key: cord-0900114-i8k2vch4 authors: Islam, Md. Rabiul; Quaiyum, Sumaiya; Pakhe, Sajuti Akter; Repon, Md Azim Uddin; Bhuiyan, Mohiuddin Ahmed title: Dataset concerning the mental health of healthcare professionals during COVID-19 pandemic in Bangladesh date: 2021-10-23 journal: Data Brief DOI: 10.1016/j.dib.2021.107506 sha: e375a8a4564f3956320bd03c64536b71f957cff6 doc_id: 900114 cord_uid: i8k2vch4 The present dataset is concerned with an article entitled “Effect of COVID-19 pandemic on mental health among Bangladeshi healthcare professionals: A cross-sectional study” [1]. This data article consists of a dataset regarding the mental health of Bangladeshi healthcare professionals (HCPs) during the ongoing COVID-19 pandemic. We collected the data from July 15, 2020, to September 20, 2020, using Google survey tools (Google Forms). A total of 355 complete responses have been obtained from the Bangladeshi HCPs aged between 20–60 years (male: 204, female: 151). We obtained informed consent from all participants for this study. We assessed the sociodemographic profile and four psychometric measures of HCPs working in Bangladesh during the COVID-19 pandemic. A structured questionnaire was used to collect the demographic information. We used the UCLA loneliness scale-8 (UCLA-8), the patient health questionnaire-9 (PHQ-9), the 7-item generalized anxiety disorder scale (GAD-7), and the Pittsburgh sleep quality index (PSQI) were applied to measure loneliness, depression, generalized anxiety, and sleep disturbance, respectively. This dataset presents the descriptive analysis of psychometric variables of participants. Also, the dataset might be used as a platform for future research on psychometric evaluation using the above scales. We included participants regardless of the sociodemographic backgrounds of HCPs. Therefore, the policymakers, government, and non-government organizations can use this data to develop different programs for promoting the mental health of HCPs and the general population in Bangladesh. The present dataset is concerned with an article entitled "Effect of COVID-19 pandemic on mental health among Bangladeshi healthcare professionals: A cross-sectional study" [1] . This data article consists of a dataset regarding the mental health of Bangladeshi healthcare professionals (HCPs) during the ongoing COVID-19 pandemic. We collected the data from July 15, 2020, to September 20, 2020, using Google survey tools (Google Forms). A total of 355 complete responses have been obtained from the Bangladeshi HCPs aged between 20-60 years (male: 204, female: 151). We obtained informed consent from all participants for this study. We assessed the sociodemographic profile and four psychometric measures of HCPs working in Bangladesh during the COVID-19 pandemic. A structured questionnaire was used to collect the demographic information. We used the UCLA loneliness scale-8 (UCLA-8), the patient health questionnaire-9 (PHQ-9), the 7-item generalized anxiety disorder scale (GAD-7), and the Pittsburgh sleep quality index (PSQI) were applied to measure loneliness, depression, generalized anxiety, and sleep disturbance, respectively. This dataset presents the descriptive analysis of psychometric variables of participants. Also, the dataset might be used as a platform for future research on psychometric evaluation using the above scales. We included participants regardless of the sociodemographic backgrounds of HCPs. Therefore, the policymakers, government, and non-government organizations can use this data to develop different programs for promoting the mental health of HCPs and the general population in Bangladesh. © 2021 The Author(s • Researchers can use this dataset to compare the mental health of other populations during this ongoing health emergency. • The dataset allowed for quick data collection during global health emergencies. • The present dataset can initiate studies to measure the severity of mental health problems among HCPs in Bangladesh to understand the gravity of the issue. • The dataset is useful for policymakers and government or non-government organizations to take proper measures for promoting mental health. The World Health Organization (WHO) endorsed the COVID-19 as a global pandemic on March 11, 2020 [1, 2] . Since then, the world fighting this pandemic, and nobody knows when it will stop. The Bangladesh government declared a country-wide lockdown on March 26, 2020, to curb the spreading of this virus among its citizens [3] . The COVID-19 responses have impacted the personal, social, and work-life of many people across the globe [4] [5] [6] [7] . Also, the pandemic has more or less impact in every sector in a country [8] [9] [10] . Therefore, the COVID-19 pandemic tremendously affected the mental health of the general population of any country [ 11 , 12 ] . As frontline fighters, the impact of the COVID-19 pandemic on the mental health of HCPs was high due to this relatively unknown and lethal virus [13] . The ongoing pandemic has placed HCPs in a situation of intense psychological pressure and moral responsibilities [14] . According to the findings, the composition of physicians, pharmacists, nurses, and medical technologists were 30%, 23%, 26%, and 22%, respectively. Among all HCPs, males and females were 57 and 43%. Only 36% HCPs were above 40 years of age, and the majority of the respondents were from a lower economic class (72%) residing in the urban area (76%). The dataset provides (i) evaluation of loneliness by using the UCLA loneliness scale-8 (UCLA-8) in Table 1 , (ii) evaluation of depression by the patient health questionnaire-9 (PHQ-9) in Table 2 , (iii) evaluation of anxiety applying the 7-item generalized anxiety disorder scale (GAD-7) in Table 3 , (iv) evaluation of sleep disturbances by the Pittsburgh sleep quality index (PSQI) in Table 4 , (v) distribution of different psychometric parameters among the respondents in Table 5 , Table 2 Distribution of responses based on the patient health questionnaire-9 (PHQ-9). Indicate how often each of the statements below is descriptive of you. Frequency (n) Percentage (%) Table 3 Distribution of responses based on the 7-item generalized anxiety disorder (GAD-7) scale. Indicate how often each of the statements below is descriptive of you. Frequency (n) Percentage (%) (vi) the severity of different psychometric parameters among the respondents in Table 6 . We presented a detailed data collection procedure using a flowchart ( Fig. 1 ) . Also, we provided the questionnaire and raw data as supplementary files (supplementary file-1 and file-2, respectively). We conducted a nationwide online survey to investigate the effects of the COVID-19 pandemic on mental health among Bangladeshi HCPs. We collected responses between July 15, 2020, and September 20, 2020, using Google Forms. Respondents got the questionnaire link via different social media and personal emailing. However, we conducted a pilot study for clarity and understanding of the procedure. Also, we communicated with the respondents through phone calls or video conferencing to solve any confusion regarding the questionnaire during data collection. We designed the Google Forms in a way that we can avoid multiple responses from a single respondent. Also, we tracked the IP addresses of the individual respondents to ensure data sanity. We divided the questionnaire into two major sections: (1) questionnaire about sociodemographic, (2) questionnaire about psychometric measures. We used a structured questionnaire to collect demographic information, and we applied four internationally validated psychometric scales to assess mental health. We used UCLA-8, PHQ-9, GAD-7, and PSQI to assess loneliness, depression, generalized anxiety disorder, and sleep problems, respectively [15] [16] [17] [18] . We used every scale entirely, and we did not change anything on those scales. We measured loneliness by eight questions on how frequently they felt the following statements in the last 30 days. Respondents rated each question from 1 to 4 based on the answer: 1 (never), 2 (rarely), 3 (sometimes), and 4 (always) (often). Then there were nine questions concerning how frequently the respondents had been concerned by any of the following difficulties in the previous 30 days to evaluate depression level. Participants rated all the questions related to depression from 0 to 3 based on the response: 0 (not at all), 1 (several days), 2 (more than half of the days), and 3 (nearly every day). Psychometric measures included seven questions indicating how frequently the respondents were affected by the following issues in the last 30 days to assess respondents' anxiety levels. The responses range from 0 to 3 scale based on the answer: 0 (not at all), 1 (several days), 2 (more than half of the days), and 3 (nearly every day). Finally, we assessed the sleep disturbance by asking nineteen questions. The responses of these nineteen questions were then grouped into seven areas to measure the overall sleep quality. We performed data analyzes using Microsoft excel 2016 and presented them as frequency and percentage. The author(s) did not receive any financial support for this work. We obtained approval of this study protocol from the ethical review committee of the department of psychiatry, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh (2020/3609). Also, we obtained informed consent from all participants for their participation in this study and publication of anonymous data in the journal article. The author(s) do not have any conflict of interest to declare. Effect of COVID-19 pandemic on mental health among Bangladeshi healthcare professionals: A cross-sectional study WHO Director-General's opening remarks at the media briefing on COVID-19-11 Bangladesh imposes total lockdown over COVID-19 Mental health of children amid COVID-19 pandemic in Bangladesh: an exploratory observation Increments of gender-based violence amid COVID-19 in Bangladesh: a threat to global public health and women's health Social stigma and suicide in Bangla7desh: the COVID-19 has worsened the situation, Chronic stress (2021) 5 (Thousand Oaks, Calif Sexual violence against woman at quarantine center during coronavirus disease 2019 in Bangladesh: risk factors and recommendations The second wave of COVID-19 pandemic in Bangladesh: an urgent call to save lives The use of cow dung and urine to cure COVID-19 in India: a public health concern The massive attack of COVID-19 in India is a big concern for Bangladesh: the key focus should be given on the interconnection between the countries Impact of COVID-19 pandemic on mental health among general Bangladeshi population: a cross-sectional study A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic What we know and don't know about Covid-19 Concerns of health care professionals managing non-COVID patients during the COVID-19 pandemic: a descriptive cross-sectional study The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research Patient health questionnaire-9 as an effective tool for screening of depression among Indian adolescents A short-form measure of loneliness A brief measure for assessing generalized anxiety disorder: the GAD-7 We are thankful to the respondents for their participation in this study. Supplementary material associated with this article can be found in the online version at doi: 10.1016/j.dib.2021.107506 .