ABSTRACT
Resumen Antecedentes. La inteligencia artificial (IA) simula los procesos cognitivos transducidos a sistemas informáticos; posibilita tomar decisiones con alto nivel de eficacia, ello permite hacer diagnósticos y predicciones clínicas con base en el análisis con algoritmos precisos. Una de las consecuencias de la pandemia por Covid-19 es el daño en salud mental en la población, la IA y la atención a distancia permite el diagnóstico e intervención de un número importante de personas que buscan apps y espacios virtuales de atención psicológica. Objetivo. Identificar los niveles de ansiedad, autoestima, depresión, fuerza personal, ideación suicida, duelo e inteligencia emocional empleando una app de bienestar durante la pandemia por Covid-19. Material y Método. Se trató de un diseño no probabilístico, no experimental, transversal, descriptivo, cuantitativo y comparativo. Se trató de una n= 30,466 mexicanos de todos los estados del país, usuarios de la aplicación de bienestar psicológico y salud mental Jenny Mindful, que respondieron los instrumentos ex profesos para esta investigación por convocatoria en la app. Procedimiento: mediante la app se envió invitación abierta para participar en la investigación de salud mental durante la pandemia por Covid-19, que incluía los instrumentos a contestar, objetivos, y las indicaciones, del 6 de febrero de 2020 al 3 de mayo de 2021. La app sólo arroja los resultados de los instrumentos contestados, identificando al usuario, el género, la edad; y en caso de los adultos, el rango de salario, la actividad laboral, la empresa de trabajo y el área. Resultados. Del total de los usuarios de la app que participaron, el 83.6% fueron mujeres; el 23% fueron adolescentes, el 45% adultos emergentes, el 31% adultos, y el 1% > 49 años de edad. Se encontraron niveles altos en la población con ansiedad, depresión, estrés e ideación suicida y duelo, con diferencias significativas mayores en mujeres, adolescentes y adultos emergentes; la autoestima con puntuaciones más altas en el grupo de mayores a 49 años. Fuerza personal e inteligencia emocional, factores ambos protectores, tuvieron significancia estadística a favor de adultos, mayores a 49 años, y puntuaciones bajas en el grupo de adolescentes. Conclusiones. Mediante la aplicación de instrumentos de salud mental con una app de bienestar psicológico, se pudo seleccionar a una n elevada de participantes de diferentes grupos etarios, identificando puntuaciones altas de ansiedad, depresión, e ideación suicida en niveles de riesgo, y con diferencias significativas en adolescentes, adultos emergentes, y mujeres. Los adultos mayores de 49 años tuvieron puntuaciones positivas en Fuerza personal e Inteligencia emocional.
Abstract Background. Artificial intelligence (AI) simulates cognitive processes transduced to computer systems. It allows making decisions with a high level of effectiveness, this permit making diagnoses and clinical predictions based on the algorithms. One of the consequences of Covid-19 disease is the damage to mental health in the population. AI and remote care allow the diagnosis and intervention of a significant number of people who are looking for apps and virtual spaces for psychological care. Objective. To identify the levels of anxiety, self-esteem, depression, personal strength, suicidal ideation, grief and emotional intelligence by means of a well-being app during the Covid-19 pandemic. Material and Methods. It was a non-probabilistic, non-experimental, cross-sectional, descriptive, quantitative and comparative design. Procedure. Through the app, an open invitation was sent to participate in mental health research during the Covid-19 pandemic, which included the instruments to be answered, objectives, and indications, from February six of 2020 to May Three of 2021. The app returns the results of the answered instruments, identifying the user, gender, age, and in the case of adults, the salary range, the work activity, the work company and the work area. Results. Of the total app users who participated, 83.6% were women; 23% were adolescents, 45% emerging adults, 31% adults, and 1% > 49 years of age. High levels of anxiety, depression, stress and suicidal ideation and grief were found in the population, with significant differences greater in women, adolescents, and emerging adults; self-esteem with higher scores in the group older than 49 years. Personal strength and emotional intelligence, both protective factors, had statistical significance in favor of adults, older than 49 years, and low scores in the group of adolescents. Conclusions. With the application of mental health instruments with a psychological well-being app, it was possible to select a high n of participants from different age groups, identifying high scores for anxiety, depression, and suicidal ideation at risk levels, and with significant differences in adolescents, emerging adults, and women. Those over 49 years of age had positive scores on Personal Strength and Emotional Intelligence.
ABSTRACT
China's pre - hospital emergency resources are shortage, city traffic is congestion, and the arrival of ambulance takes some time. For this reason, the emergency center designed and manufactured a pre - hospital e-mergency volunteer mobile application software. This paper analyzed some ethical problems encountering in the practical application of the software in the 120 emergency alarm of Hangzhou area, such as volunteer identification, patient information confidentiality, volunteer rescue whether to cause a dispute and other issues, and gave the rele-vant solution countermeasures, including setting access threshold for the emergency volunteer, adopting various technical measures to protect the information of patient and formulating and perfecting the relevant legal regulations.