| Literature DB >> 36201257 |
Lubaba Shahrin1,2, Irin Parvin2, Monira Sarmin1, Nayem Akhter Abbassi3, Mst Mahmuda Ackhter2, Tahmina Alam2, Gazi Md Salahuddin Mamun2, Aninda Rahman4, Shamsun Nahar Shaima2, Shamima Sharmin Shikha2, Didarul Haque Jeorge2, Mst Arifun Nahar2, Haimanti Saha1, Abu Sayem Mirza Md Hasibur Rahman2, Abu Sadat Mohammad Sayeem Bin Shahid2, A S G Faruque2, Tahmeed Ahmed2,5, Mohammod Jobayer Chisti1,2.
Abstract
BACKGROUND: As COVID-19 was declared a global pandemic, the major focus of healthcare organizations shifted towards preparing healthcare systems to handle the inevitable COVID-19 burden at different phases and levels. A series of in-person training programs were operated in collaboration with government and partner organizations for the healthcare workers (HCW) of Bangladesh. This study aimed to assess the knowledge of HCWs regarding SARS-CoV-2 infection, their case management, infection prevention and control to fight against the ongoing pandemic.Entities:
Mesh:
Year: 2022 PMID: 36201257 PMCID: PMC9531814 DOI: 10.1371/journal.pone.0273809
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Academic contexts of the participating doctors and nurses.
Demographic and occupational characteristics of the participants.
| Variables | Overall (N = 357) | Doctors (n = 149) (%) | Nurses (n = 208) (%) | |
|---|---|---|---|---|
| Age, mean±SD | - | 32.82±4.99 | 35.46±8.31 | 0.005 |
| Female sex | 256 | 64 (42.95) | 192 (92.31) | <0.001 |
| Training site, n (%) | 357 | |||
| Specialized hospital | 143 | 53 (35.57) | 90 (43.27) | 0.143 |
| District hospital | 214 | 96 (64.43) | 118 (56.73) | |
| Current working station, n (%) | 357 | |||
| Primary health care facility (sub-district facility) | 118 | 61 (40.94) | 57 (27.40) | 0.027 |
| Secondary health care facility (district facility) | 96 | 35 (23.49) | 61 (29.33) | |
| Years of experience, n (%) | 217 | |||
| <5 years | 91 (81.25) | 59 (56.19) | <0.001 | |
| 5–10 years | 16 (14.29) | 12 (11.43) | ||
| >10 years | 5 (4.46) | 34 (32.38) | ||
| COVID-19 infection, n (%) | 67 | 42 (37.84) | 25 (23.81) | 0.026 |
| COVID-19 exposure from the family, n (%) | 55 | 50 (45.05) | 5 (22.73) | 0.052 |
Current working station wise comparison of pre-test and post-test scores of the participants.
| Pre-test score (n = 357), Mean % | Post-test score (n = 357), Mean % |
| ||
|---|---|---|---|---|
|
| Overall | 63.39 | 71.58 | <0.001 |
| Doctors | 75.30 | 81.64 | <0.001 | |
| Nurses | 50.64 | 60.82 | <0.001 | |
|
| Overall | 56.18 | 65.21 | <0.001 |
| Doctors | 72.95 | 81.33 | <0.001 | |
| Nurses | 46.56 | 55.96 | <0.001 | |
|
| Overall | 53.61 | 61.17 | <0.001 |
| Doctors | 68.05 | 80.38 | <0.001 | |
| Nurses | 45.11 | 49.85 | <0.001 | |
Comparison of pre-test and post-test scores of all the participants on the basis of four domains of different questions.
| Domain Name | Pre-test score (n = 357), Mean % | Post-test score (n = 357), Mean % |
|
|---|---|---|---|
|
| 72.36 | 82.17 | <0.001 |
|
| 52.24 | 62.04 | <0.001 |
|
| 56.44 | 67.65 | <0.001 |
|
| 53.61 | 59.98 | <0.001 |
Comparative characteristics of the participants between different results level of pre-test and post-test.
| Results | Pre-test (n = 357) | Post-test (n = 357) | ||
|---|---|---|---|---|
| Frequency (%) | Frequency (%) | |||
|
|
| 41(11.48) | 27(7.56) | |
|
| 210(58.82) | 173(48.46) |
| |
|
| 106(29.69) | 157(43.98) |
| |
|
|
| 11(7.80) | 7(4.96) | |
|
| 70(49.65) | 58(41.13) | ||
|
| 60(42.55) | 76(53.90) | ||
|
|
| 16(21.62) | 9(12.16) | |
|
| 43(58.11) | 36(48.65) | ||
|
| 15(20.27) | 29(39.19) |
| |
|
|
| 3(2.97) | 3(2.97) | |
|
| 43(42.57) | 22(21.78) |
| |
|
| 55(54.46) | 76(75.25) |
| |
|
|
| 38(14.84) | 24(9.38) | |
|
| 167(65.23) | 151(58.98) | ||
|
| 51(19.92) | 81(31.64) |
| |
|
|
| 22 (15.38) | 15(10.49) | |
|
| 91(63.64) | 81(56.64) | ||
|
| 30(20.98) | 47(32.87) |
| |
|
|
| 19(8.88) | 12(5.61) | |
|
| 119(55.61) | 92(42.99) |
| |
|
| 76(35.51) | 110(51.40) |
| |
|
|
| 5(7.46) | 4(5.97) | |
|
| 33(49.25) | 25(37.31) | ||
|
| 29(43.28) | 38(56.72) | ||
|
|
| 22(14.77) | 13(8.72) | |
|
| 81(54.36) | 69(46.31) | ||
|
| 46(30.87) | 67(44.97) |
| |
|
|
| 1(1.82) | 2(3.64) | |
|
| 21(38.18) | 6(10.91) |
| |
|
| 33(60.00) | 47(85.45) |
| |
|
|
| 4(5.13) | 1(1.28) | |
|
| 37(47.44) | 23(29.49) |
| |
|
| 37(47.44) | 54(69.23) |
|
Fig 2Pretest-posttest score level of doctors and nurses.
Associated factors of the participants with pretest and posttest scores.
| Indicators | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | ||
|---|---|---|---|---|
|
| ||||
| ≥35 | Reference | Reference | ||
| <35 | 2.20 (1.44, 3.36) | <0.001 | 1.16 (0.52, 2.59) | 0.711 |
|
| ||||
| Female | Reference | Reference | ||
| Male | 5.31 (3.74, 7.54) | <0.001 | 1.38 (0.70, 2.72) | 0.348 |
|
| ||||
| Nurses | Reference | Reference | ||
| Doctors | 22.47 (15.03, 33.57) | <0.001 | 16.27 (5.68, 46.56) | <0.001 |
|
| ||||
| Tertiary Healthcare Center | Reference | Reference | ||
| Secondary Healthcare Center | 1.49 (1.00, 2.21) | 0.048 | 2.88 (1.07, 7.72) | 0.036 |
| Primary Healthcare Center | 2.71 (1.88, 3.91) | <0.001 | 4.22 (1.80, 9.88) | 0.001 |
|
| ||||
| >10 years | Reference | Reference | ||
| 5–10 years | 10.14 (3.98, 25.88) | <0.001 | 4.72 (1.15, 19.39) | 0.032 |
| <5 years | 9.87 (4.40, 22.17) | <0.001 | 4.10 (1.01, 16.63) | 0.049 |
|
| ||||
| No | Reference | Reference | ||
| Yes | 1.64 (1.08, 2.47) | 0.019 | 1.07 (0.56, 2.07) | 0.831 |
|
| ||||
| No | Reference | Reference | ||
| Yes | 1.90 (1.12, 3.23) | 0.016 | 2.06 (1.03, 4.10) | 0.041 |
After adjusting for relevant covariates, there was no significant association between scores and the participants by age, sex, and who infected by COVID-19.