ABSTRACT
Objectives: To assess the baseline prevalence of mental health conditions and associated exposures in a cohort of health care workers (HCWs) in Guatemala. Methods: We analyzed baseline information from the 2020 Web-based COVID-19 Health Care Workers Study (HEROES)-Guatemala. Outcomes included mental distress and depressive symptoms. Exposures included COVID-19 experiences, sociodemographic characteristics, and job characteristics. We used crude and adjusted Poisson regression models in our analyses. Results: Of the 1801 HCWs who accepted to participate, 1522 (84.5%) completed the questionnaire; 1014 (66.8%) were women. Among the participants, 59.1% (95% confidence interval [CI] = 56.6, 61.5) screened positive for mental distress and 23% (95% CI = 20.9, 25.2) for moderate to severe depressive symptoms. COVID-19 experiences, sociodemographic characteristics, and job characteristics were associated with the study outcomes. Participants who were worried about COVID-19 infection were at higher risk of mental distress (relative risk [RR] = 1.47; 95% CI = 1.30, 1.66) and depressive symptoms (RR = 1.51; 95% CI = 1.17, 1.96). Similarly, the youngest participants were at elevated risk of mental distress (RR = 1.80; 95% CI = 1.24, 2.63) and depressive symptoms (OR = 4.58; 95% CI = 1.51, 13.87). Conclusions: Mental health conditions are highly prevalent among Guatemalan.
Objetivos: Avaliar a prevalência basal de condições de saúde mental e exposições associadas em uma coorte de trabalhadores da saúde (TS) na Guatemala. Métodos: Analisamos as informações da linha de base do estudo on-line sobre trabalhadores da saúde e a COVID-19 (HEROES), realizado em 2020 na Guatemala. Os desfechos incluíram angústia debilitante e sintomas de depressão. As exposições incluíram experiências com a COVID-19, características sociodemográficas e características do trabalho. Usamos em nossas análises modelos de regressão bruta e ajustada de Poisson. Resultados: Dos 1801 TS que concordaram em participar, 1522 (84,5%) preencheram o questionário, sendo que 1014 (66,8%) eram mulheres. Dentre esses participantes, 59,1% (intervalo de confiança [IC] de 95%=56,6; 61,5) apresentaram resultado positivo na triagem de angústia debilitante e 23% (IC 95%=20,9, 25,2) apresentaram resultado positivo para sintomas de depressão moderados a graves. Experiências com COVID-19, e características sociodemográficas e de trabalho apresentaram associação com os resultados do estudo. Os participantes que estavam preocupados com infecção por COVID-19 apresentaram maior risco de angústia debilitante (risco relativo [RR]=1,47; IC95%=1,30; 1,66) e sintomas de depressão (RR=1,51; IC 95% =1,17; 1,96). Da mesma maneira, os participantes mais jovens apresentaram alto risco de apresentarem angústia debilitante (RR=1,80; IC 95%=1,24; 2,63) e sintomas de depressão (OR=4,58; IC 95%=1,51; 13,87). Conclusões: Condições de saúde mental são altamente prevalentes entre os guatemaltecos.
ABSTRACT
RESUMEN Objetivos. Evaluar la prevalencia de base de los trastornos de salud mental y exposiciones conexas en una cohorte de trabajadores de salud de Guatemala. Métodos Se analizó la información de base del estudio HÉROES (por COVID-19 HEalth caRe wOrkeRs Study, sobre los trabajadores de salud durante la pandemia) en Guatemala, realizado en línea en el 2020. Las variables de resultado fueron malestar psicológico y síntomas depresivos. Las exposiciones incluyeron experiencias con la COVID-19, características sociodemográficas y características del trabajo. En los análisis se utilizaron modelos de regresión de Poisson brutos y ajustados. Resultados. De los 1801 trabajadores de salud que aceptaron participar, 1522 (84,5%) completaron el cuestionario;1014 (66,8%) eran mujeres. De los participantes, 59,1% (intervalo de confianza de 95% [IC 95%] = 56,6-61,5) tuvo un tamizaje positivo para malestar psicológico y 23% (IC 95% = 20,9-25,2) para síntomas depresivos de moderados a graves. Las experiencias con la pandemia de COVID-19, las características sociodemográficas y las características del trabajo se correlacionaron con las variables de resultado del estudio. Los participantes que estaban preocupados por el contagio de la COVID-19 tuvieron un mayor riesgo de malestar psicológico (riesgo relativo [RR] = 1,47;IC 95% = 1,30-1,66) y síntomas depresivos (RR = 1,51;IC 95% = 1,17-1,96). Asimismo, los participantes más jóvenes presentaban un riesgo alto de malestar psicológico (RR = 1,80;IC 95% = 1,24-2,63) y síntomas depresivos (razón de posibilidades [OR] = 4,58;IC 95% = 1,51-13,87). Conclusiones. Las afecciones de salud mental tienen una prevalencia sumamente alta en los trabajadores de salud de Guatemala.
ABSTRACT
Objectives. To assess the baseline prevalence of mental health conditions and associated exposures in a cohort of health care workers (HCWs) in Guatemala. Methods. We analyzed baseline information from the 2020 Web-based COVID-19 Health Care Workers Study (HEROES)-Guatemala. Outcomes included mental distress and depressive symptoms. Exposures included COVID-19 experiences, sociodemographic characteristics, and job characteristics. We used crude and adjusted Poisson regression models in our analyses. Results. Of the 1801 HCWs who accepted to participate, 1522 (84.5%) completed the questionnaire; 1014 (66.8%) were women. Among the participants, 59.1% (95% confidence interval [CI] = 56.6, 61.5) screened positive for mental distress and 23% (95% CI = 20.9, 25.2) for moderate to severe depressive symptoms. COVID-19 experiences, sociodemographic characteristics, and job characteristics were associated with the study outcomes. Participants who were worried about COVID-19 infection were at higher risk of mental distress (relative risk [RR] = 1.47; 95% CI = 1.30, 1.66) and depressive symptoms (RR = 1.51; 95% CI = 1.17, 1.96). Similarly, the youngest participants were at elevated risk of mental distress (RR = 1.80; 95% CI = 1.24, 2.63) and depressive symptoms (OR = 4.58; 95% CI = 1.51, 13.87). Conclusions. Mental health conditions are highly prevalent among Guatemalan HCWs. (Am J Public Health. 2022;112(S6):S602-S614. https://doi.org/10.2105/AJPH.2021.306648).
Subject(s)
COVID-19 , Anxiety/epidemiology , COVID-19/epidemiology , Cohort Studies , Depression/epidemiology , Female , Health Personnel/psychology , Humans , Male , Mental Health , Pandemics , SARS-CoV-2ABSTRACT
Scientific diasporas are organized groups of professionals who work together to contribute to their country of origin. Since the start of the COVID-19 pandemic in 2020, scientific diasporas around the world have focused their efforts to support the public health response in their countries of origin. As the first cases of COVID-19 were reported in Guatemala in March of 2020, a team of four Guatemalan nationals, residing abroad and in-country, started collaborating to tackle COVID-19 misinformation and issues with healthcare services navigation. Their collaboration was facilitated by FUNDEGUA, a Guatemalan nonprofit, which provided a legal framework to establish partnerships and fundraise. The team created a digital technological system called ALMA (Asistente de Logística Médica Automatizada in Spanish). A female character named ALMA was created to personify the digital information services, through social media profiles, an interactive website, a free national multilingual call center, and an artificial intelligence-based chatbot. More members joined the nascent interdisciplinary diaspora through professional/personal references or social media. ALMA provided a platform for Guatemalan nationals to contribute with their skillset to their country during a global crisis through flexible schedules and short- or long-term involvement. As the team grew, the services for query resolution and information dissemination expanded as well. The ALMA initiative shows that scientific diasporas can provide an avenue for professionals to contribute to Guatemala, regardless of their residence and job commitments.
ABSTRACT
Objectives. To describe excess mortality during the COVID-19 pandemic in Guatemala during 2020 by week, age, sex, and place of death. Methods. We used mortality data from 2015 to 2020, gathered through the vital registration system of Guatemala. We calculated weekly mortality rates, overall and stratified by age, sex, and place of death. We fitted a generalized additive model to calculate excess deaths, adjusting for seasonality and secular trends and compared excess deaths to the official COVID-19 mortality count. Results. We found an initial decline of 26% in mortality rates during the first weeks of the pandemic in 2020, compared with 2015 to 2019. These declines were sustained through October 2020 for the population younger than 20 years and for deaths in public spaces and returned to normal from July onward in the population aged 20 to 39 years. We found a peak of 73% excess mortality in mid-July, especially in the population aged 40 years or older. We estimated a total of 8036 excess deaths (95% confidence interval = 7935, 8137) in 2020, 46% higher than the official COVID-19 mortality count. Conclusions. The extent of this health crisis is underestimated when COVID-19 confirmed death counts are used. (Am J Public Health. 2021;111(10): 1839-1846. https://doi.org/10.2105/AJPH.2021.306452).