Coronavirus, which is the causal agent of the current deadliest disease, belongs to the family of viruses. Coronavirus is zoonotic, meaning it is transmitted between animals and humans (Adhikari et al. 2020). In 2019, a new report of coronavirus disease known as COVID-19 emerged in humans. It was believed to have started in Wuhan, China. The World Health Organization (WHO) declared it a public health emergency on 30 January, 2020. Further, the name COVID-19 was assigned to the coronavirus disease on 11 February, 2020, and it was declared a pandemic on 11 March, 2020 (WHO, 2020).
Some common symptoms recorded of COVID-19 are fever at 38°C or above, dry cough and difficulty breathing (Adhikari et al. 2020). The same report shows that patients may report a general feeling of being unwell, nasal congestion, sore throat, aches and pains. Some people also become infected without developing symptoms (asymptomatic). People infected with COVID-19 may recover, especially if they are a younger population or living without underlying illness (Rothan & Byrareddy, 2020). This is suggestive that the aged population or persons living with underlying illness have poor chances of recovering from a COVID-19 infection. COVID-19, which is now a pandemic, has recorded over 3 million confirmed cases spread across 212 countries and 238,084 deaths worldwide at present and these figures are currently rising (WHO, 2020).
An implication of these figures that spread across 212 countries is suggestive that there likely would be varied lived experiences and health impacts arising from the novel COVID-19 pandemic among people who are directly or indirectly affected by the pandemic. In terms of the health impacts from pandemics, researchers have often argued that the mental health should often be a paramount focus for researchers interested in exploring the health impacts from pandemics (Nickell, et al. 2004; Cava, et al. 2005; Gardener & Moallef, 2015; Park, et al. 2018; Xiang, et al. 2020). Further, the same researchers opined that, sufficient research into the experiences of everyone affected, and mental health impacts of pandemics on everyone affected, is underscored for informing appropriate intervention or protection programmes for everyone affected during pandemics.
Therefore, we intend to embark on a multinational study that explores the lived experiences of everyone affected by the novel COVID-19 pandemic, and the mental health impacts of the pandemic among everyone affected. Our intention is driven by the earlier cited literature which suggested this as the procedure for arriving at a sufficiently educated decision that is designed to offer intervention or protection programs for everyone affected during pandemics. Before embarking on our multinational study, it is worthy to acknowledge that scholars have strongly opined that a pilot study is imperative for gaining insight into what is actually required for our main multinational study that is aimed at informing appropriate intervention or protection programs for everyone affected by the novel COVID-19 pandemic (Maunder, 2009; Bidarbakhtnia, 2020). Further, some other scholars have also submitted that pilot studies offer increased likelihood of success for a main study by establishing its feasibility (Teijlingen & Hundley, 2001; Thabane, et al. 2019; Malmqvist, et al. 2019). Thus, we decided to have this pilot phase as a starting point.
With regard to the focus of our current study, there have been vast amounts of literature dedicated to the lived experiences of people during infectious disease outbreaks, and the mental health impacts of infectious disease outbreaks, (Lazarus, et al. 2002; Sprang & Silman, 2013; Gardener & Moallef, 2015; Park, et al. 2018). However, there is very little knowledge that is available about this with respect to the novel COVID-19 pandemic. Therefore, the current pilot study is aimed at creating a starting point for bridging the existing knowledge gaps. The current pilot study would also serve as among the first sources of knowledge for other researchers with similar interests to that of ours, given the importance of sharing lessons learnt from pilot studies (Teijlingen & Hundley, 2001; Thabane, et al. 2019).
Some of the lived experiences and the psychosocial impacts of infectious disease outbreaks have been highlighted by researchers. For instance, Maunder et al. (2003) found negative lived experiences, stigmatisation, anxiety and stress as the common complaints presented by patients with severe acute respiratory syndrome coronavirus (SARS-COV). This was further shared in Gardener and Moallef’s (2015) review which established that stigmatisation, psychotic presentations, fear of survival and infecting others, PTSD and reduced quality of life among other symptoms were apparent across all stages of post-SARS.
Furthermore, literature has also demonstrated that during infectious disease outbreaks, those particularly vulnerable to mental health problems were shown to be the front-line health workers treating patients affected by the SARS-COV outbreak (Chen, et al. 2005; Gardener & Moallef, 2015). Nickell et al. (2004) further supported this argument in their findings which established that half of the nurses working with patients of SARS-COV displayed emotional distress during the SARSCOV outbreak. Quite differently, it has been argued that both healthcare workers and the general public were shown to constitute more than one fifth of the total number of persons who experienced mental issues resulting from the SARS-COV outbreak (Sim & Chua, 2004; Park et al. 2018). In a similar argument, Chua et al. (2004) reported that stress, fatigue and worries were among the major mental health impacts experienced by healthcare workers and the general public during SARS outbreak. Overall, this is suggestive that there is a need to consider the lived experiences and protection of the general public and specific vulnerable groups in the research and policies surrounding infectious disease outbreaks.
Infectious disease outbreaks have also been shown to require preventive and control measures which often cause changes in our lifestyles and environments (Taylor, Agho, Stevens, & Raphael, 2008). These changes are often more impactful to our mental health than they are to our physical health (Wu et al. 2008). Quarantine and self-isolation are common control measures that are implemented during infectious disease outbreaks. Further, increased hygiene precaution (i.e. increased hand washing, wearing face masks, cleaning surfaces etc.) is another common control measure taken during infectious disease outbreak. Given the impacts of these control measures that are adopted to protect the general public’s physical health from infectious diseases, consideration of the implications of these measures on the mental health of public is paramount (Taylor et al. 2008).
Research has further indicated negative outcomes in relation to the measures implemented during infectious disease outbreaks. For instance, Bai, et al. (2004) determined the presence of acute stress disorders in persons who experienced quarantine during the SARS-COV outbreak. It was further determined that, such persons were also likely to report detachment from others, irritability, decreased work performance, and consideration of resignation. Sprang and Silman, (2013) embarked on a comparative study between parents and children quarantined, and those not. They found that anxiety, depression, and PTSD scores were higher in children who experienced quarantine than in those who did not experience quarantine. In that same study, over a quarter of quarantined parents met the classification for PTSD compared to six percent of those not quarantined. The longitudinal impact of having experienced restricted movement during infectious disease outbreak was highlighted in Wu, et al. (2008) study which demonstrated that three years after the SARS outbreak, alcohol dependency was positively correlated with having been quarantined and self-isolated. Overall, this demonstrates that peoples’ experiences of the preventive and control measures implemented during infectious disease outbreaks plays a crucial role on their mental wellbeing. It is therefore important to explore people’s experiences of both the novel COVID-19, and its control/ preventive measures.
Previous literature has further shown that apart from the impact of peoples’ experiences of control measures during infectious disease outbreaks, the awareness of and preparation for infectious disease outbreaks triggers mental health disturbances of anxiety (Lau et al. 2005; Lau et al. 2010). In some other studies, the levels of concern and knowledge of infectious disease outbreaks have also been identified to have impacts on mental health during such outbreaks (Almutairi et al, 2015), and this makes knowledge measurement of infectious disease an important concern during times of disease outbreaks. In another study, Taylor, et al. (2008) ascertained that greater anxiety levels were common quite early in the general public during infectious disease outbreaks, given the high levels of concern from the general public about the outbreak. The greater anxiety levels was further found to worsen by increased social distancing during infectious disease outbreaks. Therefore, this also supports our argument that the outbreak of infectious diseases have negative effects on the mental health of people. This underscores the urgency for studying the lived experiences, and mental health impacts from the novel COVID-19 pandemic (Xiang, et al. 2020).
Finally, some recent studies have been conducted on the mental health impacts from the novel COVID-19, and lived experiences of people in affected countries (Sun, et al. 2020; Nicomedes, et al. 2020; Zhang, & Ma, 2020). However, those studies failed to consider multinational data from people who are directly or indirectly affected by the pandemic. Consequently, such studies cannot provide multinational information from a pilot study or a main study that is required to offer intervention and protection programmes for everyone affected by the novel COVID-19.
Above related studies suggests a strong agreement that the outbreaks of infectious disease in our environments triggers high rates of mental issues which often include depression, and anxiety; therefore the current study would focus on depression and anxiety as the predicted mental health impacts from the COVID-19 pandemic. This is likely a consensus with the behaviorist theory of mental illness, which postulates that mental health issues such as depression and anxiety is the outcome of people’s interaction with their environment (McLeod, 2015), for example people’s interaction with their environments during outbreaks of infectious diseases (Wu, et al. 2008; Sprang & Silman, 2013). Further, in related studies, peoples’ concern, knowledge, and experiences during outbreaks of infectious disease was also found to have effects on their mental health during such outbreaks (Lau et al. 2005; Lau et al. 2010; Almutairi et al, 2015), and this is a theoretical collaboration with cognitive theory of anxiety and depression (Beck, 1967), which shows that cognitive factors play key roles in predicting mental health.
Informed by the thorough literature review in this paper, there is currently no present multinational data from a pilot study nor a main study on the lived experiences and mental health impacts from the latest COVID-19 pandemic which is currently affecting 212 countries. Therefore, we presented the following research questions that were answered through a pilot study: (a). What is the feasibility of our research instrument by studying the levels of anxiety and depression in a multinational sample affected by the COVID-19 pandemic? (b). What is the feasibility of our research instrument by studying the lived experiences reported in a multinational sample affected by the COVID-19 pandemic?. Further, given the findings from Almutairi et al, (2015), and the fact that we are conducting a pilot study, we presented a third research question: (c). What is the feasibility of our research instrument by measuring the extent of knowledge of the COVID-19 pandemic in a multinational sample affected by the pandemic?. Pilot studies are often conducted to identify barriers to the recruitment of respondents in the main study (Fink, 2003). Therefore, it was asked that: (d). What barriers are likely to limit recruitment process in our main study?
This was a mixed methods study carried out to study part of a later study. The mixed method research design was adopted as it is the best design to answer our research questions that require quantitative and qualitative data (Wisdom & Creswell, 2013). Given our study focus, and as informed by literature on how to design a mixed methods design for our kind of pilot study (Creswell & Hirose, 2019), our study was designed to collect quantitative and qualitative data simultaneously. Therefore, our main study would be considered feasible with the mixed methods design if both the quantitative and qualitative data sources of this pilot study are able to supply sufficient information from respondents that simultaneously addresses our research questions. It would also be feasible if there is a consensus in the findings from our quantitative and qualitative studies (Wisdom & Creswell, 2013).
For this pilot study, every likely respondent had equal chances of being recruited and those who responded to our survey were encouraged to share the survey with other likely respondents. Thus, we deployed a random, and snowball technique for recruiting respondents via the social media platform (Linkedin) for a very short timeframe. Our later study would, therefore, be rated as feasible if these sampling techniques and electronic survey medium enable us to recruit respondents with diverse demographics who are directly or indirectly affected by the COVID-19 pandemic. For instance, successfully recruiting respondents from more than half the total number of countries that respondents were recruited from, whose total number is more than half of the total respondents from the country with the highest number of respondents, in the short timeframe that the recruitment strategy was deployed (Lin, Lin, Yen, & Wu, 2010).
Our study required that willing respondents could communicate (written and spoken) using English language, were 18 years and above and were directly or indirectly affected by the COVID-19 pandemic. On the other hand, our study excluded likely respondents who were not willing, who could not communicate using English language, who were less than 18 years and who were not directly or indirectly affected by the pandemic. Although our study was designed as a pilot study of everyone directly or indirectly affected by the pandemic, we excluded likely respondents who could not communicate using English language and respondents below 18 years of age, and we have addressed this in the “Strengths and limitations of our pilot study” section of this paper.
We were restricted from accessing patients with COVID-19 because of the nature of the disease, and the treatment they were receiving which limited their access to being selected for our pilot study (Adhikari et al. 2020). Therefore, our respondents (for quantitative and qualitative studies) comprised 91 members of the general population who were directly or indirectly affected by the pandemic. Their mean age was 37 ± 9.61 (age range 18–58 years). Further, descriptive statistics showed that, our respondents were from 14 countries (See Table 1 for further details).
Demographic profile of respondents
Male | 33 | 36.3 |
Female | 58 | 63.7 |
High school | 13 | 14.3 |
Tertiary institution | 78 | 85.7 |
Christianity | 41 | 45.1 |
Islam | 9 | 9.9 |
Other religion/no religion | 41 | 45.1 |
Unemployed | 39 | 42.9 |
Employed | 52 | 57.1 |
China | 11 | 12.1 |
Finland | 3 | 3.3 |
France | 10 | 11.0 |
Germany | 1 | 1.1 |
Kenya | 1 | 1.1 |
Malaysia | 4 | 4.4 |
The Netherlands | 3 | 3.3 |
Nigeria | 11 | 12.1 |
Norway | 6 | 6.6 |
Pakistan | 3 | 3.3 |
Singapore | 10 | 11.0 |
United Arab Emirates | 7 | 7.7 |
UK | 11 | 12.1 |
USA | 10 | 11.0 |
Quantitative data were collected using structured questionnaires. The Generalised Anxiety Disorder-7 (GAD-7) by Spitzer, Kroenke, Williams, and Lowe (2006) was used to assess the anxiety levels of respondents. The scores on this 7-item scale ranged from 0 to 21 and the interpretation of scores is as follows: 0–5 = mild; 6–10 = moderate; 11–15 = moderately severe anxiety and 16–21 = severe anxiety. The second questionnaire was the Patient Health Questionnaire 9 (PHQ-9) by Kroenke, Spiltzer, and Williams (1999). It is a 9-item scale used to screen for the likely presence of depression in respondents. The maximum possible score on the PHQ-9 was 27, whereas the minimum possible score was 0. Respondents’ scores were interpreted as: 0–4 = none–minimal; 5–9 = mild; 10–14 = moderate; 15–19 = moderately severe and 20–27 = severe. There was a supplementary respondent-rated single-item scale, which asked respondents to rate how difficult a problem made it for them to function normally in their daily lives. The authors added this single-item scale to complement the scores of respondents in the PHQ. Scores on this single-item scale ranged from 0 to 3. All scales are a 4-point Likert-type scale.
The clinical instruments (GAD-7 and PHQ-9) are valid for establishing provisional diagnoses for selected DSM-IV disorders during pandemic exposures (Kroenke, Spiltzer, Williams, & Lowe, 2010). Our current study structured these questionnaires to screen for the likely presence of anxiety and depression due to the impact of the current COVID-19 pandemic. These scales have been found to demonstrate very strong psychometric properties in various multinational samples (Cholera et al. 2014; Chibanda et al. 2016; American Psychological Association, 2019; Maroufizadeh et al. 2019). Therefore, this made these instruments a good fit for our study that was designed to target a multinational sample.
Qualitative data were collected using open-ended questions that were designed to gather data from respondents regarding their knowledge and lived experiences of the COVID-19 pandemic. Before conducting our pilot study, all research instruments received content validation from a multinational sample comprising 15 experts (7 clinical psychologists, 4 public health experts and 4 psychiatrists) from nine countries (Malaysia, Nigeria, the UK, China, Kenya, the Netherlands, Singapore, France, and the USA). These 15 experts were randomly selected from Twitter for this purpose, and they were not among the respondents in our pilot study, in order to avoid information contamination. We maintained close contacts with the 15 experts before and throughout our pilot study, and we informed them that they would not be included in our pilot study. All 15 experts were found to adequately comply with our instructions.
We embarked on content validation to ensure that our instruments were in line with our research objectives and questions. An agreement was reached by the 15 experts that our instruments were consistent with our research questions and objectives. An evidence for the content validation of instruments was offered by Krippendorff (2013), who established that expert judgement was imperative for ascertaining instrument appropriateness in quantitative or qualitative research. Given that the current study is a pilot phase, a high psychometric report from the research instruments in the pilot phase is suggestive of a feasibility for the full-scale study (Saunders, et al. 2009; Fink, 2003).
A proposal that described the research purpose and procedure was submitted to the Oyo State Ministry of Health, Nigeria for the purpose of obtaining an ethical approval for this study. When designing our online survey, the first page was designed to obtain consent from the respondents after explaining the research purpose and ethical considerations and requesting the respondents to click yes if they agreed to participate in the study or click no and close the page if they declined to participate in the study.
Our quantitative and qualitative study instruments were available in only English language, and merged into a single online survey, and the link to this survey was shared by all authors to the social media platform. All authors shared the online survey through their individual social media accounts in order to increase the likelihood of recruiting respondents with diverse demographics. The online survey procedure was most suitable for collecting data from a multinational sample; it was cost saving and also suitable for the time our study was conducted (Saunders et al. 2009). This was given the total lockdown that was implemented in most parts of the world, which restricted movements of individuals. In our online survey, respondents were made to know that their participation in the study was highly voluntary and they could choose not to participate at any point of the study. They were also made to understand that there were no direct benefits for them if they participated in the study; however, an indirect benefit was stated that respondents will gain knowledge about our major findings on the social media platforms that they were selected from. Confidentiality was also maintained throughout.
The chances of self-report bias were minimised by ensuring that no personally identifiable information of respondents was requested from them. Further, we structured our online survey to restrict access to respondents who had previously completed it; therefore, it was less likely that a respondent completed our survey more than once. Also, given that the study investigated mental health impacts from the pandemic, we designed the last page of the online survey to include our contact details and we requested that respondents could contact us for e-counselling if they were down from the impacts of the pandemic. This was also supportive of the fact that the second author is a registered and experienced clinical health psychologist and the first and third authors have experienced years of practice in responding to the mental health needs of vulnerable populations. We did this as part of the protection of respondents from the likely negative impacts of the pandemic, and it was in line with literature’s suggestion for ethical considerations during this kind of study (Adejumo & Olorunesan, 2018).
A total of 106 respondents attempted our survey, however 91 respondents completed the survey. This gave us a completion rate of 86%. After data collection, we exported data for cleaning and analyses. Quantitative data were descriptively analyzed using SPSS (v. 22.0). In related studies where our quantitative instruments were utilized on general populations, attention was given to respondents who scored a total score of 10 or above when presenting the results (Lowe, et al. 2008; Kroenke, et al. 2009). Therefore, in consonance with these related studies, we adopted the same focus when reporting respondents score on the GAD-7 and PHQ-9. On the other hand, our qualitative data were subjected to thematic analysis. Thematic analysis was most appropriate for our qualitative analysis, given that the focus of our qualitative study was aimed at understanding the patterns of lived experiences reported by respondents (Nowell, et al. 2017; Roberts, et al. 2019). Finally, although all 91 respondents had their responses reported in our quantitative results, not all had their responses reported in our final qualitative results because of the coincidence of the same responses from different respondents (Baillou, 2008).
Our respondents comprised 33 males and 58 females. Further, 13 of our total respondents reported having high school education as their highest education, whereas 78 reported having obtained degrees from tertiary institutions. In terms of religion, 41 respondents were Christians, 9 belonged to Islam and 41 had either no religion or other religion. In terms of the employment status, 39 were unemployed and 52 were employed. Lastly, the distribution of respondents by country showed that, of our total respondents, 11 were from China, 3 from Finland, 10 from France, 1 from Germany, 1 from Kenya, 4 from Malaysia, 3 from the Netherlands, 11 from Nigeria, 6 from Norway, 3 from Pakistan, 10 from Singapore, 7 from the United Arab Emirates, 11 from the UK and 10 were from the USA.
In Table 2, both scales were established to report very strong reliability coefficients as determined by Cronbach’s alpha. Furthermore, the mean score on each scale suggests a moderate and mild level of anxiety and depression, respectively.
Descriptive statistics and Cronbach’s alpha scale
GAD-7 | 6 | 5.54 | 0.90 |
PHQ-9 | 6.4 | 5.84 | 0.88 |
GAD-7, Generalised Anxiety Disorder-7; PHQ-9, Patient Health Questionnaire 9
Table 3 shows that among all respondents, the minimum score on the GAD-7 was 0, whereas the maximum score was 21. Further, 68 respondents had a total score < 10, whereas 23 respondents had a total score of 10 or >.
Distribution of respondents by total score on the GAD-7 scale
0 | 14 | 15.4 |
1 | 9 | 9.9 |
2 | 10 | 11.0 |
3 | 10 | 11.0 |
4 | 8 | 8.8 |
5 | 4 | 4.4 |
6 | 5 | 5.5 |
7 | 1 | 1.1 |
8 | 5 | 5.5 |
9 | 2 | 2.2 |
10 | 4 | 4.4 |
11 | 3 | 3.3 |
12 | 4 | 4.4 |
13 | 3 | 3.3 |
15 | 3 | 3.3 |
16 | 2 | 2.2 |
20 | 2 | 2.2 |
21 | 2 | 2.2 |
Distribution of respondents by total score on the supplementary single-item scale
0 | 33 | 36.3 |
1 | 43 | 47.3 |
2 | 12 | 13.2 |
3 | 3 | 3.3 |
The results from the supplementary single-item scale showed that, 33 respondents reported no difficulty in their daily living as a result of the COVID-19 pandemic. Further, 43 respondents reported they found it somewhat difficult, whereas 12 respondents reported that it was very difficult for them in terms of their daily living due to the COVID-19 pandemic. Lastly, three respondents reported extreme difficulty in terms of their daily living due to the pandemic.
Table 5 shows that among all respondents, the minimum score on the PHQ-9 scale was 0, whereas the maximum score was 25. Further, 70 respondents had a total score < 10, whereas 21 respondents had a total score of 10 or >.
Distribution of respondents by total score on the PHQ-9 scale
0 | 14 | 15.4 |
1 | 5 | 5.5 |
2 | 10 | 11.0 |
3 | 5 | 5.5 |
4 | 9 | 9.9 |
5 | 7 | 7.7 |
6 | 3 | 3.3 |
7 | 8 | 8.8 |
8 | 4 | 4.4 |
9 | 5 | 5.5 |
10 | 4 | 4.4 |
12 | 4 | 4.4 |
13 | 3 | 3.3 |
14 | 1 | 1.1 |
15 | 1 | 1.1 |
18 | 2 | 2.2 |
19 | 3 | 3.3 |
21 | 1 | 1.1 |
22 | 1 | 1.1 |
25 | 1 | 1.1 |
PHQ-9, Patient Health Questionnaire 9
The results shown in Table 6 reveal that more than half of the respondents had high knowledge level of COVID-19. The criteria for judging their knowledge included: history of the disease, the causal agent, early and late symptoms, the transmission process, preventive measures, the most vulnerable population and help-seeking approaches for persons living with or at risk of COVID-19. Therefore, respondents who met all the criteria were grouped as having high knowledge, while those who met some but not all these criteria were grouped as having partial knowledge. On the other hand, respondents who did not meet any of these criteria were grouped as having poor knowledge or no knowledge.
Summary of respondents’ knowledge of COVID-19 What do you know about COVID-19? Please, freely expand your responses.
58 (63.7%) | 30 (33.0%) | 3 (3.3%) |
We noticed that respondents who demonstrated partial knowledge often reported good knowledge on either the history of the disease, early and late symptoms, or transmission process of the disease. Furthermore, regarding the total respondents who had high knowledge level of COVID-19, they mostly stated that the major sources from which they gained knowledge were from the television, radio, online academic papers and other internet materials.
This section presents the qualitative findings which demonstrated the lived experiences of respondents from the COVID-19 pandemic. Responses were labelled with the gender, age and country of respondent. The following themes emerged.
This was the first theme that emerged, showing that most respondents reported changes in their lifestyle due to the pandemic. These are seen in the following responses:
Similarly, a set of respondents opined the following:
Another set of respondents similarly stated as follows:
Some other respondents reported disruption of their schooling activities:
Another respondent reported changes in schooling activities and difficulty coping with these changes. Furthermore, he differently reported increased fighting among people staying at home due to the lockdown:
A 35-year-old respondent from Norway stated that the pandemic has had impacts on the options to get health services for illnesses other than COVID-19:
Another set of respondents stated that the COVID-19 pandemic has disrupted their works and country’s economy:
Similarly, some respondents reported thus:
Also, this respondent stated same; in addition, he stated that the pandemic caused an end to his dating relationship in Spain:
Another 53-year-old UK respondent stated thus:
The respondents stated that their major lived experience from the COVID-19 pandemic was anxiety:
Another respondent simply emphasised:
Another respondent reported that his major anxious concern was centred on the fear of contracting the virus:
A respondent from the Netherlands stated that the psychological impacts from the worries of the pandemic were wearing him down:
A UAE respondent whose dad was vulnerable stated that he and his friends were very worried about the spread and impact of COVID-19:
A Nigerian female respondent stated that she was scared of the pandemic, and she likely developed obsessive compulsive disorder (OCD) which she thought would have been more harmful than the COVID-19 pandemic itself:
A UK respondent who was recovering from anxiety before the onset of the pandemic stated that the pandemic was having impacts on her recovery process:
Another respondent from China stated that the pandemic had mental impacts typical of fears and worries:
Similarly, the respondents stated that:
Our pilot study found that more respondents had scores of 10 or greater on the GAD-7, as compared with the PHQ-9. We also found that more than half (58, 63.7%) of the total respondents demonstrated high knowledge level of the COVID-19 pandemic, with their major information sources as television, radio, online academic papers, and other internet information. These findings were obtained from our quantitative insight, and they were in consonance with literature where anxiety and depressive symptoms have been reported among people who were directly or indirectly affected by infectious disease outbreaks (Lau, et al. 2005; Maunder, et al. 2003; Taylor et al. 2008; Sprang & Silman, 2013; Gardener & Moallef, 2015). Going further, the findings from our knowledge assessment of COVID-19 was in agreement with Lau, et al. (2005) who found in a diverse sample that although respondents were not psychologically prepared for the SARS-COV outbreak, more than half of the total respondents showed good knowledge of the disease, and this good knowledge possibly limited the mental health impacts of the disease outbreak on respondents. Therefore, the fact that more than half of the total respondents in our pilot study showed high knowledge level of the COVID-19 pandemic could likely justify the extent of mental health impacts (anxiety & depression) resulting from the COVID-19 pandemic that was observed in our results.
Our qualitative study explored the lived experiences of respondents from the COVID-19 pandemic, and the findings revealed five (5) themes which were; changes in lifestyles which was the first theme reported by most respondents in the qualitative study. Second theme was the disruption of schooling activities. Third was impact on options for health services. Fourth was disruption of works and economy, and fifth was anxious and worrisome impacts of the COVID-19 pandemic. In further details, the first theme demonstrated that most respondents in our qualitative study experienced changes in their lifestyles. For instance, restricted movements, increased socializing via social media due to lockdowns, and increased use of face masks and hand sanitizers. Further, it was obvious that most respondents were not used to nor prepared for these changes in lifestyle before the pandemic started. Therefore, the first theme which accommodated most responses from our respondents was in consonance with literature which submitted that preventive/control measures implemented during infectious diseases outbreaks play crucial roles in affecting people (Bai, et al. 2004; Sprang & Silman, 2013).
The second theme which showed that respondents felt disruption of schooling activities as their major lived experience showed that most respondents in this theme stated that their school had either stopped operation or they had to do schooling from home which they were obviously not used to before COVID-19 became a pandemic. Also, some respondents in this theme reported that their examination has been cancelled due to the pandemic. The third theme was formed from a respondent who reported that the COVID-19 pandemic has affected his health service options for illnesses other than COVID-19. This is, therefore, suggestive that clinical populations other than patients with COVID-19 may have limited practice of professional help seeking for any health problem that they are living with, and this is due to the novel COVID-19 which has disrupted the normal way of life for almost everyone.
The fourth theme showed that the major experience of some respondents caused by the pandemic was the disruption of works and economy caused by the pandemic. In further detail, respondents in this theme stated that the COVID-19 pandemic had significantly affected their work procedures, and they were not prepared for this. Some others stated that the pandemic had affected their job security, caused their businesses to struggle and increased telecommuting for them. There were also respondents who strongly stated that there was a drastic increase in the prices of foods and other items due to the pandemic. Some other respondents in this theme also reported that they were currently experiencing scarcity of essential items at supermarkets. Therefore, the first, second, third and fourth themes identified in our study can be linked to the fact that the novel COVID-19 pandemic has brought about drastic changes among our respondents in these themes, and it is also evident that our respondents were mostly not prepared for these changes as reflected in most of their responses in the “Qualitative results” section of this paper. From the responses of respondents in these themes, it is also evident that most of them are still on the process of coping with the changes caused by the novel pandemic. The first, second, third and fourth themes are thus quite in agreement with Lau et al. (2005), who reported that psychological preparation for infectious disease outbreak was imperative for coping during such outbreaks.
Our last theme which showed that anxious and worrisome impacts were the major experiences of some respondents demonstrated fears about contracting or dying from COVID-19. It also demonstrated fears about family members who were most vulnerable because of certain underlying illnesses that they had. It also established fears about the pandemic from conversations that respondents have been having with their friends in recent days. Given the anxious concerns of respondents, the last theme suggests that the pandemic could have triggered anxiety because of likely catastrophising which the respondents engaged in, and this is a theoretical agreement with the cognitive theory of mental illness (Beck, 1967). This was also supported by the last response in the qualitative study which was from a female, who stated that she was scared that her family and friends will contract the virus and die from it. The last theme reported in our study was in collaboration with Gardener and Moallef (2015) who argued that fear of contracting, fear of survival and fear of infecting others were among the experiences of people during infectious disease outbreaks. It was also in agreement with Maunder et al. (2003) who opined that anxiety was common among people during the outbreak of SARS-COV.
Finally, apart from the consistency of our findings with literature, we also observed that there was a consensus between our quantitative and qualitative findings (Wisdom & Creswell, 2013). For instance, in our quantitative results, we observed that in comparison with the PHQ-9, more respondents submitted total scores of 10 or greater on the GAD-7. An implication of these scores is that the COVID-19 pandemic had more anxious than depressive impacts on our respondents. This was therefore in agreement with our qualitative results where in comparison with reporting depressive experience about the COVID-19 pandemic, respondents often reported anxious experiences about COVID-19 pandemic. This consensus is suggestive that our research instruments were valid, by truly measuring what they were designed to measure. It is also an indication that the content validation conducted before this pilot study which we reported in “the methods section” of this paper was efficacious.
Our study being a pilot study has offered great insights into what is actually needed for our main multinational study. These insights include that the quantitative and qualitative instruments used in this pilot phase are feasible for an actual multinational study of this kind, and this is given the high psychometric reports, and consensus in findings from the data gathered by our instruments (Fink, 2003; Saunders, et al. 2009; Wisdom & Creswell, 2013). Another insight offered suggests that the inclusion of measures that quantifies psychosocial preparedness for pandemics may be considered in the later study given that most respondents’ reported lived experience was changes in lifestyle, disruption of schools, works and economy. These respondents also submitted unpreparedness for these changes, and this probably might have triggered the extent of anxiety levels found in this pilot study. The psychosocial preparedness for pandemics measure may thus be considered for the purpose of analyzing the interactions between scores on such measure and scores on the GAD-7.
Further, we dedicated a very short timeframe with our little available financial resources to the recruitment of respondents for this pilot study via Linkedin. Despite this, our recruitment strategy enabled us to recruit respondents from fourteen (14) countries, and the highest number of respondents from each country was 11, with 8 countries having more than half of 11 respondents. This is a plus to our recruitment strategy (Lin, et al. 2010); it has thus revealed that, in order to access a large sample that is representative enough of everyone who are directly or indirectly affected by the pandemic, a sufficient timeframe with adequate financial resources, and more social media platforms will be required. The ability of this pilot study to reveal the requirements for our main study is in line with scholars’ opinions about the importance of pilot studies (Teijlingen & Hundley, 2001; Maunder, 2009; Thabane, et al. 2019; Malmqvist, et al. 2019; Bidarbakhtnia, 2020).
Another offered insight suggests that, it was not obvious whether patients or survivors of COVID-19 were among our respondents, as we were restricted from accessing them (Adhikari, et al. 2020). Therefore, the need to ensure that this population is included in a later study is also underscored. Given all insights gained from our pilot study, it thus presents a consensus with the criteria for judging the feasibility of our main study that was mentioned in our methods section (Fink, 2003; Saunders, et al. 2009; Lin, et al. 2010; Wisdom & Creswell, 2013).
From all above, there is a very strong agreement that the current study succeeded in providing great insights for our main study. Therefore, the main study is very feasible, with minor addition needed on the protocol.
Given our findings from the knowledge assessment of COVID-19, we recommend that appropriate information sharing should be strengthened during pandemics in order to increase public awareness during pandemics. Second, we recommend that appropriate information sharing through television, radio, online academic papers, and other internet materials should be encouraged given the finding that most respondents stated these as their sources of knowledge about COVID-19. There is also the need to make these sources of knowledge accessible to others who lack access to them.
Going further, we recommend that adaptive coping skill training should be a concern for counselors, therapists and other health workers involved in works with persons affected by the COVID-19 pandemic. Such adaptive coping skill training should focus on decreasing the adverse impacts of the pandemic by training people to adapt to the changes or disruptions that are brought about by the pandemic.
Further, we recommend the need for psychosocial preparation due to the uncertainty of pandemics. In addition, averting the likely adverse economic impacts from pandemics should be of concern to governments and other stakeholders during pandemics. Finally, we recommend that governments and other stakeholders should be cautious about the likelihood of limited health service options for the general public during pandemics.
Our pilot study showed high validity and reliability of our research instruments on a multinational sample, and this met the relevance of pilot studies (Saunders, et al. 2009). Another strength of our study was the very active efforts deployed by the researchers to minimize the occurrence of confounding factors. Therefore, the reported feasibility of our main study could minimally be undermined by confounding factors. Another strength of our study was the e-counseling services we offered to respondents to reduce the adverse impacts of COVID-19 pandemic on our respondents. On the other hand, our pilot study on 91 respondents offered great insights into what is required for a later study, it however failed to meet the minimum requirement of sample size for pilot studies of this kind (Fink, 2003), and this was attributed to our available resources. It is thus suggestive that a pilot study on a bigger sample size might have offered greater insights into what would be required for a later study.
Another limitation of our study is that our study excluded likely respondents who could not communicate using English language, and this was because our available financial resources could not accommodate paying for the services of an interpreter of any other language. We also excluded likely respondents who were below age 18 years, and this was because of the sensitivity of informed consent for persons below adult age. There is thus the need to consider these populations in a later study because they were excluded from our pilot study.
We conclude that our main study is very feasible, with minor additions required on the protocol. Finally, full-scale studies are needed in order to provide sufficiently educated decisions that are aimed at addressing the mental health needs of everyone who are directly or indirectly affected by the experience of the novel COVID-19 pandemic.
Summary of respondents’ knowledge of COVID-19 What do you know about COVID-19? Please, freely expand your responses.
58 (63.7%) | 30 (33.0%) | 3 (3.3%) |
Distribution of respondents by total score on the GAD-7 scale
0 | 14 | 15.4 |
1 | 9 | 9.9 |
2 | 10 | 11.0 |
3 | 10 | 11.0 |
4 | 8 | 8.8 |
5 | 4 | 4.4 |
6 | 5 | 5.5 |
7 | 1 | 1.1 |
8 | 5 | 5.5 |
9 | 2 | 2.2 |
10 | 4 | 4.4 |
11 | 3 | 3.3 |
12 | 4 | 4.4 |
13 | 3 | 3.3 |
15 | 3 | 3.3 |
16 | 2 | 2.2 |
20 | 2 | 2.2 |
21 | 2 | 2.2 |
Distribution of respondents by total score on the PHQ-9 scale
0 | 14 | 15.4 |
1 | 5 | 5.5 |
2 | 10 | 11.0 |
3 | 5 | 5.5 |
4 | 9 | 9.9 |
5 | 7 | 7.7 |
6 | 3 | 3.3 |
7 | 8 | 8.8 |
8 | 4 | 4.4 |
9 | 5 | 5.5 |
10 | 4 | 4.4 |
12 | 4 | 4.4 |
13 | 3 | 3.3 |
14 | 1 | 1.1 |
15 | 1 | 1.1 |
18 | 2 | 2.2 |
19 | 3 | 3.3 |
21 | 1 | 1.1 |
22 | 1 | 1.1 |
25 | 1 | 1.1 |
Demographic profile of respondents
Male | 33 | 36.3 |
Female | 58 | 63.7 |
High school | 13 | 14.3 |
Tertiary institution | 78 | 85.7 |
Christianity | 41 | 45.1 |
Islam | 9 | 9.9 |
Other religion/no religion | 41 | 45.1 |
Unemployed | 39 | 42.9 |
Employed | 52 | 57.1 |
China | 11 | 12.1 |
Finland | 3 | 3.3 |
France | 10 | 11.0 |
Germany | 1 | 1.1 |
Kenya | 1 | 1.1 |
Malaysia | 4 | 4.4 |
The Netherlands | 3 | 3.3 |
Nigeria | 11 | 12.1 |
Norway | 6 | 6.6 |
Pakistan | 3 | 3.3 |
Singapore | 10 | 11.0 |
United Arab Emirates | 7 | 7.7 |
UK | 11 | 12.1 |
USA | 10 | 11.0 |
Distribution of respondents by total score on the supplementary single-item scale
0 | 33 | 36.3 |
1 | 43 | 47.3 |
2 | 12 | 13.2 |
3 | 3 | 3.3 |
Descriptive statistics and Cronbach’s alpha scale
GAD-7 | 6 | 5.54 | 0.90 |
PHQ-9 | 6.4 | 5.84 | 0.88 |
How to measure the impact of the COVID-19 pandemic on quality of life: COV19-QoL – the development, reliability and validity of a new scale A Multinational Pilot Study on the Lived Experiences and Mental Health Impacts from the COVID-19 Pandemic Physician Suicide: A Scoping Literature Review to Highlight Opportunities for Prevention Factor structure of the Albanian version of the Clinical Assessment Interview for Negative Symptoms (CAINS): Associations with the Brief Symptoms Inventory (BSI) Media portrayal of panic buying: A content analysis of online news portals Lack of Association between Academic Achievement and Social Phobia among High School Students of Kathmandu Depression and Associated Factors among International Students in a Private University of Bangladesh Effect of dance movements on stereotype and repetitive behaviours of cases with autism spectrum disorder High variability of the current mental health practices around the globe: Twenty days in the lives of psychiatrists and other mental health care professionals from all over the world Depression in adolescents exposed to war trauma Risk factors for development of depression in adolescents exposed to war trauma: does PTSD matter? Maha Sulaiman Younis: A personal history of psychiatry in Iraq through war and conflict