| Literature DB >> 30984654 |
Saad Al-Amri1, Rishi Bharti2, Safar A Alsaleem2, Hassan M Al-Musa2, Shweta Chaudhary3, Ayub A Al-Shaikh1.
Abstract
BACKGROUND: Human coronaviruses (hCoV) usually cause mild to moderate upper respiratory tract illnesses. The novel coronavirus (nCoV), or Middle East respiratory syndrome coronavirus (MERS-CoV), is a particular strain different from any other known hCoV with the possibility of human and also zoonotic transmissions. The aim of the study to assess primary health care (PHC) physicians' knowledge and adherence regarding Saudi Ministry of Health guidelines regarding MERS-CoV.Entities:
Keywords: Continuous medical education; General physician and Primary Health Center; Middle East respiratory syndrome coronavirus
Year: 2019 PMID: 30984654 PMCID: PMC6436268 DOI: 10.4103/jfmpc.jfmpc_336_18
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Personal characteristics of study sample
| Personal characteristics | No. | Percentage |
|---|---|---|
| Age groups | ||
| <30 years | 32 | 37.6 |
| 30-40 years | 42 | 49.4 |
| >40 years | 11 | 12.9 |
| Gender | ||
| Male | 52 | 61.2 |
| Female | 33 | 38.8 |
| Nationality | ||
| Saudi | 40 | 47.1 |
| Non-Saudi | 45 | 52.9 |
| Qualification | ||
| MBBS | 36 | 42.4 |
| Diploma | 15 | 17.6 |
| Master | 16 | 18.8 |
| Doctorate/Fellowship | 18 | 21.2 |
| Position | ||
| General practitioner | 53 | 62.4 |
| Specialist | 23 | 27.1 |
| Consultant | 9 | 10.6 |
| Experience in primary care | ||
| <5 years | 42 | 49.4 |
| 5+ years | 43 | 50.6 |
| Attending CME on MERS-CoV | ||
| Yes | 18 | 21.2 |
| No | 67 | 78.8 |
| Sources of knowledge about MERS-CoV | ||
| Textbooks | 5 | 5.9 |
| Internet websites | 47 | 55.3 |
| Lectures | 26 | 30.6 |
| Journals | 21 | 24.7 |
Participants’ correct responses regarding knowledge statements about MERS-CoV
| Statement | No. | Percentage |
|---|---|---|
| The highest incidence for cases of MERS-CoV is in Africa | 63 | 74.1 |
| MERS-CoV does not infect animals | 64 | 75.3 |
| In Saudi Arabia, most cases of MERS-CoV infection were diagnosed during the Hajj season | 51 | 60.0 |
| Many of the outbreaks of MERS-CoV have been linked to overcrowding | 53 | 62.4 |
| A case of MERS-CoV infection can be suspected when having unexplained febrile illness with recent exposure to camels or camel products | 82 | 96.5 |
| Camels are the most likely reservoir for MERS-CoV infection | 82 | 96.5 |
| Suspected cases of MERS-CoV should have nasopharyngeal swabs or sputum | 85 | 100.0 |
| Protected exposure is the contact within 15 m with a patient even without wearing any personal protective equipment | 28 | 32.9 |
| Vaccination is the most important available strategy to prevent MERS-CoV infection | 62 | 72.9 |
| Broad spectrum antibiotics can be administered to protect against MERS-CoV infection | 72 | 84.7 |
| Hand hygiene is an important standard precaution for general infection prevention and control | 79 | 92.9 |
| Personal protective equipment should be worn by health care workers upon entry into patient rooms or care areas | 76 | 89.4 |
| Common symptoms of MERS-CoV infection include fever, cough, and dyspnea | 83 | 97.6 |
| Presence of gastrointestinal symptoms excludes MERS-CoV infection | 70 | 82.4 |
| It is not generally recommended to examine asymptomatic contacts | 76 | 89.4 |
| Leukopenia and thrombocytopenia are common laboratory findings among cases of MERS-CoV infection | 76 | 89.4 |
| MERS-CoV has been commonly reported among children | 66 | 77.6 |
| It is not useful to collect specimens other than nasopharyngeal swabs form MERS-CoV patients | 55 | 64.7 |
| MERS-CoV patients should be place in single patient rooms | 79 | 92.9 |
| Case fatality among patients with MERS-CoV infection is less than 10% | 54 | 63.5 |
Participants’ correct responses regarding practice actions about MERS-CoV
| Actions | No. | Percentage |
|---|---|---|
| Reading guidelines about MERS-CoV infection assessment and management | 29 | 34.1 |
| Have you ever seen a case of MERS-CoV infection? | 25 | 29.4 |
| Have you ever diagnosed a case of MERS-CoV infection? | 9 | 10.6 |
| Have you ever treated a case of MERS-CoV infection? | 16 | 18.8 |
| Have you ever referred a case of MERS-CoV infection? | 22 | 25.9 |
| Personal protective equipment to be used when seeing suspected cases of MERS-CoV infection | ||
| Gown | 51 | 60.0 |
| Mask | 80 | 94.1 |
| Gloves | 67 | 78.8 |
| Goggles | 27 | 31.8 |
| Cap | 19 | 22.4 |
| Most important standard precaution that should be applied when seeing a case of MERS-CoV infection | ||
| Taking antibiotics | 0 | 0.0 |
| Hand washing | 85 | 100.0 |
| Most important respiratory precaution to prevent transmission of respiratory infections in PHC setting when seeing a case of MERS-CoV infection | ||
| Masking and separation of suspected MERS-CoV patients | 83 | 97.6 |
| Using gloves | 2 | 2.4 |
| What to do upon exit from the room of a MERS-CoV patient? | ||
| Remove and discard personal protective equipment | 69 | 81.2 |
| Make sure to keep personal protective equipment | 16 | 18.8 |
| What should be done after discharge of a MERS-CoV patient? | ||
| Cleaning and disinfecting all surfaces that were in contact with the patient or may have become contaminated during patient care | 85 | 100.0 |
| Privacy curtains should be removed, placed in a bag in the room, and then transported to be laundered | 45 | 52.9 |
| Burning all patients’ clothes, curtains, and bed coverings | 12 | 14.1 |
Significance (P<0.05)
Participants knowledge grades about MERS-CoV according to their personal characteristics
| Personal characteristics | Poor | Good | Excellent | ||||
|---|---|---|---|---|---|---|---|
| No. | Percentage | No. | Percentage | No. | Percentage | ||
| Age groups | |||||||
| <30 years | 3 | 9.4 | 24 | 75.0 | 5 | 15.6 | |
| 30-40 years | 2 | 4.8 | 23 | 54.8 | 17 | 40.5 | |
| >40 years | 0 | 0.0 | 7 | 63.6 | 4 | 36.4 | 0.173 |
| Gender | |||||||
| Male | 2 | 3.8 | 36 | 69.2 | 14 | 26.9 | |
| Female | 3 | 9.1 | 18 | 54.5 | 12 | 36.4 | 0.330 |
| Nationality | |||||||
| Saudi | 1 | 2.5 | 31 | 77.5 | 8 | 20.0 | |
| Non-Saudi | 4 | 8.9 | 23 | 51.1 | 18 | 40.0 | 0.038 |
| Qualification | |||||||
| MBBS | 2 | 5.6 | 21 | 58.3 | 13 | 36.1 | |
| Diploma | 1 | 6.7 | 9 | 60.0 | 5 | 33.3 | |
| Master | 1 | 6.3 | 11 | 68.8 | 4 | 25.0 | |
| Doctorate/Fellowship | 1 | 5.6 | 13 | 72.2 | 4 | 22.2 | 0.962 |
| Position | |||||||
| General practitioner | 3 | 5.7 | 30 | 56.6 | 20 | 37.7 | |
| Specialist | 0 | 0.0 | 19 | 82.6 | 4 | 17.4 | |
| Consultant | 2 | 22.2 | 5 | 55.6 | 2 | 22.2 | 0.047 |
| Experience in primary care | |||||||
| <5 years | 3 | 7.1 | 30 | 71.4 | 9 | 21.4 | |
| 5+ years | 2 | 4.7 | 24 | 55.8 | 17 | 39.5 | 0.190 |
| Attending CME | |||||||
| Yes | 2 | 11.1 | 6 | 33.3 | 10 | 55.6 | |
| No | 3 | 4.5 | 48 | 71.6 | 16 | 23.9 | 0.011 |
| Sources of knowledge | |||||||
| Textbooks | 1 | 20.0 | 4 | 80.0 | 0 | 0.0 | |
| Internet websites | 2 | 4.3 | 32 | 68.1 | 13 | 27.7 | |
| Lectures | 1 | 3.8 | 12 | 46.2 | 13 | 50.0 | |
| Journals | 4 | 19.0 | 15 | 71.4 | 2 | 9.5 | 0.017 |
Significance (P<0.05)
Participants practice grades about MERS-CoV according to their personal characteristics
| Personal characteristics | Poor | Good | Excellent | ||||
|---|---|---|---|---|---|---|---|
| No. | Percentage | No. | Percentage | No. | Percentage | ||
| Age groups | |||||||
| <30 years | 15 | 46.9 | 15 | 46.9 | 2 | 6.3 | |
| 30-40 years | 16 | 38.1 | 23 | 54.8 | 3 | 7.1 | |
| >40 years | 6 | 54.5 | 5 | 45.5 | 0 | 0.0 | 0.785 |
| Gender | |||||||
| Male | 19 | 36.5 | 30 | 57.7 | 3 | 5.8 | |
| Female | 18 | 54.5 | 13 | 39.4 | 2 | 6.1 | 0.241 |
| Nationality | |||||||
| Saudi | 17 | 42.5 | 18 | 45.0 | 5 | 12.5 | |
| Non-Saudi | 20 | 44.4 | 25 | 55.6 | 0 | 0.0 | 0.047 |
| Qualification | |||||||
| MBBS | 11 | 30.6 | 25 | 69.4 | 0 | 0.0 | |
| Diploma | 7 | 46.7 | 7 | 46.7 | 1 | 6.7 | |
| Master | 7 | 43.8 | 7 | 43.8 | 2 | 12.5 | |
| Doctorate/Fellowship | 12 | 66.7 | 4 | 22.2 | 2 | 11.1 | 0.037 |
| Position | |||||||
| General practitioner | 20 | 37.7 | 32 | 60.4 | 1 | 1.9 | |
| Specialist | 10 | 43.5 | 10 | 43.5 | 3 | 13.0 | |
| Consultant | 7 | 77.8 | 1 | 11.1 | 1 | 11.1 | 0.030 |
| Experience in primary care | |||||||
| <5 years | 22 | 52.4 | 18 | 42.9 | 2 | 4.8 | |
| 5+ years | 15 | 34.9 | 25 | 58.1 | 3 | 7.0 | 0.265 |
| Attending CME | |||||||
| Yes | 3 | 16.7 | 13 | 72.2 | 2 | 11.1 | |
| No | 34 | 50.7 | 30 | 44.8 | 3 | 4.5 | 0.031 |
| Sources of knowledge | |||||||
| Textbooks | 1 | 20.0 | 2 | 40.0 | 2 | 40.0 | |
| Internet websites | 20 | 42.6 | 27 | 57.4 | 0 | 0.0 | |
| Academic lectures | 5 | 19.2 | 18 | 69.2 | 3 | 11.5 | |
| Journals | 11 | 52.4 | 8 | 38.1 | 2 | 9.5 | 0.006 |
| Grades of practice | |||||||
| Poor | 4 | 80.0 | 1 | 20.0 | 0 | 0.0 | |
| Good | 26 | 48.1 | 23 | 42.6 | 5 | 9.3 | |
| Excellent | 7 | 26.9 | 19 | 73.1 | 0 | 0.0 | 0.033 |
Significance (P<0.05)