| Literature DB >> 34084791 |
Rajesh Kumar1, Vanya Singh2, Aroop Mohanty2, Yogesh Bahurupi3, Puneet Kumar Gupta2.
Abstract
BACKGROUND: COVID-19 has become a global health emergency after its first case in Wuhan city, China. An increasing number of cases and deaths are challenging the health-care system globally. This study aims to assess knowledge, attitude, and practice toward COVID-19 disease among health personnel in rapid outbreak in India.Entities:
Keywords: Attitude; COVID-19; coronavirus; health personnel; knowledge; practice
Year: 2021 PMID: 34084791 PMCID: PMC8057180 DOI: 10.4103/jehp.jehp_524_20
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Sociodemographic characteristics of the health personnel (n=703)
| Variables | Categories | |
|---|---|---|
| Age (years), mean 30.27 years (SD±7.04) | ≤35 | 568 (80.9) |
| >35 | 134 (19.1) | |
| Gender | Male | 356 (50.6) |
| Female | 345 (49.1) | |
| Prefer not to say | 2 (0.3) | |
| Qualification | Diploma | 87 (12.4) |
| MBBS/bachelor | 335 (47.7) | |
| Master’s degree | 258 (36.7) | |
| PhD/doctorate | 23 (3.3) | |
| Source of information on COVID-19** | Internet/social media | 545 (77.52) |
| Textbooks/journals/institutional lectures | 384 (54.62) | |
| TV/newspaper/radio | 356 (50.64) | |
| Friends/family/neighbors | 183 (26.03) | |
| Health-care institution | Government | 505 (71.8) |
| Private | 156 (22.2) | |
| Semi-government | 42 (6.0) | |
| Occupation | Physician | 145 (20.6) |
| Nurse | 437 (62.2) | |
| Allied health personnel* | 121 (17.2) | |
| Years of professional experience (years) | <1 | 66 (9.4) |
| 1-5 | 333 (47.4) | |
| 5-10 | 175 (24.9) | |
| 10-20 | 100 (14.2) | |
| >20 | 29 (4.1) | |
| Exposure to treat COVID-19 patient | Yes | 116 (16.5) |
| No | 508 (72.3) | |
| May be | 79 (11.2) | |
| Experience of treating SARS, MERS-CoV or H1N1 | Yes | 171 (24.3) |
| No | 532 (75.7) |
*Nursing student, technician, and hospital attendant, **Percentage will exceed 100% due to multiple responses. MBBS=Bachelor of Medicine and Bachelor of Surgery, SD=Standard deviation, SARS=Severe acute respiratory syndrome, MERS-CoV=Middle East respiratory syndrome coronavirus
Knowledge, attitude, and practice toward COVID-19 (n=703)
| Questions related to knowledge | Percentage of correct response rate |
|---|---|
| K1. COVID-19 is thought to be originated from bats | 50.9 |
| K2. COVID-19 is transmitted through contact and air borne droplet routes | 95.9 |
| K3. Fever, fatigue, dry cough, and myalgia are the common clinical symptoms of COVID-19 | 95.3 |
| K4. An individual with COVID-19 can transmit the virus to other individuals after only having or developing fever | 81.1 |
| K5. Use of meat, pork, beef and other wild animals can leads to COVID-19 infection | 65.1 |
| K6. Young adults are more prone to get infected with COVID-19 virus | 68.0 |
| K7. Hand hygiene is an important standard precaution for general infection prevention and control | 99.9 |
| K8. People with contact history with the COVID-19-confirmed case should be immediately quarantined for a period of 14 days | 60.3 |
| K9. BCG vaccination will able to reduce the infection and prevention rate of COVID-19 | 60.7 |
| K10. Vaccine of COVID-19 is available in market for use | 96.9 |
| K11. PCR is an important diagnostic tool used to diagnose SARS-CoV-2 | 85.3 |
| Questions related to attitude | |
| A1. Do you think that there will be successful global control over COVID-19? | 63.7 |
| A2. Do you agree that transmission of COVID-19 infection can be prevented using standard precautions including wearing N95 mask? | 81.8 |
| A3. Do you feel that any authentic and scientific related information about COVID-19 should be shared among peers and other health personnel? | 94.6 |
| A4. Do you believe that people should behave in more civilized and responsible way to prevent spread the transmission in a country? | 91.9 |
| Questions related to practice | |
| P1. Suspected or confirmed COVID-19 patients must be kept in isolation | 99.0 |
| P2. Have you use mask (homemade, surgical, or any other) while going outside of home? | 90.8 |
| P3. During government advisory on lockdown, have you visited any crowded place? | 96.9 |
| P4. In recent days, do you wash your hands more frequently than earlier? | 97.6 |
| P5. In recent days, have you stopped calling other people at your home? | 82.2 |
| P6. During COVID-19 outbreak, have you followed the instructions of government authority for social distancing to prevent transmission? | 98.3 |
SARS-Cov-2=Severe acute respiratory syndrome conronavirus-2, PCR=Polymerase chain reaction
Association of sociodemographic variables with level of knowledge of COVID-19 (n=703)
| Variables | Categories | Knowledge score | ||
|---|---|---|---|---|
| Adequate knowledge, | Inadequate knowledge, | |||
| Age (years) | ≤35 | 64 (85.3) | 504 (80.4) | 0.303 |
| >35 | 11 (14.7) | 123 (19.6) | ||
| Gender | Male | 319 (51.0) | 37 (49.3) | 0.790 |
| Female | 307 (49.0) | 38 (50.7) | ||
| Qualification | Diploma | 69 (11.0) | 18 (24.0) | 0.011* |
| MBBS/bachelor | 301 (47.9) | 34 (45.3) | ||
| Master’s degree | 237 (37.7) | 21 (28.0) | ||
| PhD/doctorate | 21 (3.3) | 2 (2.7) | ||
| Type of health-care facility | Government | 470 (74.8) | 35 (465.7) | 0.0001* |
| Private | 125 (19.9) | 31 (41.3) | ||
| Semi-government | 33 (5.3) | 9 (12.0) | ||
| Occupation | Physician | 142 (22.6) | 3 (4) | 0.001* |
| Nurse | 382 (60.8) | 55 (77.3) | ||
| Allied health personnel** | 104 (16.6) | 17 (22.7) | ||
| Years of professional experience (years) | <1 | 56 (8.9) | 10 (13.3) | 0.097 |
| 1-5 | 292 (46.5) | 41 (54.7) | ||
| 5-10 | 162 (25.8) | 13 (17.3) | ||
| 10-20 | 94 (15.5) | 6 (8.0) | ||
| >20 | 24 (3.8) | 5 (6.7) | ||
| Exposure to treat COVID-19 patient | Yes | 102 (16.2) | 14 (18.7) | 0.864 |
| No | 455 (72.5) | 53 (70.7) | ||
| May be | 71 (11.3) | 8 (10.7) | ||
| Experience of treating SARS, MERS-CoV, or H1N1 | Yes | 157 (25.0) | 14 (18.7) | 0.227 |
| No | 471 (75.0) | 61 (81.3) | ||
**Nursing student, dentist, and hospital attendant. SARS=Severe acute respiratory syndrome, MERS-CoV=Middle East respiratory syndrome coronavirus
Binary logistic regression analysis on factors significantly associated with knowledge score on COVID-19 (n=703)
| Variables | COR (95% CI) | |
|---|---|---|
| Qualification | ||
| Diploma | Ref. | Ref. |
| MBBS/bachelor’s degree | 2.309 (1.232-4.324) | 0.009* |
| Master’s degree | 2.944 (1.485-5.835) | 0.002* |
| PhD/doctorate | 2.739 (0.587-12.782) | 0.200 |
| Type of health-care facility | ||
| Semi-government | Ref. | Ref. |
| Government | 3.662 (1.624-8.285) | 0.002* |
| Private | 1.100 (0.477-2.536) | 0.824 |
| Occupation | ||
| Allied health personnel** | Ref. | Ref. |
| Physician | 7.735 (2.210-27.091) | 0.001* |
| Nurse | 1.135 (0.632-2.039) | 0.671 |
**Nursing student, dentist, and hospital attendant. Ref.=Reference category, COR=Crude Odds Ratio, CI=Confidence interval, MBBS=Bachelor of Medicine and Bachelor of Surgery
Multivariate logistic regression to find the factors associated with knowledge on COVID-19 (n=703)
| Variables | AOR (95% CI) | |
|---|---|---|
| Qualification | ||
| Diploma | Ref. | Ref. |
| MBBS/bachelor’s degree | 1.452 (0.745-2.829) | 0.273 |
| Master’s degree | 1.892 (0.902-3.969) | 0.092 |
| PhD/doctorate | 1.492 (0.295-7.561) | 0.629 |
| Type of health-care facility | ||
| Semi-government | Ref. | Ref. |
| Government | 3.029 (1.319-6.942) | 0.009* |
| Private | 0.867 (0.372-2.065) | 0.763 |
| Occupation | ||
| Allied health personnel** | Ref. | Ref. |
| Physician | 6.315 (1.775-22.466) | 0.004* |
| Nurse | 1.048 (0.554-1.983) | 0.886 |
**Nursing student, dentist, and hospital attendant. Ref.=Reference category, AOR=Adjusted Odds Ratio, CI=Confidence interval, MBBS=Bachelor of Medicine and Bachelor of Surgery