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The qualitative analysis of characteristic of callers to a psychological hotline at the early stage of COVID-19 in China

Abstract

Background

As the outbreak of COVID-19, traditional face-to-face psychological intervention are difficult to achieve, so hotline becomes available and recommended strategies. The callers’ characteristic could help us to study their experiences of emotional distress, as well as the reasons for calling during the pandemic, which can be used to inform future service design and delivery.

Methods

The information of 1558 callers called our hospital’ s hotline for help from February 3, 2020, to March 16, 2020 were collected in the form of Tick-box and Free text, and the inductive content analysis was undertaken focusing on the reasons for caller engagement.

Results

It was indicated that more than half of the callers are female (59.7%), mostly between the age of 18–59 (76.5%). The average age was 37.13 ± 13.76 years old. The average duration of a call to the hotline was 10.03 ± 9.84 min. The most frequent description emotional state were anxious (45.1%) and calm (30.3%), with the sub-sequence of scared (18.2%), sad (11.9%), and angry (6.9%). All callers displayed a wide range of reasons for calling, with needing support around their emotion (64.6%), seeking practical help (44.0%), and sleep problems (20.3%) constituting the majority of calls. Among the subthemes, 314 callers thought the epidemic has made them upset, 198 asked questions about the epidemic, and 119 reported their life routines were disrupted. The prevalence of key reasons does not appear to differ over time. Through their feedback, 79.1% agreed that they felt emotionally better after calling, and 95.0% agreed that hotline had helped them.

Conclusions

During the epidemic, the most concern of the public is still related to epidemics and its adverse effects. Fortunately, the hotline can be an active and effective rescue measure after an emergency happened.

Peer Review reports

Background

The COVID-19 epidemic that was firstly found in Wuhan has now spread to all parts of the world and has not yet been eliminated. This is an urgent public health emergency that poses a threat to human health and life safety, including severe economic, social, and psychological shocks. This is also a severe challenge for the public health system of our city. It damages the health of thousands of people and has a serious psychological impact on the public [1]. This highly contagious virus causes anxiety, panic, and other negative emotions to spread and accumulate in society [2]. All kinds of information about the epidemic situation from various sources might also aggravated the inner fear of the public and harmed their mental health [3]. Therefore, public mental health assessment and counseling services are undoubtedly essential in such public health emergencies [4].

Due to the particularity of the COVID-19 pandemic, traditional face-to-face psychological interventions and consultations are challenging to achieve, limiting the assessment and intervention methods. Ommeren et al. suggested that most acute stress problems in emergencies are best treated without medication following the principles of psychological first aid [5]. In this case, if online technologies such as assistance hotline and online counseling can be fully utilized, specialists can quickly assess the mental health level of the clients and provide corresponding psychological intervention services. Research has revealed that the effectiveness of telephone-delivered psychotherapy was similar to traditional face-to-face therapy [6], and previous research reported that telephone hotline could provide specialized mental health support to families [7]. It also has the potential to overcome barriers, including geographical isolation [8], fear of stigmatization, and difficulty accessing transportation [9]. Facts have proved that the hotline can reduce the pressure of consultation and provide a safe environment for people to express their emotions [10]. Due to its multiple advantages, the hotline has become one of the most popular crisis intervention measures globally [11]. Therefore, considering the particular circumstances of the epidemic, the assistance hotline may become the best and most convenient way of rescue.

Under such circumstances, various forms of mental health services conducted on line have emerged in China [12]. However, the practice in China indicates that the importance of hotline cannot be replaced by the newly developed online services [13]. There is concrete evidence to prove the effectiveness of the assistance hotline. Mishra and Daigle pointed out that 14% of the callers had their depressive mood reduced after the hotline call [14]. In addition, during the hotline call, it was observed that the caller’s mental state (including confusion, anger, anxiety, and helplessness) significantly improved [15, 16]. Generally speaking, hotline can effectively provide a platform for the public to deal with their psychological stresses, and can supply them with instrumental and informational help [13]. More importantly, it may ease the pressures on the city’s overburdened emergency medical services during the epidemic [17].

At the beginning of the epidemic, as the mental health center of the city, the Fourth People’s Hospital of Chengdu first assumed the responsibility of protecting the mental health of the public. It immediately expanded the number of original psychological assistance hotline and extended its working hours. Although our hospital’s hotline has been serving the public for a long time, the past data of them has not been carefully analyzed, including the demographic information of the callers and the reasons for their calls. The sharp increase in the number of calls during the epidemic reflects the significant increase in public demand for aid during special periods. Therefore, we adopted a retrospective and descriptive method to analyze the data related to these calls during the COVID-19 outbreak. The purpose is to explore the psychological state of people in the epidemic, as well as the contribution and situational factors that lead to their calling. In this way, we can indirectly understand the issues they are more concerned about during the outbreak and how they will affect their lives. The caller’s feedback can also provide evidence of whether the hotline is effective during the epidemic.

Methods

The design of the study

Because of the characteristics of the hotline, we could not obtain the objective scores on their emotions assessed by corresponding scales. To ensure the accuracy of their emotional state after the pandemic, we made the decision of using the method of intake form to record their self-deemed emotions and their reasons for calling. Although the hotline was set up to relieve the pressure of the public, and we would like to know the actual effect of the hotline, we have added the feedback part to our intake form. The data came from the oral description of the callers, so the inductive content analysis was the main method to further analyze their calling reasons.

The operation of the hotline

The contact information of the hotline was disseminated to the public through the Internet, media, and radio stations to help people deal with their psychological problems during the outbreak. A professional team of 15 people operates the assistance hotline, 8 are psychologists, and the rest are clinical psychologists with psychotherapist qualifications. The above-mentioned personnel all have a bachelor’s degree or above and have practical psychological counseling experiences. Before answering the hotline, they received unified hotline service training. The hotline was divided into three landlines, which were answered in different rooms. The hotline provides telephone consultation and crisis intervention services with toll-free lines operating 24 h a day, 7 days a week. For every call received, the operator needs to fill out a call intake form to record demographics information and essential descriptive characteristics of the calls. Operators were trained on the usage of these intake forms to increase their reliability. These intake forms were then entered into an online database specifically designed to store this data.

The context of the hotline intake form

Our intake form was completed in the form of “Tick-box” and “Free-text.” Tick-box data includes gender, caller’s mental state (e.g., anxious, sad, calm), psychiatric history, and risk of harm to themselves and others. Those callers at risk would be referred to further video psychological crisis intervention treatment or be proposed to the hospital for treatment. If they were committing suicide, the operator would contact their family members and the police to find them to avoid death. The purpose of the free-text was to collect the specific reasons for their callings, and the information of age, occupation, date of the call, and call duration were also recorded in it. Although the free-text data are recorded by the operator, the organizational policy is that the content of these records is based on the caller’s conversation, which is to ensure that it reflects the original content of the caller’s statement. At the end of each call, all callers were asked to give their feedback on the hotline’s effectiveness, including their opinions on the hotline and how they feel after contacting the hotline.

Data collation and analysis

On January 30, 2020, the World Health Organization declared the outbreak of COVID-19 a public health emergency of international concern [18]. After realizing the seriousness of the situation, our hospital opened the hotline within only 3 days of preparation. Therefore, we collected data from February 3, 2020, to March 16, 2020. During this period, the pandemic was most prevalent in China, with a total number of infections of 80,881 (https://baike.baidu.com/item/2020%E5%B9%B4%E4%B8%AD%E5%9B%BD%E6%96%B0%E5%86%A0%E8%82%BA%E7%82%8E%E7%96%AB%E6%83%85%E5%8F%91%E5%B1%95%E5%AE%9E%E5%BD%95/50157160?fromtitle=2020%E5%B9%B4%E6%96%B0%E5%86%A0%E8%82%BA%E7%82%8E%E7%96%AB%E6%83%85%E5%8F%91%E5%B1%95%E5%AE%9E%E5%BD%95&fromid=24334213#reference-[83]-25605585-wrap). Since then, most companies have declared to resume work, and the number of calls was relatively low, with an average of 5 per day. Thus, we did not use subsequent data for analysis. For telephone calls, we can only consider it to be effective only after filling out the intake form. The Ethics Committee of the Fourth People’s Hospital of Chengdu approved this study.

For quantitative data, the analysis involves descriptive statistics, with data expressed in frequency and percentage. One of the qualitative evaluations, the inductive content analysis, was utilized to identify the main themes across the data set. They read the recorded free text of each caller independently and wrote as many headings as necessary to describe all possible reasons. After this, the lists of headings are grouped under higher order subthemes. At first, there were 32 subthemes, and to meet the tenets of creditability and trustworthiness, these subthemes were discussed collectively by the 3 members mentioned above until consensus was reached. As a result, similar subthemes were merged to prevent overlap of categories, and 21 subthemes were retained. Then the 4 key overarching themes were abstracted from the 21 subthemes using content-characteristic words.

Results

Total number of calls per day

Figure 1 summarizes the daily call distribution, showing that the number of calls per day varies greatly, from a minimum of 5 calls per day to a maximum of 85 calls, with a mean of 37.10 calls per day. The average duration of a call is 10.03 ± 9.84 min (minimum = 1; maximum = 108 min).

Fig. 1
figure 1

Total number of calls per day

Caller characteristics

Of the 1558 intake forms we recorded, 40.3% of callers were male (628/1558), and 59.7% were female (930/1558). Among them, 230 people were unwilling to reveal their age. Moreover, of the remaining 1328 people, the oldest was 89 years old, the youngest was 12 years old, and the average age was 37.13 ± 13.76 years old. According to WHO’s age classification (https://www.360kuai.com/pc/9cb0ccfb0ac2ca07f?cota=4&kuai_so=1&tj_url=so_rec&sign=360_57c3bbd1&refer_scene=so_1), there were 40 callers at the age of 12–17 years old (teenager), accounting for 2.6%; 934 callers at the age of 18–44 years old (youth), accounting for 59.9%; 259 callers at the age of 45–59 years old (middle-aged), accounting for 16.6%; and 95 callers at the age of 60 years old or above (elderly), accounting for 6.1%.

When recording the caller’s perceived emotional state during the call, the operator used the tick-box section of the intake form. Simultaneously, the operator needed to collect the corresponding information that could reflect caller disclosure, and made some assessment based on the caller’s self-report. Among all eligible intake forms, the most frequently mentioned emotions are anxious (45.1%) and calm (30.3%) (see Table 1 for details). Further analysis suggested that 158 callers (10.1%) had two kinds of emotions, 14 (0.90%) had three kinds of emotions and 2 (0.13%) with four different emotions.

Table 1 Caller characteristics, statement of emotion, psychiatric history and identified risk at intake

Psychiatric history and risk assessment

One hundred eleven callers (7.1%) reported a history of mental illness, the most common of which were anxiety, depression, and bipolar disorder (Table 1). It is unknown whether callers who have reported a history of a psychiatric disease have previously received a formal diagnosis.

When a caller experiences a severe decline in mental health, which affects his or others’ health and life safety, the operator will record an assessment of “at-risk” based on the caller’s self-reporting. After assessment, 15 callers (0.96%) were found to be impacted by risks. The distribution and the risk form are shown in Table 1. Most commonly, callers were assessed as being at risk due to their inappropriate behaviors, including alcohol and/or other drugs (40%) and self-harm (33.3%).

Reasons for calling the hotline

After analyzing the free-text section about the callers’ reasons for calling, 21 subthemes were identified, and four key overarching themes were abstracted at last, including seeking practical help, the need for support around their emotion, sleep problems, and consulting with others’ issues instead of themselves. When looking at the prevalence of themes, most calls sought support around their emotion (n = 1007, 64.6%). The second most common theme of calls was seeking practical help (n = 685, 44.0%) (See Table 2 for details). To make the subthemes more intuitionistic and specific, we extracted representative statements from the intake forms for the 21 subthemes, respectively. (See Table 3 for details).

Table 2 Frequency of themes on the reasons for calling the hotline
Table 3 The representative statements from the intake forms for the 21 subthemes

In Fig. 2, we can tell that the prevalence of key themes does not show obvious difference over time. Although the peaks and troughs of the frequency can be seen, calls related to needing support around their emotion are consistently more prevalent than other themes.

Fig. 2
figure 2

Percentage prevalence of themes over time

Feedback on the hotline

98.1% (1529/1558) of the respondents “agree” that the operator who answered the hotline understood their concerns, while 79.1% (797/1007) of the respondents said that they would feel emotionally better after talking to the operator. A total of 95.0% (1480/1558) agreed that the hotline helped them overall. When exploring the changing tendency of the feedback on the hotline, we calculated the percentage of people who thought the hotline was helpful for each day. We found that the effect of the hotline progressed smoothly, with the average effective rate of 94.7%. (see Fig. 3 for details)

Fig. 3
figure 3

Percentage of people who thought the hotline was helpful over time

Discussion

The COVID-19 is a sudden pandemic with powerful infectivity and unpredictability. It is a strong stressor for both individuals and society. Although Sichuan Province was not a severely affected area, the government had also adopted countermeasures such as first-level public health response and lockdown to prevent and control the epidemic, which brought inconvenience to daily life and outdoor activities. Therefore, it is inevitable that some people will encounter apparent mental troubles. On the one hand, the establishment of the psychological assistance hotline in this situation can study and track the mental status of the public and obtain information about their concerns during the epidemic. On the other hand, it can provide psychological services to the people in time to prevent their psychological problems from further deteriorating and appropriately alleviate their panic.

According to the hotline data chart, we can see that the hotline can be divided into two stages according to the number. Although we have opened the hotline on February 3, 2020, and promoted it through our online official social account and broadcasting, the number of calls in the early stage was still small. To reach more people, we expanded our publicity since February 25, 2020, by sending text messages to all mobile phone users in our city, after when the number of hotline reached the peak. This means that when encountering the same type of emergency, it is crucial to consider how people obtain information. Even in the Internet age, some people do not even know how to use smartphones, and they cannot get help in time. We can use every means that we can think of to promote the hotline so as to make it available to every citizen.

First of all, in terms of the impact of the epidemic on seeking the help of different genders, the ratio of males to females in the 1558 effective calls received was 1:1.48, which is similar to Gao et al.’s statistics of the counseling hotline established by the Chinese Academy of Sciences during SARS [19], whose results showed that more women than men were seeking for assistance during an epidemic. A possible explanation for this phenomenon may be related to the richer emotional experience of women, who are more willing to express their emotions after undergoing stressful events [20]. However, due to the lack of emotional expression of men, this may lead to incorrect assessment and identification of their psychological problems. From this perspective, it is necessary to pay more attention to their corresponding mental and behavioral responses.

An interesting finding is that the age distribution of callers is concentrated in the youth and middle age. On the one hand, for other groups, teenagers may focus more on their studies and pay less attention to major social events. While the elderly are not good at obtaining valuable and helpful information from the media or social networks [21]. Therefore, the proportion of incoming calls corresponding to these groups seems to be very low. Generally speaking, the elderly are more prone to physical, mental, or senile diseases. However, due to the outbreak of this epidemic, large-scale isolation and restrictions on public transportation inevitably reduced their opportunities for diagnosis and treatment [22]. This also poses a massive challenge to the mental health services of the elderly in the community. During the crisis, the psychological services established in China in the past seemed to pay insufficient attention to the elderly group [22]. Due to modern technology limitations for the elderly, teleconsultation should be fully utilized, which is an effective way to supply the elderly with health services.

We also found that in the context of the epidemic, the public showed obvious anxious emotion. This implies that the epidemic did have a certain negative impact on public emotional changes. Similar to the SARS outbreak in 2003, the COVID-19 outbreak is considered a strong stressor. This large-impact stressor directly caused some individuals and groups to suffer from various degrees of psychological crisis [23]. A parallel research during the SARS epidemic discovered that 13.9% of the people from different groups expressed mild anxiety about this event [24]. Furthermore, according to the investigation by Ding et al., it was found that there was indeed a public psychological crisis during the SARS epidemic, and it was more serious [25]. We found that among people with emotional distress, the second most common emotion is fear. After the outbreak, the rising number of confirmed cases, news reports, and various unrecognizable social media information continued to increase, which will undoubtedly intensify the social panic [26]. Due to the shortage of medical supplies for households and daily necessities, supermarkets, pharmacies, and other stores were quickly sold out, which further exacerbated people’s panic [27]. Just like Zhang’s report, they found that more than half of the participants in their survey expressed fear due to the COVID-19 pandemic [28].

Besides, the study discovered that some people are emotionally complicated when they call the hotline. In some cases, anxiety, fear, sadness, and anger can even occur simultaneously. As Garcia et al. discovered that under tremendous pressure, people would feel consciously unwell, accompanied by low mood, alienation, and hostility [29]. Bai et al. also suggested that in a major public health emergency, the symptoms of somatization, depression, terror, and paranoia increase significantly in public [30]. Therefore, the process of dealing with complex emotions in the psychological intervention of these callers should not be ignored. Just as Rubin et al. suggested, governments urgently need guidance and actionable information on effective public health and psychological interventions to protect the public’s mental health [31].

Moving on to the reasons for calling, the most frequently mentioned problem is emotional distress, followed by the need for practical help and sleep problems. Among emotional issues, the most important reason for urging them to call is that the epidemic made them worry about themselves and their family members. They did not know how to control themselves from not concerning about the epidemic. Someone even told us on the hotline that they felt desperate when they saw the newly increased number of infected patients. We found that most callers called us to ask for specific information about the epidemic. They wanted to know when the epidemic would end and what they could do to protect themselves from infecting. Additionally, many callers also wanted to know the working time of our hospital so that they could get some sleeping pills or take psychotherapies. When asked about the reasons, most of them believed that the epidemic had negative effects on them, and they wanted to relieve themselves or evaluate whether they had depression. Moreover, many callers also reported sleep problems. The most common reason is that the epidemic disrupted their routines, and anxiety about the epidemic made it difficult for them to sleep. We can see that due to the epidemic, the way of getting medical treatment and psychotherapy has changed a lot. Many people preferred to choose the hotline to seek mental health and medical-related services. According to Corruble’s report, the pandemic has required a shift of 90% of their outpatient activity to telepsychiatry, and he suggested that a dedicated hotline for psychiatry teleconsultation was necessary [32]. Through our investigation, we call on the government to establish a hierarchical psychological assistance system. As the telephone is a familiar and reliable technology, it is adequate for many COVID-19 related conversations. Patients who would like to obtain general information about coping with stress during the epidemic should be redirected to a similar hotline. Those with milder and more complicated symptoms during the epidemic can be transferred to the video call conducted by professional psychotherapists [33].

Finally, through the hotline service feedback, the study found that the hotline can relieve the emotions of many people to a certain extent and effectively solve some medical-related problems. Our result also discovered that as the pandemic progressed, the public reported the persistent effectiveness of the hotline, which indicated that the hotline could be a powerful way to provide help during the pandemic. It helped the government further reduce the proportion of patients suffering from severe mental illness due to epidemics and provided some ideas on using modern technologies that effectively provide treatment during epidemics. Perhaps in the near future, we could use a combination of hotline and computer video calls and even provide medical services to the public through mobile applications [34].

Limitation

Although this study provides some valuable information on the mental status of the public during the COVID-19 epidemic, its research data is relatively subjective and lacks objective scores to assess their mental health accurately. In addition, the effectiveness of the hotline was evaluated through verbal feedback from the callers. However, due to the limitations of the hotline, this study could only obtain such data. In the future, we look forward to obtaining more detailed objective data from other sources (such as the Internet), which may help us analyze the psychological state of the public at the early stage.

Conclusion

Through this research, we found that during the epidemic, the emotions that made the public call the hotline were mainly manifested as anxiety and fear, and more than half the callers attempted to seek support around their emotion. The most concern is still related to epidemics and its adverse effects on the public. Fortunately, facts have proved that the psychological assistance hotline is an active and effective rescue measure in this case.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Luo M, Guo L, Yu M, Jiang W, Wang H. The psychological and mental impact of coronavirus disease 2019 (COVID-19) on medical staff and general public - a systematic review and meta-analysis. Psychiatry Res. 2020;291:113190. https://doi.org/10.1016/j.psychres.2020.113190.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020;17(5):1729. https://doi.org/10.3390/ijerph17051729.

    Article  CAS  PubMed Central  Google Scholar 

  3. Ahmad AR, Murad HR. The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: online questionnaire study. J Med Internet Res. 2020;22(5):e19556. https://doi.org/10.2196/19556.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Duan L, Zhu G. Psychological interventions for people affected by the COVID-19 epidemic. Lancet Psychiatry. 2020;7(4):300–2. https://doi.org/10.1016/S2215-0366(20)30073-0.

    Article  PubMed  PubMed Central  Google Scholar 

  5. van Ommeren M, Saxena S, Saraceno B. Mental and social health during and after acute emergencies: emerging consensus? Bull World Health Organ. 2005;83(1):71–5 discussion 75-6.

    PubMed  PubMed Central  Google Scholar 

  6. Mohr DC, Ho J, Duffecy J, Reifler D, Sokol L, Burns MN. Effect of telephone-administered vs face-to-face cognitive behavioral therapy on adherence to therapy and depression outcomes among primary care patients: a randomized trial. JAMA. 2012;307(21):2278–85. https://doi.org/10.1001/jama.2012.5588.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Biggs LJ, McLachlan HL, Shafie T, Liamputtong P, Forster DA. 'I need help’: reasons new and re-engaging callers contact the PANDA-perinatal anxiety and depression Australia National Helpline. Health Soc Care Commun. 2019;27(3):717–28. https://doi.org/10.1111/hsc.12688.

    Article  Google Scholar 

  8. Lavender T, Richens Y, Milan SJ, Smyth RM, Dowswell T. Telephone support for women during pregnancy and the first six weeks postpartum. Cochrane Database Syst Rev. 2013;7:CD009338. https://doi.org/10.1002/14651858.CD009338.pub2.

    Article  Google Scholar 

  9. Dennis CL, Kingston D. A systematic review of telephone support for women during pregnancy and the early postpartum period. J Obstet Gynecol Neonatal Nurs. 2008;37(3):301–14. https://doi.org/10.1111/j.1552-6909.2008.00235.x.

    Article  PubMed  Google Scholar 

  10. Fugl-Meyer KS, Arrhult H, Pharmanson H, Backman AC, Fugl-Meyer AM, Fugl-Meyer AR. A Swedish telephone help-line for sexual problems: a 5-year survey. J Sex Med. 2004;1:278–83. https://doi.org/10.1111/j.1743-6109.04040.x.

    Article  PubMed  Google Scholar 

  11. Shaw FF, Chiang WH. An evaluation of suicide prevention hotline results in Taiwan: caller profiles and the effect on emotional distress and suicide risk. J Affect Disord. 2019;244:16–20. https://doi.org/10.1016/j.jad.2018.09.050.

    Article  PubMed  Google Scholar 

  12. Liu S, Yang L, Zhang C, Xiang YT, Liu Z, Hu S, et al. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):e17–8. https://doi.org/10.1016/S2215-0366(20)30077-8.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Wang J, Wei H, Zhou L. Hotline services in China during COVID-19 pandemic. J Affect Disord. 2020;275:125–6. https://doi.org/10.1016/j.jad.2020.06.030.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Mishara BL, Daigle MS. Effects of different telephone intervention styles with suicidal callers at two suicide prevention centers: an empirical investigation. Am J Community Psychol. 1997;25(6):861–85. 9534222. https://doi.org/10.1023/a:1022269314076.

    Article  CAS  PubMed  Google Scholar 

  15. Gould MS, Kalafat J, Munfakh JLH, Kleinman M. An evaluation of crisis hotline outcomes. Part 2: suicidal callers. Suicide Life Threat Behav. 2007;37(3):338–52. https://doi.org/10.1521/suli.2007.37.3.338.

    Article  PubMed  Google Scholar 

  16. King R, Nurcombe B, Bickman L, Hides L, Reid W. Telephone counselling for adolescent suicide prevention: changes in suicidality and mental state from beginning to end of a counselling session. Suicide Life Threat Behav. 2003;33(4):400–11. https://doi.org/10.1521/suli.33.4.400.25235.

    Article  PubMed  Google Scholar 

  17. Kristal R, Rowell M, Kress M, Keeley C, Jackson H, Piwnica-Worms K, et al. A phone call away: New York's hotline and public health in the rapidly changing COVID-19 pandemic. Health Aff (Millwood). 2020;39(8):1431–6. https://doi.org/10.1377/hlthaff.2020.00902.

    Article  Google Scholar 

  18. World Health Organization. Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV). 2020. https://www.who.int/news-room/detail/30-01-2020-statement-onthe-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov) (Accessed 4 Feb 2020).

    Google Scholar 

  19. Gao WB, Chen ZY, Wang YN, Shi ZB, Yang XD, Zhang JX. The dynamic analysis of public concern during SARS epidemic period. Chin J Mental Health. 2003;17(9):594–6.

    Google Scholar 

  20. Ling L, Chen XH. A study on stress patterns and mental health status of emergency nurses. Chin J Mental Health. 2001;15(5):303.

    Google Scholar 

  21. Guo XF. Positive aging and network-an analysis on network using situation of the old people. A dissertation for the degree of M.Arts. 2012. https://www.docin.com/p-1073149062.html

    Google Scholar 

  22. Yang Y, Li W, Zhang Q, Zhang L, Cheung T, Xiang YT. Mental health services for older adults in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):e19. https://doi.org/10.1016/S2215-0366(20)30079-1.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Maunder R, Hunter J, Vincent L, Bennett J, Peladeau N, Leszcz M, et al. The immediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. CMAJ. 2003;168(10):1245–51.

    PubMed  PubMed Central  Google Scholar 

  24. Wang XY, Jin KX, Wang QC, Liu XY, Li SC, He L. Survey of different crowd psychological status during SARS. Health Psycho J. 2003;11(6):441–2.

    Google Scholar 

  25. Ding SR, Shi J, Wang TL, Wang BH. Investigation on mental states of inhabitants during epidemic outbreak stage of SARS. Chin J Public Health. 2005;21(9):1119–20.

  26. Xu T, Sattar U. Conceptualizing COVID-19 and public panic with the moderating role of media use and uncertainty in China: an empirical framework. Healthcare (Basel). 2020;8(3):249. https://doi.org/10.3390/healthcare8030249.

    Article  Google Scholar 

  27. Jackson D, Bradbury-Jones C, Baptiste D, Gelling L, Morin K, Neville S, et al. Life in the pandemic: some reflections on nursing in the context of COVID-19. J Clin Nurs. 2020;29(13–14):2041–3. https://doi.org/10.1111/jocn.15257.

    Article  PubMed  Google Scholar 

  28. Zhang Y, Ma ZF. Impact of the COVID-19 pandemic on mental health and quality of life among local residents in Liaoning Province, China: a cross-sectional study. Int J Environ Res Public Health. 2020;17(7):2381. https://doi.org/10.3390/ijerph17072381.

  29. García SG, Lara D, Landis SH, Yam EA, Pavón S. Emergency contraception in Honduras: knowledge, attitudes, and practice among urban family planning clients. Stud Fam Plan. 2006;37(3):187–96. https://doi.org/10.1111/j.1728-4465.2006.00097.x.

  30. Bai YX, Ge GTY, Hai H, Liu ZH, Wang WR, Wang ZG. Correlation between psychological changes of the community crowd and the social support in grave public health event. Inner Mongolia Med J. 2005;37(4):295–7.

    Google Scholar 

  31. Rubin EJ, Baden LR, Morrissey S, Campion EW. Medical journals and the 2019-nCoV outbreak. N Engl J Med. 2020;382(9):866. https://doi.org/10.1056/NEJMe2001329.

    Article  CAS  PubMed  Google Scholar 

  32. Corruble E. A viewpoint from Paris on the COVID-19 Pandemic: a necessary turn to telepsychiatry. J Clin Psychiatry. 2020;81(3):20com13361. https://doi.org/10.4088/JCP.20com13361.

    Article  PubMed  Google Scholar 

  33. Greenhalgh T, Koh GCH, Car J. Covid-19: a remote assessment in primary care. BMJ. 2020;368:m1182. https://doi.org/10.1136/bmj.m1182.

    Article  PubMed  Google Scholar 

  34. Wright JH, Caudill R. Remote treatment delivery in response to the COVID-19 pandemic. Psychother Psychosom. 2020;89(3):130–2. https://doi.org/10.1159/000507376.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

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Contributions

D.N.: conception and design; D.N., OY.Y.J., H.ZL., H.J., Z.D., Y.Y., L.YG., H.MX., C.Y., W.HM., Y.YC., X.MX., and P.KL.: conduction; D.N., OY.Y.J. and H.ZL.: statistical analysis; H.J., Z.D., Y.Y., L.YG. and P. KL.: administrative, technical, or material support; D.N.: drafting of the manuscript; and OY.Y.J.: critical revision of the manuscript for important intellectual content. All authors read and approved the final paper.

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Correspondence to Na Du or Yingjie Ouyang.

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The Ethics Committee of the Fourth People’s Hospital of Chengdu has approved of this research. We have obtained informed consent from all subjects, which would tell all callers that their all information is recorded anonymously, and their data would be analyzed if they agreed. Subjects under the age of 18 also were obtained informed consent from their legally authorized guardians. All methods were performed in accordance with the relevant guidelines and regulations of WMA declaration of Helsinki - ethical principles for medical research involving human subjects.

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Du, N., Ouyang, Y., He, Z. et al. The qualitative analysis of characteristic of callers to a psychological hotline at the early stage of COVID-19 in China. BMC Public Health 21, 809 (2021). https://doi.org/10.1186/s12889-021-10883-w

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