INTRODUCTION
During the COVID-19 pandemic, dental practice was described as a risky SARS-CoV-2 transmission route 1. Most guidelines worldwide recommended suspending non-urgent dental treatments 2-4. There was no mandatory suspension in Mexico as it was in Israel, United Kingdom, Denmark, Portugal, Poland, and Norway 5. Nevertheless, during the pandemic, there was a lower frequency of dental care that could affect the economy and financial security of dentists, mainly of those in the private health sector lacking health or financial security 6.
Previous studies have reported that healthcare workers such as dentists may have comorbidities as obesity, diabetes mellitus, and arterial hypertension. They may also have risky health behaviors, including alcohol consumption, smoking, and sedentary lifestyles 7-9. These conditions have been described as risk factors regarding the development of complications from COVID-19 (4, 10). However, due to economic needs, dental professionals must provide dental care despite the risk of being infected with SARS-CoV-2 and developing severe illness.
In response to the COVID-19 pandemic, the Mexican government implemented a traffic light monitoring system. This public health system focuses on the use of public spaces and the COVID-19 risk in the population. The traffic light has four categories: Red corresponds to a very high (maximum) COVID-19 risk, orange to high risk, yellow to medium risk, and green to low risk 11. The government regulates social and economic activities according to this system. Dental care should be provided during green and yellow periods according to the traffic light system. During orange and red periods, only urgent treatment should be provided 12. The objectives of this project were: i) To determine the risk of dentists developing severe COVID-19; and ii) to describe the frequency of dental care during orange and red COVID-19 periods.
MATERIAL AND METHODS
A cross-sectional study was performed; the sample consisted of dentists who worked in Ixtlahuaca, State of Mexico, Mexico. Non-probabilistic sampling was performed according to the following dentist inclusion criteria: i) Engagement in clinical care; ii) engagement in social networks; and iii) willingness to participate. A survey with 22 questions was designed to determine the frequency of dental care during the red and orange periods of the COVID-19 traffic light monitoring system. The survey asked for: i) Descriptive data, academic level, and economic activities (two questions on nominal scale); ii) frequency of dental treatments during orange and red periods (16 questions on Likert scale with four answer options); iii) risk of severe COVID-19; age, sex, health condition, and weight (four questions in nominal scale).
Dental treatments were split into two groups: Urgent treatments and non-urgent treatments. Urgent treatments refer to treatments that prompt attention due to pain, infection, or trauma: dental pulp infection, periapical and facial abscesses, jawbone infections, and dental or facial trauma. Procedures considered urgent were: endodontic treatment, the tooth drainage due to infection, oral surgery, dental extraction, facial abscess drainage; and tooth or facial trauma treatment. Non-urgent treatments refer to those with no pain or no compromised vital physiological function. Procedures considered were: dental restoration, use of composites or amalgam, dental prosthesis, dental implants, orthodontic treatment, aesthetic dentistry, tooth whitening, gum surgery, preventive treatment, teeth cleaning, pit and fissure sealants, and fluoride application.
Economic backgrounds were surveyed and divided into two main groups: i) Private health dentists; and ii) dentists with medical and social security. The first group refers to dentists obtaining economic resources from private practice without medical or social security from government or private institutions. The second group refers to dentists who obtain financial resources from private practice, government or private institutions, or universities, with medical and social security. The survey was rated and approved by eight health science researchers. Cronbach's alpha was used to assess internal consistency and had a value of 0.787.
The COVID-19 health complication calculator (HCC) developed for the Mexican Social Security Institute was used to determine the risk of developing severe COVID-19. The calculator considers sex, age, weight, and health condition: hypertension, diabetes, chronic obstructive pulmonary disease, kidney failure, and immunosuppression (cancer treatment, AIDS, or systemic lupus). HCC provides results as medium risk and high risk 13. The survey was disseminated among dentists working in Ixtlahuaca through social networks using Google Surveys, asking them to share it with their peers. The survey did not ask for any personal data, such as name or e-mail. The study was performed from August to September 2020. During this period, the COVID-19 traffic lights were red and orange in Ixtlahuaca, State of Mexico. This project was approved by the University of Ixtlahuaca’s Research Committee and followed the guidelines established at the WMA Declaration of Helsinki.
Results were analyzed using IBM SPSS Statistics 23 provided by Ixtlahuaca University. Categorical variables (sex, academic level, health condition, weight perception, economic activities, and risk of severe COVID-19) were expressed in frequency and percentage for the descriptive analysis. Age was expressed as mean value and standard deviation. Ordinal variables (dental treatments during specific COVID-19 traffic light periods) were expressed as mean values. The Kolmogorov-Smirnov test showed statistical significance (p<0.05). Thus, a non-parametric statistical test was performed. The comparison of categorical and ordinal variables was analyzed using the Mann-Whitney U test. For the comparison among categorical variables, Pearson's chi-squared test was performed. Finally, a Wilcoxon test was performed to determine the frequency of non-urgent treatments among dentists in orange and red traffic light periods. For all tests, a confidence level of 95% and p<0,05 were considered for statistical significance.
RESULTS
The study included 121 participants with an average age of 32.2 + 8.5 years. Most were women: 74.4%. Dentists with just university degree were the 61.2% of the sample. Most of the dentists surveyed reported being healthy (95.5%). Comorbidities, hypertension, diabetes, and immunosuppression-related diseases corresponded to 4.1% of the sample. Participants who reported a healthy weight accounted for 66.9% of the total. Overweight corresponded to 29.8%. Dentists were divided into two main groups according to their economic backgrounds: i) private health dentists, i.e., those engaged in private practice, without medical or social security from government or private institutions; and ii) dentists with medical and social security (Table 1).
Variables | Private health system | Dentists with medical and social security | Total | |
---|---|---|---|---|
N= | 51 (42.1%) | 70 (57.9%) | 121 (100%) | |
Age | 30.8 ( 7.3 | 33.5 ( 9.1 | 32.3 ( 8.5 | |
Sex | Men | 9 (17.6%) | 22 (31.4%) | 31 (25.6%) |
Women | 42 (82.4%) | 48 (68.6%) | 90 (74.4%) | |
Academic level | University degree | 35 (68.6) | 39 (55.7%) | 74 (61.2%) |
Post degree | 16 (31.4%) | 31 (44.3%) | 47 (38.8%) | |
health condition | Hypertension | 0 | 1 (1.4%) | 1 (0.8%) |
Diabetes | 0 | 1 (1.4%) | 1 (0.8%) | |
Immunosuppression | 0 | 3 (4.3%) | 3 (2.5%) | |
Healthy | 51 (100%) | 65 (92.9%) | 116 (95.9%) | |
Weight perception | Underweight | 2 (3.9%) | 1 (1.4%) | 3 (2.5%) |
Healthy weight | 36 (70.6%) | 45 (64.3%) | 81 (66.9%) | |
Overweight | 13 (25.5%) | 23 (32.9%) | 36 (29.8%) | |
obese | 0 | 1 (1.4%) | 1 (0.8%) |
Participants showed a medium risk of developing severe COVID-19 (92.5%). There were no statistical differences between private health dentists and those with medical or social security (Table 2). The analysis of dental treatments during COVID-19 traffic light periods determined that private health dentists did more urgent and non-urgent treatments during orange and red traffic light periods than their peers (Table 2 shows frequency of dental treatments as mean values). However, statistical differences were found when the Mann-Whitney U test was performed to compare non-urgent treatments done by private health dentists and their peers during orange and red traffic light periods. In addition, both groups of dentists did more non-urgent treatments during orange than red traffic light periods, showing a statistical difference when performing a Wilcoxon test (Figure 1). Men reported a statistically significant (p = 0.047) greater risk of COVID-19 complications than women (Figure 2).
Variables | Private health system | Dentists with medical and social security | p(0.05 | |||
---|---|---|---|---|---|---|
Treatments during red traffic light period | Urgent treatments | 2.67 | 2.61 | 0.69a | ||
Non-urgent treatments | 2.4 | 2.15 | 0.043*a | |||
Treatments during orange traffic light period | Urgent treatments | 2.83 | 2.71 | 0.483a | ||
Non-urgent treatments | 2.76 | 2.43 | 0.01*a | |||
Risk of severe COVID-19 | Medium | 49 (96.1%) | 63 (90%) | 0.18b | ||
High | 2 (3.9%) | 7 (10%) |
a. Mann-Whitney U test/ b. Pearson's chi-squared test
* Statistical significance
DISCUSSION
This study aimed to determine the risk of dentists developing severe COVID-19. Participants in this study showed a medium risk. These findings are similar to those previously reported. As health workers, dentists are at risk of being infected by SARS-CoV-2 and of getting seriously ill due to COVID-19 complications 9,14.
COVID-19 complications risk factors reported are age older than 65 years, men sex, and having health conditions such as diabetes mellitus, hypertension, immunosuppression, obesity, and overweight 4,10. In this study, the average age of participants was 32.2. They were reported being healthy, and most were women. Although participants enrolled in this study were mostly young and lacked comorbidities, a third of them did not have a healthy weight. Mexico has one of the highest obesity rates in the world, mainly children 15. SARS-CoV-2 mortality associated with obesity is 1.42 times more than their absence 16. According to the National Health and Nutrition Survey, 59.05% of Mexicans aged 20 to 30 have an unhealthy weight 15. In our results, the risk of developing severe COVID-19 and SARS-CoV-2 mortality is associated with unhealthy weight. Further studies should develop health campaigns to promote healthy behaviors among Mexican dentists.
This research was developed during two COVID traffic light periods (red and orange) and before the start of the vaccination campaign. Mexicans felt unsafe with a new disease that lacked effective preventive healthcare or medical treatment 17. Most Mexican dentists have not financial security in the private health sector. Therefore, they must provide dental care in order to obtain economic resources. This study hypothesized that economic needs lead dentists to keep providing health care despite the risk of infection with COVID-19 and the government's recommendations to provide only urgent treatment during orange and red traffic light periods 12. As expected, private sector dentists did more urgent and non-urgent treatments during both epidemiological traffic light periods. International COVID-19 guidelines suggest that dental care must be provided only in urgent cases 2,4. In the study, urgent treatments were more frequent during both epidemiological traffic light periods.
At the beginning of the pandemic, the lockdown and guidelines by the Mexican health system urging people to stay at home were stricter, with malls and universities closed and rules in place to prevent crowding 18. Mexican people kept strict quarantine for three months, resulting in economic loss and mental disorders such as anxiety 17,18. During this period, most dental clinics were closed 8. In our results, these facts explain why dental treatments were more prevalent during the orange than during the red traffic light period.
A limitation of this study is that the sample does not represent all Mexican dentists. Behaviors in the provision of dental care despite the risk of being infected could differ in other country regions. In addition, the survey was disseminated through social networks, which may explain why participants enrolled in this study were relatively young and had few comorbidities. Sampling an elder population might lead to different results. The study design is another limitation: Long-term studies should be carried out.
Dental care was modified and restricted due to the COVID-19 pandemic. The dental community had to avoid SARS-CoV-2 transmission. However, dentists and nurses are at risk of being infected and getting seriously ill with COVID-19. In our results, Mexican dentists reported a medium risk of developing severe COVID-19. The risk was associated with unhealthy weight. There is no difference in the risk of severe COVID-19 among private health dentists and dentists with medical and social security. Due to financial necessity, dentists provide non-urgent treatments during orange and red traffic light periods, despite government recommendations. Both groups of dentists did more non-urgent treatments during orange than during red traffic light periods. During the COVID-19 pandemic, private health dentists did more treatments than those who did not work in the private sector. Economic needs lead dentists to continue providing health care despite the risk of being infected with SARS-CoV-2 and developing severe illness. As previously reported, women have a lower COVID-19 risk 19,20.