| Literature DB >> 34900923 |
Shivkumar Gopalakrishnan1, Sangeetha Kandasamy2, Bobby Abraham1, Monika Senthilkumar1, Omar A Almohammed3,4.
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has caused phenomenal loss of lives and overburdened the health system in India. Low morale, fatigue, and inadequate knowledge among the healthcare workers (HCWs) are the perceived threats to pandemic control. We aimed to assess the COVID-19 related level of knowledge, attitude, and practices (KAP) among our HCWs. A cross-sectional, electronically distributed, questionnaire-based study was conducted which identified the demographics of HCWs and the current KAP related to coronavirus disease 2019 (COVID-19). The descriptive statistics were used to present the demographics of the participants and chi-square test was used to assess the differences in KAP among the participants. Of 1,429 total participants, 71.9% belonged to age group 21-40 years. Only 40.2% received any infection control training and 62.7% relied upon single source of information update. However, 82.9% of the participants had adequate knowledge. Being married, urban dwelling, and higher qualification were associated with knowledge adequacy (p < 0.001). Interestingly, the senior HCWs (age 41-50 years) were least likely to have adequate knowledge (74.1%). About 84% had positive attitude toward COVID-19, but 83.8% of the participants feared providing care to the patients with COVID-19. However, 93% of HCWs practiced safety precautions correctly most of the times and training had no influence on practice. In conclusion, more than 80% of HCWs in the study had adequate knowledge, positive attitude, and practiced safely most of the time. However, the pitfalls, such as poor training, knowledge uncertainties, and fear of disease acquisition among the HCWs need to be addressed.Entities:
Keywords: COVID-19; India; attitude; healthcare workers; knowledge; practice
Mesh:
Year: 2021 PMID: 34900923 PMCID: PMC8661693 DOI: 10.3389/fpubh.2021.787845
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
The participants demographical characteristics.
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| 21–30 years | 576 (40.3) |
| 31–40 years | 451 (31.6) |
| 41–50 years | 270 (18.9) |
| 51–60 years | 102 (7.1) |
| 61–70 years | 30 (2.1) |
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| Male | 550 (38.5) |
| Female | 879 (61.5) |
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| Urban | 778 (54.4) |
| Rural | 651 (45.6) |
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| Married | 461 (32.3) |
| Single | 968 (67.7) |
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| High school or less | 266 (18.6) |
| Bachelor or associate degree | 337 (23.6) |
| Master degree | 372 (26.0) |
| Professional or doctoral degree | 454 (31.8) |
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| No | 277 (19.4) |
| Yes | 1,152 (80.6) |
| Medical | 586 (50.9) |
| Surgical | 148 (12.8) |
| Nursing | 203 (17.6) |
| Laboratory services | 138 (12.0) |
| Other para-clinical services | 49 (4.3) |
| Pharmacy | 28 (2.4) |
Data presented as frequency (%).
Frequency and percentage of the participants with correct responses to the knowledge items on the questionnaire.
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| K1. COVID-19 is a contagious disease that is caused by? | 1,425 (99.7) |
| K2. The most common manifestation for the COVID-19 is? | 1,400 (97.9) |
| K3. The disease can easily spread through? | 1,419 (99.3) |
| K4. What is the longest incubation period for COVID-19 before experiencing any symptoms? | 1,319 (92.3) |
| K5. Severe cases and death are more common among? | 1,198 (83.8) |
| K6. Multiple proven curative treatment options are available now for COVID-19 all over the world? | 858 (60.0) |
| K7. Most COVID-19 cases are mild and can recover with no treatment? | 1,201 (84.0) |
| K8. We know that the pandemic will be over by summer, as the causative microbe is sensitive to high temperature and humidity? | 994 (69.6) |
| K9. Washing hands with soap and water is effective in eliminating the causative microbe. | 1,359 (95.1) |
Data presented as frequency (%).
Frequency and percentage of the participants with positive responses to the attitude items on the questionnaire.
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| A1. In my opinion, all people in the healthcare system and the community are part of this battle against COVID-19, and should be responsible about their role. | 1,381 (96.6) |
| A2. I believe that early detection of COVID-19 cases through mass testing will facilitate or accelerate the control of the COVID-19 pandemic. | 1,271 (88.9) |
| A3. I think people who got infected with COVID-19, including health care personnel, were infected due to negligence | 677 (47.4) |
| A4. You have a feel of threat or fear when you become close or provide care to a confirmed or suspected COVID-19 patient | 232 (16.2) |
| A5. I think COVID-19 is just a communicable disease which is being given undue importance | 1,003 (70.2) |
| A6. I think restricting travels, locking cities, and quarantining all suspected cases are an exaggeration for the current situation | 1,010 (70.7) |
| A7. The country's efforts will succeed in the battle against COVID-19 pandemic. | 1,048 (73.3) |
| A8. I think when COVID-19 pandemic is over many benefits and good things will be seen. | 1,013 (70.9) |
Data presented as frequency (%).
Frequency and percentage of the participants who were practicing appropriately based on responses to the questionnaire items.
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| P1. If I or anyone close to me develop any COVID-19 symptoms, I will seek or recommend to others to seek medical attention. | 1,347 (94.3) |
| P2. When I am putting on the personal protective equipment (PPE), I follow the following order: Suit—Mask—Goggles—Gloves. | 1,108 (77.5) |
| P3. I have been careful not to carry my mobile phone/pen, etc.… inside the COVID-19 ward. | 1,291 (90.1) |
| P4. I do not go out unless it is necessary. | 1,373 (96.1) |
| P5. When I finish my shift, I dispose the PPE and scrub thoroughly before entering home/quarters. | 1,365 (95.5) |
| P6. I sanitize my hands with alcohol-based solution before attending to each patient. | 1,333 (93.3) |
| P7. After using my PPE, I dispose them in the appropriate color-coded bins. | 1,365 (95.5) |
Data presented as frequency (%).
Distribution of adequate knowledge, positive attitude, and appropriate practices based on the demographics and characteristics of the participants.
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| Overall | 1,185 (82.9) | – | 1,203(84.2) | 1,329 (93.0) | |||
| Age (in years) | 21–30 | 491 (85.2) |
| 475 (82.5) |
| 509 (88.4) |
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| 31–40 | 386 (85.6) | 393 (87.1) | 428 (94.9) | ||||
| 41–50 | 200 (74.1) | 221 (81.9) | 262 (97.0) | ||||
| 51–60 | 83 (81.4) | 93 (91.2) | 102 (100) | ||||
| 61–70 | 25 (83.3) | 21 (70.0) | 28 (93.33) | ||||
| Gender | Male | 455 (82.8) | 0.875 | 418 (76.0) |
| 512 (93.1) | 0.917 |
| Female | 730 (83.1) | 785 (89.3) | 817 (93.0) | ||||
| Marital status | Single | 777 (80.3) |
| 835 (86.3) |
| 932 (96.3) |
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| Married | 408 (88.5) | 368 (79.8) | 397 (86.1) | ||||
| Residential area | Urban | 703 (90.4) |
| 665 (85.5) | 0.143 | 723 (92.9) | 0.908 |
| Rural | 482 (74.0) | 538 (82.6) | 606 (93.1) | ||||
| Received infection control training | No | 783 (86.4) |
| 712 (83.4) | 0.305 | 786 (92.0) | 0.082 |
| Yes | 447 (77.7) | 491 (85.4) | 543 (94.4) | ||||
| Health care professional | No | 167 (60.3) |
| 243 (87.7) | 0.059 | 263 (94.9) | 0.158 |
| Yes | 1,018 (88.4) | 960 (83.3) | 1,066 (92.5) | ||||
| Educational achievement | ≤High school | 152 (57.1) |
| 228 (85.7) |
| 258 (97.0) |
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| Bachelor or associate | 265 (78.6) | 250 (74.2) | 319 (94.7) | ||||
| Master | 338 (90.9) | 308 (82.8) | 324 (87.1) | ||||
| Doctoral | 430 (94.7) | 417 (91.9) | 428 (94.3) | ||||
| Hospital department for HCP ( | Medical | 533 (91.0) |
| 500 (85.3) |
| 531 (90.6) | 0.097 |
| Surgical | 137 (92.6) | 132 (89.2) | 139 (93.9) | ||||
| Nursing | 173 (85.2) | 162 (79.8) | 195 (96.1) | ||||
| Laboratory | 124 (89.9) | 113 (81.9) | 127 (92.0) | ||||
| Other para-clinical | 31 (63.3) | 31 (63.3) | 48 (98.0) | ||||
| Pharmacy | 20 (71.4) | 22 (78.6) | 26 (93.0) | ||||
Data presented as frequency (%).
p-values were from chi-squared test and the values in bold represent significant results.