AUTHOR=Liu Ligai , Wang Xin , Hao Yiwei , Yang Jingming , Yang Di , Duan Xuefei , Fang Gaoli , Han Bing , Jiang Chunguo , Li Junnan , Liu Yao , Wang Yang , Song Rui 

TITLE=The Gaps Between the Self and Professional Evaluation in Mental Health Assessment of COVID-19 Cluster Cases

JOURNAL=Frontiers in Psychology

VOLUME=Volume 12 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.614193

DOI=10.3389/fpsyg.2021.614193

ISSN=1664-1078

ABSTRACT=Objective To analyze the discrepancy between self-rating and professional evaluation of mental health status in COVID-19 cluster cases. Method A total of 65 COVID-19 cluster cases admitted to Beijing Ditan Hospital Capital Medical University from June 14th 2020 to June 16th 2020 were included. The patients’ demographic data were collected, and self-rating and professional evaluation of mental health status were completed. The Gaps between self-rating and professional evaluation in different demographic characteristics were compared, and factors correlated with the Gaps are analyzed. Results The results of self-rating were inconsistent with those of professional evaluation. The Gaps of the two dimensions in anxiety had remarkable statistics differences based on participants’ sex, monthly income, anxiety/depression medical history, and infection way. Those suggested that the patients of male, 10000-20000 monthly income, having history of anxiety or depression, and infected from direct contact ways had higher self-rating in relative dimensions. In terms of depression, the subgroups of social insurance type, 10000-20000 monthly income, unmarried, more than nine years of education, more than ten years residing in Beijing, without anxiety/depression medical history, no steady employment, and without physical disease history had higher self-rating in relative dimensions. Conclusion Professional evaluation should be used as the primary evaluation method. Some demographic characteristics may be related to higher self-rating. More researches are needed to determine why certain demographic characteristics are associated with higher self-rating.