taian, Dept Med Affairs, Tai An, Shandong, Peoples R China
[3] PLA AF Med Ctr, Dept TCM Manipulat Orthoped, Beijing, Peoples R China
[4] Univ Tennessee Hlth Sci Ctr, Dept Clin Pharm & Translat Sci, Memphis, TN USA
[5] Stellenbosch Univ, Dept Pathol, Cape Town, South Africa
[6] Ibaby Preconcept Care, Shanghai, Peoples R China
关键词
health utility; health related quality of life; EQ-5D-5L=EuroQol 5-dimensions 5-level; real-world evidence (RWE); university staff; occupational health; QUALITY-OF-LIFE; ECONOMIC-EVALUATION; ORGANIZATION HEALTH; POPULATION NORMS; EQ-5D-5L; WORK; INTERVENTION; WORKPLACE; INDEX; TEACHERS;
D O I
10.3389/fpubh.2022.1022344
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundThe 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. MethodsAn 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 t-test, chi-square test, and correlation techniques. Multivariate generalized linear models were applied to evaluate the significance of each health condition when controlling for other factors. ResultsThe sample (n = 154) had a mean age of 40.65 years and consisted of slightly more women (51.30%). Participants attained a mean (standard deviation) health utility of 0.945 (0.073). The most affected domain was anxiety/depression with 62 (40.26%) participants reporting problems, followed by pain/discomfort which captured 60 (37.66%) staff with problems. Thus, pain and psychologically related conditions were prevalent. Multivariate models identified two conditions that can significantly reduce the health utility. The psychological/emotional conditions were associated with a utility loss of -0.067 (95%CI: -0.089, -0.045). The pain in body parts other than the head, neck, and back reduced the utility by -0.034 (95%CI: -0.055, -0.014). ConclusionWorking-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.
引用
收藏
页数:11
相关论文
共 51 条
  • [1] Population norms for the EQ-5D index scores using Singapore preference weights
    Abdin, Edimansyah
    Subramaniam, Mythily
    Vaingankar, Janhavi Ajit
    Luo, Nan
    Chong, Siow Ann
    [J]. QUALITY OF LIFE RESEARCH, 2015, 24 (06) : 1545 - 1553
  • [2] Quality of life and burnout among faculty members: How much does the field of knowledge matter?
    Alves, Priscila Castro
    Oliveira, Aurea de Fatima
    Martins da Silva Paro, Helena Borges
    [J]. PLOS ONE, 2019, 14 (03):
  • [3] Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies
    Barba, C
    Cavalli-Sforza, T
    Cutter, J
    Darnton-Hill, I
    Deurenberg, P
    Deurenberg-Yap, M
    Gill, T
    James, P
    Ko, G
    Miu, AH
    Kosulwat, V
    Kumanyika, S
    Kurpad, A
    Mascie-Taylor, N
    Moon, HK
    Nishida, C
    Noor, MI
    Reddy, KS
    Rush, E
    Schultz, JT
    Seidell, J
    Stevens, J
    Swinburn, B
    Tan, K
    Weisell, R
    Wu, ZS
    Yajnik, CS
    Yoshiike, N
    Zimmet, P
    [J]. LANCET, 2004, 363 (9403) : 157 - 163
  • [5] Incidence and risk factors associated with lower back pain among university office workers
    Chaiklieng, Sunisa
    Suggaravetsiri, Pornnapa
    Stewart, Jenny
    [J]. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2021, 27 (04) : 1215 - 1221
  • [6] Chen Nan, 2014, Wei Sheng Yan Jiu, V43, P990
  • [7] Desai R, 2021, OPTIMUM SAMPLE DEFIN
  • [8] Effectiveness of participatory training on improving occupational health in small and medium enterprises in China
    Fu, Chuandong
    Zhu, Meifeng
    Yu, Tak Sun Ignatius
    He, Yonghua
    [J]. INTERNATIONAL JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH, 2013, 19 (02) : 85 - 90
  • [9] Voice disorders in French teachers: Prevalence, risk factors and impact on well-being at work and quality of life
    Gallinari, C.
    Garsi, J. -P.
    Vercambre-Jacquot, M. -N.
    [J]. ARCHIVES DES MALADIES PROFESSIONNELLES ET DE L ENVIRONNEMENT, 2016, 77 (04) : 650 - 664
  • [10] Normative values of EQ-5D-5L: in a Spanish representative population sample from Spanish Health Survey, 2011
    Garcia-Gordillo, M. A.
    Adsuar, J. C.
    Olivares, P. R.
    [J]. QUALITY OF LIFE RESEARCH, 2016, 25 (05) : 1313 - 1321