BACKGROUND: Depression is reported to be a major cause of illness-related sub-optimal work performance (presenteeism). However, the majority of studies examining presenteeism have relied on self-report measures of work performance. Furthermore, employers currently face a number of practical challenges in attempting to facilitate early identification of depression. AIMS: To test whether a web-based screening tool for depression could be used successfully in the workplace and whether it was possible to detect an association between rates of depression and objective measures of impaired workgroup performance. METHODS: All permanent employees of a telecommunications company with UK-based call centres were encouraged to complete a web-based psychological assessment using the Patient Health Questionnaire depression scale (PHQ-9). In addition to confidential individual level results, the tool was able to provide anonymized summary statistics for each workgroup. Four objective measures of work performance were collected for each workgroup. RESULTS: During the study period, 1161 web-based PHQ-9 questionnaires were completed. There was a negative linear relationship between rates of depressive symptoms and the overall performance of a workgroup (P < 0.001). The linear relationship between depression and workgroup performance remained after controlling for gender balance, percent of temporary staff, employees' perceived level of engagement and satisfaction with their line manager (P < 0.01). CONCLUSIONS: Workgroups with high levels of depressive symptoms tend to perform poorly. Computer-aided web-based screening for symptoms of depression is feasible in a work setting.
BACKGROUND:Depression is reported to be a major cause of illness-related sub-optimal work performance (presenteeism). However, the majority of studies examining presenteeism have relied on self-report measures of work performance. Furthermore, employers currently face a number of practical challenges in attempting to facilitate early identification of depression. AIMS: To test whether a web-based screening tool for depression could be used successfully in the workplace and whether it was possible to detect an association between rates of depression and objective measures of impaired workgroup performance. METHODS: All permanent employees of a telecommunications company with UK-based call centres were encouraged to complete a web-based psychological assessment using the Patient Health Questionnaire depression scale (PHQ-9). In addition to confidential individual level results, the tool was able to provide anonymized summary statistics for each workgroup. Four objective measures of work performance were collected for each workgroup. RESULTS: During the study period, 1161 web-based PHQ-9 questionnaires were completed. There was a negative linear relationship between rates of depressive symptoms and the overall performance of a workgroup (P < 0.001). The linear relationship between depression and workgroup performance remained after controlling for gender balance, percent of temporary staff, employees' perceived level of engagement and satisfaction with their line manager (P < 0.01). CONCLUSIONS: Workgroups with high levels of depressive symptoms tend to perform poorly. Computer-aided web-based screening for symptoms of depression is feasible in a work setting.
Authors: Sarah M Ketelaar; Karen Nieuwenhuijsen; Fania R Gärtner; Linda Bolier; Odile Smeets; Judith K Sluiter Journal: Int Arch Occup Environ Health Date: 2013-07-28 Impact factor: 3.015
Authors: Emily N Satinsky; Tomoki Kimura; Mathew V Kiang; Rediet Abebe; Scott Cunningham; Hedwig Lee; Xiaofei Lin; Cindy H Liu; Igor Rudan; Srijan Sen; Mark Tomlinson; Miranda Yaver; Alexander C Tsai Journal: Sci Rep Date: 2021-07-13 Impact factor: 4.379
Authors: Leona Tan; Min-Jung Wang; Matthew Modini; Sadhbh Joyce; Arnstein Mykletun; Helen Christensen; Samuel B Harvey Journal: BMC Med Date: 2014-05-09 Impact factor: 8.775
Authors: Louise M Farrer; Amelia Gulliver; Kylie Bennett; Daniel B Fassnacht; Kathleen M Griffiths Journal: BMC Psychiatry Date: 2016-07-15 Impact factor: 3.630
Authors: Erin Cvejic; Gordon Parker; Samuel B Harvey; Zachery Steel; Dusan Hadzi-Pavlovic; Claire L Macnamara; Uté Vollmer-Conna Journal: BMJ Open Date: 2017-09-11 Impact factor: 2.692