Literature DB >> 35081425

Risk of COVID-19 in healthcare workers working in intensive care setting.

Majid M Alshamrani1, Aiman El-Saed2, Yaseen M Arabi3, Mohammed Al Zunitan4, Fayssal M Farahat5, Henry Baffoe Bonnie6, Muayed Matalqa6, Fatmah Othman7, Saad Almohrij8.   

Abstract

BACKGROUND: The higher risk of COVID-19 in health care workers (HCWs) is well-known. However, the risk within HCWs is not fully understood. The objective was to compare the COVID-19 risk in intensive care unit (ICU) vs non-ICU locations.
METHODS: A prospective surveillance study was conducted among HCWs at a large tertiary care facility in Riyadh between March 1st to November 30th, 2020. HCWs included both clinical (provide direct patient care) and nonclinical positions (do not provide direct patient care).
RESULTS: A total 1,594 HCWs with COVID-19 were included; 103 (6.5%) working in ICU and 1,491 (93.5%) working in non-ICU locations. Compared with non-ICU locations, ICU had more nurses (54.4% vs 22.1%, P < .001) and less support staff (2.9% vs 53.1%, P < .001). COVID-19 infection was similar in ICU and non-ICU locations (9.0% vs 9.8%, P = .374). However, it was significantly higher in ICU nurses (12.3% vs 6.5%, P < .001). Support staff had higher risk than other HCWs, irrespective of ICU working status (15.1% vs 7.2%, P < 0.001). The crude relative risk of COVID-19 in ICU vs non-ICU locations was 0.92, 95% confidence interval ( was 0.76-1.11 (P = .374). However, relative risk adjusted for professional category was significantly increased to 1.23, 95% confidence interval 1.01-1.50 (P = .036).
CONCLUSIONS: ICU had a significantly higher risk of COVID-19 infection only after adjusting for the distribution and risk of different professional categories. The latter is probably determined by both exposure level and protection practices. The finding underscores the importance of strict implementation of preventive measures among all HCWs, including those performing nonclinical services.
Copyright © 2022 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Exposure; Hospital; Professional category, Saudi Arabia; Protection; Risk of infection

Mesh:

Year:  2022        PMID: 35081425      PMCID: PMC8783836          DOI: 10.1016/j.ajic.2022.01.003

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   4.303


Health care workers (HCWs) around the world are facing considerable physical and mental challenges during the current coronavirus disease (COVID-19) pandemic. In addition to the traditional community risk, they suffer from additional higher risk of exposure at health care setting. , In relatively few HCWs, this may end up with hospital admission and even death. Being in the frontline of the fight against COVID-19, HCWs are at higher risk of burnout, psychological comorbidities, and sleep disturbance. , Additionally, they may act as a source of infection to their patients, colleagues, and households. In Saudi Arabia, the burden of COVID-19 among HCWs is not well defined. Two recently published seroprevalence studies showed that neutralizing antibodies were present in 2.4% of HCWs in May 2020 and in 6.3% of HCWs during June and July 2020. , However, the real burden of COVID-19 infection in HCWS is probably much higher and increasing overtime. , While the higher risk of COVID-19 in HCWs is clear, the risk within the HCWs is not that clear. The US Occupational Safety & Health Administration classified the exposure risk in HCWs based on performed activities, with those performing aerosol-generating procedures were classified as very high risk. Later, it was recommended to include personal information in addition to professional category in determining the professional risk of COVID-19 in HCWs. Previous studies showed that risk of COVID-19 infection was highest in specific professional category, such as nurses11, 12, 13 and allied health care.13, 14, 15 Additionally, these reports showed that the risk was highest in specific hospital locations, such as non-emergency wards , and nonintensive care units (ICUs).13, 14, 15 The objective of the current study was to compare the COVID-19 risk in HCWs working in ICU and non-ICU locations in a tertiary care hospital. Additionally, to examine the interaction between hospital locations and professional category.

Methods

Setting

The current study was conducted at King Abdulaziz Medical City at Riyadh (KAMC-R), Saudi Arabia, which is an approximately 1,488-bed tertiary care facility, composed of 2 hospitals. The facility provides health care services for almost 1.15 million eligible Saudi National Guard soldiers, employees and their families. The facility had a total 172 (11.6%) intensive care beds and 168 (11.3%) emergency beds. According to local hospital statistics, KAMC-R received 55,025 admissions and served 863,073 outpatient clinic visits in 2019. The facility is served by 16,317 HCWs; including 2,451 physicians, 5,483 nurses, and 3,101 other clinical HCWs, and 5,282 administrative and support jobs that involve no direct patient care.

Study design

The current study design was a prospective surveillance study for all HCWs confirmed with COVID-19 at KAMC-R during the pandemic period; March 1st to November 30th, 2020. The study obtained all required ethical approvals from the institutional review board of King Abdullah International Medical Research Center, Riyadh, Saudi Arabia. This project received the approval of the Research Ethics Committee of King Abdullah International Medical Research Center (protocol reference number RC20/563/R). The Research Ethics Committee waived the need for informed consent.

Definitions

The case definition used was based on the definition released by the Saudi Ministry of Health and the Saudi Center for Disease Prevention and Control. Only confirmed cases who had a positive RT-PCR test for COVID-19 were included in the study. The study outcomes included COVID-19 infection and related outcomes including hospitalization, ICU admission, case fatality, and mortality. HCW were defined as all staff who were working within the hospital premises. They included both clinical (provide direct patient care) and non-clinical positions (do not provide direct patient care). Clinical positions included physicians, nurses, and other HCWs. The later included technicians, technologist, pharmacists, physiotherapist, dental assistants, and other allied health care positions. Nonclinical positions included administrative, service, logistic, maintenance, security, and research positions.

Case finding

HCWs who were meeting the suspected COVID-19 definition or as part of contact tracing had their nasopharyngeal swabs examined using RT-PCR test for COVID-19. Suspected COVID-19 definition included those with acute respiratory symptoms even without epidemiologic link (contact with a confirmed case or recent travel to an infected area). Contact tracing was usually initiated after unprotected exposure to confirmed patient or HCWs.

Statistical methods

Categorical variables were presented as frequencies and percentages while continuous variables were presented as means and standard deviations . Epidemic curves for HCWs and patients at KAMC-R were plotted. Demographic and professional characteristics as well as outcomes were compared by ICU working status. Chi-square test or Fisher's exact test, as appropriate, were used to compare categorical variables. T-Test was used to compare continuous variables. Crude and Mantel-Haenszel adjusted relative risk (RR) of COVID-19 among HCWs was calculated for HCWs with ICU vs non-ICU working status. Mantel-Haenszel Chi-square was used to examine the difference between ICU and non-ICU HCWs after adjusting for professional category. All P-values were 2-tailed. A P-value < .05 was considered significant. Statistical Package for the Social Sciences software (SPSS Version 27.0. Armonk, NY: IBM Corp) were utilized for statistical analysis.

Results

During the 9 months period of the study, a total 1,594 HCWs have been confirmed with COVID-19 after 8,130 RT-PCR tests done at the KAMC-R between March and November 2020. On average, 5.1 tests were done for each positive HCW. Out of 1,594 HCWs included, 103 (6.5%) working in ICU and 1491 (93.5%) working in non-ICU locations (Table 1 ). The mean age was 38.0 ± 9.9 years, with no significant difference between the 2 groups (P = .577). The majority of HCWs at KAMC-R were males (56.9%) and non-Saudi (58.5%). However, females (60.2% vs 41.9%, P < .001) and non-Saudi (78.6% vs 57.0%, P < .001) were more represented in ICU compared with non-ICU locations. Professional category was different between groups (P < .001). Nurses were the major (54.4%) professional category in ICU, followed by other HCW (29.1%), physicians (13.6%), and support staff (2.9%). On the other hand, support staff were the major (53.1%) professional category in non-ICU locations, followed by nurses (22.1%), other HCW (13.2%), and physicians (11.6%). Hospital-acquired transmission was the most frequent probable source of infection in both groups (55.3% and 47.6%, respectively, P = .142). Hospital admission were similar in both groups (1.9% in each) while ICU admission was slightly higher (but not significant) in ICU compared with non-ICU locations (1.9% vs 0.3%, P = .070). Overall mortality in HCWs was very low (0.1%) with no deaths in ICU.
Table 1

Demographic and professional characteristics as well as outcomes among health care workers (HCWs) by intensive care unit (ICU) working status (March to November 2020)

VariableICU work (N = 103)Non-ICU work (1,491)Total (N = 1,594)P-value
Age
 Mean±SD38.0 ± 10.138.5 ± 8.038.0 ± 9.9.577
 <30639 (43.2%)40 (38.8%)679 (42.9%).387
 30-45504 (34.1%)42 (40.8%)546 (34.5%)
 >45335 (22.7%)21 (20.4%)356 (22.5%)
Gender
 Male41 (39.8%)859 (58.1%)900 (56.9%)<.001
 Female62 (60.2%)619 (41.9%)681 (43.1%)
Nationality
 Saudi Arabia22 (21.4%)634 (43.0%)656 (41.5%)<.001
 Non-Saudi81 (78.6%)842 (57.0%)923 (58.5%)
Professional category
 Nurse56 (54.4%)329 (22.1%)385 (24.2%)<.001
 Physician14 (13.6%)173 (11.6%)187 (11.7%)
 Other HCW30 (29.1%)197 (13.2%)227 (14.2%)
 Support staff3 (2.9%)792 (53.1%)795 (49.9%)
HCW type
 Clinical100 (97.1%)699 (46.9%)799 (50.1%)<.001
 Non-clinical3 (2.9%)792 (53.1%)795 (49.9%)
Symptoms
 Asymptomatic16 (17.0%)310 (22.3%)326 (22.0%).233
 Symptomatic78 (83.0%)1,081 (77.7%)1,159 (78.0%)
Probable source of infection
 Community-acquired32 (31.1%)466 (31.3%)498 (31.2%).142
 Hospital-acquired57 (55.3%)709 (47.6%)766 (48.1%)
 Unknown14 (13.6%)316 (21.2%)330 (20.7%)
Hospital admission
 No101 (98.1%)1,463 (98.1%)1,564 (98.1%)>.99
 Yes2 (1.9%)28 (1.9%)30 (1.9%)
ICU admission
 No101 (98.1%)1,486 (99.7%)1,587 (99.6%).070
 Yes2 (1.9%)5 (0.3%)7 (0.4%)
Death
 No103 (100.0%)1,489 (99.9%)1,592 (99.9%)>.99
 Yes0 (0.0%)2 (0.1%)2 (0.1%)
Demographic and professional characteristics as well as outcomes among health care workers (HCWs) by intensive care unit (ICU) working status (March to November 2020) As shown in Table 2 , the incidence of COVID-19 infection was similar in HCWs working in ICU and non-ICU locations (9.0% vs 9.8%, P = .374) when all HCWs irrespective of their professional category were considered. However, the risk of infection was significantly higher among nurses working in ICU compared with non-ICU locations (12.3% vs 6.5%, RR = 1.88, P < .001). Additionally, there was trend of lower risk of infection among physicians working in ICU compared with non-ICU locations (4.9% vs 8.0%, RR = 0.62, P = 0.071). Support staff had higher risk than other HCWs, irrespective of ICU working status (15.1% vs 7.2%, P < 0.001).
Table 2

Incidence of COVID-19 among health care workers (HCWs) by intensive care unit (ICU) working status and professional categories (March to November 2020)

VariableFrequencyCOVID-19 incidenceRelative risk (RR)*Confidence intervalP-value
Nurse
 ICU455 (8.3%)56 (12.3%)1.881.44-2.46<.001
 Non-ICU5,028 (91.7%)329 (6.5%)
 Total5,483 (100.0%)385 (7.0%)
Physician
 ICU283 (11.5%)14 (4.9%)0.620.36-1.05.071
 Non-ICU2,168 (88.5%)173 (8.0%)
 Total2,451 (100.0%)187 (7.6%)
Other HCW
 ICU373 (12.0%)30 (8.0%)1.110.77-1.61.568
 Non-ICU2,728 (88.0%)197 (7.2%)
 Total3,101 (100.0%)227 (7.3%)
Support staff
 ICU30 (0.6%)3 (10.0%)0.660.23-1.94.632
 Non-ICU5,252 (99.4%)794 (15.1%)
 Total5,282 (100.0%)797 (15.1%)
Total
 ICU1,141 (7.0%)103 (9.0%)0.920.76-1.11.374
 Non-ICU15,176 (93.0%)1,493 (9.8%)
 Total16,317 (100.0%)1,596 (9.8%)

RR refers to risk in ICU compared with non-ICU HCWs.

P-values were calculated using Chi-square test or Fisher.

Incidence of COVID-19 among health care workers (HCWs) by intensive care unit (ICU) working status and professional categories (March to November 2020) RR refers to risk in ICU compared with non-ICU HCWs. P-values were calculated using Chi-square test or Fisher. As shown in Figure 1 , crude RR of infection among HCWs working in ICU compared with non-ICU locations irrespective of their professional category was 0.92, 95% confidence interval ( was 0.76-1.11, and P = .374. After adjusting for professional category, the RR of infection significantly increased to 1.23, with 95% confidence interval 1.01-1.50, and P = .036.
Fig 1

Risk of COVID-19 among HCWs working in ICU compared with non-ICU locations at KAMC-R before (crude RR) and after (adjusted RR) adjusting for professional categories

Note: Chi-square (P = .374) was used for crude RR while Mantel-Haenszel Chi-square (P = .034) was used for adjusted RR

Risk of COVID-19 among HCWs working in ICU compared with non-ICU locations at KAMC-R before (crude RR) and after (adjusted RR) adjusting for professional categories Note: Chi-square (P = .374) was used for crude RR while Mantel-Haenszel Chi-square (P = .034) was used for adjusted RR Figure 2 shows the epidemic curve of confirmed COVID-19 infection for HCWs by ICU working status and for patients by ICU admission status. Irrespective of the small number of HCWs working in ICU compared with other groups, the epidemic curves of the 4 groups were almost identical with a peak in June 2020. The curves between August and Novembers were slightly decreasing in all groups except for HCWs working in ICU. The rising curve in November among HCWs working in ICU was caused by a cluster of COVID-19 infection among nurses working in ICU (N = 9).
Fig 2

Epidemic curve of confirmed COVID-19 infection in HCWs (by ICU working status) and patients (by ICU admission status) at KAMC-R, March to November 2020

Epidemic curve of confirmed COVID-19 infection in HCWs (by ICU working status) and patients (by ICU admission status) at KAMC-R, March to November 2020

Discussion

The current study compared the risk of COVID-19 infection among HCWs working in ICU compared with non-ICU locations in a tertiary care setting. The risk in ICU was similar or slightly lower when professional category is ignored and was significantly higher when professional category is adjusted for. This may be explained by the clear differences in the distribution and risk of HCWs of different professional category inside and outside the ICU. Overrepresentation of nurses in ICU tended to raise the risk while the underrepresentation of support staff in ICU tended to reduce the risk. For example, nurses who were the only professional category that had significantly higher risk in ICU compared with non-ICU locations represented 54% of HCWs working in ICU compared with 22% in HCWs working in non-ICU locations. On the other hand, support staff who had the highest frequency of COVID-19 infection among all professional categories represented only 3% of HCWs working in ICU compared with 53% in HCWs working in non-ICU locations. Previous studies showed generally lower risk of COVID-19 infection in ICU compared with hospital wards.13, 14, 15 For example, Brousseau and colleague reported lower risk in ICU (6.2%) compared with wards (13%-20%) in 10 hospitals in Canada. Similarly, Patel and colleagues reported significantly lower risk of COVID-19 infection in ICU (23%) compared with general wards (43%) in a large trust in UK. The lower risk in ICU in these studies has been explained by the strict use of personal protective equipment (PPE).13, 14, 15 Additionally, ICU patients with COVID-19 who typically staying longer than a week have reduced infectiousness after the first week of disease. However, the authors in the above studies did not adjust for the professional category.13, 14, 15 Previous studies pointed to the higher risk of infection in nurses, but without differentiating between ICU and non-ICU locations.11, 12, 13 The current study showed higher risk of COVID-19 infection in ICU nurses, which may be related to heavier exposure to sick ICU patients, who required extensive care, frequent bedside tasks, multiple medications, and continuous observation. While the viral shedding is decreasing overtime, it is typically longer in ICU and more severe patients compared with non-ICU and milder patients. It has been pointed that strict use of PPE can abolish the higher COVID-19 risk among ICU nurses. Although HCWs in our hospital including nurses in both ICU and non-ICU settings were required to wear full PPE while dealing with COVID-19 patients, PPE compliance data were not monitored. Additionally, our hospital faced a significant shortage of COVID-19 trained nurses which was fixed by quick training of nurses in other services. Finally, the nursing cluster towards the end of the study pointed to the possibility of transmission between HCWs during dining and socializing, when minimal preventive measures are implemented. On the other hand, the observed trend of lower risk of COVID-19 infection among ICU physicians in the current study may be related their younger age and largely remote care used during the pandemic. The ICU at KAMC-R is a big training center for physician; with 84% the physician's workforce during 2020 were residents, interns, and fellows. The higher risk of COVID-19 infection among the support staff in the current study was unexpected. Several studies pointed to the lower , , or similar21, 22, 23 risk of COVID-19 infection among nonclinical HCWs compared with clinical HCWs. Obviously, nonclinical HCWs have lower exposure level as they are not involved in direct patient care. However, they probably have a limited knowledge about protecting themselves during the pandemic. It has been reported that the compliance with hand hygiene and the use of PPE was lower in non-clinical compared with clinical staff. Additionally, the lower perceived risk among nonclinical staff may lead to loose adherence to preventive measures such as wearing masks and social distancing, specially many of them were living in shared residence provided by the hospital. Additionally, subanalysis of the current data showed significantly higher community source of infection in support staff than other professional categories. The current finding may indicate the need of strict implementation of preventive measures among all HCWs, including those performing non-clinical services. The epidemic curve for HCWs working in ICU was identical to the epidemic curves of ICU patients, non-ICU patients, and non-ICU HCWs; all had the peak in June 2020. This finding is probably consistent with the selfreported health care exposure, which was the major reported source of infection in the current HCWs, irrespective of ICU working status. Interestingly, the above health care epidemic curves were also similar to that of Saudi Arabia, with the peak in June 2020. This may underscore the role of community exposure in HCWs’ risk of infection. Similarly, previous studies showed that the epidemic curve of HCWs was similar to that of the patients and community. , , It should be noted that confirming the health care and/or community exposure is very difficult, especially in the middle of pandemic. The current study is considered the first local and/or regional study to comprehensively compare the risk of COVID-19 infection among HCWs by ICU working status. Additionally, it is the only study so far to adjust ICU risk by the professional category. However, lack of detailed clinical information and compliance with PEE did not allow us to adjust for individual risk. Despite being a large tertiary care facility composed of 2 hospitals, the findings should be generalized with caution to other hospitals. In conclusion, the risk of COVID-19 infection in HCWs working in ICU was similar or slightly lower when professional category is ignored and was significantly higher when professional category is adjusted for. The risk was significantly higher among ICU nurses and there was a trend of lower risk in ICU physician. Support staff had the highest risk irrespective of ICU working status. The differential risk by professional category is probably determined by both exposure level and protection practices. The finding underscores the importance of strict implementation of preventive measures among all HCWs, including those performing non-clinical services.
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