| Literature DB >> 33053759 |
Abdulrahman A Alduraywish1, Kumar Chandan Srivastava2, Deepti Shrivastava3, Mohammed Ghazi Sghaireen4, Abdalkarem F Alsharari5, Khalid Al-Johani6, Mohammad Khursheed Alam7.
Abstract
Coronavirus disease (COVID-19) has emerged as a pandemic. The updated knowledge and a positive attitude of health care professionals (HCPs) towards fighting any pandemic is the key to success. Thus, the present study aims to assess the knowledge and attitude of HCPs towards COVID-19 in the Kingdom of Saudi Arabia (KSA). A cross-sectional study was conducted across the KSA, covering its five geographical regions with a non-probability quota sample. Twenty-nine, close-ended questions evaluating the knowledge and attitude domain were included in the questionnaire. It was developed with the help of Qualtrics software and circulated among the HCPs through the electronic mode. We analyzed data from about 1040 HCPs using the statistical package of social sciences (SPSS) v.21. All variables were presented in number and percentages. Univariate and multivariate logistic regression was performed to explore the odds ratio (OR) and adjusted odds ratio (aOR) of independent variables for inadequate knowledge and attitude. Considering the "good" level of the respective domain, the HCPs have displayed better knowledge (48.2%) over attitude (33.8%). Female (aOR: 1.55; 95% CI: 1.15-2.09; p = 0.004), Diploma degree (aOR: 2.51; 95% CI: 1.64-3.83; p < 0.001), 7-10 years' experience (aOR: 1.47; 95% CI: 1.01-2.15; p = 0.045) were at higher risk of having inadequate knowledge compared to their contemporaries. Among the sources, the Ministry of Health (MOH) website was the most popular source of information (76%). The knowledge and attitude of HCPs regarding COVID-19 was similar across all the regions of KSA. However, the continuing education program is warranted to fill the potential gap in knowledge for HCPs in higher-risk groups.Entities:
Keywords: 2019-nCoV; COVID-19; SARS-CoV2; coronavirus prevention; health care professionals; infection control; knowledge; nomenclature; preparedness planning
Mesh:
Year: 2020 PMID: 33053759 PMCID: PMC7600160 DOI: 10.3390/ijerph17207415
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive Characteristics.
| Variable | Responses | ƒ(n)(%) | |
|---|---|---|---|
|
| 1040 | ||
| Age | 20–30 Years | 371 (35.7) | |
| 31–40 Years | 454 (43.7) | ||
| 41–50 Years | 151 (14.5) | ||
| ≥51 Years | 64 (6.2) | ||
| Gender | Male | 339 (32.6) | |
| Female | 701 (67.4) | ||
| Nationality | Saudi | 635 (61.1) | |
| Non Saudi | 405 (38.9) | ||
| Region of Saudi Arabia | Central region (Riyadh and Qassim) | 297 (28.6) | |
| Eastern region (Dammam, Jubail, Hassa, and others) | 52 (5.2) | ||
| Western region (Makkah, Jeddah, Taif, and Madinah) | 224 (21.5) | ||
| Northern region (Hail, Aljouf, Tabouk, and Arar) | 291 (28) | ||
| Southern region (Assir, Jazan, Najran, and Baha) | 176 (16.9) | ||
| Educational level | Intern | 71 (6.8) | |
| Diploma degree/Associate college | 269 (25.9) | ||
| Bachelor’s degree | 484 (46.5) | ||
| Master’s degree | 138 (13.3) | ||
| Doctorate/PhD | 78 (7.5) | ||
| Work experience | 1–3 Years | 255 (24.5) | |
| 4–6 Years | 167 (16.1) | ||
| 7–10 Years | 218 (21) | ||
| ˃10 Years | 400 (38.5) | ||
| Nature of organization | Government | 975 (93.8) | |
| Private | 65 (6.3) | ||
| Type of work setup | Non-academic | Primary healthcare center | 155 (14.9) |
| Regional/Public hospital | 506 (48.7) | ||
| Specialized hospital/Referral center | 197 (18.9) | ||
| Military hospital/Medical clinics | 45 (4.3) | ||
| Private clinic | 23 (2.2) | ||
| Private hospital or Medical complex | 35 (3.4) | ||
| Academic | University hospital/Clinics | 79 (7.6) | |
| Source of information | Social media | 522 (50.2) | |
| Professional colleague | 191 (18.4) | ||
| Ministry of health website | 790 (76) | ||
| Journals | 201 (19.3) | ||
Note: Responses are not mutually exclusive.
Descriptive analysis of questions pertaining to the knowledge domain.
| Category of Information | Question (Correct Response) | Response ƒ (%) | ||
|---|---|---|---|---|
| Yes | No | I Don’t Know | ||
| Nomenclature/Identification of causative organism | ‡ Corona virus disease 2019 (COVID-19) is known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2). | 422 (40.6) | 428 (41.2) | 190 (18.3) |
| Corona virus is the causative organism responsible for Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS) and COVID-19. | 760 (73.1) | 180 (17.3) | 100 (9.6) | |
| Origin of infection | In COVID-19, the Chinese horseshoe bats are considered as the most probable origin. | 688 (66.2) | 94 (9.0) | 258 (24.8) |
| ‡ The main source of COVID-19 virus is plant. | 13 (1.3) | 895 (86.1) | 132 (12.7) | |
| Does COVID-19 have any intermediate host? | 420 (40.4) | 289 (27.8) | 331 (31.8) | |
| Transmission | COVID-19 is transmitted by close contact with infected person or animal. | 863 (83) | 127 (12.2) | 50 (4.8) |
| COVID-19 can be transmitted from respiratory droplets and contact. | 1026 (98.7) | 14 (1.3) | 0 | |
| Symptoms of infection | Incubation time for virus is 1–14 days. | 1022 (98.3) | 11 (1.1) | 7 (0.7) |
| Fever, dry cough, and shortness of breath are the hallmark symptoms of COVID-19. | 1016 (97.7) | 15 (1.4) | 9 (0.9) | |
| High-risk group | People with co-morbidity (Diabetes mellitus and other chronic diseases) are more likely to be infected with COVID-19. | 894 (86) | 86 (8.3) | 60 (5.8) |
| Prognosis | COVID-19 has less fatality rate than Middle East respiratory syndrome related Coronavirus (MERS-CoV). | 497 (47.8) | 380 (36.5) | 163 (15.7) |
| Investigation | Polymerase chain reaction (PCR) can be used to diagnose COVID-19. | 605 (58.2) | 82 (7.9) | 353 (33.9) |
| Treatment | ‡ Antibiotics are the first line treatment. | 261 (25.1) | 597 (57.4) | 182 (17.5) |
| Prevention | ‡ As per the guidelines issued from the health authorities, washing hands with soap and water for at least 30 s can help in the prevention of COVID-19. | 924 (88.8) | 102 (9.8) | 14 (1.3) |
| ‡Vaccination of COVID-19 is available in the market. | 14 (1.3) | 953 (91.6) | 73 (7) | |
| Total Knowledge Score | Poor | Moderate | Good | |
| 8 (0.8) | 531 (51.1) | 501 (48.2) | ||
Note: ‡ Negatively worded questions.
Descriptive analysis of questions pertaining to the attitude domain.
| Category of Information | Question | Response n (%) | ||||
|---|---|---|---|---|---|---|
| SD | D | n | A | SA | ||
| Awareness about COVID-19 | Health-care professionals must update themselves with all the information about Corona virus disease 2019 (COVID-19). | 39 (3.8) | 8 (0.8) | 21 (2) | 225 (21.6) | 747 (71.8) |
| Any related information about COVID-19 should be disseminated among the peers and other health-care workers. | 38 (3.7) | 30 (2.9) | 44 (4.2) | 300 (28.8) | 628 (60.4) | |
| Precipitating factor | To comply with any local restrictions on travel, movement or large gatherings is one of the important ways of prevention from COVID-19. | 27 (2.6) | 4 (0.4) | 14 (1.3) | 158 (15.2) | 837 (80.5) |
| Symptoms | People with fever, cough, and difficulty in breathing should seek medical attention. | 26 (2.5) | 3 (0/3) | 17 (1.6) | 258 (24.8) | 736 (70.8) |
| Infection control protocol | Prevalence of COVID-19 can be reduced by active participation of health care workers in the hospital’s infection control program. | 35 (3.4) | 32 (3.1) | 67 (6.4) | 359 (34.5) | 547 (52.6) |
| Transmission of COVID-19 infection can be prevented using universal precautions given by the Center for Disease Control (CDC) and the World Health Organization (WHO). | 30 (2.9) | 12 (1.2) | 37 (3.6) | 343 (33) | 618 (59.4) | |
| ‡ Using N95 masks by the undiagnosed patients is critically important. | 126 (12.1) | 219 (21.1) | 57 (15.1) | 264 (25.4) | 274 (26.3) | |
| Gowns, gloves, mask, and goggles must be used while dealing with COVID-19 patients. | 26 (2.5) | 8 (0.8) | 10 (1) | 143 (13.8) | 853 (82) | |
| ‡ Especially during the outbreak of COVID-19, every patient coming to the hospital, should be considered as infectious and all standard protocol should be adopted. | 39 (3.8) | 53 (5.1) | 45 (4.3) | 297 (28.6) | 606 (58.3) | |
| Notify the receiving area about the patient’s diagnosis and necessary precautions should be taken as soon as possible before the patient’s arrival. | 25 (2.4) | 5 (0.5) | 25 (2.4) | 243 (23.4) | 742 (71.3) | |
| Health care professionals who are transporting the patients should wear appropriate personal protective equipment and perform hand hygiene afterward. | 26 (2.5) | 6 (0.6) | 8 (0.8) | 151 (14.5) | 849 (81.6) | |
| Prevention | It is important to stay more than 1 m (3 feet) away from a person who is sick. | 32 (3.1) | 6 (0.6) | 18 (1.7) | 220 (21.2) | 764 (73.5) |
| Treatment | Only suspected cases of COVID-19 patients should be kept in isolation. | 69 (6.6) | 81 (7.8) | 40 (3.8) | 309 (29.7) | 541 (52) |
| Intensive and emergency treatment should be given to COVID-19 diagnosed patients. | 32 (3.1) | 39 (3.8) | 65 (6.3) | 280 (26.9) | 624 (60) | |
| Total Attitude Score | Poor | Moderate | Good | |||
| 24 (2.3) | 664 (63.8) | 352 (33.8) | ||||
Note: SD—Strongly disagree, D—Disagree, N—Neutral, A—Agree, SA—Strongly Agree. Negatively worded question.
Univariate Logistic regression analysis.
| Parameters | Knowledge Domain | Attitude Domain | ||||||
|---|---|---|---|---|---|---|---|---|
| Adequate | Inadequate | Odds Ratio (CI) | Adequate | Inadequate | Odds Ratio (CI) | |||
| Age | ||||||||
| 20–30 Yrs. | 135 (36.4) | 236 (63.6) | 2.73 (1.93–3.85) | <0.001 | 124 (33.4) | 247 (66.6) | 1.13 (0.8–1.61) | 0.483 |
| 31–40 Yrs. | 235 (51.8) | 219 (48.2) | 1.45 (1.04–2.02) | 0.026 | 150 (33) | 304 (67) | 1.15 (0.82–1.62) | 0.409 |
| >40 Yrs. | 131 (60.9) | 84 (39.1) | Reference | 78 (36.3) | 137 (63.7) | Reference | ||
| Gender | ||||||||
| Male | 199 (58.7) | 140 (41.3) | Reference | 122 (36) | 217 (64) | Reference | ||
| Female | 302 (43.1) | 399 (56.9) | 1.88 (1.44–2.44) | <0.001 | 230 (32.8) | 471 (67.2) | 1.15 (0.88–1.51) | 0.310 |
| Educational Level | ||||||||
| Intern | 26 (36.6) | 45 (63.4) | 3.61 (2.06–6.32) | <0.001 | 22 (31) | 49 (69) | 1.07 (0.6–1.9) | 0.824 |
| Diploma Degree/associate college | 99 (36.8) | 170 (63.2) | 3.58 (2.46–5.22) | <0.001 | 89 (33.1) | 180 (66.9) | 0.97 (0.66–1.42) | 0.874 |
| Bachelor’s degree | 230 (47.5) | 254 (52.5) | 2.3 (1.65–3.22) | <0.001 | 171 (35.3) | 313 (64.7) | 0.88 (0.62–1.23) | 0.452 |
| Above master’s degree | 146 (67.6) | 70 (32.4) | Reference | 70 (32.4) | 146 (67.6) | Reference | ||
| Nationality | ||||||||
| Saudi | 270 (42.5) | 365 (57.5) | Reference | 222 (35) | 413 (65) | Reference | ||
| Non-Saudi | 231 (57) | 174 (43) | 0.56 (0.43–0.72) | <0.001 | 130 (32.1) | 275 (67.9) | 1.14 (0.87–1.48) | 0.342 |
| Region of Saudi Arabia | ||||||||
| Central | 153 (51.5) | 144 (48.5) | Reference | 118 (39.7) | 179 (60.3) | Reference | ||
| Eastern | 28 (53.8) | 24 (46.2) | 0.91 (0.5–1.64) | 0.756 | 17 (32.7) | 35 (67.3) | 1.36 (0.73–2.53) | 0.338 |
| Western | 105 (46.9) | 119 (53.1) | 1.2 (0.85–1.7) | 0.294 | 72 (32.1) | 152 (67.9) | 1.39 (0.97–2) | 0.075 |
| Northern | 146 (50.2) | 145 (49.8) | 1.06 (0.76–1.46) | 0.745 | 91 (31.3) | 200 (68.7) | 1.45 (1.03–2.04) |
|
| Southern | 69 (39.2) | 107 (60.8) | 1.65 (1.13–2.41) | 0.010 | 54 (30.7) | 122 (69.3) | 1.49 (1–2.21) |
|
| Nature of organization | ||||||||
| Government | 472 (48.4) | 503 (51.6) | Reference | 332 (34.1) | 643 (65.9) | Reference | ||
| Private | 29 (44.6) | 36 (55.4) | 1.16 (0.7–1.93) | 0.554 | 20 (30.8) | 45 (69.2) | 1.16 (0.67–2) | 0.588 |
| Type of work setup | ||||||||
| Health care centre | 313 (45.8) | 371 (54.2) | 1.33 (1.03–1.71) | 0.031 | 245 (35.8) | 439 (64.2) | 0.77 (0.58–1.01) | 0.063 |
| Multi-Speciality hospital | 188 (52.8) | 168 (47.2) | Reference | 107 (30.1) | 249 (69.9) | Reference | ||
| Work experience | ||||||||
| 1–3 Years | 102 (40) | 153 (60) | 2.05 (1.49–2.82) | <0.001 | 79 (31) | 176 (69) | 1.28 (0.92–1.79) | 0.147 |
| 4–6 Years | 75 (44.9) | 92 (55.1) | 1.68 (1.17–2.41) | 0.005 | 48 (28.7) | 119 (71.3) | 1.43 (0.96–2.11) | 0.077 |
| 7–10 Years | 93 (42.7) | 125 (57.3) | 1.84 (1.32–2.57) | <0.001 | 79 (36.2) | 139 (63.8) | 1.01 (0.72–1.43) | 0.949 |
| >10 Years | 231 (57.8) | 169 (42.3) | Reference | 146 (36.5) | 254 (63.5) | Reference | ||
| Number of sources of information | ||||||||
| 1 | 269 (45.1) | 327 (54.9) | 1.71 (1.2–2.44) | 0.003 | 201 (33.7) | 395 (66.3) | 0.98 (0.68–1.42) | 0.926 |
| 2 | 139 (48.8) | 146 (51.2) | 1.48 (1–2.19) | 0.050 | 98 (34.4) | 187 (65.6) | 0.95 (0.63–1.44) | 0.822 |
| >2 | 93 (58.5) | 66 (41.5) | Reference | 53 (33.3) | 106 (66.7) | Reference | ||
Note: CI—Confidence interval; Results are expressed in Number (%).
Multivariate Logistic regression analysis.
| Parameters | Knowledge Domain | |
|---|---|---|
| aOR (CI) | ||
| Age | ||
| 20–30 Yrs. | 1.44 (0.83–2.48) | 0.195 |
| 31–40 Yrs. | 1.02 (0.7–1.51) | 0.902 |
| >40 Yrs. | Reference | |
| Gender | ||
| Male | Reference | |
| Female | 1.55 (1.15–2.09) | 0.004 |
| Educational level | ||
| Intern | 1.56 (0.8–3.03) | 0.195 |
| Diploma degree/Associate college | 2.51 (1.64–3.83) | <0.001 |
| Bachelor’s degree | 1.35 (0.9–2.01) | 0.145 |
| Above Master’s degree | Reference | |
| Nationality | ||
| Saudi | Reference | |
| Non-Saudi | 0.76 (0.55–1.05) | 0.095 |
| Region of Saudi Arabia | ||
| Central region | Reference | |
| Eastern region | 0.84 (0.45–1.56) | 0.576 |
| Western region | 1.02 (0.7–1.49) | 0.908 |
| Northern region | 1.14 (0.8–1.62) | 0.462 |
| Southern region | 1.41 (0.94–2.1) | 0.094 |
| Type of work setup | ||
| Health care centre | 1.13 (0.85–1.51) | 0.405 |
| Multi-Speciality hospital | Reference | |
| Work experience | ||
| 1–3 Years | 1.48 (0.91–2.42) | 0.115 |
| 4–6 Years | 1.52 (0.97–2.37) | 0.067 |
| 7–10 Years | 1.47 (1.01–2.15) | 0.045 |
| ˃10 Years | Reference | |
| Number of Sources for information | ||
| 1 | 1.19 (0.81–1.75) | 0.379 |
| 2 | 1.14 (0.75–1.74) | 0.539 |
| >2 | Reference | |
Note: CI—Confidence interval; aOR—adjusted Odds ratio.