We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
REGRESIÓN LOGÍSTICA BINARIA EN FACTORES ASOCIADOS AL ABANDONO DEL TRATAMIENTO DE TUBERCULOSIS, LIMA 2023.
- Authors
José Aníbal, Cueva Román; Juan Jesús, Soria Quijaite
- Abstract
In Peru, tuberculosis is among the first 15 causes of death in the entire nation and is considered endemic. The problem of abandoning treatment emerges as a major challenge in their fight. In this sense, the objective of this study was to design an efficient binary logistic regression model on sociodemographic factors for the prediction of abandonment of tuberculosis treatment in Peruvian patients. It was an observational, cross-sectional, and analytical research, where we worked with 362 subjects who made up the control and case groups. A data collection form was used, and data processing was carried out with the statistical programs RStudio and IBM SPSS Statistics. It is concluded that the male gender presents a higher proportion of cases of pulmonary tuberculosis, increasing the probability of harm when faced with associated factors. The length of hospitalization and the lack of clear information about laboratory tests are risks for abandoning treatment and the consumption of hallucinogenic substances also increases the probability of abandonment. It is concluded that there is a notable absence of evaluations with a predictive approach since most previous studies have adopted a purely explanatory approach.
- Subjects
PERU; TUBERCULOSIS treatment; STATISTICAL models; RISK assessment; CROSS-sectional method; LOGISTIC regression analysis; SCIENTIFIC observation; PERUVIANS; PATIENT refusal of treatment; SOCIODEMOGRAPHIC factors; DATA analysis software; LENGTH of stay in hospitals; TUBERCULOSIS
- Publication
Revista Científica de Enfermería (2071-5080), 2024, Vol 13, Issue 1, p32
- ISSN
2071-5080
- Publication type
Article