Implementation Science of Telepsychotherapy for Anxiety, Depression, and Somatization in Health Care Workers Dealing with COVID-19.

Introduction: Cognitive behavioral therapy (CBT) has proven to be effective in treating affective and somatic symptoms, which are among the leading mental health problems of health care workers (HCWs) dealing with COVID-19 (HCW-COVID-19). However, efforts to develop and evaluate the strategies required to promote its implementation in clinical practice are still scarce, particularly in low- and middle-income countries. Objective: To describe and evaluate the implementation process and clinical impact of a brief, remote, manualized CBT-based intervention for moderate anxiety, depressive, and somatic symptoms among Mexican HCW-COVID-19 ≥18 years old. Methods: The implementation process comprises community engagement, intervention systematization and education, leadership engagement, and team-based coaching as main strategies. A total of 26 participants completed self-report measures of symptoms before and after treatment, and a subsample of 21 answered a final questionnaire on the acceptability of the intervention. Therapists registered the techniques used in each case, regardless of whether they were part of the intervention manual. Results: The number of sessions was 4.6 (2.43). The most frequently employed techniques were those included in the intervention manual, especially identifying and modifying maladaptive thoughts, used to treat 70% of HCW-COVID-19. Supplementary techniques were implemented to enhance treatment or meet HCW-COVID-19s special needs (such as workplace issues, insomnia, COVID-19 status, and bereavement). The intervention had a significant effect (delta Cohen's coefficients ≥1), and the majority of HCW-COVID-19 were "totally satisfied" with its contents and considered it "not complex" (95.2% and 76.1%, respectively). Conclusions: Telepsychotherapy for anxiety, depression, and somatization in HCW coping with health emergencies in middle-income countries is a feasible, clinically valuable, and acceptable form of treatment.

Determinantes sociales asociados con ideación suicida durante la pandemia por Covid-19 en México.

OBJETIVO: Estimar la prevalencia de la ideación suicida (IS) y su asociación con los determinantes sociales (DS) en la pobla-ción mexicana durante la pandemia de Covid-19. Material y métodos. Datos de la encuesta de Atención Psicológica a Distancia para la Salud Mental debido a la Contingencia por Covid-19 obtenidos durante 2020. La muestra fue de 79 665. Se realizaron modelos de regresión logística obteniendo razones de momios (RM) con intervalos de confianza del 95% (IC95%). RESULTADOS: La prevalencia de IS fue de 17.1% (mujeres:18.8% y hombres: 14.4%). Principales DS asociados fueron: ser mujer (RM=1.11; IC95% 1.06,1.13), mujeres jóvenes (RM=1.30; IC95% 1.09,1.54), escolaridad (RM=1.89; IC95% 1.14,3.12), soltera(o) (RM= 1.31; IC95% 1.24,1.38), desempleo (RM= 2.33; IC95% 2.21,2.45), distanciamiento social (RM 1.81; IC95%1.68,1.96), vivir solo (RM 1.18; IC95% 1.10,1.27), pérdida de familiar por Covid-19 (RM= 1.41; IC95%1.30,1.54), tener un diagnóstico de depresión (RM= 5.72; IC95% 5.41,6.05), ser víctima de violencia física (RM=2.71; IC95% 2.49,2.95), consumo excesivo de alcohol (RM=1.68; IC95%1.58,1.79) y drogas (RM= 3.13; IC95% 2.88,3.41), y sospecha o diagnóstico de Covid-19 (RM=1.79; IC95% 1.67,1.89). CONCLUSIONES: La prevalencia de IS durante la pandemia por Covid-19 fue elevada; se discute la relevancia de los DS estructurales e intermedios que influyen en la IS.

Measurement invariance of the GAD-5 Generalized Anxiety Disorder Scale in a Mexican general population sample.

The primary objective of this study was to evaluate the measurement of invariance by sex, age, and educational level of an online version of the Generalized Anxiety Disorder Scale in a five-item version (GAD-5). Configural, metric, scalar, and strict invariance were evaluated using data from 79,473 respondents who answered a mental health questionnaire during the COVID-19 pandemic in Mexico. The sex variable was classified as male or female; age was categorized as minors, youth, young adults, adults, and older adults; and educational level was divided into basic, upper secondary, higher, and graduate education. To test for configural invariance, confirmatory factor models were constructed. For metric invariance, equality restrictions were established for the factor loadings between the construct and its items; for scalar invariance, equality restrictions were established between the intercepts; strict variance implied the additional restriction of the residuals. Statistical analysis was performed in R software with the lavaan package. The results show that with respect to sex, age, and educational level, configural and metric measurement invariance was confirmed (ΔCFI < 0.002; ΔRMSEA < 0.015). However, with respect to scalar and strict invariance, the results showed significant differences regarding the fit model (ΔCFI > 0.002; ΔRMSEA > 0.015). We conclude that the GAD-5 presents configural and metric invariance for sex, age, and educational level, and scalar invariance for sex and age groups. However, the scale does not demonstrate strict invariance. We discuss the implications and suggest that this result could be related to the evaluation of sociodemographic variables.

Remote Screening for Alcohol, Smoking, and Substance Involvement by Sex, Age, Lockdown Condition, and Psychological Care-Seeking in the Primary Care Setting during the COVID-19 Pandemic in México.

The COVID-19 pandemic has created a psychoactive substance use crisis in many countries, including México. Remote valid tools to identify high-risk groups in need for treatment are a prerequisite for cost-effective interventions in primary care settings. To determine the validity and correlates of the remote applications of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) with sex, age, and psychological care-seeking, offered remotely in primary settings, during the COVID-19 pandemic in Mexico, a total sample of 19,109 Mexicans, with an average age of 34.38 years (SD = 12.28, range = 18-80), 65.8% of whom were women (n = 12,578), 29.6% in lockdown (5,660), 39.8% in partial lockdown (7,611), 30.60% not in lockdown (5,838), and 14.75% of whom were seeking psychological care (n = 2,819), completed ASSIST through a programmed Web application. The dimensionality of the scale to verify construct validity evidence was achieved through a confirmatory factor analysis model (CFA). We represented the distribution of subjects by sex, age, lockdown condition, and psychological care-seeking, based on their lifetime consumption in 2021. We also compared the total distribution by consumption risk level and recommended type of intervention, psychological care-seeking, and age. The tool included ten dimensions (one for each substance, such as tobacco use), confirmed through the CFA. In general, our findings indicated that men reported high lifetime psychoactive substance use and risky drug use levels. A high percentage of 18 to 19-year-old women reported lifetime tobacco and alcohol use. Additionally, a high number of all-age women reported lifetime sedative and opioid use. Also, a high proportion of partially lockdown participants reported lifetime drug use. Moreover, a high percentage of subjects seeking psychological care were at a moderate and high risk of drug use, which required brief or intensive treatment. Our findings indicate that it was possible to validate the factor structure of the programmed ASSIST for remote use. More men than women reported high lifetime psychoactive substance use and risky levels because of their consumption. At the same time, younger women reported similar and even higher lifetime tobacco, alcohol, and cocaine use than same-age men. More all-age women reported lifetime use of sedatives than all-age men. More all-age partially lockdown participants reported lifetime use of drugs. In general, subjects at greater risk and those requiring psychological care are more likely to seek care. Community and primary care screening will make it possible to implement effective early interventions to reduce the substance use risks associated with health emergencies. Future studies are required to determine the diagnosis of substance use disorders to evaluate the cut-off points in the screening test to discriminate between the presence and absence of symptoms and evaluate the effect of remote psychological care.

Measurement invariance of the GAD-5 Generalized Anxiety Disorder Scale in a Mexican general population sample

The primary objective of this study was to evaluate the measurement of invariance by sex, age, and educational level of an online version of the Generalized Anxiety Disorder Scale in a five-item version (GAD-5). Configural, metric, scalar, and strict invariance were evaluated using data from 79,473 respondents who answered a mental health questionnaire during the COVID-19 pandemic in Mexico. The sex variable was classified as male or female;age was categorized as minors, youth, young adults, adults, and older adults;and educational level was divided into basic, upper secondary, higher, and graduate education. To test for configural invariance, confirmatory factor models were constructed. For metric invariance, equality restrictions were established for the factor loadings between the construct and its items;for scalar invariance, equality restrictions were established between the intercepts;strict variance implied the additional restriction of the residuals. Statistical analysis was performed in R software with the lavaan package. The results show that with respect to sex, age, and educational level, configural and metric measurement invariance was confirmed (ΔCFI < 0.002;ΔRMSEA < 0.015). However, with respect to scalar and strict invariance, the results showed significant differences regarding the fit model (ΔCFI > 0.002;ΔRMSEA > 0.015). We conclude that the GAD-5 presents configural and metric invariance for sex, age, and educational level, and scalar invariance for sex and age groups. However, the scale does not demonstrate strict invariance. We discuss the implications and suggest that this result could be related to the evaluation of sociodemographic variables.

Depressive, Anxious, and Post-Traumatic Stress Symptoms Related to Violence during the COVID-19 Pandemic, by Sex, COVID-19 Status, and Intervention-Seeking Conditions among the General Population.

Worldwide, three out of four of the general population have reported experiencing violence. Governments should address solutions to violence and its effects on mental health. The study aimed to determine depressive, anxious, and posttraumatic stress symptoms related to the violence experienced during the COVID-19 pandemic in the general population. The study was conducted with 18,449 Mexicans of 33 years (SD = 11.00, range = 18-59), with 12,188 (66.10%) being women, 3559 (19.29%) having COVID-19, 2706 (14.67%) seeking psychological care, and 5712 (30.96%) experiencing violence. Subjects completed the Major Depressive Episode (MDE) Checklist, Generalized Anxiety (GA) Scale, and the Posttraumatic Stress (PTS) Checklists (PCL-5) programmed in a WebApp application. We assessed the dimensionality of the scales through the Confirmatory Factor Analysis (CFA), the measurement invariance, and a structural equation model (SEM). In the total sample, 28.10% fulfilled the MDE criteria, and 42.30% had high levels of GA. In the sample of those experiencing violence, 48.40% met the MDE criteria, 61.70% had high GA symptoms, and 50% met the criteria for a PTS disorder. Experiencing violence was associated with GA and severe PTS symptoms when the discomfort had bothered them for over a month since the onset of these symptoms. Subjects who had experienced violence and had mental health symptoms seemed ready for treatment. Further studies will evaluate the effect of remote psychological care to help reduce the treatment gap.

Brief Screening for Distress among Healthcare Professionals: Psychometric Properties of the Physician Well-Being Index-Spanish Version.

BACKGROUND: The Physician Well-Being Index (PWBI) is a brief, valid, reliable self-assessment instrument to identify health professionals' distress and those in need of an intervention. OBJECTIVE: to evaluate the construct, predictive validity (of depression, suicidal ideation, insomnia, and generalized anxiety), and internal consistency of the 7-item Spanish version of the PWBI (PWBI-S). METHODS: out of a national population of approximately 1 million Mexican healthcare professionals, a sample of 3506 subjects (42.0% physicians, 28.7% nurses and 29.3% psychologists) completed an online survey between 17 April and 7 May 2020, at the time of the COVID-19 case cluster transmission scenario in Mexico. RESULTS: In the three sub-samples, PWBI-S's Confirmatory factor analyses (adding residual covariances) exhibited adequate goodness of fit indices for the PWBS original unidimensional model. Overall Cronbach's alphas were 0.89 for physicians, 0.90 for nurses, and 0.86 for psychologists. Univariate logistic regression models showed that a cutoff point of 3 on the total score of the PWBI-S was generally related to the presence of depression, suicidal ideation, and insomnia, but not with generalized anxiety among nurses and psychologists. When trying with a cutoff point of 3, a relationship with GA was shown in psychologists, but not in nurses. CONCLUSIONS: our findings suggest that PWBI-S is a valid, reliable measure for clinical and research purposes in the field.

Screening Tool for Mental Health Problems During COVID-19 Pandemic: Psychometrics and Associations With Sex, Grieving, Contagion, and Seeking Psychological Care.

Background: The COVID-19 pandemic has created a public mental health crisis. Brief, valid electronic tools are required to evaluate mental health status, identify specific risk factors, and offer treatment when needed. Objective: To determine the construct validity, reliability, and measurement invariance of a brief screening tool for mental health symptoms by sex, loss of loved ones, personal COVID-19 status, and psychological care-seeking during the COVID-19 pandemic. Furthermore, the aim involved establishing a predictive pattern between the mental health variables. Method: A total sample of 27,320 Mexican participants, with a mean age of 32 years (SD = 12.24, range = 18-80), 67% women (n = 18,308), 23.10% with a loss of loved ones (n = 6,308), 18.3% with COVID-19 status (n = 5,005), and 18.40% seeking psychological care (n = 5,026), completed a questionnaire through a WebApp, containing socio-demographic data (sex, loss of loved ones, COVID-19 status, and psychological care-seeking) and the dimensions from the Posttraumatic Checklist, Depression-Generalized Anxiety Questionnaires, and Health Anxiety-Somatization scales. We used the confirmatory factor analysis (CFA: through maximum likelihood to continuous variable data, as an estimation method), the invariance measurement, and the structural equational modeling (SEM) to provide evidence of the construct validity of the scale and the valid path between variables. We analyzed the measurement invariance for each dimension by comparison groups to examine the extent to which the items showed comparable psychometric properties. Findings: The tool included eight dimensions: four posttraumatic stress symptoms -intrusion, avoidance, hyperactivation, and numbing, as well as depression, generalized anxiety, health anxiety, and somatization The tool's multidimensionality, was confirmed through the CFA and SEM. The participants' characteristics made it possible to describe the measurement invariance of scales because of the participants' attributes. Additionally, our findings indicated that women reported high generalized anxiety, hyperactivation, and depression. Those who lost loved ones reported elevated levels of intrusion and health anxiety symptoms. Participants who reported having COVID-19 presented with high levels of generalized anxiety symptoms. Those who sought psychological care reported high levels of generalized anxiety, intrusion, hyperactivation, and health anxiety symptoms. Our findings also show that intrusion was predicted by the avoidance dimension, while health anxiety was predicted by the intrusion dimension. Generalized anxiety was predicted by the health anxiety and hyperactivation dimensions, and hyperactivation was predicted by the depression one. Depression and somatization were predicted by the health anxiety dimension. Last, numbing was predicted by the depression and avoidance dimensions. Discussion and Outlook: Our findings indicate that it was possible to validate the factor structure of posttraumatic stress symptoms and their relationship with depression, anxiety, and somatization, describing the specific bias as a function of sociodemographic COVID-19-related variables. We also describe the predictive pattern between the mental health variables. These mental health problems were identified in the community and primary health care scenarios through the CFA and the SEM, considering the PCL, depression, generalized anxiety, health anxiety, and somatization scales adapted during the COVID-19 pandemic. Therefore, future studies should describe the diagnosis of mental health disorders, assessing the cut-off points in the tool to discriminate between the presence and absence of conditions and mental health cut-off points. Community and primary care screening will lead to effective early interventions to reduce the mental health risks associated with the current pandemic. Limitations: Future studies should follow up on the results of this study and assess consistency with diagnoses of mental health disorders and evaluate the effect of remote psychological help. Moreover, in the future, researchers should monitor the process and the time that has elapsed between the occurrence of traumatic events and the development of posttraumatic stress and other mental health risks through brief electronic measurement tools such as those used in this study.

Mental Health Problems among COVID-19 Frontline Healthcare Workers and the Other Country-Level Epidemics: The Case of Mexico.

COVID-19 frontline healthcare workers (FHCW) are struggling to cope with challenges that threaten their wellbeing. We examine the frequency and predictors of the most frequent mental health problems (MHP) among FHCW during the first COVID-19 peak in Mexico, one of the most severely affected countries in terms of FHCW's COVID-19 mortality. A cross-sectional survey was conducted between May 8 and August 18, 2020. A total of 47.5% of the sample (n = 2218) were FHCW. The most frequent MHP were insomnia, depression, posttraumatic stress symptoms, and health anxiety/somatization (whole sample: 45.7, 37.4, 33.9, and 21.3%; FHCW: 52.4, 43.4, 40.3 and 26.1, respectively). As compared to during the initial COVID-19 phase, depression and health anxiety/somatization symptoms as well as experiences of grieving due to COVID-19, personal COVID-19 status, and having relatives and close friends with COVID-19 were more frequent during the COVID-19 peak. Obesity, domestic violence, personal COVID-19 status, and grieving because of COVID-19 were included in regression models for main FHCW's MHP during the COVID-19 peak. In conclusion, measures to decrease other country-level epidemics contributing to the likelihood of COVID-19 complications (obesity) and MHP (domestic violence) as well as FHCW´s probability of COVID-19 infection could safeguard not only their physical but also mental health.

Mental Health Symptoms, Binge Drinking, and the Experience of Abuse During the COVID-19 Lockdown in Mexico.

Background: The health crisis associated with the COVID-19 pandemic is causally linked to negative mental health symptoms in the same way as other diseases such as Ebola. Objective: The purpose of this paper is to describe the relationship between mental health symptoms, binge drinking, and the experience of abuse during the COVID-19 lockdown. Method: We surveyed 9,361 participants, all Mexican, with an average age of 33 years old (SD = 10.86). In this group of people, we found out that 59% were single (5,523), 71% were women (6,693). Forty-six percentage were complying with lockdown procedures (4,286), 50% were partially complying (4,682), and 4% were not complying at all (393). The invitation to participate was open from April 24th to April 30th during the second stage of the pandemic in Mexico, in 2020, characterized by voluntary complete lockdown staying at home. Thus, we used a cross-sectional online survey design to assess mental health risk factors related to the COVID-19 pandemic. The survey was available on a WebApp designed by Linux®, PHP®, HTML®, CSS®, and JavaScript®. We calculated descriptive and inferential analysis to describe the mental health average distribution as a function of the lockdown, binge drinking, and experience of abuse. To calculate the reliability and validation of the subscales, we used Cronbach's Alpha and Factor Loading. We run the confirmatory factor loading analysis, and we described the relationship between each latent variable and its item factor load, obtained through structural modeling equations, derived from 179 iterations and 207 parameters (t[1,171] = 28,079.418, p < 0.001). We got a CFI of 0.947, a TLC of 0.940, an RMSEA of 0.049 (0.049-0.050), and an SRMR of 0.048. Findings: The results indicated that reported attitudes such as avoidance, sadness, withdrawal, anger, and anxiety were associated with acute stress, which was linked to an anxiety condition caused by uncertainty about achieving or maintaining overall good health. Discussion and Prospects: People in lockdown mentioned a sudden increase in alcohol consumption. They lived episodes of physical and emotional abuse, in contrast with those who stated that they did not go into lockdown or consume alcohol, or experienced abuse. Limitations: Further studies should diagnose mental health conditions as part of the impact of COVID-19, ensure their follow-up, and assess the effect of providing remote psychological care. There is a need to explore methods to curb the increase in the number of people affected by post-traumatic stress disorder.

Mental health problems among healthcare workers involved with the COVID-19 outbreak.

OBJECTIVE: The mental health problems and perceived needs of healthcare workers involved with coronavirus disease (COVID-19) may vary due to individual and contextual characteristics. The objective of this study was to evaluate healthcare workers' mental health problems during the common COVID-19 exposure scenario in Mexico, comparing those on the frontline with other healthcare workers according to gender and profession, determining the main risk factors for the most frequent mental health problems. METHODS: A cross-sectional online study was conducted with a non-probabilistic sample of 5,938 Mexican healthcare workers who completed brief screening measures of mental health problems and ad hoc questions about sociodemographic professional characteristics, conditions related to increased risk of COVID-19 infection, life stressors during the COVID-19 emergency, and perceived need to cope with COVID-19. RESULTS: The identified mental health problems were insomnia, depression, and posttraumatic stress disorder (PTSD), all of which were more frequent in frontline healthcare workers (52.1, 37.7, and 37.5%, respectively) and women (47.1, 33.0 %, and 16.3%, respectively). A lack of rest time was the main risk factor for insomnia (OR = 3.1, 95%CI 2.6-3.7, p ≤ 0.0001). Mourning the death of friends or loved ones due to COVID-19 was the main risk factor for depression (OR = 2.2, 95%CI 1.8-2.7, p ≤ 0.0001), and personal COVID-19 status was the main risk factor for PTSD (OR = 2.2, 95%CI 1.7-2.9, p ≤ 0.0001). CONCLUSION: The most frequent mental health problems during the common exposure scenario for COVID-19 in Mexico included the short-term psychological consequences of intense adversity. A comprehensive strategy for preventing mental health problems should focus on individuals with cumulative vulnerability and specific risk factors.