ABSTRACT
Introduction:
Amidst the coronavirus disease 2019 (COVID-19) pandemic, the use of personal protective equipment (PPE) is mandatory for healthcare workers to remain protected against infection. The present study was undertaken to evaluate challenges faced by the healthcare workers while using level 3 PPE.
Methods:
This hospital-based study was conducted among resident doctors selected by convenience sampling method using a pretested, semi-structured, self-administered questionnaire after getting informed consent from the participants to collect data on the somatic, psychological, and technical problems faced while working in PPE. Bivariate and multivariable logistic regression was done between outcome variables and other independent variables to check for the association.
Results:
Of the total, 252 resident doctors completed the survey, their age ranged from 22 to 36 years with 140 (55.6%) males and 112 (44.4%) females. One-twenty-nine (51.2%) residents were trained to work in ICU, 73 (29%) participants used PPE ≤10 times and the rest 179 (71%) used PPE more than 10 times. The difficulties faced were as follows: visual impairment (n = 244, 96.8%), headache (n = 226, 89.6%), breathing difficulty (n = 216, 85.7%), hearing impairment (n = 201, 79.8%), sweating (n = 242, 96%), and fear of being infected (n = 156,61.9%). Two-thirty-six (93.6%) participants felt that overall work quality reduced due to PPE. Headache, hunger, urge to micturate, anxiety, sleep disturbances, and need to change the timing of medication or diet were higher with increased duration of work with PPE.
Conclusion:
A longer duration of work is associated with headache, hunger, anxiety, and sleep disturbances. More research has to be done to improve the PPE to reduce problems like visual impairment, skin irritation, sweating, and breathing difficulty.
Keywords: COVID-19 ICU, headache, healthcare worker, PPE, visual impairment
Introduction
Since the emergence of the novel Coronavirus in Wuhan, Hubei province (China) in December 2019, it started spreading rapidly all over the world.[1] On March 11, 2020, the World Health Organization (WHO) declared “coronavirus disease 2019” (COVID-19) a global pandemic.[2] Globally, there were approximately 102.4 million people infected with coronavirus and around 2.2 million deaths as of February 01, 2021.[3] The coronavirus spreads through direct contact from the respiratory aerosol generated by an infected person or by indirect contact such as contact with contaminated surfaces.[4,5] To remain protected against infection, the healthcare workers must have a barrier between infectious material (blood, body fluids, aerosol, and respiratory secretions) and themselves. Personal protective equipment (PPE) acts as a barrier and is commonly used in health care settings. PPE refers to protective clothing, shoes, gloves, face shields, goggles, facemasks, and/or respirators designed to protect the wearer.
There are three levels of PPE recommended in different situations. Level 1 is recommended for standard infection control precautions (SICPs) when no suspected or known infectious agent is present; Level 2 is recommended in case of dealing with suspected or confirmed infectious agents that spread by contact, droplet, or airborne route and are not highly contagious; and Level 3 enhanced precautions are recommended for suspected or confirmed infectious disease of the high possibility of contagious spread due to direct/indirect contact or airborne route.[6] Level 3 PPE consists of a fluid-resistant long-sleeved gown, disposable fluid-resistant hood, full-length plastic apron, disposable full-face visor, FFP3 respirator, 2 sets of long cuffed gloves, surgical boots/shoes, and disposable boot covers. The same is also recommended while dealing with confirmed COVID-19 patients in an intensive care unit (ICU).[7] Use of a PPE does not eliminate the source of infection; hence, the wearer is at risk of being exposed to the hazard if the equipment fails. PPE creates a barrier between the user and the working environment, which can put extra strain on the wearer and impair their ability to carry out work comfortably. Any of these reasons can discourage wearers from using PPE correctly, therefore placing them at risk of getting infected. Better ergonomically designed PPE may help to minimize these issues and can, therefore, help to ensure safe practices. Even after all the measures, the use of level 3 PPE for long hours continuously can be exhausting and extremely uncomfortable with an increasing magnitude over time.[8] Few studies evaluated the PPE associated headache, skin rashes, and discomfort in breathing while using facepiece respirators.[8,9,10,11,12,13,14,15,16,17,18]
During the pandemic, doctors across various streams including primary care physicians were called up for managing COVID-19 patients both in ward and ICU. In this study, we aimed to evaluate both the somatic and psychological issues faced while using level 3 PPE among the resident doctors of a tertiary care hospital in north India. This study would give a better idea to the primary care physicians about the comfort level while working with PPE and also aid the health care administrators/policymakers to formulate tailored preventive strategies to make the use of PPE more acceptable and environment friendly.
Materials and Methods
Study setting and population
This hospital-based cross-sectional study was performed at a tertiary care center in north India after obtaining ethical committee clearance IEC-428/22.05.2020, RP-19/2020. Voluntary participation from doctors posted in COVID-19 ICU who had completed at least two duties was sought for the study.
Study tool
After obtaining consent, a pretested, semi-structured, self-administered questionnaire was given to the participants and their responses were documented [Figure 1]. The questionnaire had the following domains: demographic data; data regarding the number of times PPE used and its duration; difficulty in breathing, hearing, or carrying usual work; ability to control thirst, hunger, or micturition; other physical and psychological affections while using PPE. The average time taken by the participant to complete the questionnaire was 15 minutes.
Figure 1.
Schematic representation of study implementation
Only those participants who had completed the questionnaire were included in the analysis.
Statistical analysis
Data entry was done in Microsoft Excel and imported to STATA version 14 for analysis. Continuous variables were reported with their mean ± SD. The normality of the data was checked statistically by the Shapiro–Wilk test. Spearman’s Rank Correlation Coefficient was used to assess the correlation between the quantitative variables. Bivariable and multivariable logistic regression analysis was conducted between outcome variables (headache, visual impairment, and breathing difficulty) and other independent variables to check for the association. Both crude and adjusted odds ratios with their 95% confidence intervals (CI) were computed. Those variables with a P value <0.1 were added to the multivariable model, excluding collinear variables and the strength of the association was reported by crude and adjusted odds ratio. A P value of < 0.05 was considered significant.
Results
Out of 310 residents contacted, 252 residents completed the questionnaire (response rate 81.3%) and were included in the analysis. The PPE suits and masks were for single use. Goggles, face shields, and shoes were reused after disinfection with a 1% sodium hypochlorite solution. Figure 2a shows a participant after donning level 3 PPE. The age of the participants ranged from 22 to 36 years. The demographic details of the participants are mentioned in Table 1. The challenges faced by the participants while working with the PPE is mentioned in Table 2. The various challenges faced were compared with the duration of work and the significant parameters are mentioned in Table 3.
Figure 2.

(a) Participant wearing level 3 PPE. (b) Schematic diagram showing sites prone to impression or bruise due to PPE
Table 1.
Characteristics of the study participants
| Characteristics | Participants n=252 (percentage) |
|---|---|
| Gender | |
| Male | 140 (55.6%) |
| Female | 112 (44.4%) |
| Age (in years) | |
| 22-30 | 190 (75.4%) |
| 30-40 | 62 (24.6%) |
| Department: | |
| Anesthesia | 78 (31%) |
| Ophthalmology | 72 (28.6%) |
| Medicine | 51 (20.2%) |
| Surgery | 29 (11.5%) |
| Others | 22 (8.7%) |
| Past medical illness: | 32 (22.3%) |
| Asthma | 16 (6.4%) |
| Tuberculosis | 5 (2%) |
| Hypertension | 5 (2%) |
| Hypothyroidism | 3 (1.2%) |
| Diabetes | 2 (0.8%) |
| Others | 3 (1.2%) |
| (Two people had both asthma and hypertension) | |
| PPE usage time in hours | |
| <3 | 11 (4.4%) |
| ≥3 and ≤5 | 34 (13.5%) |
| >5 and ≤7 | 191 (75.8%) |
| >7 | 16 (6.3%) |
| Number of times PPE used | |
| ≤5 | 31 (12.3%) |
| >5 and <10 | 42 (16.7%) |
| >10 | 179 (71%) |
| Types of mask used | |
| N95 with an expiratory valve | 128 (50.8%) |
| N95 without an expiratory valve | 73 (29%) |
| Both (on different duties) | 51 (20.2%) |
| Participants who used Level 3 PPE before COVID-19 pandemic | 15 (6%) |
| Participants using refractive glasses | 142 (56.3%) |
| Type of goggles used | |
| With adjustable headband | 220 (87.3%) |
| With vent | 163 (64.7%) |
COVID-19: Coronavirus disease 2019
Table 2.
Challenges faced by the resident doctors while working with level 3 PPE
| Characteristics | Participants n=252 (%) |
|---|---|
| Difficulty in mobility | 149 (66.2%) |
| Soiling of scrubs | 66 (29.3%) |
| Inadequate covering by PPE | 21 (8.3%) |
| Impressions and bruise on arms, legs, and face [Figures 1b, 2e, f]. | 226 (89.7%) |
| Fogging of | |
| Goggles [Figure 2d] | 248 (98.4%) |
| Face shield | 104 (41.3%) |
| Visual impairment | 244 (96.8%) |
| Pain over the nasal bridge or cheeks or ears due to goggles | 238 (94.4%) |
| Contact or sweat induced dermatitis [Figure 2 a, b, c] | 76 (30.2%) |
| Faceshield interfering mobility of the head | 161 (63.9%) |
| Headache | 226 (89.6%) |
| Difficulty in breathing | 216 (85.7%) |
| Mask | |
| Pain over the nose or ear | 244 (96.8%) |
| Irritation | 193 (76.6%) |
| Tearing of gloves while working or removing | 100 (39.6%) |
| Recurrent rolling of the outer glove sleeve | 124 (49.2%) |
| Difficulty in hearing | 201 (79.8%) |
| Fear of being infected during work | 156 (61.9%) |
| Aphthous ulcers | 42 (16.7%) |
| Nausea | 115 (45.6%) |
| Sweating | 242 (96%) |
| Itching | 107 (42.5%) |
| Not able to control thirst | 50 (20%) |
| Hungry during duty | 171 (67.8%) |
| Fainted during duty | 34 (13.5%) |
| Gastritis | 85 (33.7%) |
| Urge to micturate during duty | 129 (51.2%) |
| Burning micturition or urinary tract infection | 43 (17%) |
| Females: | n=112 |
| Long hair causing a problem | 75 (67%) |
| Menstruation interfering duty | |
| None of the times | 21 (18.8%) |
| Sometimes | 62 (55.4%) |
| Most of the times | 29 (25.9%) |
| Not satisfied with the quality of PPE | 76 (30%) |
| If given a choice, not willing to work in duty with PPE again | 171 (67.9%) |
| Overall work quality reduced due to PPE | 236 (93.6%) |
PPE: Personal Protective Equipment
Table 3.
Significant factors associated with the increased duration of work
| Parameters associated with increased duration of work | Spearman’s Rank Correlation Coefficient (r) | P |
|---|---|---|
| Pain over ears/nose | 0.29 | <0.001 |
| Headache | 0.18 | 0.004 |
| Anxiety | 0.20 | 0.002 |
| Sleep disturbances | 0.23 | <0.001 |
| Hunger | 0.15 | 0.02 |
| Need to make changes in diet content or timing | 0.27 | <0.001 |
| Gastritis | 0.16 | 0.01 |
| Urge to micturate | 0.23 | <0.001 |
Logistic regression of various parameters associated with headache is mentioned in Table 4. Participants who worked more than 5 hours had 2.89 times higher odds of developing a headache and participants who felt face shield heavy had 5.08 times higher odds of developing a headache. Participants with difficulty in breathing and sweating had 6.48- and 24.45-times higher odds of developing a headache.
Table 4.
Bivariable and multivariable logistic regression for various factors associated with headache
| Parameters | Crude Odds ratio (95% CI) | P | Adjusted Odds ratio (95% CI) | P |
|---|---|---|---|---|
| Age | ||||
| ≤30 years | 1 | 0.25 | ||
| >30 years | 1.89 (0.62-5.74) | |||
| Gender | ||||
| Male | 1 | 0.51 | ||
| Female | 1.31 (0.57-3.02) | |||
| Training in ICU | ||||
| Non-ICU trained residents | 1 | 0.34 | ||
| ICU trained residents | 0.67 (0.30-1.52) | |||
| Number of duties completed | ||||
| ≤10 | 1 | 0.26 | ||
| >10 | 1.61 (0.69-3.75) | |||
| Duration of each duty | ||||
| ≤5 h | 1 | 0.006 | 2.89 (1.02-8.19) | 0.04 |
| >5 h | 3.47 (1.43-8.12) | |||
| Use of refractive glass | 1.88 (0.82-4.27) | 0.13 | ||
| Use of vented goggles | 2.34 (1.03-5.32) | 0.04 | 2.46 (0.9-6.73) | 0.08 |
| Use of goggles with adjustable headband | 3.74 (1.46-9.52) | 0.006 | 3.01 (0.9-9.99) | 0.07 |
| Fogging | 9.33 (1.25-69.29) | 0.03 | 6.13 (0.71-52.13) | 0.09 |
| Pain due to goggles | 2.54 (0.66-9.8) | 0.17 | ||
| Visual impairment | 3.05 (0.58-15.98) | 0.18 | ||
| Face shield heavy | 3.87 (1.65-9.11) | 0.002 | 5.08 (1.76-14.61) | 0.003 |
| Difficulty in breathing | 4.8 (1.98-11.7) | 0.001 | 6.48 (2.2-19.03) | 0.001 |
| Sweating | 6.67 (1.74-25.4) | 0.005 | 24.45 (4.5-56.12) | <0.001 |
| Pain due to mask | 5.76 (1.29-25.7) | 0.02 | 2.16 (0.31-14.91) | 0.79 |
| Impaired hearing | 2.82 (1.19-6.66) | 0.02 | 2.42 (0.79-7.42) | 0.12 |
| Hunger | 1.63 (0.71-3.73) | 0.25 | ||
| Presence of long hair | 1.47 (0.47-4.6) | 0.5 |
Logistic regression of various parameters associated with difficulty in breathing is mentioned in Table 5. Participants who experienced headache and irritation due to masks had 3.87 times and 2.57 times higher odds of having difficulty in breathing. Logistic regression of various parameters associated with visual impairment is mentioned in Table 6.
Table 5.
Bivariable and multivariable logistic regression for various factors associated with difficulty in breathing
| Parameters | Crude Odds ratio (95% CI) | P | Adjusted Odds ratio (95% CI) | P |
|---|---|---|---|---|
| Age | ||||
| ≤30 years | 1 | 0.11 | ||
| >30 years | 2.22 (0.82-5.99) | |||
| Gender | ||||
| Male | 1 | 0.47 | ||
| Female | 1.3 (0.63-2.68) | |||
| Training in ICU | ||||
| Non-ICU trained residents | 1 | 0.35 | ||
| ICU trained residents | 1.4 (0.68-2.84) | |||
| Number of duties completed | ||||
| ≤10 | 1 | 0.57 | ||
| >10 | 0.79 (0.36-1.77) | |||
| Presence of systemic illness | ||||
| No | 0.68 (0.26-1.80) | 0.44 | ||
| Yes | ||||
| Duration of each duty | ||||
| ≤5 h | 1 | 0.46 | ||
| >5 h | 1.38 (0.58-3.27) | |||
| Use of refractive glass | 1.88 (0.82-4.27) | 0.13 | ||
| Headache | 4.8 (1.97-11.7) | 0.001 | 3.87 (1.42-10.54) | 0.008 |
| Use of mask with valve | 0.61 (0.27-1.3) | 0.23 | ||
| Correct fit of mask | 0.54 (0.21-1.37) | 0.19 | ||
| Irritation due to mask | 2.79 (1.33-5.85) | 0.007 | 2.57 (1.12-5.92) | 0.03 |
| Pain due to mask | 6.65 (1.57-27.8) | 0.01 | 4.01 (0.73-21.6) | 0.11 |
| Sweating | 0.65 (0.08-5.34) | 0.7 | ||
| Anxiety | 2.17 (1.04-4.5) | 0.04 | 0.98 (0.41-2.31) | 0.97 |
| Palpitation | 4.42 (1.3-14.72) | 0.02 | 2.69 (0.65-11.12) | 0.17 |
| Nausea | 2.46 (1.13-5.35) | 0.02 | 1.28 (0.47-3.48) | 0.61 |
| Giddiness | 2.83 (1.27-6.31) | 0.01 | 1.75 (0.60-5.12) | 0.31 |
Table 6.
Bivariable and multivariable logistic regression for various factors associated with visual impairment
| Parameters | Crude Odds ratio (95% CI) | P | Adjusted Odds ratio (95% CI) | P |
|---|---|---|---|---|
| Age | ||||
| ≤30 years | 1 | 0.98 | ||
| >30 years | 0.98 (0.19-4.97) | |||
| Gender | ||||
| Male | 1 | 0.10 | ||
| Female | 5.84 (0.7-48.2) | |||
| Training in ICU | ||||
| Non-ICU trained residents | 1 | 0.15 | ||
| ICU trained residents | 0.3 (0.06-1.55) | |||
| Number of duties completed | ||||
| ≤10 | 1 | 0.006 | 42.48 (1.31-1369.63) | 0.03 |
| >10 | 18.87 (2.27-156.3) | |||
| Duration of each duty | ||||
| ≤5 hours | 1 | 0.03 | 0.87 (0.10-7.15) | 0.87 |
| >5 hours | 4.95 (1.19-20.6) | |||
| Use of refractive glass | 2.20 (0.51-9.43) | 0.29 | ||
| Use of goggles with vent | 1.10 (0.25-4.72) | 0.89 | ||
| Goggles with adjustable headband | 2.38 (0.45-12.32) | 0.30 | ||
| Fogging | 145.8 (12.83-1656.51) | <0.001 | 57.54 (1.79-1840) | 0.02 |
| Pain due to goggles | 43.51 (8.97-210.9) | <0.001 | 32.85 (3.26-330.29) | 0.003 |
| Headache | 3.05 (0.58-15.93) | 0.19 |
Discussion
The use of PPEs by healthcare workers plays a vital role in protecting them from infections acquired during patient care through droplet or airborne transmission.[19] They are more important while dealing with the infectious disease of high consequence infectious potential like COVID-19. As per the best of our knowledge, our study is the first one to have evaluated the challenges faced [Table 2] by the resident doctors after donning level 3 PPE while working in the intensive care unit. In our survey, only 81.3% answered the given questionnaire. The reason for other residents not answering could be a lack of interest in the survey, hectic duty shifts, etc., This explains the need for one-to-one interviews to get 100% compliance. Because of the pandemic, non-ICU residents were posted along with ICU residents to support them in their work. Residents from every department participated in the survey.
In our study, the problems that majority of participants experienced were headache, visual impairment, hearing impairment, difficulty in breathing, impression/bruise or pain in the PPE contact points, sweating, and reduction in overall work quality due to PPE. Headache was seen in 89.6% of the participants in our study. It was almost similar to the study by Ong et al.[9] where 82% had de novo headaches and 91.3% had exaggeration of preexisting headache. In the study by Hajjij et al.[14] on the use of PPE during the COVID-19 pandemic, 62% had headache due to PPE (32.9%-de novo and 29%-aggravation of preexisting headache). The factors postulated to contribute to head associated with PPE use are sustained compression of the pericranial soft tissue due to donning of PPE, difficulty in breathing, hypoxia, hypercarbia due to tightly fitting masks, stress, age, sleep deprivation, etc.[9,12,13,14,15,20] In our study, working for more than 5 hours, feeling faceshield heavy, difficulty in breathing, and sweating were associated with headache. Ong et al.[9] stated that combined usage of N95 mask and protective eyewear for more than 4 hours was associated with a higher chance of de novo PPE-associated headaches. Hajjij et al.[14] stated that a work shift of more than 8 hours was associated with de-novo headache. Bharatendu et al.[17] stated that the use of N95 facemask causes cerebral hemodynamic alterations, which could contribute to headache and the use of additional powdered air-purifying respirator could mitigate these problems.
In our study, 85.7% of the participants had trouble in breathing. We have not used a scale to grade the difficulty in breathing. Khoo et al.[21] reported that the use of a 3 M Powered Air-Purifying Respirator caused breathing discomfort in 74.4% of the individuals (Minimal work of breathing-60.5%, moderate work of breathing- 7%, uncomforTable 4.6%, and suffocating-2.3%). Lee et al.[18] assessed the increase in breathing resistance after using the N95 mask and reported that there is a mean increment of 126% in inspiratory flow resistance and 122% in expiratory flow resistance.Verbeek et al. [22] conducted an interventional review about PPE and prevention of infectious disease and concluded that PPE made of more breathable material had greater user satisfaction but there was only low-quality evidence that it may not lead to more contamination. Thus, it is necessary to make a more breathable respirator that does not increase the risk of contamination. Li et al.[23] reported that the face mask can influence the heart rate and can cause the subjective perception of discomfort. They suggested that it could be due to a significant difference in temperature and humidity after wearing the facemasks. Locatelli et al.[10] recommended that the comfort and tolerability of healthcare workers need to be assessed while fit testing. Arora et al.[24] stated that the adequate mask fit could not be achieved by untrained individuals. In our study, one-fourth of the participants did not get a face mask that fits them; thus, it is necessary to provide face masks in different sizes according to the individual.
Fogging [Figure 3d] affected the visual acuity and it interfered with routine works like securing intravenous line, withdrawing blood sample, and intubation making these jobs difficult. Khoo et al.[21] reported that use of powdered air-purifying respirators caused visual impairment in around 75% of the participants. In a study by Meyer et al.[25] on respiratory protective devices, they observed that the visual discomfort correlated with the limitation in the field of vision. But in our study, visual impairment was mainly due to fogging. Visual impairment due to fogging can also predispose to falls.[26]
Figure 3.

Clinical picture showing adverse skin reaction (a-c), fogging of goggles (d), an impression (e), or bruise (f) due to PPE
In our study, more than 89.7% of the participants had impressions or bruise or pain over certain pressure points where PPE/goggles/masks come in contact with the skin [nasal bridge, forehead, above the ear, cheeks, wrists, and ankles; Figure 2b]. The use of PPE made with softer material may reduce this problem further.
Most of the PPE kits we are using are made up of nonporous material and are airtight so that the virus does not pass through, because of which all the humidity and heat generated by the body is trapped inside it.[8] Ninety-six percent of our participants too reported sweating as a major problem. Loibner et al.[16] reported that working at cooler temperature may be beneficial in dealing with heat stress and fluid loss. In our study, around one-third of participants had adverse skin reactions [Figure 3a-c]. It was comparable to a study by Foo et al.[11] where 35% of participants had adverse skin reactions. As it was a questionnaire-based study, we could not exactly examine and diagnose the type of dermatitis in the participants. Pressure due to the tight fit of the mask or goggles along with hot and humid conditions created by the entire PPE could have led to these adverse skin reactions.
During their duty, 20% of participants were unable to control their thirst. One-third of the participants developed gastritis at some point, which may be due to either long fasting hours or it may be stress-induced.[27,28]
Around two-thirds of participants reported fear of being infected during duty and nearly half of them were anxious during the duty. Studies suggest that the use of a respirator can cause psychological affections and psychomotor alterations making routine work more challenging.[29,30,31] Morgan[29] observed that some users of industrial respirators had anxiety or claustrophobia. In our study, psychological symptoms reduced in about three-fourths of them on subsequent duties or by reassurance from their colleagues. Anxiety, hunger, sleep disturbances, and pain or heaviness with goggles were higher in participants working for a longer duration. Most of the participants felt that their work quality was reduced because of PPE and if given a choice two-thirds of them never liked to work where using a PPE is mandated.
Although there are various challenges with PPE use, the primary care physicians and all other healthcare workers must always use appropriate PPE while dealing with COVID-19 patients/suspects as none of the vaccines can provide 100% protection and a newer variant of the SARS-CoV-2 is emerging every time.[32,33,34,35,36,37] Though wearing PPE is challenging, it can be made more acceptable and comfortable experience by overcoming the above-mentioned challenges through intersectoral coordination and appropriate interventions by the policymakers.
Strengths and limitations
Our study is the first hospital-based study conducted in north India, to assess the somatic and psychological issues faced by doctors working with level 3 PPE. We approached all the residents who had done a minimum of two duties with PPE to get an accurate estimate of the challenges faced wearing PPE. A high response rate and adequate sample size ensured minimum selection bias. A limitation of our study was a measurement bias of a few variables where the assessment was not done based on an objective scale to assess the discomfort of the participants. Being a monocentric study, one should be cautious while interpreting the results when compared with international literature.
Conclusion
These frontline workers glorified as COVID-19 warriors need to be comfortable while working. Pain caused by goggles, headache, anxiety, hunger, sleep disturbances, and the need to change the timing of medication or diet were higher with increased duration of work with PPE. We suggest that the reduction of duty hours may reduce the impact of problems. Ensuring the availability of PPE suits and respirators in different sizes is a must. More ergonomically designed PPEs are needed to improve and prolong the efficiency of the doctors working with level 3 PPE in ICU setup to mitigate visual impairment, skin irritation, sweating, and breathing difficulty.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
References
- 1.Wang C, Horby PW, Hayden FG, Gao GF. A novel coronavirus outbreak of global health concern. Lancet. 2020;395:470–3. doi: 10.1016/S0140-6736(20)30185-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ranney ML, Griffeth V, Jha AK. Critical supply shortages — upplyneed for ventilators and personal protective equipment during the Covid-19 pandemic. N Engl J Med. 2020;382:e41. doi: 10.1056/NEJMp2006141. [DOI] [PubMed] [Google Scholar]
- 3.WHO Coronavirus Disease (COVID-19) Dashboard. [Last accessed on 2021 Feb 01]. Available from: https://covid19.who.int .
- 4.van Doremalen N, Bushmaker T, Morris DH, Holbrook MG, Gamble A, Williamson BN, et al. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N Engl J Med. 2020;382:1564–7. doi: 10.1056/NEJMc2004973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ortega R, Gonzalez M, Nozari A, Canelli R. Personal protective equipment and covid-19. N Engl J Med. 2020;382:e105. doi: 10.1056/NEJMvcm2014809. [DOI] [PubMed] [Google Scholar]
- 6.Poller B, Tunbridge A, Hall S, Beadsworth M, Jacobs M, Peters E, et al. A unified personal protective equipment ensemble for clinical response to possible high consequence infectious diseases: A consensus document on behalf of the HCID programme. J Infect. 2018;77:496–502. doi: 10.1016/j.jinf.2018.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Panse S, Kanchi M, Chacko J, T. S SK. $$$ Ramanjaneya R, Wilben V, et al. Intensive care unit setup for Covid-19. J Cardiac Crit Care TSS. 2020;4:5–11. [Google Scholar]
- 8.Shenal BV, Radonovich LJ, Cheng J, Hodgson M, Bender BS. Discomfort and exertion associated with prolonged wear of respiratory protection in a health care setting. J Occup Environ Hyg. 2011;9:59–64. doi: 10.1080/15459624.2012.635133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ong JJ, Bharatendu C, Goh Y, Tang JZ, Sooi KW, Tan YL, et al. Headaches associated with personal protective equipment-A cross-sectional study among frontline healthcare workers during covid-19. Headache. 2020;60:864–77. doi: 10.1111/head.13811. [DOI] [PubMed] [Google Scholar]
- 10.Locatelli SM, LaVela SL, Gosch M. Health care workersrkersrkerd discomfort while wearing filtering face-piece respirators. Workplace Health Saf. 2014;62:362–8. doi: 10.3928/21650799-20140804-03. [DOI] [PubMed] [Google Scholar]
- 11.Foo CC, Goon AT, Leow Y-H, Goh C-L. Adverse skin reactions to personal protective equipment against severe acute respiratory syndrome--A descriptive study in Singapore. Contact Derm. 2006;55:291–4. doi: 10.1111/j.1600-0536.2006.00953.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Szeinuk J, Beckett WS, Clark N, Hailoo WL. Medical evaluation for respirator use. Am J Ind Med. 2000;37:142–57. doi: 10.1002/(sici)1097-0274(200001)37:1<142::aid-ajim11>3.0.co;2-k. [DOI] [PubMed] [Google Scholar]
- 13.Radonovich LJ, Cheng J, Shenal BV, Hodgson M, Bender BS. Respirator tolerance in health care workers. JAMA. 2009;301:36–8. doi: 10.1001/jama.2008.894. [DOI] [PubMed] [Google Scholar]
- 14.Hajjij A, Aasfara J, Khalis M, Ouhabi H, Benariba F, El Kettani C. Personal protective equipment and headaches: Cross-sectional study among moroccan healthcare workers during covid-19 pandemic. Cureus. 2020;12:e12047. doi: 10.7759/cureus.12047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zaheer R, Khan M, Tanveer A, Farooq A, Khurshid Z. Association of personal protective equipment with de novo headaches in frontline healthcare workers during covid-19 pandemic: A cross-sectional study. Eur J Dent. 2020;14:S79–85. doi: 10.1055/s-0040-1721904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Loibner M, Hagauer S, Schwantzer G, Berghold A, Zatloukal K. Limiting factors for wearing personal protective equipment (PPE) in a health care environment evaluated in a randomised study. PLoS One. 2019;14:e0210775. doi: 10.1371/journal.pone.0210775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Bharatendu C, Ong JJ, Goh Y, Tan BY, Chan AC, Tang JZ, et al. Powered air purifying respirator (PAPR) restores the N95 face mask induced cerebral hemodynamic alterations among Healthcare Workers during COVID-19 Outbreak. J Neurol Sci. 2020;417:117078. doi: 10.1016/j.jns.2020.117078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lee HP, Wang DY. Objective assessment of increase in breathing resistance of N95 respirators on human subjects. Ann Occup Hyg. 2011;55:917–21. doi: 10.1093/annhyg/mer065. [DOI] [PubMed] [Google Scholar]
- 19.Casanova L, Alfano-Sobsey E, Rutala WA, Weber DJ, Sobsey M. Virus transfer from personal protective equipment to healthcare employees' skin and clothing. Emerg Infect Dis. 2008;14:1291–3. doi: 10.3201/eid1408.080085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Rebmann T, Carrico R, Wang J. Physiologic and other effects and compliance with long-term respirator use among medical intensive care unit nurses. Am J Infect Control. 2013;41:1218–23. doi: 10.1016/j.ajic.2013.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Khoo K-L, Leng P-H, Ibrahim IB, Lim TK. The changing face of healthcare worker perceptions on powered air-purifying respirators during the SARS outbreak. Respirology. 2005;10:107–10. doi: 10.1111/j.1440-1843.2005.00634.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Verbeek JH, Ijaz S, Mischke C, Ruotsalainen JH, Mäkelä E, Neuvonen K, et al. Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body fluids in healthcare staff. Cochrane Database Syst Rev. 2016;4:CD011621. doi: 10.1002/14651858.CD011621.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li Y, Tokura H, Guo YP, Wong ASW, Wong T, Chung J, et al. Effects of wearing N95 and surgical facemasks on heart rate, thermal stress and subjective sensations. Int Arch Occup Environ Health. 2005;78:501–9. doi: 10.1007/s00420-004-0584-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Arora P, Sardana K, Sinha S. Real-world assessment, relevance, and problems in use of personal protective equipment in clinical dermatology practice in a COVID referral tertiary hospital. J Cosmet Dermatol. 2020;19:3189–98. doi: 10.1111/jocd.13736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Meyer JP, HMey M, Herrault J, Hubert G, Fran G, FranFranevanc, et al. Field study of subjective assessment of negative pressure half-masks. Influence of the work conditions on comfort and efficiency. Appl Ergon. 1997;28:331–8. doi: 10.1016/s0003-6870(97)00007-0. [DOI] [PubMed] [Google Scholar]
- 26.Dankert JF, Virk MS. Mask-related glasses fogging: A predisposing mechanism of falls during the covid-19 pandemic. Case Rep Orthop 2021. 2021 doi: 10.1155/2021/5600216. 5600216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Lee SP, Sung I-K, Kim JH, Lee S-Y, Park HS, Shim CS. The Effect of emotional stress and depression on the prevalence of digestive diseases. J Neurogastroenterol Motil. 2015;21:273–82. doi: 10.5056/jnm14116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Amine EM, Kaoutar S, Ihssane M, Adil I, Dafr-Allah B. Effect of Ramadan fasting on acute upper gastrointestinal bleeding. J Res Med Sci. 2013;18:230–3. [PMC free article] [PubMed] [Google Scholar]
- 29.Morgan WP. Psychological problems associated with the wearing of industrial respirators: A review. Am Ind Hyg Assoc J. 1983;44:671–6. doi: 10.1080/15298668391405544. [DOI] [PubMed] [Google Scholar]
- 30.Johnson AT, Cummings EG. Mask design considerations. Am Ind Hyg Assoc J. 1975;36:220–8. doi: 10.1080/0002889758507238. [DOI] [PubMed] [Google Scholar]
- 31.Seliga R, Bhattacharya A, Succop P, Wickstrom R, Smith D, Willeke K. Effect of work load and respirator wear on postural stability, heart rate, and perceived exertion. Am Ind Hyg Assoc J. 1991;52:417–22. doi: 10.1080/15298669191364965. [DOI] [PubMed] [Google Scholar]
- 32.Gao S-J, Guo H, Luo G. Omicron variant (B.1.1.529) of SARS-CoV-2, a global urgent public health alert! J Med Virol. 2021 doi: 10.1002/jmv.27491. doi: 10.1002/jmv.27491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Xing K, Tu X-Y, Liu M, Liang Z-W, Chen J-N, Li J-J, et al. Efficacy and safety of COVID-19 vaccines: A systematic review. Zhongguo Dang Dai Er Ke Za Zhi. 2021;23:221–8. doi: 10.7499/j.issn.1008-8830.2101133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Thomas SJ, Moreira ED, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine through 6 Months. N Engl J Med. 2021;385:1761–73. doi: 10.1056/NEJMoa2110345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Voysey M, Clemens SAC, Madhi SA, Weckx LY, Folegatti PM, Aley PK, et al. Safety and efficacy of the ChAdOx 1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: An interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. Lancet. 2021;397:99–111. doi: 10.1016/S0140-6736(20)32661-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ghosh S, Shankar S, Chatterjee K, Chatterjee K, Yadav AK, Pandya K, et al. COVISHIELD (AZD1222) VaccINe effectiveness among healthcare and frontline Workers of INdian Armed Forces: Interim results of VIN-WIN cohort study. Med J Armed Forces India. 2021;77:S264–70. doi: 10.1016/j.mjafi.2021.06.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lopez Bernal J, Andrews N, Gower C, Robertson C, Stowe J, Tessier E, et al. Effectiveness of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on covid-19 related symptoms, hospital admissions, and mortality in older adults in England: Test negative case-control study. BMJ. 2021;373:1088. doi: 10.1136/bmj.n1088. [DOI] [PMC free article] [PubMed] [Google Scholar]

