| Literature DB >> 33124547 |
Amal Akour1,2, Ala'a B Al-Tammemi3,4, Muna Barakat5, Rama Kanj6, Hussam N Fakhouri7, Ahmad Malkawi8, Ghadeer Musleh9.
Abstract
The COVID-19 pandemic has struck many countries globally. Jordan has implemented strict nationwide control measures to halt the viral spread, one of which was the closure of universities and shifting to remote teaching. The impact of this pandemic could extend beyond the risk of physical harm to substantial psychological consequences. Our study aimed at assessing 1) psychological status, 2) challenges of distance teaching, and 3) coping activities and pandemic-related concerns among university teachers in Jordan in the midst of COVID-19-related quarantine and control measures. We conducted a cross-sectional study using an anonymous online survey. The measure of psychological distress was obtained using a validated Arabic version of the Kessler Distress Scale (K10). Other information collected included sociodemographic profile, methods used to handle distress, motivation to participate in distance teaching, and challenges of distance teaching as well as the most worrisome issues during this pandemic. Three hundred eighty-two university teachers returned completed surveys. Results of K10 showed that 31.4% of respondents had severe distress and 38.2% had mild to moderate distress. Whereas gender was not associated with distress severity, age had a weak negative correlation (Rho = -0.19, P < 0.0001). Interestingly, most teachers had moderate to high motivation for distance teaching. Engagement with family was the most reported self-coping activity. More than half of the participants were most concerned and fearful about SARS-CoV-2 infection. In conclusion, university teachers have shown to exhibit various levels of psychological distress and challenges during the implementation of precautionary national measures in the battle against COVID-19 in Jordan.Entities:
Mesh:
Year: 2020 PMID: 33124547 PMCID: PMC7695050 DOI: 10.4269/ajtmh.20-0877
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 3.707
Sociodemographic profile of participants
| Number of respondents | 382 |
|---|---|
| Gender, | |
| Male | 212 (55.5) |
| Female | 170 (44.5) |
| Age-group (mean, SD, range) (years), | 43.9, 9.9, 25–75 |
| 25–34 | 63 (16.5) |
| 35–44 | 153 (40.0) |
| 45–54 | 105 (27.5) |
| 55–64 | 50 (13.1) |
| ≥ 65 | 11 (2.9) |
| Nationality, | |
| Jordanian | 354 (92.7) |
| Non-Jordanian | 28 (7.3) |
| Marital status, | |
| Single | 74 (19.4) |
| Married | 292 (76.4) |
| Divorced/separated/widowed | 16 (4.2) |
| Smoking status, | |
| Smoker | 116 (30.4) |
| Currently nonsmoker | 266 (69.6) |
| Region of residence, | |
| Northern governorates | 76 (19.9) |
| Central governorates | 262 (68.6) |
| Southern governorates | 44 (11.5) |
| Academic institution, | |
| Public university/college | 265 (69.4) |
| Private university/college | 117 (30.6) |
| Academic rank, | |
| Lecturer | 70 (18.3) |
| Assistant professor | 150 (39.3) |
| Associate professor | 86 (22.5) |
| Full professor | 76 (19.9) |
| Duration of teaching experience (mean, SD, range) | 12.2, 9.5, 1–53 |
| Scientific discipline, | |
| Medical/health | 156 (40.8) |
| Humanities | 113 (29.6) |
| Sciences | 113 (29.6) |
| Region of the academic institution, | |
| Northern Jordan | 82 (21.5) |
| Central Jordan | 240 (62.8) |
| Southern Jordan | 60 (15.7) |
| History of preexisting psychologic/psychiatric condition, | |
| Yes | 14 (3.7) |
| No | 368 (96.3) |
| Current psychiatric medication usage among participants ( | |
| Yes | |
| No |
Figure 1.Overall (total) Kessler Distress Scale (K10) scores among different age-groups of participants. This figure appears in color at
Results of multiple logistic regression for the association between psychological distress severity (recoded as binary outcome) and multiple predictor variables
| Predictor | Crude OR (95% CI) | Adjusted OR (95% CI) | ||
|---|---|---|---|---|
| Age-group (years) | ||||
| 25–34 | Reference | |||
| 35–44 | 0.58 (0.32–1.06) | 0.079 | 0.55 (0.27–1.11) | 0.096 |
| 45–54 | 0.50 (0.27–0.95) | 0.036 | 0.38 (0.16–0.86) | 0.020 |
| 55.64 | 0.32 (0.15–0.70) | 0.004 | 0.18 (0.06–0.53) | 0.002 |
| 65–75 | 0.22 (0.052–0.89) | 0.035 | 0.10 (0.02–0.60) | 0.012 |
| Gender | ||||
| Female | Reference | |||
| Male | 0.85 (0.57–1.28) | 0.436 | 0.94 (0.59–1.50) | 0.809 |
| Marital status | ||||
| Divorced | Reference | |||
| Married | 0.76 (0.25–2.30) | 0.625 | 1.22 (0.37–4.04) | 0.743 |
| Single | 1.06 (0.33–3.48) | 0.917 | 1.08 (0.31–3.81) | 0.900 |
| Widowed | 1.71 (0.12–23.94) | 0.689 | 3.43 (0.21–56.33) | 0.387 |
| Psychiatric illness | ||||
| No | Reference | |||
| Yes | 2.70 (0.83–8.76) | 0.099 | 2.50 (0.74–8.43) | 0.142 |
| Duration of experience (years) | ||||
| 1–15 | Reference | |||
| 16–35 | 1.05 (0.64–1.73) | 0.854 | 1.82 (0.92–3.63) | 0.088 |
| 36–53 | 0.61 (0.26–1.45) | 0.264 | 1.65 (0.50–5.45) | 0.415 |
| Academic rank | ||||
| Assistant professor | Reference | |||
| Associate professor | 1.12 (0.66–1.91) | 0.674 | 1.42 (0.78–2.56) | 0.248 |
| Full professor | 0.95 (0.55–1.66) | 0.857 | 1.37 (0.65–2.86) | 0.409 |
| Lecturer (MSc) | 1.76 (0.99–3.13) | 0.054 | 1.38 (0.73–2.63) | 0.326 |
| Scientific discipline | ||||
| Humanities | Reference | |||
| Medical | 1.02 (0.63–1.65) | 0.943 | 0.88 (0.52–1.49) | 0.633 |
| Sciences | 0.90 (0.53–1.52) | 0.690 | 0.83 (0.47–1.46) | 0.512 |
| Motivation for distance teaching | ||||
| High | Reference | |||
| Low | 2.42 (1.32–4.42) | 0.004 | 2.42 (1.28–4.55) | 0.006 |
| Moderate | 1.36 (0.83–2.24) | 0.217 | 1.31 (0.78–2.19) | 0.300 |
| No motivation | 2.06 (0.86–4.93) | 0.104 | 2.25 (088–5.78) | 0.092 |
Statistically significant P-value (P < 0.05).
Psychological distress severity levels among the participants (N = 382) stratified by gender
| Distress severity | Male ( | Female ( | Total (%) |
|---|---|---|---|
| No | 66 | 50 | 116 (30.4) |
| Mild | 46 | 33 | 79 (20.7) |
| Moderate | 37 | 30 | 67 (17.5) |
| Severe | 63 | 57 | 120 (31.4) |
| Total | 212 | 170 | 382 (100) |
Motivation for remote/distance teaching among the participants categorized by the psychological distress severity
| Motivation | Distress severity | Total (%) | |||
|---|---|---|---|---|---|
| No | Low | Moderate | Severe | ||
| No | 6 | 5 | 4 | 11 | 26 (6.8) |
| Low | 17 | 13 | 15 | 33 | 78 (20.4) |
| Moderate | 55 | 37 | 38 | 45 | 175 (45.8) |
| Strong/high | 38 | 24 | 10 | 31 | 103 (27.0) |
| Total | 116 | 79 | 67 | 120 | 382 (100) |
Common challenges of remote/distance teaching as perceived by the participants
| Item | Frequency (n) | Percentage |
|---|---|---|
| Online examinations increase the probability of cheating among students which is unfair | 317 | 83.0 |
| The need for more time and effort to design examinations and fair assessment tools | 229 | 59.9 |
| Intrusion of privacy | 226 | 59.2 |
| Reduced interaction with students | 221 | 57.9 |
| Ineffective communication with large numbers of students or colleagues | 188 | 49.2 |
| Anxiety about the quality of Internet service and video calls | 169 | 44.2 |
| Lack of technological competency and training to use e-learning platforms | 46 | 12.0 |
Online platforms/software programs that were commonly used in remote/distance teaching and academic communication by the teachers
| Program | Frequency ( | Percentage |
|---|---|---|
| Moodle | 213 | 55.8 |
| Zoom | 198 | 51.8 |
| Microsoft Teams | 191 | 50.0 |
| Facebook/Facebook Messenger | 164 | 42.9 |
| WhatsApp Messenger | 144 | 37.7 |
| YouTube | 53 | 13.9 |
| Google Classrooms | 34 | 8.9 |
| Skype | 16 | 4.2 |
| Blackboard | 12 | 3.1 |
| Webex | 6 | 1.6 |
| Canvas | 2 | 0.5 |
| D2L (desire to learn) | 1 | 0.3 |
Self-adaptive activities of participants during the pandemic and its confinement measures
| Activity | Frequency ( | Percentage |
|---|---|---|
| More engagement with family | 240 | 62.8 |
| Using social media platforms | 216 | 56.5 |
| Talking to friends | 190 | 49.7 |
| Watching television | 172 | 45.0 |
| Prayers | 167 | 43.7 |
| Home-based academic research activities | 133 | 34.8 |
| Practicing sports at home | 124 | 32.5 |
| Reading books/novels | 88 | 23.0 |
| Listening to music | 78 | 20.4 |
| Herbal drinks | 67 | 17.5 |
| Increase smoking | 49 | 12.8 |
| Meditation | 35 | 9.2 |
| Practicing yoga | 9 | 2.4 |
| Talking to a psychological counsellor | 1 | 0.3 |
Figure 2.Types of medications used to support self-coping strategies among respondents (n = 38) due to COVID-19–induced distress.
COVID-19–related concerns as perceived by the university teachers
| Concern | Frequency ( | Percentage |
|---|---|---|
| Infection by SARS-CoV-2 | 215 | 56.3 |
| Curfew and social isolation | 211 | 55.2 |
| The economic impacts of COVID-19 pandemic | 208 | 54.5 |
| Inability to resume research activities | 166 | 43.5 |
| Distance teaching | 130 | 34.0 |
| Others (such as cancelled conferences and travel plans) | 16 | 4.2 |