Objective Although healthcare workers (HCWs) experienced significant stress during the 2015 outbreak of Middle East Respiratory Syndrome (MERS), the factors associated with this stress remain unknown. Thus, the present study assessed burnout among HCWs during the MERS outbreak to identify the influential factors involved in this process.Methods This study was a retrospective chart review of the psychological tests and questionnaires completed by 171 hospital employees from two general hospitals that treated MERS patients. The tests included the Oldenburg Burnout Inventory, Positive Resources Test, the questionnaires assessed exposure to the MERS outbreak event and perceptions about MERS.Results Of the 171 HCWs, 112 (65.5%) experienced disengagement and 136 (79.5%) suffered from exhaustion. Disengagement was associated with lower levels of purpose and hope, a higher perception of job risk, and exposure to the media. Exhaustion was associated with lower levels of purpose and hope, a higher perception of little control of the infection, a higher perception of job risk, prior experience related to infections, and being female.Conclusion Our results revealed the risk and protective factors associated with burnout among HCWs during an outbreak of MERS. These findings should be considered when determining interventional strategies aimed at ameliorating burnout among HCWs.
Background/Objectives: The early detection of individuals at risk of cognitive impairment is a clinical imperative. With the recent advancement of digital devices, smartphone application-based cognitive assessment is considered a promising tool for cognitive screening and monitoring inside and outside the clinic. This study examined whether a smartphone-based cognitive assessment, Brain OK, was valid for evaluating cognitive performance and identifying people at risk of cognitive impairment. Methods: We recruited 88 study participants aged over 60. They completed two cognitive tests with the Montreal Cognitive Assessment (MoCA), a validated paper-and-pencil cognitive screening tool, and Brain OK, a smartphone-based cognitive testing application. To examine convergent validity, we conducted analyses of Spearman correlations between MoCA and BrainOK, a Bland–Atman plot with regression analysis, and the area under the curve (AUC). Results: There was a significant positive association between Brain OK and the MoCA total score, with a coefficient of 0.9044 (SE = 0.057, t = 15.750, p < 0.001). The Bland–Altman plot represented a reasonable level of agreement between the two tests. We conducted the AUC analysis of Brain OK to compare the cognitively normal and impaired groups. The AUC value for the Brain OK score of 13.5 was the highest at 0.941. The sensitivity and specificity were 0.958 and 0.925, respectively. Conclusions: The smartphone app-based Brain OK test was feasible for assessing cognitive function and acceptable for identifying subjects with cognitive impairment. The results suggest Brain OK complements traditional in-person cognitive assessments and may help enhance cognitive health dialogue between doctors and patients.
1 January 2021 in Journal of Korean Neuropsychiatric Association