The objective of this study was to analyze the psychometric properties of the hospital birth satisfaction scale with data from the first follow-up interview of the Birth in Brazil survey. The 11 questions of the scale were asked by telephone up to six months after discharge in a stratified random sample of 16,109 women residing in all five regions of the country. The sample was randomly divided into two halves. Exploratory factor analysis (EFA) was applied to the first half in order to identify the scale’s factorial structure. The scree plot suggested the scale to be one-dimensional. The EFA demonstrated a good fit of the one-dimensional model. Factor loadings were greater than 0.5 for all items, except for the mean time transpired between leaving the home and arriving at the maternity hospital, which was excluded from the next analysis. The confirmatory factor analysis applied to the sample’s second half with the remaining ten items had a good fit and the factor loadings were > 0.50 with p-values < 0.001. The associations between birth satisfaction and the external variables, the mother’s education level (standardized coefficient = 0.073; p = 0.035), private insurance (SC = 0.183; p < 0.001) and having a companion at some point during the hospitalization for labor (SC = 0.193; p = 0.001) were all as expected. There was evidence of configural and metric invariance according to type of hospital (private or public) and type of delivery (cesarean or vaginal). These results showed that the hospital birth satisfaction scale in Brazil is a one-dimensional instrument composed of ten items.

Safety management (SM) is considered a complex task during the construction phase, given the number of high-risk activities that can lead to accidents. The differences between work as done (WAD) and work as imagined (WAI) is one of the main barriers faced by safety management. The Resilience Engineering stand out that improving in safety performance cannot be simply achieved through the use of procedures and barriers, but through the continuous monitoring. On the other hand, the use of Unmanned Aerial Systems (UAS) technology can contribute to the safety management system to support the monitoring of the daily work. This study aims to evaluate how work is performed from RE perspective through the application of the safety checklist based on the assets collected with UASs on site, focusing on the cast-in-place concrete wall constructive process, once it involves high risk of accidents during construction. For this, an exploratory case study in a construction project was conducted in Brazil, involving the following steps: (a) development of a safety monitoring protocol using UASs, (b) field tests for monitoring safety conditions with UASs along 35 weeks, and (c) data analysis. As contribution, this work identifies potential improvements on safety procedures aiming to reduce the differences between prescribed and actual work. In addition, the UASs can be used to perform regular and redundant safety inspections providing information to support managers' decisionmaking.

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Controversial results have been reported on the association between mode of delivery and patient satisfaction. This study investigates which mode of delivery leads to greater satisfaction with hospital admission for childbirth. A cohort study was conducted with data from the Birth in Brazil study, which began in 2011. A total of 23,046 postpartum women were included from a random sample of hospitals, selected by conglomerates with a three level stratification. At the first follow-up, 15,582 women were re-interviewed. Mode of delivery, dichotomized into vaginal or cesarean section, and confounders were collected before hospital discharge. The outcome maternal satisfaction, investigated as a 10-item unidimensional construct, was measured by the Hospital Birth Satisfaction Scale up to six months after discharge. We used a directed acyclic graph to define minimal adjustment variables for confounding. The effect of mode of delivery on satisfaction was estimated using a structural equation model with weighting by the inverse of the probability of selection, considering the complex sampling design. The weight was estimated considering the different sample selection probabilities, the losses to follow-up, and the propensity score, which was estimated in a logistic regression model. The analysis revealed no significant difference in satisfaction with hospitalization for childbirth between respondents who had vaginal delivery and cesarean section in the adjusted analysis (standardized coefficient = 0.089; p-value = 0.056). Therefore, women who had vaginal delivery and cesarean section were equally satisfied with their hospitalization for childbirth.

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