title: [Development of a presenteeism questionnaire for skilled workers at high-technology enterprises].
abstract: OBJECTIVE
  To develop a presenteeism questionnaire for Chinese high-technology skilled workers.
  
  
  METHODS
  Methods being used would include literature review, face-to-face in depth interview, experts' consultation in developing the questionnaire.
  
  
  RESULTS
  The presenteeism questionnaire includes two sections;one on employee's general health condition and the second one is a survey on the influences of employees'health conditions on their productivity. The first section includes 55 terms and 8 dimensionalities as below: Ache, Symptoms, Sleeping problem, Attention, Bad emotion, Pressure, Fatigue, Social adapting. These dimensionalities Cronbach's alpha are 0.79, 0.83, 0.75, 0.69, 0.83, 0.86, 0.80, 0.88 respectively and their half Spearman-Browns are 0.78, 0.75, 0.61, 0.62, 0.82, 0.81, 0.77, 0.88, respectively. Goodness of fit test model indices are as below: chi(2)/df -3.68, normed fit index 0.95, non-normed fit index 0.96, compatative fit index 0.96, standardized root mean residual 0.05, root mean square error of approximation 0.05. The relate-coefficient with SF-36 is 0.55. 42.77% of employees having received the survey, claim that their health problem do not influence their productivity, and 55.72% of them claiming that their productivity are reduced to 50%-90% because of their health problems while another 1.51% of them claim that their productivity reduced more than 50%. 84.5% of the interviewees claim that they have never been absent at work because of health problems, and 15.3% of them claim that their total hours of absence are between 0 and 100. Only 0.2% of the workers claim that the total hours of absence are more than 100.
  
  
  CONCLUSIONS
  The developed presenteeism shows good reliability and higher validity, so can be used to measure the presenteeism of skilled workers working at high-technology enterprises.
authors.affiliation: Peking Union Medical College, Beijing 100730, China.
authors.forename: Li
authors.initials: L
authors.lastname: Sheng
authors.forename: Jian-Shi
authors.initials: JS
authors.lastname: Huang
authors.forename: Lian
authors.initials: L
authors.lastname: He
authors.forename: Jian-Xia
authors.initials: JX
authors.lastname: Cui
authors.forename: Jing
authors.initials: J
authors.lastname: Xie
authors.forename: Feng-Juan
authors.initials: FJ
authors.lastname: Liu
mesh_terms: D000041:Absenteeism; D004526:Efficiency; D004651:Employment; D006306:Health Surveys; D006801:Humans; D007407:Interviews as Topic; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires