Introduction

On March 11th 2020, the World Health Organization (WHO) made the assessment that COVID-19 could be characterized as a pandemic (^{World Health Organization, 2020a}). The mexican government initiated the Healthy Distancing Journey on March 23th as a means to lessen the pandemic impact (^{López-Gatell Ramírez, 2020}; ^{Secretaría de Salud, 2020c}). On April 10th, 18 days after this declaration, the National Mental Health Strategy for COVID-19 started official activities (^{Secretaría de Salud, 2020a}).

Mental health impact by the pandemic on health workers had already been described in China, where high rates of depressive (50.4%) and anxiety (44.6%) symptoms, and insomnia (34%) and distress (71.5%) had been reported (^{Lai et al., 2020}). In European countries, like Spain, a great proportion of health workers got infected with SARS-CoV-2 and this was related with elevated levels of depression, anxiety, and stress, although these were not statistically different from those of the general population (^{García-Fernández et al., 2020}). With the aim of identifying and attending mental health symptoms among Mexican population during the pandemic, the Ministry of Health encouraged a national mental health strategy for COVID-19; health workers represent one specific target population. In order to have a therapeutic option for attending these workers, five virtual multisite clinics were formed to cover the most expected mental symptoms: 1. Emotional crisis and suicide risk clinic (which offers 24/7 services and the possibility of hospitalization), 2. Substance abuse clinic, 3. Anxiety, depression and somatization clinic, 4. Mourning clinic, and 5. Burnout, post-traumatic stress disorder (PTSD), and compassion fatigue clinic (BPSCFc).

One of the treatment strategies of the BPSCFc was the generation of daily online mindfulness sessions in two different evening schedules. The present report has the main objective of describing the basal sociodemographic, COVID-19 related status and psychological (characteristics specifically the well-being and post-traumatic stress status) of the health workers who attended these sessions. We consider that the information obtained during the first seven weeks of the pandemic in our country may be useful for having an initial notion of the pandemic’s early impacts on the mental health of health workers and the consideration of further strategies.

Method

Results

Five hundred and seven health workers were included over the first seven weeks’ period of the strategy. Of them, 37 (1.38%) were recruited through UNAM’s National Digital Survey of Mental Health. The principal sociodemographic characteristics are shown in Table 1. In general, three hundred and eighty-one participants 75.15% were women. The average age of participants was 38 years old (SD = 11.6), with the largest number of participants 38.07% at the 30’s, followed by those at 40’s (26.43%). About half of the participants were single (51.48%) and just under 40% were married or in a formal relationship. Of the total number of professionals, 50% had a bachelor’s degree and 40.8% had a postgraduate degree or specialty.

Medical personnel were the most frequent health workers 34.52% attending the strategy. Of them, 45.71% were general practitioners, 44% specialists, and only 10.29% medical residents. Nursing staff was the second most frequent group (24.85%), followed by psychology staff (23.67%). Regarding the workplace profile, almost two thirds 65.29% worked at a non-social security public hospital (NSSPH) (Secretaría de Salud [SS] and INSABI), 18.93% at the private sector and 14.79% at social security public hospital (SSPH). Of the former group, almost all participants (96%) worked either at the Instituto Mexicano del Seguro Social (IMSS) or at the Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), and only 4.0% at the health services of Petróleos Mexicanos (PEMEX), the Secretaría de Defensa Nacional (SEDENA) or Secretaría de Marina (SEMAR).

Considering the place of residence, 57.6% of the participants lived in the central zone of the country and its metropolitan area. The state of Oaxaca had 83 participants, representing 16.4%, followed by Mexico City with 15.8%, the State of Mexico with 12.2%, and Sonora and San Luis Potosí with 9.5% and 8.1%, respectively. The remaining 38.1% was distributed among the remaining 27 states of Mexico (Figure 1).

Figure 1 Regionalization of participants’ response by residence area. 

Most participants denied having COVID-19 symptoms at the time of registration in the BPSCFc. Only 9.27% met criteria for suspicious cases of COVID-19, had suspicion of COVID-19 in a family member or a close contact or had been in contact with people diagnosed with COVID-19 during the last 14 days. Five health workers (1%) reported a confirmed diagnosis of COVID-19.

According to the EPWBI, 70.02% of the participants were at risk (cut-off ≥ 3 points for physicians and ≥ 2 for the rest of the health workers) at the basal evaluation. In the bivariate analysis, significant differences (p < .05) in well-being status were observed among age groups, education level, and region of residence (Table 1). Medical staff presented the highest proportion of participants at risk (34.93%,) while laboratory workers were the ones with the lower proportion (1.97%) at risk. All participants with a confirmed COVID-19 diagnosis (n = 5) and 22 of the 27 participants (81.48%) who had had contact with a COVID-19 positive person during the last 14 days scored with risk according to EPWBI.

On the other hand, according to the TOP-8 score, answered by 506 participants, 57.31% had a mild risk of PTSD, 7.91% a moderate risk, and 2.77% a severe risk. A bivariate analysis of these categories with the socio-demographic variables showed significant differences (p < .05) among the region of residence (higher frequency of mild, moderate, and severe risk for PTSD in the metropolitan zone of the country), the workplace profile (higher frequency of mild and moderate risk at NSSH and of severe risk at private institutions), and the professional profile (higher frequency of mild and moderate risk in physicians and nurses; higher free risk frequency in psychologist). Related to COVID-19 situation, of the 5 health workers with confirmed COVID-19 diagnosis, 3 (60%) had mild PTSD risk and 1 (20%) severe PTSD risk. Of the 27 participants who reported being in contact with a COVID-19 positive person during the last 14 days, 22 (81.48%) had mild PTSD risk, and 3 (11.11%) had severe PTSD risk (Table 2).

TOP-8 and EPWBI total scores were moderately and significantly correlated (r = .55, p < .01).

Discussion and conclusion

The purpose of the present study was to explore sociodemographic and COVID-19-related characteristics of health workers assisting to mindfulness online sessions during the early phase (first seven weeks) of SARS-COV2 pandemic in Mexico, and to describe the prevalence of PTSD symptoms and alterations in well-being among the participants. Seventy percent of the health workers attending online group mindfulness sessions presented risk scores on the basal EPWBI. This is important to emphasize because, according to the Well-being Research Document (^{Dyrbye, Satele, Sloan, & Shanafelt, 2013}), scoring ≥ 3 on EPWBI associated with a 2-fold higher risk of reporting a recent medical error, 5-fold higher risk of burnout, 4-fold higher risk of severe fatigue, 2-fold higher risk of suicidal ideation, and 3-fold higher risk of poor overall quality of life, all of which might impact in health workers well-being or even their families. In addition, there might be undesirable effects for the patients’ safety. High rates of burnout and mental health problems on physicians and nurses had already been reported worldwide before the pandemic and were being attended and monitored as they meant a great risk for patient care (^{Panagioti et al., 2018}). Health workers well-being, then, should be monitored even more closely during and after this pandemic.

Risk, according to the EPWBI, was more frequent in female workers between 30 to 49 years old, for those living in metropolitan or central zones of the country (the regions more affected during the pandemic), for physicians (although not statistically significant), and for those being diagnosed with COVID-19 or exposed to a person with the diagnosis during the last 14 days. Likewise, 68% of the participants had mild to high risk of PTSD according to TOP-8 (although only 10.6% had moderate or high scores), and the risk was higher for those living at Mexico City and its metropolitan area, working at private institutions, being female, a physician or a nurse, and having been diagnosed with COVID-19 or exposed to a person with the diagnosis during the last 14 days. The latter is consistent with other studies that have found higher vulnerability for PTSD in urban women due to biological factors, a higher occurrence of previous traumatic events, and more difficult social conditions (^{Robles-García, Fresán, & Yoldi, 2020}), all of which continue to be risk factors at our country, adding now the great fear, especially in female health workers, of getting infected by SARS-COV2 and transmitting it to their families. Thus, female health workers at urban hospitals could be at special risk for developing PTSD and must be followed up and supported during the actual pandemic. We consider that one aspect of the interventions must be directed to comfort and guarantee safety and early attention for their families in case they get COVID-19. Our virtual clinic offers support for the health workers giving feedback and offering other psychological therapeutic alternatives when the screening tests score with risk.

The PTSD frequencies here reported are higher than those reported for general population (10%) (^{White et al., 2015}) for health workers (33%) (^{Luftman et al., 2017}) or even emergency physicians (15.8%) (^{DeLucia et al., 2019}) before COVID-19 pandemic, although different measuring instruments were used and our prevalence includes mild cases of PTSD and, so, results cannot be totally comparable. Anyway, even mild cases detection offers the opportunity for early intervention, so we found it useful to report the data. Well-being risk (considering well-being as an opposite to burnout) coincides with the prevalence reported on other health workers (i.e., 24%) in the U.S.A. Surgeons (^{Shanafelt et al., 2014a}), 34% in oncologists (^{Shanafelt et al., 2014b}), and the general prevalence of burnout syndrome before the pandemic (44%) (^{Kane, 2019}).

Although some of the participants were recruited through the UNAM’s National Digital Survey of Mental Health (1.38%), most assisted by direct invitation of other health workers or thanks to the broadcasting of the strategy. This is positive because we can say that the target population has been reached in a friendly way and this can be a good strategy for reducing the mental assistance gap (^{World Health Organization, 2020c}). Additionally, most of the participants were not pre-selected for having burnout, post-traumatic stress or compassion fatigue symptoms, and may be considered more representative of general population of health workers who can then be assumed to have had high levels of distress at the early phase of the pandemic.

Something else to be considered, in the particular case of Mexico, is that the community spread phase of COVID-19 conditioned many changes at the sanitary organization: massive hiring of health personnel (^{Secretaría de Salud, 2020c}) and the increase of new COVID cases (among others) all of which had a great impact the on the resilience ability of the health personnel (^{United Nations, 2020}). The aforementioned reinforces the importance of detecting and attending health workers’ mental health, especially at crises times as the actual pandemic.

Limitations: As this is a cross-sectional view of a group attending an intervention, no causal inferences can be made. Furthermore, we did not analyze the existence of other psychiatric comorbidities, although many of the participants were initially filtered through the National Survey, which gives the opportunity to analyze this on the future. The representativeness of the sample might have been biased due to the limitations of the access to the internet signal in many rural areas of the country and the scope of the information disseminated and broadcasted throughout the social media. Also, even when INEGI reports that 44.6% of the Mexican population has internet access, non-medical staff may have more barriers for internet access, less resources for having computers or smartphones, or digital gaps that may hamper their participation, and thus might have been underrepresented. We did not explore the percentage of participants that were front-line health workers nor if they were staff physicians or medical residents. More specific studies with these particular workers would be important.

In conclusion, the present study shows that healthcare workers are at risk of suffering mental health symptoms and of developing PTSD. Seven weeks after initiating the National Mental Health Evaluation, Prevention and Remote psychological strategies for health workers, we observed the health workers’ participation throughout many regions of the country. In addition to being a challenge, it also represents an opportunity to generate digital programs and integrated networks in order to provide mental health the kind of care that promotes a better quality of life, just like the WHO has recommended (^{Organización Mundial de la Salud, 2013}; ^{World Health Organization, 2020b}).

We believe that these results highlight the feasibility of screening and initially attending all health workers remotely as a prevention strategy for mental health which can be extended to all health dependences as a national mental health observatory for the mental health consequences of COVID-19 pandemic that has just started.