Impact of public health emergency on public psychology: analysis of mental health assistance hotlines during COVID-19 in Zhejiang province.
10.3785/j.issn.1008-9292.2020.08.05
- Author:
Weidan WANG
1
;
Fangzhong XU
1
;
Songquan XU
1
;
Jianmin ZHANG
1
;
Ning ZHANG
2
Author Information
1. Tongde Hospital, Zhejiang Province and Zhejiang Mental Health Center, Hangzhou 310012, China.
2. School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Publication Type:Journal Article
- Keywords:
Coronavirus disease 2019;
Psychology;
Public health
- MeSH:
China;
epidemiology;
Coronavirus Infections;
epidemiology;
Hotlines;
statistics & numerical data;
Humans;
Mental Health;
statistics & numerical data;
Pandemics;
statistics & numerical data;
Pneumonia, Viral;
epidemiology;
Public Health;
statistics & numerical data
- From:
Journal of Zhejiang University. Medical sciences
2020;49(4):409-418
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To analyze the usage of mental health assistance hotline during COVID-19 in Zhejiang province from January 25th to February 29th 2020, and summarize the characteristics of the demand for mental health services and the dynamic changes of public mental health status during COVID-19 pandemic.
METHODS:Both quantitative and qualitative methods were used. The calls related to pandemic were divided into four categories: medical, psychological, information and the others. The secondary categories of psychological calls were determined by text analysis. The number of calls were calculated weekly and the number of various types of calls over time were analyzed. We used stratified random sampling method to extract 600 cases of all kinds of calls related to pandemic and conducted a semantic analysis, through marking new, similar combination to form a feature set, then summed up the call content characteristics of each stage. Two hundred callers were followed up to understand how they felt about the call process in four aspects: the waiting time, call duration, the degree of problem-solving and the way to end the call.
RESULTS:In a total of 13 746 calls, 8978 were related to pandemic, among which 12.59%(1130/8978) were about medical issues, 26.50%(2379/8978) were about mental health, 27.18%(2440/8978) were about information regarding the pandemic and 33.74%(3029/8978) were about other pandemic related issues. Pandemic situation, relevant policy release, frequency of advertising campaigns were predictors of the number of calls per day during the pandemic (<0.05 or <0.01). The number of calls differed by gender and identities of callers (both <0.05). Finally 181 callers accepted telephone follow-up. Among them, 51.38%(93/181) of the callers thought that the waiting time was too long, 33.15%(60/181) of the callers thought that the call time was insufficient, 80.66%(146/181) of callers believed that the hotline could partially or completely resolve their concerns, and 39.23%(71/181) of the callers said the operator proposed to end the call.
CONCLUSIONS:s The changes of the number and content of the mental health assistance hotline calls reflected that the public mental health status experienced four stages during the pandemic: confusion, panic, boredom, and adjustment. The specialized mental health assistance hotlines should be further strengthened, and the efficiency should be improved. Mental health interventions should be tailored and adopted according to the characteristics of the public mental health status at different stages of the pandemic.
