Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

Fungai Kavenga; Hannah M Rickman; Rudo Chingono; Tinotenda Taruvinga; Takudzwa Marembo; Justen Manasa; Edson Marambire; Grace McHugh; Celia L Gregson; Tsitsi Bandason; Nicol Redzo; Aspect Maunganidze; Tsitsi Magure; Chiratidzo Ndhlovu; Hilda Mujuru; Simbarashe Rusakaniko; Portia Manangazira; Rashida A Ferrand; Katharina Kranzer

doi:10.1371/journal.pone.0260261

. 2021 Nov 23;16(11):e0260261. doi: 10.1371/journal.pone.0260261

Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

Fungai Kavenga ^1,^#, Hannah M Rickman ^2,^*,^#, Rudo Chingono ¹, Tinotenda Taruvinga ^1,³, Takudzwa Marembo ⁴, Justen Manasa ⁴, Edson Marambire ¹, Grace McHugh ¹, Celia L Gregson ⁵, Tsitsi Bandason ¹, Nicol Redzo ¹, Aspect Maunganidze ⁶, Tsitsi Magure ⁷, Chiratidzo Ndhlovu ⁸, Hilda Mujuru ⁹, Simbarashe Rusakaniko ¹⁰, Portia Manangazira ¹¹, Rashida A Ferrand ^1,², Katharina Kranzer ^1,^2,^11,¹²

Editor: Akihiro Nishi¹³

¹Biomedical Research and Training Institute, Harare, Zimbabwe

²Clinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom

³Department of Global Health and Development, London School of Hygiene & Tropical Medicine, London, United Kingdom

⁴African Institute of Biomedical Science and Technologies Laboratory, Harare, Zimbabwe

⁵Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom

⁶Department of Surgery, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe

⁷Department of Obstetrics and Gynaecology, College of Health Science, University of Zimbabwe, Harare, Zimbabwe

⁸Department of Medicine, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe

⁹Department of Paediatrics and Child Health, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe

¹⁰Department of Community Medicine, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe

¹¹Department of Epidemiology and Disease Control, Ministry of Health and Child Care, Harare, Zimbabwe

¹²Department of Infectious Diseases & Tropical Medicine, Ludwig Maximilian University of Munich, Munich, Germany

¹³UCLA Fielding School of Public Health, UNITED STATES

Competing Interests: The authors have declared that no competing interests exist.

^✉

* E-mail: hannah.rickman@lshtm.ac.uk

Contributed equally.

Roles

Fungai Kavenga: Investigation, Project administration, Supervision, Writing – review & editing

Hannah M Rickman: Data curation, Formal analysis, Visualization, Writing – original draft, Writing – review & editing

Rudo Chingono: Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

Tinotenda Taruvinga: Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – review & editing

Takudzwa Marembo: Investigation, Methodology, Resources, Writing – review & editing

Justen Manasa: Investigation, Methodology, Writing – review & editing

Edson Marambire: Project administration, Writing – review & editing

Grace McHugh: Conceptualization, Methodology, Writing – review & editing

Celia L Gregson: Funding acquisition, Writing – review & editing

Tsitsi Bandason: Data curation, Formal analysis, Methodology, Writing – review & editing

Nicol Redzo: Data curation, Formal analysis, Methodology, Project administration, Writing – review & editing

Aspect Maunganidze: Methodology, Resources, Writing – review & editing

Tsitsi Magure: Investigation, Methodology, Resources, Writing – review & editing

Chiratidzo Ndhlovu: Conceptualization, Writing – review & editing

Hilda Mujuru: Conceptualization, Writing – review & editing

Simbarashe Rusakaniko: Conceptualization, Writing – review & editing

Portia Manangazira: Conceptualization, Writing – review & editing

Rashida A Ferrand: Conceptualization, Funding acquisition, Methodology, Writing – review & editing

Katharina Kranzer: Conceptualization, Data curation, Formal analysis, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

Akihiro Nishi: Editor

PMCID: PMC8610265 PMID: 34813627

Abstract

Background

Healthcare workers are disproportionately affected by COVID-19. In low- and middle- income countries, they may be particularly impacted by underfunded health systems, lack of personal protective equipment, challenging working conditions and barriers in accessing personal healthcare.

Methods

In this cross-sectional study, occupational health screening was implemented at the largest public sector medical centre in Harare, Zimbabwe, during the “first wave” of the country’s COVID-19 epidemic. Clients were voluntarily screened for symptoms of COVID-19, and if present, offered a SARS-CoV-2 nucleic acid detection assay. In addition, measurement of height, weight, blood pressure and HbA1c, HIV and TB testing, and mental health screening using the Shona Symptom Questionnaire (SSQ-14) were offered. An interviewer-administered questionnaire ascertained client knowledge and experiences related to COVID-19.

Results

Between 27^th July and 30^th October 2020, 951 healthcare workers accessed the service; 210 (22%) were tested for SARS-CoV-2, of whom 12 (5.7%) tested positive. Clients reported high levels of concern about COVID-19 which declined with time, and faced barriers including lack of resources for infection prevention and control.

There was a high prevalence of largely undiagnosed non-communicable disease: 61% were overweight or obese, 34% had a blood pressure of 140/90mmHg or above, 10% had an HbA1c diagnostic of diabetes, and 7% had an SSQ-14 score consistent with a common mental disorder. Overall 8% were HIV-positive, with 97% previously diagnosed and on treatment.

Conclusions

Cases of SARS-CoV-2 in healthcare workers mirrored the national epidemic curve. Implementation of comprehensive occupational health services during a pandemic was feasible, and uptake was high. Other comorbidities were highly prevalent, which may be risk factors for severe COVID-19 but are also important independent causes of morbidity and mortality. Healthcare workers are critical to combatting COVID-19; it is essential to support their physical and psychological wellbeing during the pandemic and beyond.

Background

Healthcare workers are critical in the fight against COVID-19. Multiple studies have shown they are at high risk of SARS-CoV-2 infection [1–3], and tragically thousands of healthcare workers have died of COVID-19 globally [4]. Healthcare workers may also experience significant psychological consequences from the additional workload, challenging conditions within and outside the workplace, and the increased personal risk of acquiring COVID-19 associated with their professional responsibilities [5,6]. Protecting healthcare workers is critical to the COVID-19 pandemic response [7].

In Zimbabwe, the first SARS-CoV-2 case was reported on 20 March 2020, prompting the government to impose a national lockdown and other public health measures such as social distancing [8]. The number of confirmed cases in Zimbabwe remained relatively low until July, when there was a significant increase in the number of people testing SARS-CoV-2 positive and a corresponding rise in the number of individuals presenting to health facilities with COVID-19. By the end of October 2020, a total of 8367 individuals had tested positive for SARS-CoV-2 and 243 COVID-19-related deaths had been reported [9].

Zimbabwe’s COVID-19 epidemic unfolded in the context of an overstretched and underfunded healthcare system [10]. The pandemic came immediately after a year-long industrial action by doctors and nurses. Following the country’s first COVID-19 death in March 2020, doctors in governmental hospitals took further industrial action over a lack of personal protective equipment (PPE), difficult working conditions and poor remuneration. Three months later nurses joined the work stoppage. Supplies of PPE were limited, and many healthcare facilities lacked safe running water to enable implementation of effective infection prevention and control (IPC) measures [11].

Healthcare workers face threats to their own health other than SARS-CoV-2. Tuberculosis (TB), another air-borne disease, is highly prevalent in Zimbabwe [12], with healthcare workers at elevated risk compared to the general population [13]. Zimbabweans have a high burden of chronic disease, much of which is undiagnosed, which likely affects healthcare workers to a similar extent to the rest of the population [14]. Such diseases include HIV, with an adult prevalence estimated at 12.7% [15], and non-communicable diseases such as hypertension and diabetes [16–18]. These conditions have the potential to cause significant morbidity and mortality, and are of acute relevance as medical comorbidities have been associated with a high risk of developing severe COVID-19 [19–21].

We implemented comprehensive occupational health services for healthcare workers, including SARS-CoV-2 testing with rapid feedback of results to reduce nosocomial spread, alongside screening for common causes of morbidity and mortality. We further investigated healthcare workers’ knowledge and experience of the COVID-19 pandemic and the barriers they faced, to inform appropriate support measures.

Methods

Study setting and population

The study was conducted between 27 July and 30 October 2020 at Parirenyatwa Group of Hospitals (PGH) in Harare, Zimbabwe. PGH is the largest public medical centre in Zimbabwe with an inpatient capacity of 1200 beds, general medical and surgical wards, an outpatient wing including an HIV clinic, an eye centre, a mental health and women’s hospital, medical and nursing schools and staff residences on site. Normally, over 2000 staff are employed directly by PGH, with many additional domestic and security workers employed by private companies. However, as a result of the national lockdown, the facility moved to “emergency operations”, with outpatient services closed from the end of March 2020. Provision of other health services was limited by the industrial action by doctors and nurses. On 9 June 2020, a dedicated wing of the hospital was refurbished and opened as a COVID-19 treatment centre. More than 90 staff were involved in supportive roles such as domestics, security and housekeeping, or in direct care (nurses and nursing assistants) for patients testing positive for SARS-CoV-2. At the “first peak” of the SARS-CoV-2 epidemic in Zimbabwe (July and August 2020) the COVID-19 treatment centre treated up to 30 patients each day.

Study participants were adult clients using the occupational health service who agreed to participate in the research. All were healthcare workers and students, with a deliberately broad scope which included medical and nursing staff but also those working in domestic, administrative, security and other ancillary services. Staff working at any health facility in Harare were free to access the occupational health service. However, given that the service was set-up on the PGH campus and travel restrictions remained in place, most clients were either working at PGH, studied and/or lived on-site.

Interventions and procedures

With the support of the hospital administration, an occupational health check was offered free of charge during weekdays on an appointment basis. The service was advertised to healthcare workers through fliers and posters, via departmental heads, on work social media platforms and through word-of-mouth. Enrolment was voluntary. All services were offered in an outside space using tents to ensure good ventilation, with social distancing observed. Clients accessing the service were provided with an information sheet and verbal informed consent was obtained and recorded electronically as part of the questionnaire. Clients could opt out of any of the screening tests offered.

The occupational health screening included measurement of height, weight, temperature, oxygen saturation and blood pressure, and point-of-care HbA1c testing (SD Biosensor, Singapore). Definitions for raised blood pressure, HbA1c and body mass index (BMI) followed World Health Organization guidelines [22,23]. Systolic blood pressure of 140mmHg or above, and/or diastolic blood pressure of 90mmHg or above was considered elevated, and systolic blood pressure of 180mmHg or above, and/or diastolic blood pressure of 120mmHg or above, as severely elevated. An HbA1c of 6.5% or above was considered diagnostic of diabetes. An individual with a BMI of 25 to less than 30 kg/m² was considered overweight, and of 30 or above obese.

In addition, clients were offered HIV testing, either as a provider-delivered rapid blood test (Alere Determine HIV 1/2, USA) or an oral mucosal self-test (OraSure Technologies, USA), which could be self-administered onsite or taken offsite. Those with positive HIV tests were referred for confirmatory testing according to national guidelines. Clients were screened using the Shona Symptom Questionnaire (SSQ-14) that was developed and validated in Zimbabwe for symptoms of mental illness, with a score of 8 or above considered suggestive of common mental disorder [24]. Participants were asked to self-complete the SSQ questionnaire, and then submitted this to a research nurse who checked the score and looked for “red flag” responses (suicidal ideas and/or hallucinations) which prompted referral to mental health services regardless of the SSQ-14 score.

All clients were asked about symptoms of COVID-19 including fever, cough, coryzal symptoms, joint pain, headache and loss of smell or taste. Clients with one or more COVID-19 symptom, or a measured temperature of >37.5°C were offered a nasopharyngeal swab for SARS-CoV-2 polymerase chain reaction (PCR) testing. A WHO TB symptom screen [25] was performed, and if positive clients were asked to provide a spontaneous sputum sample for Xpert MTB/RIF testing (Cepheid, USA).

SARS-CoV-2 test results were returned to clients within 48 hours. Negative SARS-CoV-2 tests were communicated either by phone or SMS/Whatsapp. Clients with positive results were contacted by telephone and given advice on IPC measures for themselves and household contacts. Severity of symptoms was assessed and referral made for admission if warranted. The IPC department leads were informed of any positive cases so that they could offer extra support to their staff.

All screening services were provided free of charge. Clients screening positive for diabetes, hypertension or mental illness, and those newly diagnosed with HIV or TB, were referred to appropriate services (PGH staff clinic, or other public or private facilities, according to client preference) for ongoing management. Costs for follow-up varied depending upon where the client chose to access services and whether or not they had medical insurance. Most public services in Zimbabwe charge an access fee, which is less expensive than the costs of private providers (for example, a consultation in a public sector primary healthcare clinic costs USD$4). Clients with a positive SARS-CoV-2 test and those with a high SSQ-14 score were offered referral to the counselling service unit; those who accepted were telephoned by a counsellor so no cost was incurred by the client.

Laboratory methods

Clients consenting to SARS-CoV-2 testing had a nasopharyngeal swab collected, which was immediately placed in viral transport medium (VTM) and transported to the laboratory for testing within six hours of collection. At the laboratory RNA was extracted from 200 ul of the VTM using NUCLISENS easyMAG (bioMérieux, USA) as per manufacturer’s instructions. Multiplex SARS-CoV-2 real time reverse transcriptase PCR (rtPCR) was performed using TaqPath^™ COVID-19 kit (Thermo Fisher, USA). The assay detects three viral genes, ORF 1ab, N gene and S as well as the bacteriophage MS2 process control. 10 ul of RNA was used in 30 ul reaction mixes, which were amplified and analysed on AB7500 (Applied Biosystems, USA) rtPCR machine. The rtPCR conditions were as follows: incubation of 2 minutes at 25°C, reverse transcriptase at 53°C for 10 minutes, activation at 95°C for 2 minutes and 40 cycles of denaturation at 95°C for 3 seconds and annealing/extension at 60°C for 30 seconds.

Data collection and statistical analysis

While the clients waited for screening, a trained researcher administered a baseline questionnaire, which included questions on past medical history, knowledge about COVID-19 prevention and management, attitudes and behaviours related to COVID-19 and availability of PPE and other resources in their workplace.

Data were collected using SurveyCTO, a secure electronic mobile data collection and management system loaded onto tablets. Uploaded data were extracted from the SurveyCTO server and saved to a Microsoft SQL Server hosted at the Biomedical Research and Training Institute. Data analysis was performed using Stata version 13 (College Station, USA).

There was minimal missing data, but denominators are specified when relevant. Changes over time in levels of concern and feeling about COVID-19 were inspected using Locally Weighted Scatterplot Smoothing (lowess) plots, with simple linear and logistic regression then used to explore the association. For BMI, blood pressure, HbA1c and SSQ-14 outcomes, the accepted clinically-relevant cut-offs were used to dichotomise outcomes. Univariable and multivariable logistic regression were performed to assess associations of covariates with the outcomes. Lowess plots were used to inspect the relationship of the outcomes with age, and spline terms introduced where there was evidence of a non-linear relationship. Age and sex were considered possible covariates for all conditions and were included in multivariable models. For raised blood pressure and HbA1c, raised BMI was also considered as a possible independent variable and included in multivariable analyses; for raised SSQ-14, association with self-reported level of concern about COVID-19 was also investigated. Variance inflation factors were used to exclude significant collinearity in covariables. Prevalence and 95% confidence intervals were calculated for clinical conditions, with the numerator including clients who had a pre-existing diagnosis of the condition but may not necessarily have had an abnormal test in occupational health screening.

COVID-19 case numbers by date for Zimbabwe were extracted from the Worldometer website [9].

Ethics

Ethical approval was granted by the Institutional Review Board of the Biomedical Research and Training Institute, the Medical Research Council of Zimbabwe (MRCZ/A/2627) and the London School of Hygiene and Tropical Medicine ethics committee (22514). Clients were given an information sheet about the services offered. The study requested and was granted a waiver allowing verbal rather than written consent to be obtained. Verbal consent was recorded by trained researchers using the SurveyCTO platform.

Results

1. Client characteristics and comorbidities

In the 14-week period between 27 July and 30 October 2020, 951 healthcare workers accessed the service and were enrolled in the study. The median age was 35 (interquartile range [IQR] 29–42) years and 784 (82%) were female (Table 1). A wide range of healthcare professions was included; the most represented were nursing or midwifery (n = 404, 42%), and domestic services (n = 203, 21%). In total, 733 (77%) clients reported no known previous medical conditions; the most commonly reported diagnoses were hypertension (n = 122, 13%) and HIV (n = 70, 7%). Overall, 902 (95%) reported they had had a previous HIV test and all of those with known HIV reported taking anti-retroviral therapy. About two-thirds of clients (598, 63%) had some form of medical insurance.

Table 1. Characteristics of 951 enrolled healthcare workers.

Age, years	Median	IQR
	35	(29–42)
Sex	N	%
Male	167	(17.6%)
Female	784	(82.4%)
Role	N	%
Clinical roles	545	(57.3%)
Nursing and midwifery	404	(42.5%)
Allied health professionals	65	(6.8%)
Medical	45	(4.7%)
Dental	31	(3.3%)
Non-clinical roles	406	(42.7%)
Cleaning/domestic services	203	(21.3%)
Security/maintenance/porters/drivers	104	(10.9%)
Administrative	71	(7.5%)
Laboratory	15	(1.6%)
Other	13	(1.4%)
Highest level of education	N	%
Did not complete primary	2	(0.2%)
Primary	6	(0.6%)
Secondary O-Level	407	(42.8%)
Secondary A-Level	114	(12.0%)
Diploma after secondary	280	(29.4%)
University	142	(14.9%)
Medical insurance	N	%
Medical insurance	598	(62.9%)
No medical insurance	353	(37.1%)
Medical history ¹	N	%
No medical conditions	733	(77.1%)
Hypertension	122	(12.8%)
HIV	70	(7.4%)
Diabetes	19	(2.0%)
Asthma/COPD	17	(1.8%)
Gastritis/peptic ulcer disease	5	(0.5%)
Cardiovascular disease	3	(0.3%)
Epilepsy	2	(0.2%)
Other²	4	(0.4%)

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IQR: Interquartile range. COPD: Chronic Obstructive Pulmonary Disease.

¹No participants reported a history of: renal disease, previous tuberculosis, malignancy or psychiatric problems.

²Anaemia (1), hayfever (1), hearing loss (1), migraines (1).

2. COVID-19 contact, symptoms and test results

Overall, 122 (13%) clients reported having had contact with someone with COVID-19; 70 (57%) reported that they were wearing appropriate PPE at the time. Almost a quarter of clients (n = 213, 22%) reported at least one symptom of: cough, fever, night sweats, loss of taste, loss of smell, fatigue, sneeze, runny nose, headache, joint pains, sore throat, diarrhoea or mouth ulcers, or a recorded fever >37.5°C. Of the 213 clients with symptoms or a raised temperature, 187 (88%) were tested for SARS-CoV-2. A further 23 clients without symptoms were also tested, of whom 20 (87%) reported contact with someone with COVID-19. Overall, 210 SARS-CoV-2 swabs were performed on healthcare workers, of which 12 (5.7%) were positive.

In the first three weeks of the study, 52/66 (79%) of those presenting to services reported COVID-19 symptoms. Six clients reporting symptoms did not want to be tested, and therefore 46 symptomatic clients and an additional five who did not report symptoms (total 51), were tested for SARS-CoV-2 (S1 Table). Six (12% of those tested; 9% of those enrolled) had a positive result (Fig 1).

The proportion of clients reporting symptoms suggestive of SARS-CoV-2 declined over time, from 79% to 71/251 (28%) and 87/309 (14%) in weeks 1–3, 4–6 and 7–14 respectively. In week 4–6, 79/251 (31%) clients were tested for SARS-CoV-2 (66 symptomatic and 13 asymptomatic), and six had a positive SARS-CoV-2 test (2% of those enrolled and 8% of those tested). There were no further positive test results between 31 August and 30 October 2020. All clients testing positive for SARS-CoV-2 were successfully contacted by telephone; at the time of review, four (33%) were asymptomatic and the remaining eight had only mild symptoms. All made an uncomplicated recovery and none required hospital admission. However, 5 (42%) requested referral to counselling services.

3. COVID-19 safety, knowledge, attitudes and behaviour

When asked about availability of resources in their workplace, less than half (n = 435, 46%) stated running water was “always” available, and 753 (79%) stated that soap was “always” available (Table 2) In total, 884 (93%) clients reported they had been given a mask to wear, but of these, 431 (49%) stated there were times when no mask was available. Most (n = 742, 78%) reported having received training on SARS-CoV-2 IPC. When asked about the factors which prevented them from effectively protecting themselves from SARS-CoV-2 in the workplace and community, 474 (50%) cited shortage of water, and 489 (51%) shortage of masks. Other factors mentioned included loss or decrease of wages (n = 655, 69%), increasing prices in the market (n = 604, 64%) and lack of reliable information about COVID-19 (n = 523, 55%).

Table 2. Healthcare workers’ responses to questions about COVID-19 knowledge, attitudes, resources and challenges (n = 950).

*Are these resources always* available at your workplace?**
Water	435 (45.8%)
Mask	453 (47.7%)
Bleach	688 (72.4%)
Soap	753 (79.3%)
Hand sanitizer	847 (89.2%)
What barriers prevent you from protecting yourself against COVID-19?
Loss or decrease of wages	655 (68.9%)
Increasing prices in the market	604 (63.6%)
Lack of reliable information about COVID-19	523 (55.1%)
Shortage of masks	489 (51.5%)
Shortage of water	474 (49.9%)
Shortage of gloves	397 (41.8%)
Shortage of hand sanitizer	314 (33.1%)
Shortage of soap	191 (20.1%)
Knowledge questions (number and % answering correctly)
There is no effective cure for COVID-19 (true)	763 (80.3%)
Not all people with SARS CoV-2 develop severe disease (true)	755 (79.5%)
SARS-CoV-2 cannot be transmitted when symptoms are not present (false)	677 (71.3%)
Severe disease is more likely in elderly, chronic illness and obesity (true)	888 (93.5%)
Isolation of infected people effectively reduces spread (true)	919 (96.7%)
Contacts of COVID-19 should quarantine for 14 days (true)	885 (93.2%)
Handwashing with soap is effective against SARS-CoV-2 (true)	894 (94.1%)
0.5% bleach can be used to decontaminate surfaces of SARS-CoV-2 (true)	883 (92.9%)
50% ethanol can be used to decontaminate surfaces of SARS-CoV-2 (false)	266 (28.0%)
70% ethanol can be used to decontaminate surfaces of SARS-CoV-2 (true)	653 (68.7%)
Boiling water can be used to decontaminate surfaces of SARS-CoV-2 (false)	388 (40.8%)
*Median (interquartile range) knowledge score (out of maximum 11)*	8 (8–9)
How do you feel about the coronavirus pandemic?
Very fearful	179 (18.8%)
Fearful	155 (16.3%)
Fearful, but optimistic	428 (45.1%)
Neutral	188 (19.8%)

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Clients were asked how serious they felt the COVID-19 situation was, on a scale of 1 (not serious) to 10 (very serious). The median score was 6 (IQR 4–8) with a significant decline over time, from 9 (IQR 8–10) in the first week of enrolment, to 4 (IQR 3–5) by the fourteenth week (Fig 2) (p<0.001). When asked how they felt about COVID-19, the most common response (n = 428, 45%) was “fearful, but optimistic”; 334 (35%) answered “fearful” or “very fearful” and the remainder (n = 188, 20%) were “neutral”; the latter proportion increased over time, from 9% in the first three weeks, to 28% in the last four weeks (p<0.001).

Fig 2 — Higher scores indicate higher severity. *(All dates—2020)*.

Clients generally had good knowledge about SARS-CoV-2, answering a median 9 (IQR 8–9) questions correctly on an 11-point knowledge questionnaire (Table 2). In total, 919 (97%) answered that isolation of infected people effectively reduces spread of SARS-CoV-2, and 885 (93%) that contacts of those with SARS-CoV-2 should quarantine for 14 days. However, only 677 (71%) answered that SARS-CoV-2 could be transmitted by people who did not have symptoms, and 755 (80%) that not everyone with SARS-CoV-2 develops severe disease.

4. Other medical conditions

The median BMI was 26.3 kg/m² (IQR 23.0–30.8), with 319 (34%, 95% confidence interval [CI] 31–37%) of clients overweight and a further 263 (28%, 95% CI 25–31%) obese (Table 3). BMI increased by a mean of 0.20 kg/m² per year ofage (95% CI 0.16–0.23, p<0.001). Almost two thirds (517/781, 66%) of female clients had a BMI of 25 or above, compared to 65/167 (39%) of men (odds ratio [OR] adjusted for age 3.5, 95% CI 2.4–5.1, p<0.001).

Table 3. Prevalence of chronic diseases identified by screening health care workers.

Medical condition Screening test (number screened)	Number (%)	Of those screened, number (%) with new abnormal finding¹
Obesity: BMI kg/m² (n = 948)
Underweight <18.5	24 (2.5)	NA
Normal weight 18.5 to <25	342 (36.1)
Overweight 25 to <30	319 (33.6)
Obese 30+	263 (27.7)
Hypertension: BP mmHg (n = 949)
Normal BP <140/90	606 (63.9)	NA
Raised BP ≥140/90	343 (36.1)	260/949 (27.4%)
Diabetes: HbA1c % (n = 879)
Normal <6.0%	607 (69.1)	NA
Pre-diabetes 6.0–6.4%	184 (20.9)	181/881 (20.5%)
Diabetes ≥6.5%	88 (10.0)	79/879 (9.0%)
Common mental disorder: Shona Symptom Questionnaire-14 (SSQ-14) (n = 951)
SSQ <8	881 (92.6)	NA
SSQ ≥8	70 (7.4)	70/951 (7.4%)
HIV: Onsite HIV blood test (n = 458) ²
Negative	456 (99.6)	NA
Positive	2 (0.4)	2/458 (0.4%)
TB: GeneXpert MTB/RIF (n = 9)
Negative	9 (100.0)	NA

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CI: Confidence interval. BMI: Body Mass Index. BP: blood pressure. TB: tuberculosis.

¹ Excluding those with previous diagnosis.

² A further 76 oral self-tests were performed, for which results are not available.

At enrolment, 343 (36%) had a blood pressure of 140/90mmHg or above, of whom 83 (24%) had a pre-existing diagnosis of hypertension. Eighteen clients (1.9%) had severe hypertension, defined as systolic blood pressure of 180mmHg or above, and/or diastolic blood pressure of 120mmHg or above. Independent risk factors for raised blood pressure included age (adjusted OR [aOR] 1.05 per year of age, 95% CI 1.03–1.07, p<0.001), male sex (aOR 1.89, 95% CI 1.31–2.74, p = 0.001) and having a raised BMI (aOR 2.00, 95% CI 1.46–2.74, p<0.001). In the cohort, 121 had a pre-existing diagnosis of hypertension, meaning that 83/121 (69%) of those with known hypertension had a raised blood pressure at screening, including 76/112 (68%) of those who reported taking antihypertensive medications. Adding those with a previous diagnosis of hypertension but normal blood pressure at enrolment, the overall estimated prevalence of hypertension in healthcare workers was 40% (95% CI 37–43%).

Of 881 clients who had an HbA1c measured, 184 (21%) had pre-diabetes (HbA1c 6.0–6.4%), and 88 (10%) had diabetes (HbA1c ≥6.5%). Of these 88, only 9 (10%) had been previously diagnosed with diabetes. The odds of having an HbA1c ≥6.5% increased with age (aOR 1.04 per year of age, 95% CI 1.02–1.07, p = -0.001), but was not significantly associated with male sex (aOR 0.58, 95% CI 0.29–1.12, 0.13) or of having a BMI above 25 (OR 1.16, 95% CI 0.70–1.92, p = 0.57). Of the 17 clients in the cohort who reported a previous diagnosis of diabetes, nine (53%) had an HbA1c≥6.5%, including 6 (46%) of those taking oral antidiabetic medications, and 3/5 (60%) of those taking insulin. Including those with a known diagnosis of diabetes, the estimated prevalence of diabetes in healthcare workers was 10% (95% CI 8–12%).

In total, 70 clients (prevalence 7%, 95% CI 6–9%) had an SSQ-14 score ≥8, suggestive of a common mental disorder: 8% of female compared to 2% of male clients (aOR 3.75, 95% CI 1.35–10.4, p = 0.011). Nine (0.9%) clients had a very high score of 11 or above. No client reported a pre-existing diagnosis of mental health problems. There was no association with age (aOR 1.01 per year of age, 95% CI 0.98–1.04) or level of concern about COVID-19 (aOR 0.98, 95% CI 0.98–1.08). Of those with an SSQ-14 score ≥ 8, 44% reported being “fearful” or “very fearful” of COVID-19, compared to 34% of those with an SSQ-14 score <8 (p = 0.24).

Of 881 clients without known HIV, 457 (52%) received a provider-performed blood-based HIV test. Of these, two clients tested positive for HIV (0.4%). A further 76 (9%) clients not known to have HIV accepted an oral HIV test for self-testing off-site (the results of which are unknown); the remaining 348 (39%) did not want an HIV test. Including those who were known to be HIV-positive prior to enrolment, the HIV prevalence in healthcare workers was 8% (95% CI 6–9%).

Overall 7% (69/951) of clients reported at least one TB symptom but most were unable to produce a sputum sample. Of nine sputum samples tested using Xpert MTB/Rif, all were negative.

Discussion

Healthcare worker incidence of SARS-CoV2 infection mirrored the national incidence over the period the services were offered. Worldwide healthcare workers are known to be at high risk of SARS-CoV-2 infection [1–3]. However, in Zimbabwe a high proportion of healthcare workers had only limited patient contact during the study period, due to the hospital operating in emergency mode and ongoing staff strikes, which limited inpatient activity. It is therefore likely that the SARS-CoV-2 infections identified by this study reflect transmission within the community.

Despite good knowledge about SARS-CoV-2 transmission and prevention, healthcare workers reported significant challenges in protecting themselves against the virus at work and at home. The majority of clients stated that running water was not always available in their workplace, and while most of them had been given a mask at some point, they were not always available. A 2019 WHO/UNICEF report found that 19% of healthcare facilities in Zimbabwe (and 26% globally) lack basic water services, and those that exist may be intermittent or unreliable [11]. This poses a significant challenge to IPC, both for SARS-CoV-2 and for other infectious pathogens, and highlights an urgent need for improved infrastructure [26]. It was clear that clients’ ability to protect themselves was also impacted by circumstances outside the healthcare system, with low wages, increasing cost-of-living and lack of health information cited as important challenges. The SARS-CoV-2 pandemic and associated control measures are predicted to cause significant economic damage across the continent [27,28] with potentially profound socioeconomic implications [8,29]; healthcare workers are not immune from the wider socioeconomic forces impacting their communities.

SARS-CoV-2 testing was primarily offered to those with symptoms or fever, although in practice a small number of clients without symptoms were also tested (particularly clients who reported significant contact with someone with SARS-CoV-2). The true rates of SARS-CoV-2 infection may therefore have been higher. Asymptomatic and pauci-symptomatic infection is well-recognised, and transmission by people without symptoms may account for around half of SARS-CoV-2 transmission [30]. Notably a third of the healthcare workers testing positive for SARS-CoV-2 in this study had no symptoms. In the healthcare context a high rate of minimally symptomatic infections makes it more challenging to prevent transmission between healthcare workers and potentially to vulnerable patients, particularly in the context of suboptimal PPE [3]. Notably 29% of healthcare workers in this study did not know that the virus could be transmitted by people without symptoms.

Reassuringly all clients with a positive SARS-CoV-2 test had mild disease; none required hospitalisation. The young age of this cohort may have been protective against severe disease; however, there was an appreciable prevalence of potential risk factors for severe COVID-19. For example, the majority of healthcare workers were overweight or obese, a third had elevated blood pressure readings and 10% had diabetes. This is worrying because diabetes, hypertension and obesity have all been associated with increased risk of severe COVID-19 [19–21].

COVID-19 threatens the psychological as well as physical wellbeing of healthcare workers globally [31], and studies have reported extremely high prevalence of psychological symptoms in frontline healthcare workers [6]. In this study, healthcare workers reported COVID-19 as a serious concern, but the perceived severity declined over time, again mirroring the trend in case numbers nationally. The proportion of workers with a raised SSQ-14, suggestive of common mental disorder, was stable over time and not significantly associated with their feelings about COVID-19. This may reflect a high pre-existing burden of mental illness in general: healthcare workers in Zimbabwe are subject to continuous pressures from a precarious socioeconomic context and challenging working environments, independent of the current pandemic.

This study demonstrates the feasibility of conducting comprehensive occupational health screening during a pandemic. Access to occupational health services is often limited for healthcare workers in low- and middle- income countries, despite them being at high risk of infectious diseases and critical for the function of the wider healthcare system. Identification and treatment of chronic conditions in healthcare workers demands additional attention currently because these conditions are associated with severe COVID-19 [19–21]. In this study, healthcare workers had a similar prevalence of hypertension to the general population in Zimbabwe [16], while the 10% diabetes prevalence was higher than a previous estimate of the Zimbabwean pooled population prevalence of 5.7% [17]. Most (e.g. 75% of those with high blood pressure, 90% of those with diabetes) were undiagnosed, suggesting that screening healthcare workers for non-communicable diseases and risk factors may facilitate earlier diagnosis. However, this must go hand in hand with provision of effective treatment and follow-up. Half of those with known diabetes had an HbA1c above 6.5%, and two-thirds of those reporting known hypertension had a raised blood pressure at screening, including many individuals who were on treatment; this suggests that control of long-term conditions is inadequate even when diagnosed.

Unlike other comorbidities, coverage of prior HIV screening was high, with 96% of clients reporting a previous HIV test. There was a high acceptability of HIV testing within the occupational health service, with more than half of clients without an HIV diagnosis accepting a blood-based test, and a further 9% accepting an oral self-test. The overall HIV prevalence of 8% was slightly lower than Zimbabwe’s adult HIV prevalence of 12.7% [15]. Offering HIV screening to healthcare workers did identify additional cases. Nevertheless, overall 97% of HIV infections were previously diagnosed, and all with known HIV reported current ART. This reflects robust programming and investment in HIV testing and treatment services, and contrasts with the high burden of undiagnosed non-communicable disease seen in this cohort. Globally, non-communicable diseases account for 60% of disability-adjusted life-years lost but receive less than 2% of overseas development assistance for health (compared to 3% and 30% respectively for HIV) [32].

There was a 7% prevalence of TB symptoms, but rates of TB testing were low, largely because clients were unable to produce sputum. Providers may also have been prioritising SARS-CoV-2 testing for those with respiratory symptoms.

This study has several important strengths. A high number of healthcare workers were screened over a very short period of time, appropriate screening tools were used, and all testing was done by trained research staff. This is the first report of a large comprehensive occupational health screening programme in Zimbabwe, and one of few reports covering SARS-CoV-2 from the region, adding to our understanding of the health and wellbeing of healthcare workers in the pandemic.

There were several important limitations. There was significant selection bias in those self-referring to the service; particularly early in the study, symptomatic clients who were concerned about SARS-CoV-2 were over-represented. Due to limitations in testing capacity nationally, testing was targeted to those with symptoms; some asymptomatic SARS-CoV-2 infections may have been missed. Thirdly, recruitment coincided with the first epidemic peak in Zimbabwe, and began four months after the first cases were reported in the country. It is likely that some clients may have had infection before the service was initiated; results from other settings have shown healthcare workers may be infected early in epidemics [33]. Serological testing may help to clarify the true burden of SARS-CoV-2 infection in Zimbabwean healthcare workers. Thirdly, occupational health assessment was necessarily limited to screening; a single blood-pressure reading is not sufficient to diagnose hypertension, nor a raised SSQ-14 score to diagnose mental illness. However, they are appropriate screening tests (SSQ-14 was developed and validated for use in Zimbabwe [24]) to prompt referral for more thorough assessment. Clients were referred for further care but data on linkage to care were not available, which limits our ability to assess effectiveness of screening, particularly as control of hypertension and diabetes was poor in a high proportion of clients previously diagnosed.

Conclusion

We observed important levels of SARS-CoV-2 infection amongst Zimbabwean healthcare workers, which declined in line with community incidence. All infections were non-severe, and many were pauci- or asymptomatic. Healthcare workers highlighted the lack of resources for IPC and wider socioeconomic challenges as important barriers to protecting themselves from SARS-CoV-2. While healthcare workers were concerned about COVID-19, their perception of the seriousness of the pandemic waned over time.

It was feasible to offer comprehensive occupational health services during a pandemic to a large number of healthcare workers. SARS-CoV-2 testing offered an opportunity to integrate comprehensive screening for other common conditions, revealing a considerable burden of previously undiagnosed comorbidities which may increase the risk of severe COVID-19 and cause morbidity in their own right. Despite themselves being healthcare workers, a third of clients lacked medical insurance, thereby limiting their own access to care. Healthcare workers are critical in the global fight against COVID-19, and it is essential to support their physical and psychological wellbeing during the pandemic.

Supporting information

S1 Table. Demographic and clinical characteristics of participants not tested, testing negative, and testing positive for, SARS-CoV-2.

(DOCX)

Click here for additional data file.^{(16.6KB, docx)}

S1 File. Anonymised datafile for participants.

Certain demographic indicators have been removed or categorised to preserve participant confidentiality.

(XLSX)

Click here for additional data file.^{(318.4KB, xlsx)}

S2 File. Copy of electronic case report forms used in data collection.

(PDF)

Click here for additional data file.^{(483.7KB, pdf)}

Data Availability

The minimal data set is available within the paper and its Supporting information files.

Funding Statement

This work was supported by Global Public Health strand of the Elizabeth Blackwell Institute for Health Research, funded under the University of Bristol’s QR GCRF strategy (ref:H100004-148. Awarded to CLG, KK, RAF, PM. http://www.bristol.ac.uk/blackwell/health-research/covid-19-research/). This study was additionally funded by UK aid from the UK government (FCDO) (ref 668 303) (KK) https://www.ukaiddirect.org/; and by funding from the government of Canada https://www.international.gc.ca/world-monde/funding-financement/index.aspx The views expressed do not necessarily reflect the policies of the respective governments. RF is funded by a Wellcome Trust Senior Fellowship 206316_Z_17_Z https://wellcome.org/grant-funding The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Hannah Rickman is supported by a Wellcome Trust Clinical PhD Fellowship (Grant number 203905/Z/16/Z).

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PLoS One. doi: 10.1371/journal.pone.0260261.r001

Decision Letter 0

Claudia Marotta

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present.

29 Mar 2021

PONE-D-21-03459

Comprehensive occupational health services for front-line healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

PLOS ONE

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Reviewer #1: It looks good sound as first National study, you already mentioned your limitations, be sure about reviewing the language and pilgiarism. Also you can add to your recommendations part related to National policy for health care workers.

Reviewer #2: Critical review of the manuscript titled

”Comprehensive occupational health services for front-line healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic”

submitted to Archives of Environmental & Occupational Health

The authors have set up an occupational health screening service for healthcare workers (HCWs) in Harare, Zimbabwe, in the summer of 2020 at the peak of the first wave of COVID-19 pandemic in the country. The service was voluntarily visited by HCWs from Harare healthcare facilities, where they received a complex screening including symptoms and testing of a series of communicable (SARS-CoV-2, HIV, TB) and non-communicable (obesity, hypertension, diabetes, mental disorders) diseases. The effort is appreciable and the findings in the 27th July and 30th October period are well analysed and presented. The manuscript is written in perfect scientific style and format.

I have only a few major and minor comments related to limitations and possible additional analysis of study findings.

Major comments

1) The authors mention that the voluntary participation in the screening could introduce selection bias, which certainly exist. To that an important additional information is the size of the source/target population, which is not reported. How big is the source population, i.e. healthcare staff in Harare and at the Parirenyatwa Group of Hospitals?

2) How was the occupational screening service advised? Did the advertisement reach the target population evenly?

3) The title names front-line HCWs as the study population; however, the screening was offered free-of-charge for any HCWs, if I understand correctly. How was the participation of front-line HCWs assured?

4) “All clients were asked about symptoms of COVID-19 including fever, cough, coryzal symptoms, joint pain, headache and loss of smell or taste.” (page6, lines 19-20). How was the set of symptoms determined? E.g. fatigue and chest tightness are also typical symptoms of COVID-19 disease, but not on the list.

5) Who stayed out of SARS-CoV-2 testing? Were they different in any characteristics from those, who accepted testing?

6) “A further 23 clients without symptoms were also tested, of whom 20 (87%) reported contact with someone with COVID-19.” (page10, lines 18-19). It would be interesting to see how the proportion of positive PCR test results varied between groups of different indications for testing.

7) On Figure 1, the proportion of positive results from those tested would give a more valid picture since the absolute number of attendances to the screening service changed with time.

8) Similarly to the tested non-communicable disease, the potential risk factors of COVID-19 positivity could also be analysed (i.e. availability and use of preventive measures, knowledge and attitude), even though there were only a limited number of cases.

9) Was there a question on the possible occupational exposure to COVID-19 patents in a healthcare setting? The authors speculate that most of the SARS-CoV-2 infections are probably community transmissions. It would be interesting to estimate it from available data.

10) “All infections were non-severe, and many were pauci- or asymptomatic.” (page 17, lines 22-23). The study provides only a snapshot about the status of the positively tested participants. Is there follow-up information about the pauci- and asymptomatic cases? Some of them may have developed more severe symptoms later or became long-COVID cases.

Minor comments

1) “While the clients waited for screening, a trained researcher administered a baseline questionnaire, which included questions on past medical history, knowledge about COVID-19 prevention and management, attitudes and behaviours related to COVID-19 and availability of PPE and other resources in their workplace.” (page 8, lines 2-5). What about the SSQ questionnaire? Was it not administered with the baseline questionnaire?

2) “Overall 7% (69/951) of clients reported at least one TB symptom but most were unable to produce a sputum sample.” (page 13, lines 16-17). What does “unable to produce a sputum sample” mean?

3) “Secondly, recruitment coincided…” (page 17, line 9). It is actually the third limitation.

4) “We observed significant levels of SARS-CoV-2 infection amongst Zimbabwean healthcare workers,…” (page 17, lines 21-22). The significance of the prevalence of infection depends on the base for comparison. The rate is not high compared to many other places and times.

Summary

The manuscript discusses the observations of a very important occupational health service for HCWs during the COVID-19 pandemic. The data are correctly analysed and interpreted, and the manuscript is well-written. However, there is room for some clarification and extension of analysis as suggested in the comments.

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PLoS One. 2021 Nov 23;16(11):e0260261. doi: 10.1371/journal.pone.0260261.r002

Author response to Decision Letter 0

1 Jun 2021

Dear Editor,

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We are committed to providing open access data, within the confines of producing a de-identified minimal dataset. All participants in the study are healthcare workers within a clearly identifiable (and named) healthcare facility, and there is a substantial risk that individuals could be identified because of a combination of demographic characteristics (e.g. sex and occupation). The principal investigator and collaborators felt that there was an unacceptable risk to participant confidentiality, particularly as these data include sensitive health information (including about HIV status and other chronic illnesses). We have therefore produced a deidentified dataset in which information on occupation and sex has been removed, and ages replaced with age categories, permitting the reproduction of almost all analyses without compromising confidentiality. This follows the guidelines at http://www.bmj.com/content/340/bmj.c181.long as suggested. This dataset has been submitted as part of the re-submission.

Furthermore, please include a copy of the baseline questionnaire used as a part of the study as Supporting File.

Thank you. All participants were adults aged over 18; this has been added to the methods. Verbal consent was recorded electronically as part of the clinical questionnaire, with the ethics committees waiving a requirement for written consent; this is documented in the methods section. Questionnaire included as a supporting file.

REVIEWER COMMENTS

Major comments

Parirenyatwa Group of Hospitals employs an excess of 2000 staff. However, most of the domestic workers and security staff are employed by private companies. In addition, students including those studying nursing, medicine and laboratory sciences, who had access to the screening service are not included in the staff estimates. Furthermore, while Parirenyatwa Group of Hospitals employs more than 2000 staff, the staff contingent actually working during the study period was much smaller. As outlined in the manuscript “As a result of the national lockdown, the facility moved to “emergency operations”, with outpatient services closed from the end of March 2020. Provision of other health services was limited by the industrial action by doctors and nurses.” Given the limitations regarding the size of the catchment population we are unable to provide an estimate about the proportion reached with this service. We have added a line to the methods to explain this.

2) How was the occupational screening service advised? Did the advertisement reach the target population evenly?

We have added a line in the methods to explain how the service was advertised. All care was taken to ensure that news of the service reached all work groups, but this was a pragmatic study and data were not collected on how advertisement reached different groups.

We appreciate that the distinction of a “front-line” healthcare worker may be misleading, so have removed this descriptor from the title and conclusion. The service was set up to be inclusive from the start, i.e. we encouraged domestics, security staff and also people working as part of the estates (for example those working in the laundry and operating the incinerator) to access the services. These staff members may not be considered “front-line” health care workers, but may have a considerable risk of being exposed to SARS-CoV-2.

Thank you – a fuller list of symptoms was also included but is not listed in full in the manuscript – please see questionnaire in Supplementary Materials for more information. At the time of recruitment there was not an internationally-accepted list of symptoms suggestive of possible COVID, so this list was derived from available guidance and consensus medical opinion.

5) Who stayed out of SARS-CoV-2 testing? Were they different in any characteristics from those, who accepted testing?

Few participants declined SARS-CoV-2 testing when offered (particularly as there was very limited availability of SARS-CoV-2 testing in Zimbabwe at the time), but data on this were not specifically collected. Of the 66 clients with COVID-19 symptoms, six were not tested. We have included the descriptive characteristics of those not tested for SARS-CoV-2, those testing negative, and those testing positive, as a supplementary table (Supplementary Table 1).

We have included the descriptive characteristics (including contact history) of those not tested for SARS-CoV-2, those testing negative, and those testing positive, as a supplementary table.

7) On Figure 1, the proportion of positive results from those tested would give a more valid picture since the absolute number of attendances to the screening service changed with time.

Thank you for the suggestion. We wanted also to demonstrate the finding that, during the first weeks of the service, symptomatic clients predominated leading to a high proportion being tested, and that the balance of service users changed over time as well as the proportion testing positive, and therefore chose to present the data as in Figure 1.

We considered this, but the low number of cases precluded any meaningful statistical analysis and we therefore did not include this within the main body of the analysis. As the occupational health service continues to operate and to identify additional cases, this may be possible in future analyses. We have included the descriptive characteristics of those not tested for SARS-CoV-2, those testing negative, and those testing positive, as a supplementary table.

We agree that this is an interesting question. Our questionnaire only asked about contact to those with COVID-19, and did not differentiate between occupational and non-occupational exposure. This may be changed for future iterations.

All participants were followed up until symptoms had fully resolved, and until 14 days from their positive test. We have expanded in the results. Of course it is possible that some participants may have subsequently developed post-COVID syndromes, but at the time follow-up ended all participants were well.

Minor comments

Thank you – we have clarified in the methods section. Clients were asked to fill the SSQ questionnaire while they were waiting. The questionnaire was self-administered to ensure that clients had enough time to consider the questions and minimise social-desirability bias. The SSQ questionnaire includes questions which some people may not feel comfortable to answer truthfully when asked by another person, for examples questions on self-harm and crying. The client submitted to questionnaire to the nurse – who checked the score and looked for any answers which would raise red flags.

Even amongst symptomatic, hospitalised or immunosuppressed cohorts with presumptive TB, a high proportion are unable to spontaneously expectorate a sputum sample. One might expect this proportion to be even higher amongst minimally-symptomatic clients identified in untargeted screening. For infection prevention and control purposes a decision was taken not to perform sputum induction.

3) “Secondly, recruitment coincided…” (page 17, line 9). It is actually the third limitation.

Thank you; amended.

We have edited this to “important” to avoid the suggestion of a statistical comparison.

Attachment

Submitted filename: ICAROZ_Response to reviewers.docx

Click here for additional data file.^{(21.8KB, docx)}

PLoS One. doi: 10.1371/journal.pone.0260261.r003

Decision Letter 1

Muhammad Adrish

15 Jul 2021

PONE-D-21-03459R1

Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

PLOS ONE

Dear Dr. Rickman,

==============================

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Reviewer #2: Critical review of the revised manuscript titled

”Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic”

submitted to PLOS ONE

The authors have responded to all the major and minor comments in an acceptable way. Nevertheless, the place of the modifications made in the manuscript are not specified in the responses (line numbers), neither highlighted in the text of the manuscript (track changes or coloured background). Without this, nowadays routinely provided, guiding information I am not able to follow the amendments of the manuscript. I could also find access to the supplementary materials, too, that have also been modified during the revision.

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PLoS One. 2021 Nov 23;16(11):e0260261. doi: 10.1371/journal.pone.0260261.r004

Author response to Decision Letter 1

6 Oct 2021

Dear Editor,

Thank you for considering our manuscript for publication and apologies for the delayed response to comments.

Please see below an amended version of the initial response to reviewers, which now includes line references for all changes. As requested by PLOS One, we had uploaded both a tracked changes and a clean, unmarked version of the manuscript, which were both included in the previous submission. The line references refer to the tracked changes version (included second in the submission PDF). We hope this will make the response easier to follow, but please do contact us if there are any additional concerns.

We are sorry to hear there were problems with the supplementary materials – these had been uploaded with the previous submission, but we have contacted the journal to make sure these are all accessible and there are no other issues.

Kind regards,

Dr Hannah Rickman

Attachment

Submitted filename: ICAROZ_Response to reviewers_2.docx

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PLoS One. doi: 10.1371/journal.pone.0260261.r005

Decision Letter 2

Akihiro Nishi

8 Nov 2021

Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

PONE-D-21-03459R2

Dear Dr. Rickman,

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.

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The two reviewers upon the original and second submissions are satisfied. I am happy to suggest Accept at this moment.

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Comments to the Author

Reviewer #2: All comments have been addressed

**********

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Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #2: Yes

**********

6. Review Comments to the Author

Reviewer #2: Critical review of the revised manuscript titled

”Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic”

submitted to PLOS ONE

The authors have provided responses to all the major and minor comments and amended the manuscript at appropriate places. The manuscript is acceptable in the present form. Nevertheless, the authors might consider two further recommendations when finalizing the publication.

• The “Contact of TB case” option is duplicated in Q13 of the questionnaire.

• The answer given to major comment 7) about Figure 1 could be included in the text for clarification.

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Reviewer #2: No

PLoS One. doi: 10.1371/journal.pone.0260261.r006

Acceptance letter

Akihiro Nishi

15 Nov 2021

PONE-D-21-03459R2

Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

Dear Dr. Rickman:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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.

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on behalf of

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Demographic and clinical characteristics of participants not tested, testing negative, and testing positive for, SARS-CoV-2.

(DOCX)

Click here for additional data file.^{(16.6KB, docx)}

S1 File. Anonymised datafile for participants.

Certain demographic indicators have been removed or categorised to preserve participant confidentiality.

(XLSX)

Click here for additional data file.^{(318.4KB, xlsx)}

S2 File. Copy of electronic case report forms used in data collection.

(PDF)

Click here for additional data file.^{(483.7KB, pdf)}

Attachment

Submitted filename: ICAROZ_Response to reviewers.docx

Click here for additional data file.^{(21.8KB, docx)}

Attachment

Submitted filename: ICAROZ_Response to reviewers_2.docx

Click here for additional data file.^{(22.2KB, docx)}

Data Availability Statement

The minimal data set is available within the paper and its Supporting information files.

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PERMALINK

Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic

Fungai Kavenga

Hannah M Rickman

Rudo Chingono

Tinotenda Taruvinga

Takudzwa Marembo

Justen Manasa

Edson Marambire

Grace McHugh

Celia L Gregson

Tsitsi Bandason

Nicol Redzo

Aspect Maunganidze

Tsitsi Magure

Chiratidzo Ndhlovu

Hilda Mujuru

Simbarashe Rusakaniko

Portia Manangazira

Rashida A Ferrand

Katharina Kranzer

Roles

Abstract

Background

Methods

Results

Conclusions

Background

Methods

Study setting and population

Interventions and procedures

Laboratory methods

Data collection and statistical analysis

Ethics

Results

1. Client characteristics and comorbidities

Table 1. Characteristics of 951 enrolled healthcare workers.

2. COVID-19 contact, symptoms and test results

Fig 1. Numbers of healthcare workers (clients) enrolled and tested for SARS-CoV-2, overlain with weekly national case reports from Zimbabwe (all dates—2020).

3. COVID-19 safety, knowledge, attitudes and behaviour

Table 2. Healthcare workers’ responses to questions about COVID-19 knowledge, attitudes, resources and challenges (n = 950).

Fig 2. Healthcare workers’ responses to the question “On a scale of 1–10, how serious is the COVID-19 situation” by week of enrolment in the study.

4. Other medical conditions

Table 3. Prevalence of chronic diseases identified by screening health care workers.

Discussion

Conclusion

Supporting information

Data Availability

Funding Statement

References

Decision Letter 0

Claudia Marotta

Roles

Transfer Alert

Author response to Decision Letter 0

Decision Letter 1

Muhammad Adrish

Roles

Author response to Decision Letter 1

Decision Letter 2

Akihiro Nishi

Roles

Acceptance letter

Akihiro Nishi

Roles

Associated Data

Supplementary Materials

Data Availability Statement

ACTIONS

PERMALINK

RESOURCES

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