Características clínicas y sociodemográficas de pacientes tratados con terapia electroconvulsiva bajo anestesia y relajación (TECAR) en una institución de salud mental de Risaralda, Colombia; 2020-2021
Características clínicas y sociodemográficas de pacientes tratados con terapia electroconvulsiva bajo anestesia y relajación (TECAR) en una institución de salud mental de Risaralda, Colombia; 2020-2021
Director
Gutiérrez Segura, Julio Cesar
Caicedo González, Claudia María
Autor corporativo
Recolector de datos
Otros/Desconocido
Director audiovisual
Editor/Compilador
Editores
Universidad Tecnológica de Pereira
Tipo de Material
Fecha
2022
Cita bibliográfica
Título de serie/ reporte/ volumen/ colección
Es Parte de
Resumen
El presente es un estudio descriptivo de corte transversal, donde se evaluaron pacientes que recibieron TEC-AR en el período comprendido entre enero de 2020 y diciembre de 2021 en una unidad mental del departamento de Risaralda (Colombia). Se construyó una base de datos compilando los datos de cada paciente: datos sociodemográficos, historia de enfermedad mental, uso de psicofármacos y respuesta a la TECAR. Además, se recolectaron el número de sesiones recibidas por paciente con sus respectivos parámetros de TECAR y las complicaciones que se presentaron en el procedimiento. Se estableció una potencia del 80% con un intervalo de confianza del 95%; una p menor a 0.05 fue considerada significativa. Se generaron medidas de frecuencia, de tendencia central y dispersión; posteriormente, se evaluó sí se producían diferencias significativas entre los signos vitales pre y post TECAR a través de una comparación de medianas mediante una prueba de U-Mann de Whitney. Se evaluaron las variables que pudieran estar asociadas a mayor frecuencia de complicaciones y a no mejoría posterior a la TECAR mediante pruebas de chi-cuadrado y aquellas que tuvieron un valor de p menor a 0.2 fueron incluidas en un modelo de regresión logística binomial para cada desenlace.
This is a cross-sectional study, which included patients that received ECT between January 2020 and December 2021, in a mental health unit in the city of Pereira/Colombia. A database was built by compiling each patient’s data: sociodemographic data, history of mental illness, psychoactive drug use, and response to ECT. Moreover, several sessions per patient with their respective ECT parameters and the complications that occurred during or after the procedure were collected. A power measure of 80% with a confidence interval of 95% was established; a pless than 0.05 was considered statistically significant. Measures of frequency, central tendency, and dispersion were generated. Additionally, it was evaluated whether there were significant differences between vital signs before and after ECT through a comparison of medians using a Mann-Whitney U test. Variables that could be associated with a higher frequency of complications and no improvement after ECT were evaluated using chi-square tests, and those with a p value lower than 0.2 were included in binomial logistic regression analysis for each outcome.
This is a cross-sectional study, which included patients that received ECT between January 2020 and December 2021, in a mental health unit in the city of Pereira/Colombia. A database was built by compiling each patient’s data: sociodemographic data, history of mental illness, psychoactive drug use, and response to ECT. Moreover, several sessions per patient with their respective ECT parameters and the complications that occurred during or after the procedure were collected. A power measure of 80% with a confidence interval of 95% was established; a pless than 0.05 was considered statistically significant. Measures of frequency, central tendency, and dispersion were generated. Additionally, it was evaluated whether there were significant differences between vital signs before and after ECT through a comparison of medians using a Mann-Whitney U test. Variables that could be associated with a higher frequency of complications and no improvement after ECT were evaluated using chi-square tests, and those with a p value lower than 0.2 were included in binomial logistic regression analysis for each outcome.