key: cord-0861221-dp73nalu authors: Heider, Claudia A.; Álvarez, Matías L.; Fuentes‐López, Eduardo; González, Claudia A.; León, Norma I.; Verástegui, Daniela C.; Badía, Pedro I.; Napolitano, Carla A. title: Prevalence of Voice Disorders in Healthcare Workers in the Universal Masking COVID‐19 Era date: 2020-10-12 journal: Laryngoscope DOI: 10.1002/lary.29172 sha: e93fe9edce1fded4e18670311a6d0e7cfc89e9e7 doc_id: 861221 cord_uid: dp73nalu OBJECTIVES/HYPOTHESIS: To determine the prevalence and associated risk factors of voice disorders in healthcare workers of high‐risk hospital care units during the 2019 coronavirus disease (COVID‐19) pandemic. STUDY DESIGN: Cross‐sectional study. METHODS: Questionnaire survey to healthcare personnel of COVID‐19 high‐risk hospital units was conducted, regarding demographic data, clinical activity, the pattern of usage of personal protective equipment, medical and vocal history, vocal symptoms, and Spanish validated Voice Handicap Index (VHI)‐10 questionnaire. RESULTS: A total of 221 healthcare workers answered the survey. Nearly 33% of them reported having trouble with their voice during the last month, and 26.24% had an abnormal score in the Spanish validated VHI‐10 questionnaire. The mean VHI‐10 score was 7.92 (95% confidence interval 6.98–8.85). The number of working hours, the number of hours of mask daily use, simultaneous surgical and self‐filtering mask use, and working in intermediate or intensive care units were independent variables significantly associated with a higher VHI‐10 score. CONCLUSIONS: Healthcare workers of high‐risk hospital care units during the universal masking COVID‐19 pandemic are at risk of voice disorders. LEVEL OF EVIDENCE: 3 Laryngoscope, 2020 Novel 2019 coronavirus disease (COVID-19) was declared a pandemic by the World Health Organization on March 11, 2020 . 1 This pandemic has changed our clinical practice, imposing the universal and protocolized use of personal protective equipment (PPE) in healthcare professionals. These new standards lead to an increase in the number of hours using face masks during the workday, and the use of more than one PPE simultaneously (surgical masks, self-filtering masks, and face shields) or the use of advanced facial protective equipment (airpurifying respirators). Reports of adverse effects of prolonged use of PPE in healthcare professionals have been published, [2] [3] [4] [5] including headaches, difficulty breathing, acne, skin reactions, and impaired cognition. Still, there are no published data regarding voice disorders as a side effect of prolonged PPE use in healthcare personnel. Face masks function as an acoustic filter for speech, attenuating high frequencies spoken by the wearer by 3-12 dB, 6 depending on the type of mask (surgical vs. self-filtering). Besides, most COVID-19 hospitalized patients are older adults, with various degrees of hearing loss and consciousness, which added to the noisy environment of intensive care units, and the absence of visual cues because of the use of facial protective equipment renders oral communication very difficult between patients and healthcare professionals. 7 It has been suggested that to obtain speech understanding of 90% accuracy, the signal must be presented at 10-15 dB above the noise source. 8 Thus, with an average background noise level of 65 dB sound pressure level (SPL), health personnel would have to speak at levels of 80 dB SPL to be understood with 90% accuracy. 8 To the best of knowledge, the are no published data related to voice disorders in healthcare workers associated to universal masking in the COVID-19 era. We suspect that prolonged use of facial PPE in healthcare professionals poses an occupational health risk of vocal disorders due to the phonotrauma implicated in speaking counteracting the acoustic attenuation generated by them. We aimed to determine the prevalence of voice disorders in healthcare workers of high-risk hospital care units during the COVID-19 pandemic in a tertiary center in Santiago, Chile, and determine the risk factors associated with these disorders. A cross-sectional study was conducted at Universidad Católica Clinical Hospital and San Carlos de Apoquindo Hospital, both tertiary centers in Santiago de Chile. An anonymous, self-administered, 23 item questionnaire survey (available in Appendix S1) was applied between July 22 and August 9, 2020, in the middle of the COVID-19 outbreak in Chile, to healthcare staff who had direct contact with hospitalized patients in highrisk hospital areas who use universal and protocolized PPE: isolation general wards, intermediate and intensive care units. At our institution, the working hours are divided into three types of schedules: 44 hours/week shift with 8 hours daily, 22 hours/week shift with 4 hours daily, and fourth shift modality with 24 hours on-duty followed by 3 days off. All subjects participated in the study voluntarily and signed informed consent. This study was approved by the ethics committee in the Faculty of Medicine of Pontificia Universidad Católica de Chile (protocol number 200705001). Given that the prevalence of voice disorders in this population is unknown, corrected sample size in finite population calculation was performed considering a 50% prevalence, which determined a target sample size of 218 participants. The survey collected information about demographic data, clinical activity (occupation, unit, hours per shift), PPE usage pattern (type of PPE, hours of use, combined use), medical and vocal past history, tobacco use, personal view regarding the presence of vocal problems and severity during the last month, vocal symptoms during last month, own opinion regarding the existence of vocal symptoms the same period the previous year, and Spanish validated Voice Handicap Index (VHI)-10 questionnaire. 9 An exploratory data analysis was carried out, checking for atypical values and determining the distribution of the continuous quantitative variables. Descriptive statistics were estimated The standard error of linear models was estimated with bootstrapping (10,000 replications). The 95% CI was calculated using a bias-corrected and accelerated method. † Variables significantly associated with VHI-10 overall score in bold. ‡ Missing data were not incorporated into the analyses. § The multivariate model only included variables that were associated with the VHI-10 overall score in the univariate models. ¶ Corresponds to 24 working hours followed by 3 days free. Laryngoscope 00: 2020 Heider et al.: Voice Disorders Universal Masking COVID-19 using the mean and standard deviation (SD) for continuous variables with a normal distribution and the median and interquartile range (IQR) (25th and 75th percentiles) for variables with a biased distribution. In the case of categorical variables, the relative and absolute frequencies were obtained. Univariate regression models were built to assess the association between the VHI-10 overall score (dependent variable) and each of the independent variables of interest: sociodemographic variables (gender and age), working characteristics (healthcare personnel, number of working hours, clinical unit, and type of patients), and mask and face shield use characteristics (frequency of daily mask use, mask type, simultaneous mask use, face shield use, frequency of mask along with face shield use). Then a multivariate regression model was constructed with the factors significantly associated with the VHI-10 overall score in the univariate models. Wald's test was applied to assess the linear trend of increase VHI-10 scores across daily mask use frequency, considering this variable (ordinal) as a continuous variable. As the distribution of the dependent variable was non-normal, the standard error of linear regression models was estimated through bootstrapping (10,000 replications). The 95% confidence intervals (CIs) were calculated using the bias-corrected and accelerated method. 10, 11 Collinearity was explored among the independent variables included in the models, and it was evaluated using a variance inflation factors test. Then, the VHI-10 questionnaire's overall score was dichotomized, considering its cut-off is 11 points. Univariate and multivariate logistic regression models were built to assess the association between scores over the cut-off of 11 points (dependent variable), and the independent variables of sociodemographic, working characteristics, and mask and face shield characteristics were constructed. Odds ratios with 95% CI were calculated. The Hosmer-Lemeshow test was used to assess the goodness-of-fit of the multivariate logistic regression models. A good model fit as measured by Hosmer and Lemeshow's test will yield a P-value >.05. Approximately 500 high-risk healthcare workers were invited to participate in the study, with 221 agreeing, giving an overall response rate of approximately 44%. One hundred and sixty-seven (75.57%) subjects were females. The mean age of the respondents was 32 years (IQR: 28-39 years). Eighty-nine (40.83%) respondents were nurses, 64 (29.36%) were nursing assistants, 21 (9.63%) physicians, 18 (8.26%) physical therapists, 12 (5.50%) speech pathologists, and 14 (6.42) were medical residents. The majority of participants (n = 201, 90.95%) reported using face masks between 8 and 12 hours per work day, 17 (7.69%) between 4 and 8 hours, and 3 (1.36%) between 1 and 4 hours per work day. The use of surgical mask and self-filtering mask simultaneously was reported by 139 (62.98%) of respondents, while 44 (19.91%) used a selffiltering mask only, 36 (16.29%) used a surgical mask only. Of those who used both masks simultaneously, 77.36% reported using the surgical mask over self-filtering mask, *The standard error of linear models was estimated with bootstrapping (10,000 replications). The 95% CI was calculated using a bias-corrected and accelerated method. † Variables significantly associated with VHI-10 overall score in bold. ‡ Missing data were not incorporated into the analyses. § The multivariate model only included variables that were associated with the VHI-10 overall score in the univariate models. One hundred and ninety-three (87.33%) declared the use of a face shield. Eleven (4.98%) of the surveyed subjects reported a previous vocal diagnosis (four subjects with vocal nodules, one with muscle tension dysphonia, one vocal polyp, and one vocal cord paralysis; the rest did not specify the diagnosis), and nine (4.07%) reported recalling having voice problems the same period last year. When asked if they have noticed any trouble with their voice during the last month, 147 (67.43%) responded negatively, 47 (21.56%) reported mild symptoms, and 24 (11.10%) moderate or severe symptoms (Table I) . Participants were asked four questions about vocal symptoms and severity during last month: "I feel my voice more hoarse," "I run out of my voice during the workday," "I experience pain when I talk," and "I make more effort to speak." The statements related to vocal fatigue ("I run out of my voice during the work day") and vocal effort ("I make more effort to speak") had the highest scores. All subjects responded the Spanish validated VHI-10 questionnaire, 9 and 58 (26.24%) had an abnormal score (>11) according to normative data. 12 The mean VHI-10 score was 7.92 (95% CI 6.98-8.85). The VHI-10 overall score for those who did not report a voice problem was 5.66 (95% CI 4.78-6.53), increasing to 12.48 (95% CI 10.68-14.28) for the group with self-perceived voice problems (Table I) . The individual statements with the higher scores were "People have difficulty understanding me in a noisy room" and "My voice makes it difficult for people to hear me." Only four (6.89%) of the participants with an abnormal VHI-10 score had a previous vocal diagnosis, and three (5.17%) recalled having trouble with their voice the same period last year. In the univariate linear models, the number of working hours was significantly associated with the VHI-10 In the univariate linear models, hours of mask daily use were positively and significantly associated with the VHI-10 overall scores (P-trend = .012). Both 4-8 (mean 4.02; 95% CI 1.14-6.91) and 8-12 hours (mean 5.80; 95% CI 3.59-7.32) of mask daily use showed highest scores than those who used it for 1-4 hours (Table III) . Other variables significantly associated with the VHI-10 overall score in the univariate models were the mask type and the simultaneous mask use (self-filtering mask over surgical mask with significantly highest scores). The use of only a surgical mask showed 2.77 (95% CI −4.52 to −0.79) fewer points than simultaneous mask use. In the multivariate linear model, the differences between hours of daily mask use remained statistically significant. Daily mask use of 8-12 hours represented an increment of 7.51 (95% CI 5.33-11.43) points compared to healthcare personnel that used it for 1 to 4 hours. In the univariate logistic models, the number of working hours was significantly associated with the VHI-10 score over the cut-off (Table IV) . Healthcare personnel who worked in a "fourth shift" showed an odds ratio (OR) of 2.09 (95% CI 1.01-4.34) to have a score over the cut-off, compared to those who worked 44 hours per week. Also, working in a general ward had 80% fewer odds (OR = 0.22; 95% CI 0.06-0.77) of having a score over the cut-off. In the multivariate logistic model, this difference related to the clinical unit remained statistically significant. Mask and Face Shield Characteristics Associated With a VHI-10 Score Over the Cut-Off In the univariate logistic models, the mask type and simultaneous mask use were significantly associated with the VHI-10 score over the cut-off (Table V) . The use of a surgical mask had 69% fewer odds (OR = 0.22; 95% CI 0.06-0.77) of having a score over the cut-off, compared to simultaneous mask use. And those that used a selffiltering mask over a surgical mask showed an odds ratio of 4.03 (95% CI 1.54-10.49) to have a score over the cutoff, compared to no simultaneous mask use. In the multivariate logistic model, only this difference related to simultaneous mask use remained statistically significant. Our study presents the first epidemiological investigation of the prevalence of voice disorders in healthcare workers in the COVID-19 pandemic universal-masking era. Our sample size is representative of healthcare workers of high-risk hospital care units during the COVID-19 pandemic in a tertiary center in Santiago, Chile. However, a volunteer bias may exist because of the voluntary questionnaire methodology, meaning that the proportion of participants who have had voice symptoms during the last month is likely to be higher. Another limitation is the lack of a control group of healthcare workers without face mask use; this was not possible due to PPE's sanitary requirement of during the pandemic. Unfortunately, the baseline prevalence of voice disorders in healthcare workers has not been reported previously to the COVID-19 arrival. Nearly 33% of healthcare personnel reported trouble with their voice during the last month, which is higher than the prevalence of voice disorders in the general population reported in the literature. Bhattacharyya reported a 7.6% prevalence of voice problems in adult population surveyed in the United States. 13 Another epidemiologic telephone-survey study conducted by Roy et al. in 2005 reported that almost 30% of the adult population in Utah has experienced a voice disorder during their lifetime, and nearly 7% reported a current voice problem. 14 Smith et al. compared the frequency of reported voice symptoms in teachers to a control group, showing that teachers were more likely to report having voice problems (15% vs. 6% in the control group). 15 This results are similar to those published by Roy et al. in 2004 , reporting a prevalence of current voice problems in teachers of 11%, versus a 6.2% in nonteachers. 16 There are no published data on prevalence of reported voice disorders in the general adult population in Chile, and there are no reports of the prevalence of voice disorders in healthcare workers in the literature. According to the VHI-10, there is a 26.24% prevalence of voice disorders in our population of healthcare workers. This result is comparable to other studies evaluating occupational voice users with VHI-10, like US 911 emergency telecommunicators 17 (24.64%), French tour guides 18 (21.29%), and Brazilian teachers (21.30%). 19 Our study was conducted in the middle of the COVID-19 outbreak in Chile under national universal masking regulations, so we could not establish a control group of healthcare workers who did not use PPE. In the absence of a control group in our study, we compared our results with the control group used in the Spanish validation of VHI-10 questionnaire 9 study, reporting a mean VHI-10 of 2.2 (SD 2.6), which is 5.72 points lower than the mean VHI-10 reported in our study (95% CI 3.45-7.98; P < .001). Besides, the vast majority of participants who reported trouble with their voice during the last month, or had an abnormal VHI-10 score, did not have a previous vocal diagnosis or recalled having trouble with their voice the same period last year, suggesting de novo PPEassociated vocal disorders in this population. These results tend toward our hypothesis that healthcare workers of high-risk hospital care units with prolonged used of PPE have a higher risk of suffering from voice disorders than the general population, and are comparable to other occupational voice users. This observation is consistent with the main vocal symptoms reported by participants being related to vocal fatigue and vocal effort, and in the VHI-10 questionnaire the statements with the higher scores being "People have difficulty understanding me in a noisy room" and "My voice makes it difficult for people to hear me," both functional domains. The number of working hours, the hours of mask daily use and simultaneous mask use were independent variables significantly associated with higher VHI-10 overall and over the cut-off scores, and thus on patients' vocal handicap perception. These findings are in agreement with a dose-response voice handicap associated with face mask use in this population, which supports our hypothesis of an occupational health risk of vocal disorders. With simultaneous mask use, using a self-filtering mask over a surgical mask had significantly higher scores than those who used them the other way. The rationality of using a surgical mask over a self-filtering mask is to extend the lifetime of the self-filtering mask resource by discarding the surgical mask after a high-risk contact with a patient. However, the use a self-filtering mask over a surgical mask (reported by 22.64% of those with simultaneous mask use), has no known rationality regarding the effectiveness of protection or resource considerations, and was associated with higher VHI-10 scores. Besides acting as an acoustic filter attenuating the volume of the voice, we hypothesize that face masks may also affect voice emission by altering the phonorespiratory coordination in the user. Studies of facemasks aerodynamics have demonstrated that inhaling with these devices generates a pressure drop across the mask, 20,21 requiring a more considerable inhalation effort by the wearer. 22 Furthermore, this phenomenon could be exacerbated when combining two face masks, in agreement with our findings, with the highest VHI-10 scores seen when the more collapsible surgical mask is used below the more rigid self-filtering mask, versus using them in the other way. These findings could imply generating a recommendation against using a selffiltering mask over surgical mask when combined mask use. Our study highlights the lack of evidence regarding the voice health of personnel subject to working with face masks in general, and in particular of healthcare workers. It also raises the question of whether this population should be considered occupational voice users since it is very likely that the universal and protocolized masking era will be the standard in the clinical practice of healthcare workers in the future. Further studies are needed to gather more evidence of the vocal disorders associated to the use of masks, and raise the awareness of the potential professional vocal risks in healthcare workers. We describe the first series of voice disorders prevalence in healthcare professionals during the universal masking COVID-19 pandemic. 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A practical guide for medical statisticians Normative values for the voice handicap index-10 The prevalence of voice problems among adults in the United States Voice disorders in the general population: prevalence, risk factors, and occupational impact Frequency and effects of teachers' voice problems Prevalence of voice disorders in teachers and the general population The prevalence of voice disorders in 911 emergency telecommunicators Prevalence and risk factors of voice disorders in French tour guides Vocal effort and voice handicap among teachers Simulation and evaluation of respirator face seal leaks using computational fluid dynamics and infrared imaging Evaluation of rebreathed air in human nasal cavity with N95 respirator: a CFD study Effectiveness of facemasks to reduce exposure hazards for airborne infections among general populations The authors thank all the healthcare staff who gave their time and effort in participating in this study, and the chief nurses of all participant clinical units for they collaboration. We also acknowledge the Director of Universidad Católica Clinical Hospital Dr Ricardo Rabagliatti and the Director of Clínica San Carlos de Apoquindo Dr Alonso Rioseco.