Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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.
Conclusion: 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.
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