| Literature DB >> 34281512 |
Amul Shrestha1,2, Tek Bahadur Thapa3,4, Mahendra Giri3,5, Sanjiv Kumar3, Sakil Dhobi3,6, Haikali Thapa3,7, Pawan Prakash Dhami3, Arun Shahi3,8, Ajita Ghimire3, Ela Singh Rathaur3,9.
Abstract
BACKGROUND: Emerging and reemerging pathogens are global challenges for public health and the pandemic of Coronavirus disease 2019is a reemerging case of an infectious disease caused by Severe Acute Respiratory Syndrome-Corornavirus-2. Health care worker worldwide are at higher risk worldwide and the situation is the same in Nepal. The knowledge and attitude of health workers will certainly mark the outcome towards this pandemic. So, this study aims to assess the knowledge and attitude of community health workers towards the prevention of COVID-19 virus.Entities:
Keywords: Community health care workers (HCW’s); Enabling factors; Knowledge and attitude; Palika (rural/ urban municipalities and metropolitan city)
Mesh:
Year: 2021 PMID: 34281512 PMCID: PMC8287280 DOI: 10.1186/s12889-021-11400-9
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics of participants (n = 399)
| Variables | Category | Frequency | Percentage |
|---|---|---|---|
| Age | 18–27 | 177 | 44.4 |
| 28–37 | 137 | 34.3 | |
| 38–47 | 63 | 15.8 | |
| 48 and above | 22 | 5.5 | |
| Gender | Male | 230 | 57.6 |
| Female | 169 | 42.4 | |
| Marital status | Married | 246 | 61.7 |
| Unmarried | 150 | 37.6 | |
| Divorced | 1 | 0.3 | |
| Widow | 2 | 0.5 | |
| Designation | HA | 118 | 29.6 |
| AHW | 87 | 21.8 | |
| ANM | 97 | 24.3 | |
| Nursing staff | 19 | 4.8 | |
| PHO | 19 | 4.8 | |
| Others | 59 | 14.8 | |
| Firstly, known Information about COVID-19 | Socialmedias (FB/Twitter/ YouTube/ Instagram) | 137 | 34.3 |
| Television/ radio | 244 | 61.2 | |
| Friends and relatives | 7 | 1.8 | |
| scientific journals | 11 | 2.8 | |
| Working province | Province 2 | 123 | 30.8 |
| Bagmati | 160 | 40.1 | |
| Gandaki | 6 | 1.5 | |
| Karnali | 98 | 24.6 | |
| Sudurpaschim | 12 | 3.0 | |
| Education level | Master | 45 | 11.3 |
| Bachelor | 102 | 25.6 | |
| PCL | 165 | 41.4 | |
| TSLC | 87 | 21.8 | |
| Monthly income | 25 K–35 K | 184 | 46.1 |
| 35 K–45 K | 92 | 23.1 | |
| 45 K–55 K | 62 | 15.5 | |
| Above 55 K | 61 | 15.3 | |
| Orientation on COVID-19 | Yes | 82 | 20.6 |
| No | 317 | 79.4 | |
| Extra allowance provided | Yes | 94 | 23.6 |
| No | 305 | 76.4 | |
| Working hours in a week | <=40 | 119 | 29.8 |
| > 40 | 280 | 70.2 | |
| Support from palika | Excellent | 17 | 4.3 |
| Good | 251 | 62.9 | |
| Poor | 79 | 19.8 | |
| very Poor | 52 | 13.0 | |
| Palika level COVID-19 Response team | Yes | 281 | 70.4 |
| No | 23 | 5.8 | |
| Don’t know | 95 | 23.8 | |
Frequency related to knowledge of participants
| Variables | Category | Frequency | Percentage |
|---|---|---|---|
| COVID-19 is caused by | Virus | 397 | 99.5 |
| Fungus | 1 | 0.3 | |
| Parasite | 1 | 0.3 | |
| COVID-19 is transmitted by close contact with infected person? | Yes | 393 | 98.5 |
| No | 6 | 1.5 | |
| The first case of novel coronavirus was identified in | Beijing | 17 | 4.3 |
| Shanghai | 22 | 5.5 | |
| Wuhan, Hubei | 360 | 90.2 | |
| Which is true about COVID-19? | All age group | 87 | 21.8 |
| Mild in children | 9 | 2.3 | |
| Older and pre-existing medical condition | 94 | 23.6 | |
| All of the above | 209 | 52.4 | |
| Symptoms of COVID-19 are: | Fever | 7 | 1.8 |
| Cough | 3 | 0.8 | |
| Shortness of breadth | 41 | 10.3 | |
| All the above | 348 | 87.2 | |
| The COVID-19 virus spreads via respiratory droplets of infected individuals | Yes | 395 | 99 |
| No | 4 | 1 | |
| The isolation period for COVID-19 is: | 1 week | 3 | 0.8 |
| 2 weeks | 282 | 70.7 | |
| 3 weeks | 74 | 18.5 | |
| More than 4 weeks | 40 | 10 | |
| How to prevent from COVID19? | Clean hands with soap and water/ sanitizer | 57 | 14.3 |
| Cover mouth and nose when coughing and sneezing | 6 | 1.5 | |
| Avoid close contact with those who show signs of flu | 5 | 1.3 | |
| Properly cook meats, eggs before eating | 3 | 0.8 | |
| All the above | 328 | 82.2 | |
| COVID-19 vaccines are available in the market now | Yes | 54 | 13.5 |
| No | 345 | 86.5 | |
| Health care workers are at high risk of COVID-19 | Yes | 389 | 97.5 |
| No | 10 | 2.5 | |
| PPE includes: | Gloves | 16 | 4 |
| Gloves, apron | 20 | 5 | |
| Gloves, apron, face mask | 11 | 2.7 | |
| Gloves, apron, face mask and eye protection | 352 | 88.3 | |
Frequency related to attitude variables of participants
| Variables | Categories | Frequency | Percentage |
|---|---|---|---|
| Do you think you will get ill from COVID-19 | Yes | 224 | 56.1 |
| No | 175 | 43.9 | |
| If you get COVID-19, will you accept isolation in a Health facility? | Yes | 367 | 92 |
| No | 32 | 8 | |
| If COVID-19 vaccine were available, would you t take it? | Yes | 353 | 88.5 |
| No | 46 | 11.5 | |
| Do you think wearing PPE reduces the chance of getting COVID-19? | Yes | 380 | 95.2 |
| No | 19 | 4.8 | |
| Do you think lockdown is the best way to prevent COVID-19? | Yes | 369 | 92.5 |
| No | 30 | 7.5 | |
| Do you feel bad when people don’t use masks while coming for treatment? | Yes | 367 | 92 |
| No | 32 | 8 | |
| Do you think COVID-19 will successfully be controlled? | Yes | 321 | 80.5 |
| No | 78 | 19.5 | |
Association of Knowledge with demographic and enabling factors
| Variables | Categories | Knowledge | ||
|---|---|---|---|---|
| Age | 18–27 | 113 | 64 | 0.924 |
| 28–37 | 88 | 49 | ||
| 38–47 | 28 | 25 | ||
| 48 and above | 13 | 9 | ||
| Gender | Male | 160 | 70 | |
| Female | 92 | 77 | ||
| Marital status | Married | 142 | 104 | |
| Unmarried | 108 | 42 | ||
| Divorced | 1 | 0 | ||
| Widow | 1 | 1 | ||
| Designation | HA | 81 | 37 | |
| AHW | 56 | 31 | ||
| ANM | 41 | 56 | ||
| Nursing staff | 17 | 2 | ||
| PHO | 16 | 3 | ||
| Others | 41 | 18 | ||
| Firstly, known Information about COVID-19 | Social medias (FB/Twitter/ youtube/ instagram) | 101 | 36 | |
| Television/ radio | 134 | 110 | ||
| Friends and relatives | 6 | 1 | ||
| scientific journals | 11 | 0 | ||
| working province | Province 2 | 86 | 37 | |
| Bagmati | 111 | 49 | ||
| Gandaki | 5 | 1 | ||
| Karnali | 45 | 53 | ||
| Sudurpaschim | 5 | 7 | ||
| Education level | Master | 29 | 16 | |
| Bachelor | 68 | 34 | ||
| PCL | 121 | 44 | ||
| TSLC | 34 | 53 | ||
| Monthly income | 25 K–35 K | 118 | 66 | |
| 35 K–45 K | 45 | 47 | ||
| 45 K–55 K | 44 | 18 | ||
| Above 55 K | 45 | 16 | ||
| Orientation on COVID-19 | Yes | 50 | 32 | 0.646 |
| No | 202 | 115 | ||
| Working hours in a week | <=40 | 74 | 45 | 0.793 |
| > 40 | 178 | 102 | ||
| Extra allowance provided | Yes | 57 | 37 | 0.562 |
| No | 195 | 110 | ||
| Support from palika | Excellent | 10 | 7 | |
| Good | 153 | 98 | ||
| Poor | 60 | 19 | ||
| very Poor | 29 | 23 | ||
| Sufficient equipment and medicines available at health facilities | Yes | 131 | 121 | 0.259 |
| No | 85 | 62 | ||
| Palika level COVID-19 Response team | Yes | 179 | 102 | 0.879 |
| No | 15 | 8 | ||
| Don’t know | 58 | 37 | ||
Association with Attitude and demographic/ enabling factors
| Variables | Categories | Attitude | ||
|---|---|---|---|---|
| Age | 18–27 | 123 | 54 | 0.26 |
| 28–37 | 84 | 53 | ||
| 38–47 | 39 | 24 | ||
| 48 and above | 13 | 5 | ||
| Gender | Male | 167 | 63 | |
| Female | 96 | 73 | ||
| Marital status | Married | 154 | 92 | 0.12 |
| Unmarried | 108 | 42 | ||
| Divorced | 0 | 1 | ||
| Widow | 1 | 1 | ||
| Designation | HA | 90 | 28 | |
| AHW | 56 | 31 | ||
| ANM | 49 | 48 | ||
| Nursing staff | 11 | 8 | ||
| PHO | 16 | 3 | ||
| Others | 41 | 18 | ||
| Firstly, known Information about COVID-19 | Social medias (FB/Twitter/ YouTube/ Instagram) | 104 | 33 | |
| Television/ radio | 144 | 100 | ||
| Friends and relatives | 6 | 1 | ||
| scientific journals | 9 | 2 | ||
| working province | Province 2 | 86 | 37 | |
| Bagmati | 114 | 46 | ||
| Gandaki | 5 | 1 | ||
| Karnali | 50 | 48 | ||
| Sudurpaschim | 8 | 4 | ||
| Education level | Master | 31 | 14 | 0.09 |
| Bachelor | 67 | 35 | ||
| PCL | 117 | 48 | ||
| TSLC | 48 | 39 | ||
| Monthly income | 25 K–35 K | 128 | 56 | 0.184 |
| 35 K–45 K | 52 | 40 | ||
| 45 K–55 K | 42 | 20 | ||
| Above 55 K | 41 | 20 | ||
| Orientation on COVID-19 | Yes | 54 | 28 | 0.99 |
| No | 209 | 108 | ||
| Working hours in a week | <=40 | 82 | 37 | 0.411 |
| > 40 | 181 | 99 | ||
| Extra allowance provided | Yes | 60 | 34 | 0.626 |
| No | 203 | 102 | ||
| Support from palika | Excellent | 11 | 6 | 0.309 |
| Good | 164 | 87 | ||
| Poor | 58 | 21 | ||
| very Poor | 30 | 22 | ||
| Sufficient equipment and medicines available at health facilities | Yes | 123 | 60 | 0.615 |
| No | 140 | 76 | ||
| Palika level COVID-19 Response team | Yes | 191 | 90 | |
| No | 21 | 2 | ||
| Don’t know | 51 | 44 | ||
Effect of socio-demographic and enabling factors on Knowledge and attitude (logistic regression model)
| Gender | Male | 1.913 | 1.266–2.891 | |
| Female | Ref | |||
| Designation | HA | Ref | ||
| AHW | 1.213 | 0.563–2.613 | 0.622 | |
| ANM | 0.991 | 0.450–2.181 | 0.982 | |
| Nursing staff | 2.243 | 1.006–5.000 | ||
| PHO | 0.279 | 0.055–1.429 | 0.126 | |
| Others | 0.386 | 0.092–1.620 | 0.193 | |
| Education level | Master | Ref | ||
| Bachelor | 0.465 | 0.228–0.950 | ||
| PCL | 0.778 | 0.311–1.949 | 0.592 | |
| TSLC | 0.305 | 0.161–0.579 | ||
| Monthly income | 25 K–35 K | Ref | ||
| 35 K–45 K | 1.338 | 0.647–2.766 | 0.431 | |
| 45 K–55 K | 2.523 | 1.157–5.500 | ||
| Above 55 K | 0.979 | 0.415–2.312 | 0.962 | |
| Gender | Male | 1.884 | 1.216–2.918 | |
| Female | Ref | |||
| Firstly, known Information about COVID-19 | Social medias (FB/Twitter/ YouTube/ Instagram) | Ref | ||
| Television/ radio | 0.301 | 0.035–2.580 | 0.273 | |
| Friends and relatives | 0.367 | 0.076–1.768 | 0.211 | |
| scientific journals | 0.475 | 0.293–0.768 | ||
| Palika level COVID-19 Response team | Yes | Ref | ||
| No | 1.451 | 0.882–2.386 | 0.142 | |
| Do not know | 0.195 | 0.044–0.863 |