Literature DB >> 35802587

Infection prevention and control risk factors in health workers infected with SARS-CoV-2 in Jordan: A case control study.

Ala Bin Tarif1, Mohannad Ramadan2, Mo Yin3,4,5,6,7, Ghazi Sharkas1, Sami Sheikh Ali1, Mahmoud Gazo1, Ali Zeitawy1, Lora Alsawalha2, Kaiyue Wu8, Alvaro Alonso-Garbayo2, Bassim Zayed8, Lubna Al-Ariqi8, Khalid A Kheirallah9, Maha Talaat8, Arash Rashidian8, Alice Simniceanu3, Benedetta Allegranzi3, Alessandro Cassini3, Saverio Bellizzi2.   

Abstract

BACKGROUND: Despite under-reporting, health workers (HWs) accounted for 2 to 30% of the reported COVID-19 cases worldwide. In line with data from other countries, Jordan recorded multiple case surges among HWs.
METHODS: Based on the standardized WHO UNITY case-control study protocol on assessing risk factors for SARS-CoV-2 infection in HWs, HWs with confirmed COVID-19 were recruited as cases from eight hospitals in Jordan. HWs exposed to COVID-19 patients in the same setting but without infection were recruited as controls. The study lasted approximately two months (from early January to early March 2021). Regression models were used to analyse exposure risk factors for SARS-CoV-2 infection in HWs; conditional logistic regressions were utilized to estimate odds ratios (ORs) adjusted for the confounding variables.
RESULTS: A total of 358 (102 cases and 256 controls) participants were included in the analysis. The multivariate analysis showed that being exposed to COVID-19 patients within 1 metre for more than 15 minutes increased three-fold the odds of infection (OR 2.92, 95% CI 1.25-6.86). Following IPC standard precautions when in contact with patients was a significant protective factor. The multivariate analysis showed that suboptimal adherence to hand hygiene increased the odds of infection by three times (OR 3.18; 95% CI 1.25-8.08).
CONCLUSION: Study findings confirmed the role of hand hygiene as one of the most cost-effective measures to combat the spreading of viral infections. Future studies based on the same protocol will enable additional interpretations and confirmation of the Jordan experience.

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Mesh:

Year:  2022        PMID: 35802587      PMCID: PMC9269456          DOI: 10.1371/journal.pone.0271133

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

The current COVID-19 pandemic has accounted for almost 250 million people infected and 5 million deaths worldwide as of November 2021 [1], disproportionally affecting health workers (HWs). Despite possible under-reporting, HWs accounted for 2 to 30% of the reported COVID-19 cases worldwide [2]. Only 6643 deaths out of the 3.45 million deaths due to COVID-19 between January 2020 and May 2021 were identified as being in HWs; however, this figure significantly under-reports the burden of mortality world-wide in this group [3]. The WHO defines HWs as “all people engaged in actions whose primary intent is to enhance health” [4]. HWs play a critical role in providing patient care and preventing further transmission. Hence, insights on the risk factors for SARS-CoV-2 infections among HWs are needed to protect HWs and mitigate the risk of onward transmission of infection. Jordan reported almost 805 000 confirmed COVID-19 cases and 10 500 deaths by the beginning of September 2021 [5]. These represented about 5.0% of the total confirmed cases and 4.0% of the total number of deaths in the WHO Eastern Mediterranean Region (EMR) [6]. The COVID-19 epidemiological curve in Jordan during the first 19 months of the pandemic showed four distinct phases that reflected: 1. the complex interrelation between the natural evolution of the outbreak, 2. the implementation of public health and social measures (PHSM), 3. the introduction of variants of concern (VoC) 4. and the COVID-19 vaccination campaign. The first phase started the last week of February 2020 when the government applied strict control measures, thus flattening the epidemiological curve and prolonging sporadic transmission [7]. The second phase featured progressive easing of restrictions with an exponential increase of cases up to 8 000 in November 2020 [7]. A third phase showed a new steady and progressive upsurge of cases with a peak of almost 10 000 cases per day over the last week of March 2021 (most likely due to the introduction of the Alpha VoC) [5]. The fourth phase showed a steady and progressive decline of the epidemiological curve with a long plateau of around 900 cases per day during the June-September 2021 time-period [7]. To note that the COVID-19 vaccination campaign in Jordan started in mid-January 2021 and targeted all individuals regardless of nationality, citizenship, and legal status [8]. During the first peak of COVID-19 pandemic in Jordan (November 2020), a total of 817 cases were recorded among nurses, representing 5.5% of HWs, and 26 deaths were recorded among physicians [9]. To quantify SARS-CoV-2 exposure risks for HWs and identify effective protective measures, WHO developed a protocol for a case-control study “Assessment of risk factors for coronavirus disease 2019 (COVID-19) in health workers: protocol for a case-control study”and engaged countries in a global multi-centre study [10]. Jordan was one of the participating countries. Here we report the findings from the Jordan study, which lasted approximately two months (from early January to early March 2021). and provide recommendations to improve IPC measures in healthcare facilities across the country within the context of the response to the COVID-19 pandemic.

Methods

According to study enrolment criteria and interest, eight hospitals with an approximate pooled number of 6,000 health workers were selected to participate in the study.

Study design and participant enrolment

A HW was defined as any staff in the health care facility involved in the provision of patient care, including health care professionals, allied health workers and auxiliary health workers such as cleaning and laundry personnel, x-ray physicians and technicians, clerks, phlebotomists, respiratory therapists, nutritionists, social workers, physical therapists, laboratory personnel, cleaners, admission/reception clerks, patient transporters, and catering staff. Exposure to COVID-19 patients was defined as close contact (within 1 metre and for more than 15 minutes) with a suspected/probable/confirmed COVID-19 patient(s), or indirect contact with fomites (for example, clothes, linen, utensils, furniture and so on) or with materials, devices or equipment linked to a suspected/probable/confirmed COVID-19 patient(s).

Identification of cases

A case was defined as a health worker exposed in a health care setting to a COVID-19 patient in the 14 days prior to the health worker’s confirmation test, and who is a confirmed COVID-19 case fulfilling either of the three criteria below: A person with a positive Nucleic Acid Amplification Test (NAAT) A person with a positive SARS-CoV-2 Ag-RDT AND meeting either the probable case definition or suspected criteria A OR B An asymptomatic person with a positive SARS-CoV-2 Ag-RDT AND who is a contact of a probable or confirmed case. HWs were excluded if they were vaccinated more than 2 weeks prior to their first positive confirmation test, or if they were a close contact of a COVID-19 case outside of work.

Selection of controls

HWs exposed to COVID-19 patients in the same setting as the cases in the 14 days prior to enrolment, without suspected, confirmed or previous infection with SARS-CoV-2 infections were recruited as controls, with a target of at least 2–4 controls for every case. The exclusion criteria for a control were having a positive serology test to SARS-CoV-2 and/or prior vaccination.

Data

Data collection and entry was performed on Go.Data [11]. To ensure data quality across the various sites, data entered was checked for accuracy, timeliness, and completeness prior to merging and analysis. Data variables obtained from the questionnaires () include the following broad categories: Demographic factors, e.g., age, sex, country of residence, educational level; Personal risk factors, e.g., occupation, hygiene practices, various types of exposures to SARS-CoV-2; Risk factors related to healthcare facilities, e.g., IPC policies, available personal protective equipment (PPE) resources; and, Outcomes, e.g., infection with SARS-CoV-2, mortality, hospitalisation, serological response.

Statistical analysis

Descriptive statistics include frequency tables for categorical data, means (with standard deviations), or medians (with interquartile ranges) depending on the distribution of the data. Categorical variables were compared with χ2 and Fisher exact tests as appropriate and continuous variables with unpaired, 2-tailed t tests or nonparametric Wilcoxon rank sum tests as appropriate. We used conditional logistic regressions to estimate odds ratios (ORs) adjusted for the confounding variables. Because the cases and controls were matched based on the health care facilities when enrolled into the study, health care facility was used as grouping strata (matching variable) in the conditional regression model. Collinearity of the infection risk factors were evaluated in separate multivariate models adjusted for age, sex, occupation, education level, and country of residence with Cramer’s V measure. The following models were considered: Model 1: Associations between demographic factors and IPC practices and SAR-CoV-2 infection. Model 2: Associations between individual IPC practices and COVID-19 infection. Model 3: Associations between exposure-specific protection and risk factors and SARS-CoV-2 infection during high-risk exposures. These high-risk procedures include: ○ Close contact (within 1 metre) with COVID-19 patient(s) ○ During exposure to COVID-19 patient(s)’ materials ○ During exposure to COVID-19 patient(s)’ surrounding surfaces Planned variables in the regression models were categorised and chosen based on expert opinion from IPC specialists together with statisticians. Confounders including demographics, community exposure to SARS-CoV-2, occupational roles (and IPC training in the models evaluating PPE items and infection risk) were included in all the models. Actual variables included in the models were finalised using variables which had adequate variations in the responses and the responses did not correlate highly with other variables. Univariate regressions were performed prior to multivariate regressions. Final multivariate regression models were selected based on Akaike information criterion (AIC) values.

Ethical approval

Institutional Review Board (IRB) approval was obtained from the Jordan Ministry of Health Ethical Committee (Reference # 2021/MBA/14375).

Results

A total of 358 (102 cases and 256 controls) individuals were enrolled into the study between 8 January 2021 and 4 March 2021 across the eight participating centres. The mean time interval between the first and follow-up interviews was 23 days (IQR 21 to 26 days). As per , six out of ten participants in the study were female (N = 210), which contributed to slightly more than half of cases and 60% of controls. Almost 90% of participants held a tertiary or university education level, while only one out of 10 participants in the study were medical doctors. In terms of occupations, more participants with little patient contact e.g. administration clerks were enrolled as controls. However, in the multivariate regression (), occupational role was not an important factor associated with SARS-CoV-2 infection. On the other hand, close contact and duration of exposure to a COVID-19 patient increased three-fold the odds of acquiring infection (OR 3.13; 95% CI 1.71–5.70). *Other included: laboratory personnel, admission and reception clerk, cleaner, radiology technician, patient transporter, phlebotomist, physical therapist, and catering staff **Confounders included contact covid outside of work, used public transport, had social contact outside of work *Confounders included awareness of hand hygiene moments, received IPC training specific to COVID-19, contact covid outside of work, used public transport Slightly less than 20% of both cases and controls reported exposure to body fluids and aerosol procedures, which did not lead to a significant increased risk (exposure to body fluid: OR 0.49; 95% CI 0.17–1.43; exposure to aerosol: OR 1.61 95% CI 0.50–1.17). Conversely, not always practicing the five-moments of hand hygiene [12] was related to more than 40% of cases (N = 41) and around 25% of controls (N = 65), which yielded an OR of 3.18 (95% CI 1.25–8.08) in multivariate regression. Almost nine out of ten participants reported that PPE was available at their respective health facility; “COVID-19 specific IPC training” as well as “hours of training” were equally distributed across cases and controls. Having received training remotely seemed to have decreased the odds of infection when compared to the baseline category (OR <0.05; 95% CI 0.04–0.40), which grouped those who benefitted from both practical and theoretical training. The second statistical model was based on 51 cases and 83 controls, which represented the sample of participants that participated in high-risk exposure procedures. Both hand-hygiene before and after any procedure during close contact reduced significantly the odds of infection (). On the other hand, the analysis assessing the role of exposure to body fluids and aerosol generating procedures yielded statistically non-significant results. The last statistical model was based on an even lower sample of participants (31 cases and 26 controls) who had prolonged close contact (>15 min within 1 meter), which did not allow for the multivariate logistic regression to be conducted. There was also inadequate power in the univariate analysis to find any associations between a PPE item and infection (). *Confounders included awareness of hand hygiene moments, received IPC training specific to COVID-19, contact covid outside of work, used public transport

Discussion

The HWs case-control study in Jordan is the first documented experience within the WHO multi-centre COVID-19 WHO UNITY case-control study global initiative, which aimed to identify specific IPC risk factors for SARS-CoV-2 infection in health workers. The pooled analysis using data from eight hospitals revealed that not practicing HH according to minimum standards was associated with more than three-fold odds of being infected with SARS-CoV-2. WHO has declared 2021 the “Year of the Health and Care Worker” and evidence has shown that appropriate hand hygiene practices are vital to protect such vital workers by reducing infections during care delivery [13]. However, very few studies have so far explored the effect of hand hygiene on COVID-19 among health workers and only one detected significant association, although based on a systematic review of the literature [14]. Our finding suggested that hand hygiene both before and after procedures (respectively, OR 0.23, 95% CI 0.04–0.88, and OR 0.24, 95% CI 0.06–0.99) are in line with what reported by Ran et al., who detected that unqualified hand hygiene led to a 2.64 risk ratio (RR) of developing infection; similarly, suboptimal hand hygiene before patient contact and suboptimal hand hygiene after patient contact were respectively associated with a 3.10 RR (1.43–6.73) and 2.43 RR (1.34–4.39) [15]. A recent study in Jordan indicated sub-optimal precautionary behaviour of medical doctors in context of COVID-19 in early pandemic and implicitly revealed that only 47.4% of doctors were practicing proper hand hygiene during duty hours. These results present a piece of evidence calling for more actions to boost preventive behaviour among HWs [16]. Other reports from the WHO Eastern Mediterranean Region indicated mixed results on the role of hand hygiene towards COVID-19. A cross-sectional study conducted in Egypt showed no significant protective role by proper hand hygiene (OR 0.74; 95% CI 0.15–3.59) [17]; the same study found no significant results when assessing the use of PPE as recommended (OR 1.00; 95% CI 0.21–4.72) [17]. Another analysis from Egypt revealed very similar findings with no statistically significant protective role of proper hand hygiene (OR 0.26; 95% CI 0.02–4.46) [18]. As far as reports from other WHO regions are concerned, a case-control study from Bangladesh yielded no conclusive results on the role of hand hygiene in the different phases: during patient care (OR 0.78, 95% CI 0.23–2.67); during procedure (OR 3.28, 95% CI0.66–12.30); after body fluid exposure (OR 0.28, 95% CI 0.06–1.45); after touching fomites (OR 1.58, 0.49–5.04) [19]. The risk of SARS-CoV-2 transmission in health facilities may increase in relation to aspects such as lack of adequate isolation facilities and increased demand for hospital beds for patients [14], as well the lack of PPE availability and the need to conduct high-risk procedures such as aerosol generating procedures [13]. Also, to note that health workers are members of communities and as such can play a role in transmission between health-care settings and the community, which might have a key role in amplifying outbreaks in settings such as health facilities [20]. However, most evidence around exposure determinants for infection remains low or moderate certainty because of methodological limitations, imprecision, and inconsistency [14]. Unlike the available literature [14], we did not detect a significant higher proportion of exposure to COVID-19 patients as well as exposure to contact with bodily secretions and aerosol generating procedures among cases. While physical distancing of at least 1 metre remains a key IPC and public health and social measure to reduce transmission of SARS-CoV-2 and has been substantiated in several analyses, the available evidence mostly stems from studies with small sample sizes and other methodological concerns [21-23]. In our univariate analysis, the proportional distribution of having received IPC training and correctly applying IPC standards was significantly higher among controls. However, such an association lost its statistical significance in the adjusted analysis. Most of previous studies on IPC training mostly focused on personal protective equipment (PPE) use. An Italian cross-sectional study in 2020 found no statistical difference between PPE training vs. no training [24], and very similar findings were found in another cross-sectional study based in the US; however, both studies might be affected by recall bias [1]. Interestingly, our multivariate analysis showed a protective effect of IPC training lasting less than 2 hours when compared with longer trainings (OR 0.46; 95% CI 0.22–0.98); such a result may not be easy to interpret and could be linked to targeted training for infection prevention and control, such as specific transmission prevention measures that HW could implement easily. For the variable on the “use of PPE when indicated”, our adjusted analysis did not detect any significant difference between cases and controls. Available literature provides mixed findings on this subject while one recent study found that consistent mask use was associated with a lower risk of infection when compared to inconsistent use [25], another study found no significant decrease while wearing PPE and exposed to a COVID-19 infected patient [26]. To note how non-significant findings on this association are likely linked to the cross-sectional nature of several studies, which does not allow for proper ascertainment of infection timing relative to different exposures. Our findings further complement the role of hand hygiene as an essential component of IPC, which is often neglected by HWs both in developed and developing countries, with compliance rates sometimes dipping below 20% [27]. Reasons for this include aspects like overcrowding of healthcare facilities and absence of reliable and adequate hand cleaning infrastructure, such as clean water and hand washing stations, or alcohol-based hand rub (ABHR) hand hygiene dispensers at the point of care especially in low-resourced settings [28]. These factors may explain why some studies report rates as low as 1 in 10 health workers practice proper hand hygiene while caring for patients at high risk of health care-associated infections in high-risk settings such as the ICU [29]. This translates into patients in low- and middle-income countries to be twice as likely to experience high rates of hospital acquired infections during health care delivery when compared to patients in high-income countries (15% and 7% of patients respectively) [13]. There are some limitations with this study that were due to the evolving nature of the pandemic and the writing of the protocol which was done in early 2020. Changes to the epidemiology of health worker infections are driven by transmission patterns: a first phase with high from transmission in health care facilities; a second phase featuring prominent community transmission which may have contributed to both healthcare transmission and outward from the healthcare facility to the community. Thus, the acquisition of SARS-CoV-2 infection in the community is not well determined by this study and therefore may compound some findings. Furthermore, due to the nature of the study, we cannot underestimate the role of recall bias. However, we deem it to be non-differential as the time between the RT-PCR results and the interview were similar between groups. Our results on the importance of hand washing and for training and lower importance of PPE is in contrast with findings from other published reports; this might be caused by bias like in the case of those who are rigorous hand washers more likely to be those with highest adherence to other protective measures. As fare as selection bias is concerned, reasons for declining participation were similar between groups and were mainly related to availability, which makes selection bias unlikely. Additional confounding could be present due to unmeasured variables such as the prevalence of the infection in the place of residence as well as the quality of training. We must acknowledge that the study sample was not random and included consecutive subjects in a defined time frame. Finally, generalization is not possible due to important differences in the pandemic evolving differently across countries, regions, and hospitals. Specifically, during the study period health workers were most likely affected by the original coronavirus strain, which was less contagious than the subsequent VOCs. Findings from this study reinforce the infection prevention and control measures that WHO has highlighted during the current pandemic [30], such as the importance of hand hygiene, appropriate PPE wear, distancing from patients when not providing care and providing regular IPC training to health workers. The results of this analysis were consistently utilized to tailor infection and prevention control capacity building Jordan MoH-WHO joint activities at all health care facilities. Future findings from the larger WHO multi-centre study will enable additional interpretations and confirmation of the experience in Jordan. 13 Apr 2022
PONE-D-22-04948
Infection prevention and control risk factors in health workers infected with SARS-CoV-2 in Jordan: a case control study
PLOS ONE Dear Dr. Bellizzi, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== Please see the reviewer comments attached. In addition to those, please specify the timeframe of your study - this will help understand which variant was dominant at the time. Please also consider including any information on the impact of different VOCs/VOIs in the studied samples. Reviewer #1: Thanks for the authors for the good work, comments as below: 1- In introduction section line -75 & discussion section line-318, It would be great if the COVID-19 epidemiological curve in Jordan during the first 19 months of the pandemic can be demonstrated in a figure that reflect count of confirmed covid-19 cases in community and counts of infected HWs in 8 hospitals in parallel with actions taken at the public & hospital level. See an example below: https://doi.org/10.1001/jama.2020.11160 2- Please indicate what is the status of 8 hospitals in regard to similarities in IPC practices, PPE shortages and designated COVID-19 hospitals. 3- Under study design & participants enrollment: Line -115, please define a suspected/probable COVID-19 patients or indicate the references in reference section. 4- Under identification of cases subsection: RDT abbreviation stands for what- need to write it as is in the first time.? Also, what do you mean by suspected criteria A or B in line 124 (please clarify). 5- Under control section: How did you manage HWs with prior positive PCR or RDT , did you test them before enrollment especially they can carry the virus with no symptoms, how can you handle it. Reviewer #2: This study supports the COVID-19 prevention measures adopted in hospitals located in Jordan as advised by the WHO. The results highlights the importance of personal hygiene in combating viral infections as well as in precautions to pandemic. The study is short but has impact in the current situation. Minor comments - The standard method of hand washing needs to be mentioned with other PPEs. A short summary of the training provided to HWs needs to be mentioned. - Whether the HWs were trained for hand washing steps, especially for this study? - The HWs were wearing gloves as part of their PPEs. How does the investigators implement hand washing in this context? Do they change the gloves very often during their work? - Authors stated that HWs exposed to COVID-19 patients within 1 meter for more than 15 minutes increased 3-fold adds of infection. As SARS-CoV-2 is a respiratory virus, a more detailed clarification with respect to the face mask need to be described. ============================== Please submit your revised manuscript by May 28 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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See an example below: https://doi.org/10.1001/jama.2020.11160 2- Please indicate what is the status of 8 hospitals in regard to similarities in IPC practices, PPE shortages and designated COVID-19 hospitals. 3- Under study design & participants enrollment: Line -115, please define a suspected/probable COVID-19 patients or indicate the references in reference section. 4- Under identification of cases subsection: RDT abbreviation stands for what- need to write it as is in the first time.? Also, what do you mean by suspected criteria A or B in line 124 (please clarify). 5- Under control section: How did you manage HWs with prior positive PCR or RDT , did you test them before enrollment especially they can carry the virus with no symptoms, how can you handle it. Reviewer #2: This study supports the COVID-19 prevention measures adopted in hospitals located in Jordan as advised by the WHO. The results highlights the importance of personal hygiene in combating viral infections as well as in precautions to pandemic. The study is short but has impact in the current situation. Minor comments - The standard method of hand washing needs to be mentioned with other PPEs. A short summary of the training provided to HWs needs to be mentioned. - Whether the HWs were trained for hand washing steps, especially for this study? - The HWs were wearing gloves as part of their PPEs. How does the investigators implement hand washing in this context? Do they change the gloves very often during their work? - Authors stated that HWs exposed to COVID-19 patients within 1 meter for more than 15 minutes increased 3-fold adds of infection. As SARS-CoV-2 is a respiratory virus, a more detailed clarification with respect to the face mask need to be described. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). 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Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
22 Apr 2022 Dear Editor, Many thanks for taking into consideration our paper entitled: Infection prevention and control risk factors in health workers infected with SARS-CoV-2 in Jordan: a case control study. Please find below our feedback on your recommended amendments: - We have removed the funding section from the manuscript and added it in the online editorial manager system. - The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. - The authors have declared that no competing interests exist - I have linked and validate my personal ORCID - Proprietors of the data are the Jordanian Ministry of Health, which can make such data available upon request. The authors of this study can facilitate access to the dataset through the Jordanian Ministry of Health. The researchers cannot make data available directly on behalf of the Jordanian Ministry of Health. Retrieval of data should be sought via the Jordanian Ministry of Health (iprd@moh.gov.jo) - Reference n 11 was updated with new access link (https://www.who.int/tools/godata) - Reference n 30 was updated with new access link (https://apps.who.int/iris/handle/10665/342620) Reviewer #1: Thanks for the authors for the good work, comments as below: 1- In introduction section line -75 & discussion section line-318, It would be great if the COVID-19 epidemiological curve in Jordan during the first 19 months of the pandemic can be demonstrated in a figure that reflect count of confirmed covid-19 cases in community and counts of infected HWs in 8 hospitals in parallel with actions taken at the public & hospital level. See an example below: https://doi.org/10.1001/jama.2020.11160 - We acknowledge the important contribution that the suggested graph would add’ however, we have no comprehensive time-data around infections in healthcare workers 2- Please indicate what is the status of 8 hospitals in regard to similarities in IPC practices, PPE shortages and designated COVID-19 hospitals. - Thanks for the important input and we added as follows: “At the time of the study, all selected facilities were designated as COVID-19 hospitals, with adequate stock in personal protective equipment, and IPC practices were aligned under the standard protocol devised the Ministry of Health of Jordan with the support of the WHO Jordan Country Office. Specifically, training on the use of personal protective equipment (PPE), including hand washing steps and its complementarity with the use of gloves (remove gloves and proceed to hand washing between patients or between contact with various sites on a single patient), had been ongoing in line with international standards and with practical sessions.” 3- Under study design & participants enrollment: Line -115, please define a suspected/probable COVID-19 patients or indicate the references in reference section. - As suggested, we indicated the appropriate reference 4- Under identification of cases subsection: RDT abbreviation stands for what- need to write it as is in the first time.? Also, what do you mean by suspected criteria A or B in line 124 (please clarify). - We agree on the importance of spelling out and clarified RDT being rapid diagnostic test. We also added the previous reference to clarify that we are referring to the WHO probable and suspected criteria 5- Under control section: How did you manage HWs with prior positive PCR or RDT , did you test them before enrollment especially they can carry the virus with no symptoms, how can you handle it. - We better clarified this aspect and highlighted the fact that controls were tested before enrollment. The sentence now reads: “Enrolment was preceded by testing and having a positive serology test to SARS-CoV-2 and/or prior vaccination was considered as exclusion criteria” Reviewer #2: This study supports the COVID-19 prevention measures adopted in hospitals located in Jordan as advised by the WHO. The results highlights the importance of personal hygiene in combating viral infections as well as in precautions to pandemic. The study is short but has impact in the current situation. Minor comments 1. The standard method of hand washing needs to be mentioned with other PPEs. A short summary of the training provided to HWs needs to be mentioned. - We clarified and added as follows: “At the time of the study, all selected facilities were designated as COVID-19 hospitals, with adequate stock in personal protective equipment, and IPC practices were aligned under the standard protocol devised the Ministry of Health of Jordan with the support of the WHO Jordan Country Office. Specifically, training on the use of personal protective equipment (PPE), including hand washing steps and its complementarity with the use of gloves (remove gloves and proceed to hand washing between patients or between contact with various sites on a single patient), had been ongoing in line with international standards and with practical sessions.” 2. Whether the HWs were trained for hand washing steps, especially for this study? - Please see above 3. The HWs were wearing gloves as part of their PPEs. How does the investigators implement hand washing in this context? Do they change the gloves very often during their work? - Please see above 4. Authors stated that HWs exposed to COVID-19 patients within 1 meter for more than 15 minutes increased 3-fold adds of infection. As SARS-CoV-2 is a respiratory virus, a more detailed clarification with respect to the face mask need to be described. We expanded on this concept and added: “While our findings on physical distancing of at least 1 metre confirms it as a key IPC and public health and social measure to reduce transmission of SARS-CoV-2, the available evidence mostly stems from studies with small sample sizes and other methodological concerns (22,23,24). On the other hand, this confirms the importance of physical distancing as part of a comprehensive strategy of measures to suppress transmission, including mask wearing (use of masks alone not sufficient to provide an adequate level of protection against COVID-19).” Submitted filename: rebuttal letter.docx Click here for additional data file. 1 May 2022
PONE-D-22-04948R1
Infection prevention and control risk factors in health workers infected with SARS-CoV-2 in Jordan: a case control study
PLOS ONE Dear Dr. Bellizzi, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. As stated in the previous communication, please clarify the study period and any information on VOC/VOIs on the impact of your findings.
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For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Balram Rathish Academic Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. Additional Editor Comments: As stated in the previous communication, please clarify the study period and any information on VOC/VOIs on the impact of your findings. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 11 May 2022 Editor comments: As stated in the previous communication, please clarify the study period and any information on VOC/VOIs on the impact of your findings. Dear Editor, thanks for your inputs and please find below responses to your queries: - We added in the abstract the following statement (lines 40-41): The study lasted approximately two months (from early January to early March 2021). - A very similar statement was added in the Introduction (lines 97-98) - We added the following statement in the Discussion (lines 333-336): Finally, generalization is not possible due to important differences in the pandemic evolving differently across countries, regions, and hospitals. Specifically, during the study period health workers were most likely affected by the original coronavirus strain, which was less contagious than the subsequent VOCs. Submitted filename: response to reviewers.docx Click here for additional data file. 24 Jun 2022 Infection prevention and control risk factors in health workers infected with SARS-CoV-2 in Jordan: a case control study PONE-D-22-04948R2 Dear Dr. Bellizzi, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. 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If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Balram Rathish Academic Editor PLOS ONE
Table 1

Associations between demographic factors and IPC practices and COVID-19 infection.

Univariate Analysis Multivariate Analysis** 
Characteristic Cases Controls OR 95% CI p-value aOR 95% CI p-value 
    Gender 
Female 54 (52.9%) 156 (60.9%) 
Male 48 (47.1%) 100 (39.1%) 1.38 0.86–2.21 0.18 1.83 0.90–3.73 0.10 
    Education 
Tertiary/University 92 (90.2%) 216 (84.4%) 
Secondary and below 10 (9.8%) 40 (15.6%) 0.5 0.24–1.06 0.07 0.83 0.29–2.40 0.72 
    Health worker role 
Medical doctor 16 (15.7%) 22 (8.6%) 
Nurse 46 (45.1%) 89 (34.8%) 0.88 0.41–1.87 0.73 0.88 0.27–2.83 0.83 
Other* 40 (39.2%) 145 (56.6%) 0.40 0.19–0.85 0.02 0.74 0.22–2.45 0.60 
    Providing COVID-19 specific care 
Yes 26 (25.5%) 47 (18.4%) 
No 76 (74.5%) 209 (81.6%) 0.61 0.35–1.06 0.08 1.10 0.39–3.11 0.9 
    Exposed to COVID-19 patients within 1 meter distance for more than 15 min 
No 57 (55.9%) 200 (78.1%) 
Yes 31 (30.4%) 36 (14.1%) 3.13 1.71–5.70 <0.05 2.92 1.25–6.86 0.01 
Missing 14 (13.7%) 20 (7.8%) 
    Exposed to COVID-19 patients within 1 meter distance with aerosol procedure 
No 73 (71.6%) 204 (79.7%) 
Yes 15 (14.7%) 32 (12.5%) 1.49 0.75–2.96 0.26 1.61 0.50–5.17 0.45 
Missing 14 (13.7%) 20 (7.8%) 
    Exposed to surfaces around COVID-19 patients soiled with body fluid 
No 72 (70.6%) 204 (79.7%) 
Yes 18 (17.6%) 41 (16.0%) 1.49 0.78–2.84 0.22 0.49 0.17–1.43 0.22 
Missing 12 (11.8%) 11 (4.3%) 
    Aware of the hand hygiene five moments 
No 34 (33.3%) 113 (44.1%) 
Yes 68 (66.7%) 143 (55.9%) 2.5 1.41–4.41 <0.05 1.99 0.87–4.53 0.10 
    Hand hygiene five moments practice 
Always 61 (59.8%) 191 (74.6%) 
Not always 41 (40.2%) 65 (25.4%) 1.76 1.03–3.03 0.04 3.18 1.25–8.08 0.01 
    Personal protective equipment available in the facility 
Yes 85 (83.3%) 232 (90.6%) 
No 17 (16.7%) 24 (9.4%) 1.2 0.89–3.70 0.55 1.44 0.48–4.34 0.58 
    Received IPC training specific to COVID-19 
No 56 (54.9%) 193 (75.4%) 
Yes 46 (45.1%) 63 (24.6%) 2.53 1.51–4.24 <0.05 1.51 0.62–3.65 0.41 
    Received IPC training specific to COVID-19 in person 
Both 40 (39.2%) 31 (12.1%) 
Only practical 23 (22.5%) 27 (10.5%) 0.97 0.44–2.14 0.95 1.36 0.47–3.95 0.6 
Remotely/Theoretical 23 (22.5%) 133 (52.0%) 0.1 0.05–0.22 <0.05 0.13 0.04–0.40 <0.05 
Don’t know IPC standard16 (15.7%) 65 (25.4%) 0.16 0.07–0.35 <0.05 0.23 0.05–1.05 0.06 
    Hours of IPC training 
More than two hours 44 (43.1%) 42 (16.4%) 
Less than two hours 58 (56.9%) 214 (83.6%) 0.25 0.14–0.42 <0.05 0.59 0.23–1.50 0.33 

*Other included: laboratory personnel, admission and reception clerk, cleaner, radiology technician, patient transporter, phlebotomist, physical therapist, and catering staff

**Confounders included contact covid outside of work, used public transport, had social contact outside of work

Table 2

Associations between individual IPC practices during contact within 1 metre and SARS-CoV-2 infection.

Univariate Analysis Multivariate Analysis*
Characteristic Cases Controls OR 95% CI p-value aOR 95% CI p-value 
    Hand hygiene before providing care 
Not always 19 (37.3%) 11 (13.3%) 
As recommended 32 (62.7%) 72 (86.7%) 0.25 0.08–0.75 0.01 0.23 0.04–0.88 <0.05 
    Hand hygiene after providing care 
No 16 (31.4%) 10 (12.0%) 
Yes 35 (68.6%) 73 (88.0%) 0.25 0.07–0.82 0.02 0.25 0.06–0.99 0.05 
    During aerosol-generating procedure 
No 36 (70.6%) 51 (61.4%) 
Yes 15 (29.4%) 32 (38.6%) 0.69 0.30–1.57 0.37 0.65 0.26–2.24 0.76 
    During exposure to surfaces soiled with body fluid 
No 35 (68.6%) 52 (62.7%) 
Yes 14 (27.5%) 30 (36.1%) 0.81 0.33–1.96 0.63 0.63 0.21–1.87 0.42 
Missing 2 (3.9%) 1 (1.2%) 

*Confounders included awareness of hand hygiene moments, received IPC training specific to COVID-19, contact covid outside of work, used public transport

Table 3

Associations between PPE during prolonged close contact and COVID-19 infection.

Univariate Analysis Multivariate Analysis* 
Characteristic Cases Controls OR 95% CI p-value aOR 95% CI p-value 
    face shield 
Yes 16 (51.6%) 20 (55.6%) 
No 15 (48.4%) 16 (44.4%) 1.14 0.33–3.99 0.84 
    gloves 
Yes 19 (61.3%) 23 (63.9%) 
No 12 (38.7%) 13 (36.1%) 0.96 0.30–3.06 0.94 
    coverall
Yes 22 (71.0%) 29 (80.6%) 
No 9 (29.0%) 7 (19.4%) 1.61 0.44–5.83 0.91 
    head cover 
Yes 17 (54.8%) 18 (50.0%) 
No 14 (45.2%) 18 (50.0%) 0.56 0.18–1.77 0.32 
respirator (e.g. N95, FFP2 or equivalent) 
Yes 13 (41.9%) 13 (36.1%) 
No 18 (58.1%) 23 (63.9%) 0.52 0.14–1.94 0.33 
    shoe cover 
Yes 9 (29.0%) 12 (33.3%) 
No 22 (71.0%) 24 (66.7%) 1.07 0.31–3.73 0.91 
    medical/surgical mask 
Yes 13 (41.9%) 11 (30.6%) 
No 18 (58.1%) 25 (69.4%) 0.29 0.08–1.09 0.07 
    goggles 
Yes 13 (41.9%) 12 (33.3%) 
No 18 (58.1%) 24 (66.7%) 0.31 0.07–1.24 0.09 
    gown 
Yes 17 (54.8%) 14 (38.9%) 
No 14 (45.2%) 22 (61.1%) 0.36 0.22–1.08 0.76 

*Confounders included awareness of hand hygiene moments, received IPC training specific to COVID-19, contact covid outside of work, used public transport

  19 in total

Review 1.  Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis.

Authors:  Benedetta Allegranzi; Sepideh Bagheri Nejad; Christophe Combescure; Wilco Graafmans; Homa Attar; Liam Donaldson; Didier Pittet
Journal:  Lancet       Date:  2010-12-09       Impact factor: 79.321

2.  Risk Factors of Healthcare Workers With Coronavirus Disease 2019: A Retrospective Cohort Study in a Designated Hospital of Wuhan in China.

Authors:  Li Ran; Xuyu Chen; Ying Wang; Wenwen Wu; Ling Zhang; Xiaodong Tan
Journal:  Clin Infect Dis       Date:  2020-11-19       Impact factor: 9.079

3.  Role of Personal Protective Measures in Prevention of COVID-19 Spread Among Physicians in Bangladesh: a Multicenter Cross-Sectional Comparative Study.

Authors:  Md Musab Khalil; Md Mashiul Alam; Mostafa Kamal Arefin; Mamunur Rashid Chowdhury; Muhammad Rezeul Huq; Joybaer Anam Chowdhury; Ahad Mahmud Khan
Journal:  SN Compr Clin Med       Date:  2020-08-28

Review 4.  Nosocomial transmission and outbreaks of coronavirus disease 2019: the need to protect both patients and healthcare workers.

Authors:  Mohamed Abbas; Tomás Robalo Nunes; Romain Martischang; Walter Zingg; Anne Iten; Didier Pittet; Stephan Harbarth
Journal:  Antimicrob Resist Infect Control       Date:  2021-01-06       Impact factor: 4.887

5.  Beyond knowledge: Evaluating the practices and precautionary measures towards COVID-19 amongst medical doctors in Jordan.

Authors:  Mohannad Ramadan; Zuheir Hasan; Tareq Saleh; Mahmoud Jaradat; Mohammad Al-Hazaimeh; Omar Bani Hani; Ala'a B Al-Tammemi; Enas Shorman; Abdel-Hameed Al-Mistarehi; Khalid Kheirallah
Journal:  Int J Clin Pract       Date:  2021-03-17       Impact factor: 3.149

6.  SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN).

Authors:  Victoria Jane Hall; Sarah Foulkes; Andre Charlett; Ana Atti; Edward J M Monk; Ruth Simmons; Edgar Wellington; Michelle J Cole; Ayoub Saei; Blanche Oguti; Katie Munro; Sarah Wallace; Peter D Kirwan; Madhumita Shrotri; Amoolya Vusirikala; Sakib Rokadiya; Meaghan Kall; Maria Zambon; Mary Ramsay; Tim Brooks; Colin S Brown; Meera A Chand; Susan Hopkins
Journal:  Lancet       Date:  2021-04-09       Impact factor: 79.321

7.  Severe Acute Respiratory Syndrome Coronavirus 2 Seropositivity among Healthcare Personnel in Hospitals and Nursing Homes, Rhode Island, USA, July-August 2020.

Authors:  Lara J Akinbami; Philip A Chan; Nga Vuong; Samira Sami; Dawn Lewis; Philip E Sheridan; Susan L Lukacs; Lisa Mackey; Lisa A Grohskopf; Anita Patel; Lyle R Petersen
Journal:  Emerg Infect Dis       Date:  2021-03       Impact factor: 16.126

8.  A three-phase population based sero-epidemiological study: Assessing the trend in prevalence of SARS-CoV-2 during COVID-19 pandemic in Jordan.

Authors:  Saverio Bellizzi; Lora Alsawalha; Sami Sheikh Ali; Ghazi Sharkas; Nazeema Muthu; Mahmoud Ghazo; Wail Hayajneh; Maria Cristina Profili; Nathir M Obeidat
Journal:  One Health       Date:  2021-07-10

9.  Case-Control Study of Use of Personal Protective Measures and Risk for SARS-CoV 2 Infection, Thailand.

Authors:  Pawinee Doung-Ngern; Rapeepong Suphanchaimat; Apinya Panjangampatthana; Chawisar Janekrongtham; Duangrat Ruampoom; Nawaporn Daochaeng; Napatchakorn Eungkanit; Nichakul Pisitpayat; Nuengruethai Srisong; Oiythip Yasopa; Patchanee Plernprom; Pitiphon Promduangsi; Panita Kumphon; Paphanij Suangtho; Peeriya Watakulsin; Sarinya Chaiya; Somkid Kripattanapong; Thanawadee Chantian; Emily Bloss; Chawetsan Namwat; Direk Limmathurotsakul
Journal:  Emerg Infect Dis       Date:  2020-09-15       Impact factor: 6.883

10.  Association of social distancing and face mask use with risk of COVID-19.

Authors:  Sohee Kwon; Amit D Joshi; Chun-Han Lo; David A Drew; Long H Nguyen; Chuan-Guo Guo; Wenjie Ma; Raaj S Mehta; Fatma Mohamed Shebl; Erica T Warner; Christina M Astley; Jordi Merino; Benjamin Murray; Jonathan Wolf; Sebastien Ourselin; Claire J Steves; Tim D Spector; Jaime E Hart; Mingyang Song; Trang VoPham; Andrew T Chan
Journal:  Nat Commun       Date:  2021-06-18       Impact factor: 14.919

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