| Literature DB >> 33469347 |
Saddam Al Demour1, Mera A Ababneh2, Raed N Al-Taher3, Adel F Alrabadi1, Ahmad F Jaradat4,5, Faris A Abushamma4,5,6, Fadi A Al-Hadidi7, Baeth M Al-Rawashdeh8, Mohammad A Ihmeidan1, Ahmad K Abubaker9, Mohammad T Al-Zubi10.
Abstract
BACKGROUND AND OBJECTIVES: Coronavirus disease-2019 (COVID-19) is an emerging disease threatening the world with a rapid increase in cases and deaths since it was first identified in December 2019. Adequate knowledge, practice, and attitudes (KPA) toward COVID-19 among physicians at the frontline defense against the COVID-19 pandemic may enhance their ability to avoid the risk of self-infection, decrease mortality, and provide adequate medical care service in this pandemic. This study aimed to assess KPA toward COVID-19 among physicians in Jordan and Palestine.Entities:
Keywords: COVID-19; attitudes; coronavirus; knowledge; physicians; practice
Year: 2021 PMID: 33469347 PMCID: PMC7812038 DOI: 10.2147/IJGM.S294221
Source DB: PubMed Journal: Int J Gen Med ISSN: 1178-7074
Sociodemographic Characteristics of Participants (n=454)
| Characteristics | Participants, n (%) |
|---|---|
| Age group (years) (Mean± SD) | 36.2±10.8 |
| 22–35 | 263 (57.9) |
| 36–50 | 143 (31.5) |
| >50 | 48 (10.6) |
| Gender | |
| Male | 354 (78) |
| Female | 100 (22) |
| Working place | |
| Jordan | 366 (80.6) |
| Palestine | 88 (19.4) |
| Place of residence | |
| Urban | 426 (93.8) |
| Rural | 28 (6.2) |
| Professional degree | |
| Consultant | 111 (24) |
| Specialist | 133(29.3) |
| Resident | 148 (32.6) |
| Intern | 62 (13.7) |
| Health-care sector | |
| Public sector | 132 (29.1) |
| Military sector | 28 (6.2) |
| University sector | 140 (30.8) |
| Private sector | 154 (33.9) |
| Marital status | |
| Married | 273 (60.5) |
| Single | 175 (38.8) |
| Divorced | 3 (0.7) |
| Presence of children | |
| Yes | 209 (46) |
| No | 245 (54) |
| Monthly income (JD) | |
| Less than 500 | 84(18.5) |
| 500–1000 | 146(32.2) |
| >1000 | 224 (49.3) |
| Experience (years) | |
| < 5 | 226 (49.8) |
| 5–9 | 81 (17.8) |
| 10–14 | 55 (12.1) |
| >15 | 92 (20.3) |
Abbreviations: SD, standard deviation; JD, Jordanian Dinar.
Basic and General Knowledge of COVID-19 (n=454)
| Basic Knowledge of COVID-19 | Correct Answers N (%) | ||
|---|---|---|---|
| COVID-19 classified by WHO as pandemic | 397 (87.4) | ||
| The geographical origin of COVID-19 from Wuhan-China | 452 (99.5) | ||
| The official name used by the WHO for the virus is SARS-COV2 | 71 (15.6) | ||
| The potential natural host of SARS-COV2 is thought to be from animal | 249 (54.8) | ||
| The incubation period of SARS-COV2 is 2–14 days | 400 (88.1) | ||
| The diagnosis of COVID-19 confirmed by PCR | 440 (96.9) | ||
| Mean ± SD of basic knowledge score | 4.4 ± 0.8 | ||
| Range | 2–6 | ||
| Possible routes of transmission of SARS-COV2 are: | |||
| Human body fluids | 122 (26.9) | 275 (60.6) | 57 (12.6) |
| From human to human | 7 (1.5) | 445 (98.1) | 2 (0.4) |
| Contaminated surfaces | 4 (0.9) | 450 (99.1) | – |
| Airborne route | 63 (13.9) | 364 (80.2) | 27 (5.9) |
| Droplets spread by coughing or sneezing | 5 (1.1) | 448 (98.7) | 1 (0.2) |
| Fecal-oral | 211 (46.6) | 145 (31.9) | 98 (21.6) |
| From mother to fetus | 222(48) | 70(15.4) | 162(35.7) |
| Possible symptoms of COVID-19 are: | |||
| Headache | 48 (10.6) | 393 (86.6) | 13 (2.9) |
| Sputum | 320 (70.5) | 115 (25.3) | 19 (4.2) |
| Cough | 5 (1.1) | 447 (98.5) | 4 (0.9) |
| Shortness of breathiness | – | 449 (98.9) | 5 (1.1) |
| Fever | 4 (0.9) | 448 (98.7) | 2 (0.4) |
| Myalgia | 8 (1.8) | 441 (97.1) | 5 (1.1) |
| Diarrhea | 97 (21.4) | 325 (71.6) | 32 (7) |
| No symptoms | 307 (67.6) | 129 (28.4) | 18 (4) |
| Patients with the following comorbidities are more likely affected by COVID-19: | |||
| Arterial hypertension | 93 (20.5) | 320 (70.5) | 41 (9) |
| Diabetes mellitus | 33 (7.3) | 395 (87) | 26 (5.7) |
| COPD | 4 (0.9) | 446 (98.2) | 4 (0.9) |
| Renal failure | 67 (14.8) | 338 (74.4) | 49 (10.8) |
| Respiratory failure | 2 (0.4) | 445 (98) | 7 (1.6) |
| Ischemic heart disease | 56 (12.3) | 359 (79.1) | 39 (8.6) |
| Bronchial asthma | 15 (3.3) | 413 (91) | 26 (5.7) |
| Malignances | 30 (6.6) | 393 (86.6) | 31 (6.8) |
| Possible complications of COVID-19 are: | |||
| Pneumonia | 15 (3.3) | 427 (94) | 12 (27.3) |
| Multi-organ failure | 83 (18.3) | 333 (73.3) | 38 (8.4) |
| Septic shock | 131 (28.9) | 220 (48.4) | 103 (22.7) |
| Respiratory failure | – | 452 (99.6) | 2 (0.4) |
| Renal failure | 104 (22.9) | 292 (64.3) | 58 (12.8) |
| Acute respiratory distress syndrome (ARDS) | 11 (2.4) | 435 (95.8) | 8 (1.8) |
| The age group at high risk of COVID-19: | |||
| Neonates | 335 (73.8) | 75 (16.5) | 44 (9.7) |
| Children | 337 (74.2) | 102 (22.5) | 15 (3.3) |
| Adults | 153 (33.7) | 293 (64.5) | 8 (1.8) |
| Elderly | 8 (1.8) | 439 (96.7) | 7 (1.5) |
| Pregnant women | 149(32.8) | 187(41.2) | 118 (26) |
| Current treatments used for COVID-19 | |||
| Anti-viral agents (Oseltamivir, Lopinavir) | 214 (47.1) | 192(42.3) | 48 (10.6) |
| Anti-bacterial agents | 310 (68.3) | 122 (26.9) | 22 (4.8) |
| Vitamin supplements | 167 (36.8) | 241 (53.1) | 46 (10.1) |
| Hydroxychloroquine | 76 (16.7) | 362(79.7) | 16 (3.5) |
| Hydroxychloroquine and azithromycin | 29(6.4) | 411(90.5) | 14(3.1) |
| Chloroquine | 213 (46.9) | 174(38.3) | 67 (14.8) |
| No definitive treatment yet | 52(11.5) | 395(87) | 7(1.5) |
Abbreviations: SD, standard deviation; COVID-19, coronavirus disease 2019; COPD, chronic obstructive pulmonary disease.
Participants Frequency and Mean Scores of Practices for COVID-19 (n=454)
| People Who Should Be Kept in the Home Quarantine | No N (%) | Yes N (%) | Do Not Know N (%) |
|---|---|---|---|
| Anyone who had recently returned from international travel without symptoms | 10(2.2) | 444(97.8) | – |
| Any person without symptoms had contact with a patient with COVID-19 | 26(5.7) | 428(94.3) | – |
| Anyone who had recently returned from international travel and has symptoms | 230(50.7) | 221(48.6) | 3(0.7) |
| Anyone with flu-like symptoms | 203(44.7) | 246(54.2) | 5(1.1) |
| Anyone who works in a hospital has confirmed cases of COVID-19 | 124(27.3) | 317(69.8) | 13(2.9) |
| Incidence of acute respiratory infection without other causes that fully explain the clinical symptoms | 219(48.2) | 222(48.9) | 13(2.9) |
| Being in close contact with a confirmed case of COVID-19 | 82(18) | 364(80.2) | 8(1.8) |
| Mean ±SD, (range) | 5.0 ± 1 (1–7) | ||
| Indications for RT-PCR test | |||
| Any person without symptoms who had contact with COVID-19 patients. | 360(79.3) | 89(19.6) | 5(1.1) |
| Anyone who had recently returned from international travel without symptoms | 389(85.7) | 62(13.7) | 3(0.7) |
| Anyone who had recently returned from international travel and has symptoms | 71(15.6) | 380(83.7) | 3(0.7) |
| Being in close contact with someone who had traveled over the past 14 days | 350(77.1) | 99(21.8) | 5(1.1) |
| Anyone with flu-like symptoms | 167(36.8) | 280(61.7) | 7(1.5) |
| Anyone who works in a hospital that has confirmed cases of COVID-19 | 311(68.5) | 131(28.9) | 12(2.6) |
| Incidence of acute respiratory infection without other causes that fully explain the clinical symptoms | 75(16.5) | 366(80.6) | 13(2.9) |
| Mean ±SD, (range) | 5.4 ± 1.4 (1–7) | ||
| Methods of self-protection from COVID-19 in work | |||
| Stop shaking hands and kissing | 3(0.7) | 451(99.3) | – |
| Frequent hand washing | 8(1.8) | 446(98.2) | – |
| Wearing gloves all the time | 162(35.7) | 283(62.3) | 9(2) |
| Wear a face mask all the time | 154(33.9) | 290(63.9) | 10(2.2) |
| Wear a highly effective face mask like (N95) | 54(11.9) | 394(86.8) | 6(1.3) |
| Avoid contact with eyes, nose, or mouth | 3(0.7) | 447(98.4) | 4(0.9) |
| Avoid crowded places in the hospital (elevators, restaurants) | 3(0.7) | 447(98.4) | 4(0.9) |
| Mean ±SD, (range) | 6.1 ± 1.1 (3–7) | ||
| If I suspect myself with COVID-19, I will do the followings | |||
| Cover mouth and nose while coughing | 4(0.9) | 450(99.1) | – |
| Seek medical attention right away even if the symptoms are mild | 73(16.1) | 376(82.8) | 5(1.1) |
| Isolate myself and ask for sick leave | 39(8.6) | 410(90.3) | 5(1.1) |
| Take antibiotics | 402(88.5) | 43(9.5) | 9(2) |
| Take some herbal medicine | 329(72.5) | 108(23.8) | 17(3.7) |
| I wear a face mask all the time to protect others | 17(3.7) | 433(95.4) | 4(0.9) |
| Frequent cleaning of household surfaces and workplaces | 6(1.3) | 446(98.2) | 2(0.4) |
| Stop any kind of gatherings, activities or social events | – | 449(98.9) | 5(1.1) |
| I take certain medications such as antipyretics and cough medicines | 81(17.8) | 360(79.3) | 13(2.9) |
| Request a test | 29(6.4) | 423(93.2) | 2(0.4) |
| Nothing, just wait | 414(91.2) | 29(6.4) | 11(2.4) |
| Mean ±SD, (range) | 9.9 ± 1.1 (5–11) | ||
Abbreviations: SD, standard deviation; COVID-19, coronavirus disease 2019.
Frequency of Participants Attitudes Toward COVID-19 (n=454)
| Statements | Agree, n (%) |
|---|---|
| I think COVID-19 is a serious health issue if it spreads to the society | 435 (95.8) |
| I think COVID-19 is a more serious health issue when compared to seasonal flu | 387 (85.2) |
| I think the cure rate of COVID-19 is high | 399 (87.9) |
| I think that the elderly and patients with comorbidities have more risk of death from COVID-19 than others | 446 (98.2) |
| I think physicians have an important role in educating patients and members of the community about the prevention measures against COVID-19 | 444 (97.8) |
| In case of an outbreak, all physicians of various specialties should have a vital role. | 377 (83.1) |
| Access to the latest reports and studies from the World Health Organization is necessary to increase awareness about COVID-19 disease | 445 (98) |
| I feel worried about being infected with COVID-19 while dealing with patients in my workplace: | 334 (73.6) |
| I will refrain from dealing with COVID-19-suspected patients | 97 (21.4) |
| Score of attitudes mean±SD, range | 41.5±33, (21–45) |
Abbreviations: SD, standard deviation; COVID-19, coronavirus disease 2019.
Basic Knowledge and Attitudes Toward COVID-19 by Participants Characteristics (n=454)
| Variables | Basic Knowledge Mean±SD | P-value | Attitudes Mean±SD | p-value |
|---|---|---|---|---|
| Age(years) | ||||
| 22–35 | 4.4±0.9 | 0.7907 | 41.0±3.5 | 0.0022 |
| 36–50 | 4.4±0.8 | 41.9±2.9 | ||
| >50 | 4.5±0.8 | 42.5±2.4 | ||
| Gender | ||||
| Male | 4.4±0.9 | 0.4632 | 41.5±3.2 | 0.9829 |
| Female | 4.4±0.8 | 41.5±3.3 | ||
| Professional degree | ||||
| Consultant | 4.6±0.8 | 0.0315 | 42.3±2.8 | 0.0065 |
| Specialist | 4.4±0.8 | 41.4±3.2 | ||
| Resident | 4.4±0.9 | 41.3±3.4 | ||
| Intern | 4.3±0.9 | 40.6±3.8 | ||
| Health-care sector | ||||
| Public | 4.2±0.9 | 0.0137 | 41.5±3.4 | 0.7236 |
| Military | 4.6±0.8 | 41.4±2.6 | ||
| University | 4.6±0.8 | 41.7±3.3 | ||
| Private | 4.4±0.8 | 41.2±3.3 | ||
| Living Area | ||||
| Urban | 4.4±0.8 | 0.2606 | 41.4±3.3 | 0.1344 |
| Rural | 4.3±0.9 | 42.4±2.9 | ||
| Experience (years) | ||||
| <5 | 4.4±0.9 | 0.5923 | 41.2±3.4 | 0.0077 |
| 5–9 | 4.4±0.9 | 40.9±3.6 | ||
| 10–14 | 4.4±0.7 | 42.1±2.6 | ||
| >15 | 4.5±0.8 | 42.3±2.8 | ||
| Monthly Income(JD) | ||||
| <500 | 4.3±0.9 | 0.1161 | 40.6±3.2 | 0.0195 |
| 500–1000 | 4.3±0.9 | 41.8±3.1 | ||
| >1000 | 4.5±0.8 | 41.4±3.5 |
Abbreviations: SD, standard deviation; JD, Jordanian Dinar.