This study examined the impact of the Abriendo Puertas parent education program among a large sample of low-income, Latino parents and caregivers of preschool children. In all, 922 parents were randomly assigned to the program ( n = 468) or a waitlist control group ( n = 454). Pretest data and posttest data (5-6 weeks postintervention) from parents (86.4% response rate) were collected from both the treatment and control groups. At each time point, parents reported on their knowledge, attitudes, and behaviors related to enhancing their children’s school readiness. Confirmatory factor analyses were conducted to assess the factorial validity of each survey scale, and path analyses were conducted to compare the outcomes of the treatment and control groups. In addition, to assess fade-out of program affects among treatment parents, follow-up data were collected 3 months postintervention. Intent-to-treat analyses found that, compared with the control group, the treatment group adopted parenting practices that enhanced preschool children’s preparation for school, gained knowledge about high-quality early child care and education settings, improved their ability to set goals for their children, and gained an appreciation for their role as models for their children. No differences were found between the control and treatment groups on parenting practices related to emotional expression, parental advocacy, or healthy behaviors. Results indicate that the Abriendo Puertas program improved parents’ and caregivers’ knowledge, attitudes, and behaviors. Results of this evaluation help build the evidence base on culturally relevant parenting programs for Latino parents of preschoolers.
Conclusiones: ambos procedimientos de ajuste son igualmente eficaces en la detección de problemas de eficiencia, pero el modelo de regresión lineal múltiple, para estimar la estadía esperada, resulta mejor que el de los Grupos de Diagnósticos Relacionados por razones principalmente económicas. Este hecho avala su utilización en países o instituciones de recursos limitados como los propios de países no desarrollados.
With the purpose of identifying factors that explain variations in length of postoperative stay in a general surgery unit, information from 666 clinical records of discharged alive patients was collected. Factors related to the surgical procedure, the severity of the disease and the medical team together with sociodemographic characteristics of the patients were analyzed. Statistical analysis was based on analysis of variance and multiple linear regression. Variables with statistically significant regression coefficients (p < 0.001) were in this order: severity of complications, type of intervention, need for reintervention and severity of diagnosis. Sixty-seven percent of length of stay variation was explained by the included variables. Results allow to suggest an evaluation procedure which takes into account patient and operation characteristics.
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