Literature DB >> 33994805

Risk of COVID-19 Infection and Associated Factors Among Healthcare Workers: A Cross-Sectional Study at Eka Kotebe Treatment Center in Ethiopia.

Hawi Hussen1, Zewdie Aderaw Alemu2.   

Abstract

BACKGROUND: Healthcare worker-associated COVID-19 infection is a worldwide problem. The magnitude of exposure risk to COVID-19 infections in Ethiopia is rapidly increasing following its spread in the country. However, studies about the risk of COVID-19 infection among healthcare workers and factors associated with risk of COVID-19 infection are lacking in Ethiopia.
OBJECTIVE: The study investigated level of risk of COVID-19 infection and associated factors among healthcare workers at Eka Kotebe COVID-19 treatment center.
METHODS: A facility-based cross-sectional study was conducted from September to October 2020 to determine risk of COVID-19 infection and associated factors at Eka Kotebe COVID-19 treatment center. In total, 318 healthcare workers participated in the study. Data was analyzed using SPSS version 25. A binary logistic regression model was used to evaluate the risk of COVID-19 infection among healthcare workers.
RESULTS: A total of 243 (76%) healthcare workers had a high exposure risk of COVID-19 infection. Department of healthcare workers, ICU department workers [AOR: 6.545, 95% CI; (1.79-23.97)], long working hours [AOR: 9.224, 95% CI; (2.00-42.61)], inadequate supply of PPE [AOR: 0.318, 95% CI; (0.14-0.75)], lack of access to alcohol-based hand rub [AOR: 0.093, 95% CI; (0.01-0.98)], providing care within one meter of COVID-19 patients [AOR: 20.633, 95% CI; (3.88-109.76)], and direct contact with an environment in which a COVID-19 patient received care [AOR: 9.600, 95% CI; (1.05-84.50)] were found to be risk factors for COVID-19 infection.
CONCLUSION: Healthcare workers face a high risk of COVID-19 infection while providing care for COVID-19 patients. Proper use and adequate supply of PPE and the implementation of basic infection prevention and control with frequent protocol revision and strict supervision are crucial to limit exposure risk to COVID-19 among healthcare workers.
© 2021 Hussen and Alemu.

Entities:  

Keywords:  Addis Ababa; Africa; COVID-19; Ethiopia; SARS-COV-2; coronavirus; exposure risk factors; healthcare workers

Year:  2021        PMID: 33994805      PMCID: PMC8112871          DOI: 10.2147/IJGM.S301518

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Background

A new coronavirus that previously has not been identified in humans emerged in Wuhan city, China, on 31 December 2019. The World Health Organization (WHO) named the disease caused by this virus COVID-19 (for coronavirus disease identified in 2019). 1,2 The virus has spread to almost every country, resulting in more than 117 million COVID-19 cases worldwide, causing more than 2.61 million deaths as of March 2021. The first case of COVID-19 on the continent of Africa was reported on 14 February 2020, and by 13 May cases had been reported in all 54 countries. On 13 March 2020, the epidemic reached Ethiopia and it had already infected more than 168,335 people and caused 2451 deaths as of March 2021. 3–6 The pandemic has broken the healthcare system and filled hospitals and emptied public spaces in areas with sustained transmission of COVID-19. The damage to health, wealth and wellbeing has already been enormous. 7,8 COVID-19 is a serious global health problem costing the lives of many people, including healthcare workers (HCWs). HCWs accounted for a large proportion of COVID-19 infections during the pandemic of early 2020. COVID-19 cases in HCWs have been reported since early in the outbreak. At the beginning of the outbreak in Wuhan region, China, 1716 HCWs were infected by COVID-19. 9 Reports indicate that at least 1311 HCWs tested positive for COVID-19 infection in Ethiopia as of 17 September 2020.10 A crucial challenge for the country is the very low ratio of HCWs per 10,000 patients, as well as a weak healthcare system. Nowadays, COVID-19 is the most serious threat to HCWs and causes the highest level of anxiety among them in many countries, including Ethiopia. Contact, potential droplets and numerous high risk unprotected exposures are factors that may place HCWs at higher risk of infection.11 Factors fueling the exposure risk among HCWs are high work load, lack of PPE supplies and the work environment.12 HCWs are vital resources; their health and safety are crucial. Measures to mitigate HCWs' exposure risk to COVID-19 infection support the effort to combat the pandemic and protect the health system. HCWs' exposure risk to COVID-19 is a current problem. Comprehensive analysis of risk of COVID-19 infection among HCWs and its risk factors are lacking in Ethiopia. The study, therefore, investigated exposure risk of COVID-19 infection among HCWs and factors associated with risks of COVID-19 infection.

Methods and Materials

Study Area and Period

The research was conducted in Eka Kotebe COVID-19 treatment center, the first COVID-19 treatment center in Ethiopia. It is located in Yeka sub-city, in Addis Ababa city administration. It is a large medical facility, with a 600-bed capacity. It was inaugurated in September 2019. With the outbreak of COVID-19 the hospital underwent thorough reconstruction and was transformed into a COVID-19 treatment center where COVID-19 patients are quarantined and treated. The study was carried out in the center from September to October 2020.

Study Design

A facility-based cross-sectional study design was conducted among 318 HCWs working in the treatment center.

Participants

The study population includes physicians, nurses, pharmacists, laboratory personnel, health officers, psychiatrists, environmental health officers, anesthesiologists and support staff (cleaners, spray man, porters) working at Eka Kotebe COVID-19 treatment center. The participants were selected from each department of the treatment center using a proportionate stratified random sampling technique.

Measurements

The dependent variable was level of exposure risk of HCWs. The independent variables include demographic factors (age, sex, work experience, department, work hours, pre-existing health condition, HCW role and education level), exposure type factors (providing care within one meter, performing or assisting AGPs, direct contact with an environment in which a COVID-19 patient received care and prolonged face-to-face exposure) and IPC measure factors (PPE availability and use, training, availability of alcohol-based hand rub and following the recommended IPC measures.

Data Collection Procedures and Instruments

A structured questionnaire was administered by an interviewer. COVID-19 infection exposure risk level was assessed based on WHO and CDC risk assessment tools. According to the criteria, a “high exposure risk to COVID-19” was defined as HCWs performing at least one of the following activities: (1) provide direct care to a confirmed COVID-19 patient; (2) had face-to-face contact (within 1 meter) with a confirmed COVID-19 patient in a healthcare facility; (3) were present when any AGP was performed on the patient; and (4) had direct contact with the environment in which a confirmed COVID-19 patient was cared for without appropriate PPE. “Low exposure risk to COVID-19” was defined as HCWs who do not fulfill the above criteria.13,14

Data Collectors’ Selection and Training

Data was collected by three BSc nurses and supervision was conducted by the principal investigator. Data collectors were trained by the principal investigator on the study instrument, consent form and data collection procedure.

Data Quality Management

Data collection tools pre-tested whether the acceptable level of internal reliability exists, to assure validity. The questionnaire was designed based on WHO and CDC HCWs' COVID-19 exposure risk assessment tool. Data collectors were trained and regularly supervised and the principal investigator made sure all the necessary data was properly collected and checked for completeness and consistency of filled questionnaire.

Data Processing and Analysis

Data were cleaned, coded and entered, and all statistical analyses were performed using SPSS version 25.0. Tables were used to summarize the frequencies and proportions of the variables. A binary logistic regression model was used to evaluate risk of COVID-19 infection. A bivariate followed by a multivariate regression model was employed to evaluate the association between risk factors and risk of COVID-19 infection. Variables significant at a p-value of 0.05 in the bivariate analysis were selected for the multivariate regression analysis. An odds ratio (OR) with a 95% confidence interval (CI) was used to report the association between exposure risk and risk factors. A p-value of 0.05 for the models fitted separately was considered statistically significant. After the logistic regression model was fitted, the overall goodness of fit of the model tested the adequacy of the model.

Ethical Considerations

The study was conducted in compliance with the Declaration of Helsinki. The study received ethical approval from the Eka Kotebe COVID-19 treatment center review board (Reference number: Eka/150-5–31). Written informed consent was obtained from study participants. Participants were also assured that, if they agreed to participate, they would have the right to withdraw from the study at any time. Only those individuals who volunteered to participate in the research were approached to complete the questionnaires. Confidentiality and anonymity were maintained.

Results

Demographic Characteristics of the Respondents

Overall, the mean (SD) age was 28.1 (5.1) years. Among the 318 HCWs, 243 (76.4%) were between the age of 25–34 years, 176 (55%) were male and 142 (45%) were female. Fifty-one (16%) were medical doctors, 157 (49.4%) were nurses, 13 (4.1%) were health officers, 11 (3.5%) were pharmacists and the remaining 86 (27.0%) were laboratory personnel, anesthetists, X-ray technicians, biomedical engineers, environmental health officers, psychiatrists, psychologists, porters, the spray man and cleaners (Table 1).
Table 1

Demographic Characteristics of Healthcare Workers at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020 (N=318)

CharacteristicsFrequency (n)Percent (%)
Mean age (SD)28.1(5.1)
Age
 <25 Years4413.8
 25–34 Years24376.4
 35–44 Years257.9
 >45 Years61.9
Sex
 Male17655.3
 Female14244.7
Years of experience
 Less than 2 years9630.2
 2–5 years18457.8
 >5 years3812
Role of healthcare personnel
 Medical doctor5116.0
 Nurse15749.4
 Health officer134.1
 Pharmacist113.5
 Other ǂ8627.0
Working department
 Inpatient17655.3
 Intensive care unit6119.2
 Laboratory61.9
 Pharmacy175.3
 Other5717.9
Work hours per day
 ≤8 hours29592.8
 >8 hours237.2
Educational level
 Primary/ Secondary4112.9
 Diploma226.9
 MD/BSC23874.8
 Specialty/ MSC/MPH175.3
Underlying disease or pre-existing condition(s)
 Yes165.0
 No30295

Notes: ǂPsychiatrist, nutritionist, midwife, laboratory personnel, x-technician, biomedical engineer, environmental health officer, anesthetist, social worker, clinical psychologist, porter, data manager, cleaner and spray man. ⸸Psychiatric department, operation room, radiology, management team and IPC department.

Demographic Characteristics of Healthcare Workers at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020 (N=318) Notes: ǂPsychiatrist, nutritionist, midwife, laboratory personnel, x-technician, biomedical engineer, environmental health officer, anesthetist, social worker, clinical psychologist, porter, data manager, cleaner and spray man. ⸸Psychiatric department, operation room, radiology, management team and IPC department.

Risk of COVID-19 Infection Characteristics

Findings demonstrated that HCWs have a high exposure risk of COVID-19 infection. Over three-quarters (76%) of HCWs had a high risk of exposure to COVID-19 infection.

Demographic Factors

Table 2 shows crude statistics relating to the demographic risk factors for COVID-19 infection among HCWs.
Table 2

Crude Statistics Relating to Demographic Risk Factors for COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020

FactorsRiskCOR (95% CI)p value
High (%)Low (%)
Age
 <2534(77.3)10(22.7)3.40(0.592–19.541)0.170
 25–34192(79)51(21)3.63(0.711–18.515)0.121
 35–4414(56)11(44)1.27(0.214–7.581)0.791
 >453(50)3(50)1.00
Sex
 Male134(76.1)42(23.9)1.035(0.615–1.744)0.896
 Female109(76.8)33(23.2)1.00
Years of experience
 <2 years67(74.4)23(25.6)1.515(0.667–3.442)0.321
 2–5 years133(78.7)36(21.3)1.933(0.906–4.125)0.088
 >5 years25(65.8)13(34.2)1.00
Role of healthcare workers
 Medical doctor44(86.3)7(13.7)4.746(1.921–11.728)0.001***
 Nurse132 (84.1)25 (15.9)3.987(2.179–7.295)0.000 ***
 Health officer11(84.6)2 (15.4)4.153(0.868–19.881)0.075
 Pharmacist7(63.6)4 (36.4)1.321(0.360–4.851)0.674
 Otherǂ49(57.0)37(43.0)1.00
Working department
 Inpatient144(81.8)32 (18.2)3.044(1.584–5.850)0.001***
 Intensive care unit52 (85.2)9(14.8)3.908(1.615–9.457)0.002***
 Laboratory5(83.3)1 (16.7)3.382(0.371–30.872)0.280
 Pharmacy7 (41.2)10 (58.8)0.474(0.157–1.424)0.183
 Other34(59.6)23 (40.4)1.00
Work hours per day
 ≤8 hours220 (94.8)12 (5.2)1.000.007***
 >8 hours58 (84.1)11(15.9)3.309(1.395–7.884)
Educational level
 Primary/Secondary18(43.9)23(56.1)0.326(0.097–1.096)0.070
 Certificate/Diploma14 (63.6)8(36.4)0.729(0.188–2.834)0.648
 MD/BSC199 (83.6)39(16.4)2.126(0.709–6.376)0.178
 Specialty/ MSC/MPH12 (70.6)5(29.4)1.00
Underlying disease or pre-existing condition(s)
 Yes10(62.5)6(37.5)0.494(0.173–1.406)0.186
 No233(77.2)69(22.8)1.00

Notes: Significant at: ***p ≤0.01, 1=Reference category. ǂPsychiatrist, nutritionist, midwife, laboratory personnel, x-technician, biomedical engineer, environmental health officer, anesthetist, social worker, clinical psychologist, porter, data manager, cleaner and spray man. ⸸Psychiatric department, operation room, radiology, management team and IPC department.

Crude Statistics Relating to Demographic Risk Factors for COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020 Notes: Significant at: ***p ≤0.01, 1=Reference category. ǂPsychiatrist, nutritionist, midwife, laboratory personnel, x-technician, biomedical engineer, environmental health officer, anesthetist, social worker, clinical psychologist, porter, data manager, cleaner and spray man. ⸸Psychiatric department, operation room, radiology, management team and IPC department. The role, department and working hours of HCWs were identified as the major demographic risk factors for COVID-19 infection. Medical doctors were 5 times more exposed to COVID-19 infection than other HCWs [OR: 4.746, 95% CI; (1.92–11.73)] and nurses were 4 times more exposed to COVID-19 infection than other HCWs [OR: 3.987, 95% CI; (2.18–7.30)]. Healthcare workers working in inpatient and intensive care units were 3 times [OR: 3.044, 95% CI; (1.58–5.85)] and 4 times [OR: 3.908, 95% CI; (1.62–9.46)] more exposed to COVID-19 infection than other HCWs. Working hours was another variable that showed an association with risk of COVID-19 infection. HCWs who worked more than eight hours per day were 3 times more exposed to COVID-19 infection than those who worked for eight hours or fewer [OR: 3.309, 95% CI; (1.40–7.88)] (Table 2).

IPC Factors

Table 3 shows crude statistics relating to IPC factors as COVID-19 infection risks among HCWs. IPC factor variables include availability of PPE, availability of alcohol-based hand rub at the point of care and following the recommended hand hygiene procedure showed significant associations with risk of COVID-19 infection in the analysis. Those HCWs who did not have an adequate supply of PPE were 70% [OR: 0.295, 95% CI; (0.16–0.54)] more likely to be exposed to COVID-19 infection than those who had an adequate supply of PPE. HCWs who did not have access to alcohol-based hand rub at the point of care were 80% [OR: 0.199, 95% CI; (0.05–0.86)] more likely to be exposed to COVID-19 infection than those who had access to alcohol-based hand rub (Table 3).
Table 3

Crude Statistics Relating to IPC Risk Factors for COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020

FactorsRiskCOR (95% CI)p value
High (%)Low (%)
Training
 Yes216 (77.7)62(22.3)1.887(0.908–3.922)0.089
 No24 (64.9)13(35.1)1.00
Availability of PPE
 Yes31 (55.4)25(44.6)0.295(0.160–0.544)0.000***
 No210 (80.8)50(19.2)1.00
PPE use
 Never7(87.5)1(12.5)2.500(0.298–20.957)0.398
 Rarely7(100)0(0)5769(0.000–0.000)0.999
 Occasionally14(73.7)5(26.3)1.000(0.339–2.954)1.000
 Most of the time101(77.7)29(22.3)1.244(0.719–2.153)0.436
 Always112(73.7)40(26.3)1.00
Availability of alcohol-based hand rub
 Yes208(74.3)72(25.7)0.199(0.046–0.856)0.030**
 No29 (93.5)2(6.5)1.00
Hand hygiene
 Never27(77.1)8(22.9)1.572(0.658–3.760)0.309
 Rarely32(94.4)3(8.6)4.970(1.438–17.175)0.011**
 Occasionally20 (80.0)5(20.0)1.864(0.654–5.313)0.244
 Most of the time76(80.8)18(19.2)1.967(1.044–3.706)0.036**
 Always88(68.2)41(31.8)1.00

Note: Significant at: **p ≤0.05, ***p ≤0.01, 1=Reference category.

Crude Statistics Relating to IPC Risk Factors for COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020 Note: Significant at: **p ≤0.05, ***p ≤0.01, 1=Reference category.

Exposure Type Factors

Table 4 presents crude statistics relating to exposure type risk factors for COVID-19 infection among HCWs.
Table 4

Crude Statistics Relating tf Exposure Type Risk Factors for COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020

FactorsRiskOR (95% CI)p value
High (%)Low (%)
Within one meter
 Yes101 (98.1)2(1.9)26.158(6.27–109.111)0.000***
 No139(65.9)72(34.1)1.00
Perform AGPs
 Yes58 (98.3)1(1.7)23.264(3.163–171.100)0.002***
 No182(71.4)73(28.6)1.00
Direct contact-environment
 Yes79 (98.8)1(1.2)35.865(4.896–262.732)0.000***
 No163(67.4)74(30.6)1.00
Prolonged face-to-face exposure
 Yes152 (86.4)24(13.6)3.589(2.069–6.225)0.000***
 No90(63.8)51(36.2)1.00

Note: Significant at: ***p ≤0.01, 1=Reference category.

Crude Statistics Relating tf Exposure Type Risk Factors for COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020 Note: Significant at: ***p ≤0.01, 1=Reference category. Healthcare workers who were within one meter of a COVID-19 patient were 26 times [OR: 26.158, 95% CI; (6.27–109.11)] more likely to be exposed to COVID-19 infection than those HCWs who were not within one-meter distance of a COVID-19 patient. HCWs who performed or assisted with any aerosol generating procedure (AGP) or were present in the room when one was performed were 23 times [OR: 23.264, 95% CI; (3.16–171.10)] more likely to be exposed to COVID-19 infection than those who did not perform or assist AGPs or were present in the room when one was performed. HCWs who had direct contact with an environment in which a COVID-19 patient received care (eg, bed, linen, medical equipment, frequently touched surfaces and bathroom) were 36 times [OR: 35.865, 95% CI; (4.90–262.73)] more likely to be exposed to COVID-19 infection than those who did not have such direct contact. HCWs who had prolonged face-to-face exposure (>15 minute) were 4 times [OR: 3.589, 95% CI; (2.07–6.23)] more likely to be exposed to COVID-19 infection than those who did not have prolonged face-to-face exposure (>15 minute) (Table 4).

Multivariate Logistic Regression Analysis

Multivariate binary logistic regression analysis showed that HCWs' department, working hours, availability of PPE, availability of alcohol-based hand rub, providing care within one meter distance and direct contact with an environment in which a COVID-19 patient received care were significantly associated with the risk of COVID-19 infection. Regarding HCWs' department, those working in the ICU were 7 times [AOR: 6.545, 95% CI; (1.79–23.97)] more likely to be exposed to COVID-19 infection than those working in other departments. HCWs working for more than 8 hours per day were 9 times [AOR: 9.224, 95% CI; (2.00–42.61)] more likely to be exposed to COVID-19 infection than those who work for 8 hours or fewer. HCWs with an inadequate supply of PPE were 68.2% [AOR: 0.318, 95% CI; (0.14–0.75)] more likely to be exposed to COVID-19 infection than those who had an adequate supply of PPE. HCWs without access to alcohol-based hand rub at the point of care were 90.7% [AOR: 0.093, 95% CI; (0.01–0.98)] more likely to be exposed to COVID-19 infection than those who had access to alcohol-based hand rub. HCWs who provided care within one meter of a COVID-19 patient were 21 times [AOR: 20.633, 95% CI; (3.88–109.76)] more likely to be exposed to COVID-19 infection than those not working within one meter of a COVID-19 patient. HCWs who had direct contact with an environment in which a COVID-19 patient received care (eg, bed, linen, medical equipment, frequently-touched surfaces, bathroom) were 10 times [AOR: 9.600, 95% CI; (1.05–84.50)] more likely to be exposed to COVID-19 infection than those who did not have direct contact with such an environment (Table 5).
Table 5

Multivariate Logistic Regression Analyses of the Relative Effect of Demographic, IPC and Types of Exposure Factors of COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020

VariablesRiskCOR (95% CI)AOR (95% CI)
HighLow
Role of HCWs
 Medical doctor4474.746(1.921–11.728)***3.174(0.928–10.856)
 Nurse132253.987(2.179–7.295)***1.233(0.503–3.021)
 Health officer1124.153(0.868–19.881)1.452(0.212–9.938)
 Pharmacist741.321(0.360–4.851)2.139(0.141–32.381)
 Other49371.001.00
Working department
 Inpatient144323.044(1.584–5.850) ***2.772(0.962–7.988)
 Intensive care unit5293.908(1.615–9.457) ***6.545(1.787–23.966) **
 Laboratory513.382(0.371–30.872)1.069(0.054–21.204)
 Pharmacy7100.474(0.157–1.424)0.288(0.027–3.032)
 Other34231.00
Work hours per day
 ≤8 hours220121.001.00
 >8 hours58113.309(1.395–7.884) ***9.224(1.997–42.613)***
Availability of PPE
 Yes31250.295(0.160–0.544) ***0.318(0.135–0.748) ***
 No210501.001.00
Availability of alcohol–based hand rub
 Yes208720.199(0.046–0.856) **0.093(0.009–0.979) **
 No2921.001.00
One-meter distance
 Yes86126.158(6.27–109.111) ***20.633(3.879–109.755) **
 No153741.001.00
Perform AGPs
 Yes69123.2640(3.163–171.100) ***5.133(0.584–45.125)
 No171741.001.00
Environment: frequently-touched surfaces
 Yes1522435.865(4.896–262.732) ***9.600(1.053–87.494)**
 No90511.001.00
Prolonged face-to-face exposure
 Yes152243.589(2.069–6.225) ***1.561(0.749–3.351)
 No90511.001.00

Note: Significant at: **p ≤0.01, ***p ≤0.001, 1=Reference category.

Multivariate Logistic Regression Analyses of the Relative Effect of Demographic, IPC and Types of Exposure Factors of COVID-19 Infection at Eka Kotebe COVID-19 Treatment Center in Ethiopia, October, 2020 Note: Significant at: **p ≤0.01, ***p ≤0.001, 1=Reference category.

Discussion

In this study, the overall level of exposure risk to COVID-19 infection among HCWs was 76%. Our findings complement earlier data in America showing that nearly 55% of HCWs faced exposure risk in the healthcare setting.15 Based on 48 publications reviewed, the proportion of HCWs who have tested positive for COVID-19 varies from 0% to 52%.16 HCWs who work in the ICU department were 7 times more likely to be exposed to COVID-19 infection than those in other departments. This result complements previous research indicating that the high risk group comprises those conducting interventional medical or surgical procedures that generate respiratory aerosols, including those in the respiratory department, infection department, ICU and surgical department, who were 2 times more likely to develop COVID-19 compared with those working in low-risk clinical departments.11 This may be due to workload, long work hours and providing direct care to patients. In this study HCWs who work for more than 8 hours per day were 9 times more likely to be exposed to COVID-19 infection than those who work for 8 hours or fewer per day, which is consistent with a study conducted in China that showed longer hours to be a risk factor for COVID-19 infection.11 Other studies 17,18 also identify work overload, long time exposure to infected patients, working under pressure and longer duty hours to be risk factors for COVID-19 infection. Those HCWs who did not have an adequate supply of PPE were 68.2% more likely to be exposed to COVID-19 infection than those who had an adequate supply of PPE. Similar to our finding, previous research has proven that an inadequate supply of PPE increases risk of COVID-19 infection. This result was supported by a prospective cohort study done among HCWs in the UK and America. Inadequate PPE availability was associated with a subsequent 26% increased risk of COVID-19.15 An inadequate supply of PPE was shown to be one of the risk factor for HCWs with a high incidence of COVID-19 infections.19–21 HCWs who did not have access to alcohol-based hand rub at the point of care were 90.7% more likely to be exposed to COVID-19 infection than those who had access to alcohol-based hand rub. This finding is consistent with the results of other research.11,22,23 HCWs who were within one meter of a COVID-19 patient were 21 times more likely to be exposed to COVID-19 infection than those who were not within one meter of a COVID-19 patient. Aerosol (droplets from the patient’s mouth or nose) spread from an infected patient to the HCW and the distance of the source to the recipient influences the likelihood of infection.24 HCWs who have direct contact with an environment in which a COVID-19 patient received care were 10 times more likely to be exposed to COVID-19 infection than those who did not have such direct contact. Similarly, a retrospective analysis18 and a rapid review25 revealed a lack of established practices of infection prevention and control and direct contact with contaminated surfaces as important risk factors for COVID-19.

Conclusions

The study pointed out that HCWs are exposed to a high risk of COVID-19 infection at the treatment center. Working in the ICU department, long working hours, inadequate supply of PPE, lack of access to alcohol-based hand rub at the point of care, providing care within one meter of a COVID-19 patient and direct contact with an environment in which a COVID-19 patient received care were risk factors for COVID-19 infection. Proper use and adequate supply of PPE and the implementation of basic infection prevention and control measures with frequent protocol revision and strict supervision are essential to minimize exposure risk of HCWs to COVID-19 infection.
  6 in total

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2.  Screening for Methicillin-resistant Staphylococcus aureus Carriage on the Hands of Healthcare Workers: An Assessment for Hand Hygiene Practices.

Authors:  Anuradha Sharma; Jitu M Kalita; Vijaya L Nag
Journal:  Indian J Crit Care Med       Date:  2019-12

Review 3.  Working through the COVID-19 outbreak: Rapid review and recommendations for MSK and allied heath personnel.

Authors:  Aparna Viswanath; Puneet Monga
Journal:  J Clin Orthop Trauma       Date:  2020-03-26

4.  Coronavirus Disease 2019 Infection Among Medical Staff in Wuhan: A Retrospective Study From a Single Center.

Authors:  Hongyun Gong; Hongyan Feng; Lushi Yu; Ning Tu; Tao Wang; Yi Yao; Yuehua Wei; Yi Wang; Weiguo Hu; Xiangpan Li; Zhenming Fu; Xuhong Song; Qibin Song; Lihong Bu
Journal:  Chest       Date:  2020-05-27       Impact factor: 10.262

5.  Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China.

Authors:  J Wang; M Zhou; F Liu
Journal:  J Hosp Infect       Date:  2020-03-06       Impact factor: 3.926

6.  Transmission of COVID-19 to Health Care Personnel During Exposures to a Hospitalized Patient - Solano County, California, February 2020.

Authors:  Amy Heinzerling; Matthew J Stuckey; Tara Scheuer; Kerui Xu; Kiran M Perkins; Heather Resseger; Shelley Magill; Jennifer R Verani; Seema Jain; Meileen Acosta; Erin Epson
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-04-17       Impact factor: 17.586

  6 in total
  2 in total

1.  COVID-19 infection among health care workers: A hospital based study from Indian state of Meghalaya.

Authors:  Md Jamil; Prasanta K Bhattacharya; Bhupen Barman; Noor Topno; Naku Narang; Pranjal Phukan; Biswajit Dey; Bishwajeet Saikia; Gwenette Andrea War; Yasmeen Hynniewta
Journal:  J Family Med Prim Care       Date:  2022-05-14

2.  Disease Severity and Comorbidities among Healthcare Worker COVID-19 Admissions in South Africa: A Retrospective Analysis.

Authors:  Edith Ratshikhopha; Munyadziwa Muvhali; Nisha Naicker; Nonhlanhla Tlotleng; Waasila Jassat; Tanusha Singh
Journal:  Int J Environ Res Public Health       Date:  2022-05-02       Impact factor: 4.614

  2 in total

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