| Literature DB >> 34511944 |
Morshed Nasir1, Md Anisuz Zaman2, Touhidul Karim Majumder3, Faruque Ahmed3, Rumana Nazneen4, Eliza Omar5, Rawshan Ara Perveen1, Nadia Farha1, Tahmina Zahan1, Mir Jakib Hossain3, Sultana Parvin3, Moshfiqur Rahman Chowdhury3, Hasina Begum6.
Abstract
BACKGROUND: Healthcare professionals (HCPs) are one of the vital and persuading means of information, prevention and control, and incentive of vaccination to content a pandemic. Therefore, knowing the status of HCPs' perception about symptoms, transmission, preventive measures, and attitudes towards a vaccine against COVID-19 is crucial.Entities:
Keywords: Bangladesh; COVID-19; attitude; healthcare professionals; perception; practice; prevention; transmission
Year: 2021 PMID: 34511944 PMCID: PMC8418364 DOI: 10.2147/IDR.S326531
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Demographic Characteristics of the Study Subjects According to Age and Category
| Age | Centers | Total (n= 524) | Doctor (n= 240) | Nurse (n=146) | MLSS (n= 138) |
|---|---|---|---|---|---|
| 0–19 | HF (n=316) | – | – | – | – |
| SR (n=208) | 09 (4.33%) | – | – | 09/ 208 (4.33%) | |
| Total | 09 (1.72%) | – | – | 09/524 (1.72%) | |
| 20–39 | HF (n=316) | 150 (47.47%) | 117/187 (62.57%) | 12/72 (16.67%) | 21/57 (36.84%) |
| SR (n=208) | 170 (81.73%) | 31/53 (58.49%) | 71/74 (95.94%) | 68/81 (83.95%) | |
| Total | 320 (61.07%) | 148/240 (61.66%) | 83/146 (56.85%) | 89/138 (64.49%) | |
| 40–59 | HF (n=316) | 159 (50.31%) | 64/187 (34.2%) | 59/72 (81.94%) | 36/57 (63.16%) |
| SR (n=208) | 29 (13.94%) | 22/53 (41.51%) | 03/74 (4.05%) | 04/81 (4.94%) | |
| Total | 188 (35.88%) | 86/240 (35.83%) | 62/146 (42.46%) | 40/138 (28.98%) | |
| > 60 | HF (n=316) | 07 (2.21%) | 06/187 (3.21%) | 01/72 (1.39%) | – |
| SR (n=208) | – | – | – | – | |
| Total | 07 (1.33%) | 06/240 (2.5%) | 01/146 (0.68%) | – | |
| Male: Female | HF (n=316) | 118: 198 (1:1.67) | 75: 112 (1:1.49) | 03:69 (1:23) | 40:17 (1:0.42) |
| SR (n=208) | 86: 122 (1:1.41) | 36: 17 (1:0.47) | 03:71 (1:23.66) | 47: 34 (1:0.72) | |
| Total | 204: 320 (1:1.33) | 111: 129 (1:1.61) | 06: 140 (1:23.3) | 87: 51 (1: 0.58) |
Frequency Distribution of Correct Responses of HCPs on Perception Towards COVID-19
| Questions on Perception | Doctors (n=240) | Nurses (n=146) | MLSS (n=138) | Total (524) | ||
|---|---|---|---|---|---|---|
| Symptoms | Cough | 232 (96.67%) | 144 (98.63%) | 136 (98.55%) | 512 (97.71%) | |
| Fever | 238 (99.16%) | 146 (100%) | 134 (97.10%) | 518 (98.85%) | ||
| Sore throat | 234 (97.50%) | 140 (95.89%) | 133 (96.38%) | 507 (96.75%) | ||
| Diarrhea | 201 (83.75%) | 134 (91.78%) | 129 (93.48%) | 464 (88.55%) | ||
| Myalgia | 208 (86.66%) | 138 (94.52%) | 125 (90.58%) | 471 (89.88%) | ||
| Transmission | COVID-19 has no specific remedy, symptomatic treatment can cure most of the cases | 235 (97.92%) | 139 (95.21%) | 136 (98.55%) | 510 (97.33%) | |
| All patients do not get critical, only the elderly suffering from co-morbidities may become serious | 203 (84.58%) | 117 (80.14%) | 132 (95.65%) | 452 (86.26%) | ||
| Contact or ingestion of wild animals may cause transmission of COVID-19 | 121 (50.42%) | 71 (48.63%) | 42 (30.43%) | 234 (44.66%) | ||
| COVID-19 patients cannot spread the virus if no fever is present | 221 (92.08%) | 117 (80.14%) | 80 (57.97%) | 418 (79.77%) | ||
| The virus can be spread through droplets and sneezing of the infected person | 230 (95.83%) | 137 (93.83%) | 128 (92.75%) | 495 (94.46%) | ||
| Prevention | Children and young adults do not require any preventive measure | 228 (95%) | 130 (89.04%) | 97 (70.29%) | 455 (86.83%) | |
| Everyone needs to avoid the crowd (bus-station, public transport, market) to prevent COVID-19 | 233 (97.08%) | 146 (100%) | 116 (84.06%) | 495 (94.46%) | ||
| Quarantining the infected persons will reduce the spread of the COVID-19 | 238 (99.17%) | 141 (96.57%) | 126 (91.30%) | 505 (96.37%) | ||
| Person who comes in contact with COVID-19 patient have to remain quarantine for 14 days | 235 (97.92%) | 145 (99.31%) | 135 (97.83%) | 515 (98.28%) | ||
| General medical mask can protect from COVID-19 | 165 (68.75%) | 99 (67.81) | 107 (77.54%) | 371 (70.80%) | ||
Note: X2 means the value of Chi Square test.
Abbreviation: NS, not significant.
Frequency Distribution of Correct Responses of HCPs on Practice
| Questions on practice | Doctors (n=240) | Nurses (n=146) | MLSS (n=138) | Total (524) | ||
|---|---|---|---|---|---|---|
| Practice | Have never been in crowded public gathering currently | 20 (08.33%) | 10 (6.84%) | 16 (11.59%) | 46 (08.78%) | |
| Have used mask whenever attended any patients currently | 224 (93.33%) | 142 (97.26%) | 131 (94.92%) | 497 (94.85%) | ||
| Have restrained from shaking hands Currently | 192 (80%) | 113 (77.39%) | 91 (65.94%) | 396 (75.57%) | ||
| Have cleaned hands before and after attending every patients currently | 141 (58.75%) | 141 (96.57%) | 113 (81.88%) | 395 (75.38%) | ||
| Have used mask whenever went out of the home | 222 (92.50%) | 141 (96.57%) | 128 (92.75%) | 491 (93.70%) | ||
Note: X2 means the value of Chi Square test.
Abbreviation: NS, not significant.
Frequency Distribution of Responses of HCPs on Attitude Towards Vaccination
| Questions on Attitude | Doctors (n=240) | Nurses (n=146) | MLSS (n=138) | Total (524) | ||
|---|---|---|---|---|---|---|
| Vaccination | In favor of vaccine against COVID-19, because it is effective and safe | 203 (84.58%) | 124 (84.93%) | 131 (94.92%) | 458 (87.40%) | |
| Vaccine against COVID-19 is available free of cost | 231 (96.25%) | 142 (97.26%) | 130 (94.20%) | 503 (95.99%) | ||
| Children do not require to get COVID-19 vaccination | 79 (32.92%) | 57 (39.04%) | 68 (49.27%) | 198 (37.78%) | ||
| Do not rely on COVID-19 vaccine due to emergency development during pandemic | 186 (77.50%) | 104 (78.23%) | 78 (56.52%) | 368 (70.23%) | ||
| Vaccination is not required because immunity will be acquired naturally by infection | 193 (80.42%) | 96 (65.75%) | 72 (52.17%) | 361 (68.89%) | ||
Note: X2 means the value of Chi Square test.
Mean Scores of Knowledge, Practice and Attitude Among the HCPs
| Mean Scores | Doctors | Nurses | MLSS | Difference Between Groups | |
|---|---|---|---|---|---|
| F | |||||
| Score of perception (15) | 12.50 ±2.05 | 12.34 ±1.62 | 11.17 ±2.10 | 21.61 | < 0.001 |
| Score of practice (5) | 3.43 ±1.57 | 3.40 ±1.43 | 3.16 ±1.35 | 1.55 | 0.213 |
| Attitude towards vaccination (5) | 3.03 ±1.85 | 3.04 ±1.51 | 2.88 ±1.65 | 0.44 | 0.643 |
| Overall total score | 18.95 ±3.69 | 18.78 ±2.84 | 17.20 ±3.59 | 12.23 | < 0.001 |
Note: Post hoc test using one-way ANOVA.
Comparison of Score Between the Categories of HCPs
| Occupation Group (I) | Occupation Group (J) | Mean (I-J) Difference | Std. Error | 95% CI | |||
|---|---|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||||
| Score of perception | Doctor | Nurse | 0.160 | 0.206 | 0.436 | −0.24 | 0.56 |
| MLSS | 1.329 | 0.209 | <0.001* | 0.92 | 1.74 | ||
| Nurse | Doctor | −0.160 | 0.206 | 0.436 | −0.56 | 0.24 | |
| MLSS | 1.169 | 0.233 | <0.001* | 0.71 | 1.63 | ||
| MLSS | Doctor | −1.329 | 0.209 | <0.001* | −1.74 | −0.92 | |
| Nurse | −1.169 | 0.233 | <0.001* | −1.63 | −0.71 | ||
| Score of practice | Doctor | Nurse | −0.008 | 0.180 | 0.966 | −0.36 | 0.35 |
| MLSS | 0.157 | 0.183 | 0.392 | −0.20 | 0.52 | ||
| Nurse | Doctor | 0.008 | 0.180 | 0.966 | −0.35 | 0.36 | |
| MLSS | 0.164 | 0.203 | 0.419 | −0.23 | 0.56 | ||
| MLSS | Doctor | −0.157 | 0.183 | 0.392 | −0.52 | 0.20 | |
| Nurse | −0.164 | 0.203 | 0.419 | −0.56 | 0.23 | ||
| Score of attitude towards vaccination | Doctor | Nurse | 0.021 | 0.155 | 0.893 | −0.28 | 0.33 |
| MLSS | 0.266 | 0.158 | 0.093 | −0.04 | 0.58 | ||
| Nurse | Doctor | −0.021 | 0.155 | 0.893 | −0.33 | 0.28 | |
| MLSS | 0.245 | 0.176 | 0.164 | −0.10 | 0.59 | ||
| MLSS | Doctor | −0.266 | 0.158 | 0.093 | −0.58 | 0.04 | |
| Nurse | −0.245 | 0.176 | 0.164 | −0.59 | 0.10 | ||
Notes: *The mean difference is significant at the 0.05 level. Post hoc test using one-way ANOVA.