| Literature DB >> 33977169 |
Mila Nu Nu Htay1, Roy Rillera Marzo2,3, Rafidah Bahari4, Ayesha AlRifai5, Fatjona Kamberi6, Radwa Abdullah El-Abasiri7, Jeldah Mokeira Nyamache8,9,10,11,12,13, Htet Aung Hlaing14, Mayada Hassanein15, Soe Moe1, Adinegara Lutfi Abas1, Tin Tin Su16.
Abstract
BACKGROUND: The coronavirus pandemic (COVID-19) has a social and psychological impact among healthcare workers worldwide and appropriate coping strategies are essential to avoid the negative mental health effects. This study aimed to investigate the coping strategies among the healthcare workers from different countries and their attitude towards teamwork during the COVID-19 pandemic.Entities:
Keywords: Adaptation; COVID-19; Coronavirus; Interprofessional relations; Mental health; Psychological
Year: 2021 PMID: 33977169 PMCID: PMC8103713 DOI: 10.1016/j.cegh.2021.100759
Source DB: PubMed Journal: Clin Epidemiol Glob Health ISSN: 2213-3984
Fig. 1Triggering and relieving factors for psychological impact among healthcare workers during COVID-19 pandemic.
Fig. 2Data collection and participants flow chart of the study.
Geographic distribution of the participants according to the World Bank country classification on income (n = 2166).
| World bank country classification by income | List of countries and territories of participants (n = 32) | n (%) |
|---|---|---|
| Low-income countries | Ethiopia, Mozambique, Nepal, Rwanda, Syria, Tanzania, Uganda | 30 (1.39) |
| Lower-middle-income countries | Bangladesh, Egypt, India, Kenya, Lesotho, Myanmar, Nigeria, Pakistan, Palestine, Philippines, Zimbabwe, | 1674 (77.29) |
| Upper-middle-income countries | Albania, Iraq, Lebanon, South Africa, Suriname, Thailand | 445 (20.54) |
| High-income countries | Cyprus, Germany, Greece, Italy, Japan, Republic of Korea, Sweden, United Kingdom | 17 (0.78) |
Fig. 3Geographic distribution of the respondents from 32 countries (n = 2166).
Socio-demographic characteristics and occupation of participants (n = 2166).
| Characteristics of respondents | n(%) |
|---|---|
| Male | 710 (32.8) |
| Female | 1454 (67.2) |
| <30 years | 1003 (46.7) |
| 31–45 years | 900 (41.9) |
| 46 years and above | 244 (11.4) |
| Buddhism | 67 (3.1) |
| Christian | 711 (32.9) |
| Islam | 1317 (60.9) |
| Others | 36 (1.7) |
| No religion | 30 (1.4) |
| Married | 1250 (57.8) |
| Single | 912 (42.2) |
| Doctor | 779 (36.0) |
| Nurse | 520 (24.0) |
| Others | 867 (40.0) |
| <2 years | 384 (18.3) |
| 2–5 years | 515 (24.5) |
| 6–10years | 380 (18.1) |
| >10years | 822 (39.1) |
| Alone | 140 (6.5) |
| Family | 1887 (87.4) |
| Friends/colleagues | 133 (6.2) |
| Clinics | 373 (17.8) |
| Hospital | 1004 (47.9) |
| Laboratory | 61 (2.9) |
| Pharmacy | 80 (3.8) |
| Others | 576 (27.5) |
Others included Hinduism and Shinto.
Others included pharmacists, laboratory technicians, public health specialists, medical educators, and healthcare administrators.
Others included healthcare institutions, Ministry of Health, Non-Governmental Organizations.
Coping strategies for mental health burden among healthcare workers (n = 2166).
| Coping strategies | Occupation | ||||
|---|---|---|---|---|---|
| Doctor (n = 770) n(%) | Nurse (n = 479) n(%) | Others | Total (n = 2097) n(%) | p value | |
| Getting family support | 580 (74.5) | 359 (69.0) | 629 (72.5) | 1568 (72.4) | 0.101 |
| Positive thinking | 620 (79.6) | 362 (69.6) | 552 (63.7) | 1534 (70.8) | <0.001 |
| Religious/Prayers | 600 (77.0) | 245 (47.1) | 421 (48.6) | 1266 (58.4) | <0.001 |
| Adequate sleep and food intake | 385 (49.4) | 175 (33.7) | 485 (55.9) | 1045 (48.2) | <0.001 |
| Exercise | 278 (35.7) | 181 (34.8) | 240 (27.7) | 699 (32.3) | 0.001 |
| Watching television | 101 (13.0) | 115 (22.1) | 380 (43.8) | 596 (27.5) | <0.001 |
| Getting peer support | 310 (39.8) | 170 (32.7) | 104 (12.0) | 584 (27.0) | <0.001 |
| Learning new things | 55 (7.1) | 58 (11.2) | 270 (31.1) | 383 (17.7) | <0.001 |
| Satisfaction with job achievement (weekly plan) | 50 (6.4) | 89 (17.1) | 119 (13.7) | 258 (11.9) | <0.001 |
| Learn the situation | 92 (11.8) | 41 (8.1) | 124 (14.3) | 258 (11.9) | 0.002 |
| Reading | 46 (5.9) | 83 (16.0) | 113 (13.0) | 242 (11.2) | <0.001 |
| Mindfulness/Meditation | 146 (18.7) | 30 (5.8) | 60 (6.9) | 236 (10.9) | <0.001 |
| Planning for global responses and new ideas | 23 (3.0) | 34 (6.5) | 39 (4.5) | 96 (4.4) | 0.009 |
| Use app SAM | 20 (2.6) | 12 (2.3) | 18 (2.1) | 50 (2.3) | 0.803 |
| Others | 23 (3.0) | 112 (21.5) | 62 (7.2) | 197 (9.1) | <0.001 |
Note-those who reported ‘Yes’ to each coping strategy. Multiple answer allowed.
Others included pharmacists, laboratory technicians, public health specialists, medical educators, and healthcare administrators.
Pearson's Chi-square.
Other coping strategies including playing games, farming, gardening, participation in voluntary activities, concentrating on work (working all the time), playing sports at home, staying away from fake news, E-learning, learning for career, cooking, writing stories.
Association between the characteristics of respondents and attitudes towards interprofessional teamwork during pandemic (n = 2166).
| Mean (SD) | B | 95% C.I. | p value | ||
|---|---|---|---|---|---|
| Lower | Upper | ||||
| 16.458 | 15.216 | 17.701 | <0.001 | ||
| Male | 17.255 (3.746) | Reference | |||
| Female | 16.209 (4.426) | −0.504 | −0.883 | −0.124 | 0.009 |
| <30 years | 15.545 (4.265) | Reference | |||
| 31–45 years | 17.619 (4.047) | 1.249 | 0.611 | 1.888 | <0.001 |
| 46 years and above | 16.762 (3.808) | 0.460 | −0.380 | 1.300 | 0.283 |
| Buddhism | 17.209 (3.373) | Reference | |||
| Christian | 17.918 (4.262) | 0.452 | −0.543 | 1.447 | 0.373 |
| Islam | 15.739 (4.086) | −0.626 | −1.610 | 0.358 | 0.212 |
| Others | 18.314 (3.243) | 1.473 | −0.213 | 3.158 | 0.087 |
| No religion | 16.071 (4.045) | −0.509 | −2.270 | 1.252 | 0.571 |
| Married | 16.153 (4.606) | Reference | |||
| Single | 17.117 (3.608) | 1.172 | 0.776 | 1.568 | <0.001 |
| Doctors | 17.633 (4.257) | Reference | |||
| Nurses | 17.103 (3.443) | 0.210 | −0.271 | 0.692 | 0.392 |
| Others | 15.256 (4.304) | −1.130 | −1.1661 | −0.600 | <0.001 |
| >10years | 17.442 (4.301) | Reference | |||
| <2 years | 16.715 (3.530) | 0.652 | −0.157 | 1.462 | 0.114 |
| 2–5 years | 14.478 (4.580) | −1.074 | −1.828 | −0.320 | 0.005 |
| 6–10years | 17.228 (3.346) | 0.443 | −0.137 | 1.024 | 0.134 |
| Hospital | 17.233 (4.071) | Reference | |||
| Clinics | 17.312 (3.759) | 0.803 | 0.294 | 1.312 | 0.002 |
| Laboratory | 16.967 (3.317) | 0.541 | −0.534 | 1.615 | 0.324 |
| Pharmacy | 16.595 (3.002) | 0.885 | −0.086 | 1.855 | 0.074 |
| Others | 14.612 (4.619) | −0.885 | −1.423 | −0.346 | 0.001 |
| No | 16.110 (4.276) | Reference | |||
| Yes | 17.316 (4.076) | −0.011 | −0.422 | 0.400 | 0.957 |
Note_ coping strategies- “Yes” response is reference.
Others included Hinduism and Shinto.
Others included pharmacists, laboratory technicians, public health specialists, medical educators, and healthcare administrators.
Others included healthcare institutions, Ministry of Health, Non-Governmental Organizations.