ABSTRACT
Objective: We aimed to evaluate the determinants of non-institutional delivery among women of childbearing age in Peru. Methods: We conducted a secondary analysis of data from the Peru 2019 Demographic and Family Health Survey (ENDES). This multi-stage survey sampling is representative at the urban-rural, regional, and national levels. The outcome variable was place of delivery, collected by self-reporting. Binary logistic regression models were used to assess the factors associated with non-institutionalized delivery. Thus, we estimated crude and adjusted odd ratios (aOR). For the multivariable model, the manual forward selection method and the Wald test were used to obtain a final parsimonious model. Results: The final sample included 14,061 women of reproductive age between the ages of 15 and 49. The prevalence of non-institutional delivery was 7.8 %. Multivariate regression analysis found that having a secondary education (aOR:0.48; 95 % confidence interval [CI]:0.39-0.58) or higher (aOR:0.57; 95 %CI:0.42-0.78); belonging to the second (aOR:0.26; 95 %CI:0.20-0.33), third (aOR:0.28; 95 %CI:0.21-0.38), fourth (aOR:0.21; 95 %CI:0.13-0.33), or fifth wealth quintile (aOR:0.15; 95 %CI:0.09-0.27); and suffering intimate partner violence (aOR:0.76; 95 %CI:0.64-0.91) were associated with lower odds of non-institutional delivery, while not having some type of health insurance (aOR:3.12; 95 %CI:2.47-3.95), living in a rural area (aOR:1.93; 95 %CI:1.54-2.42), and having had three or more deliveries (aOR:1.36; 95 %CI:1.07-1.72), were associated with higher odds of non-institutional delivery. Conclusions: We found that not having health insurance, residing in a rural area, and having had three or more deliveries were factors associated with non-institutional delivery in women of childbearing age. We propose that should focus public health strategies towards providing education to women about maternal health, and likewise, facilitating access to specialized health centers for rural populations.
ABSTRACT
Background: In March 2020, the Peruvian state introduced quarantine as a measure to control the spread of SARS-CoV-2. It has been suggested that being in quarantine is associated with the development of symptoms of Post-traumatic Stress Disorder (PTSD). The present study aims to explore the factors associated with the development of PTSD in a post-quarantine context due to COVID-19 in medical students. Objectives: To evaluate the factors associated with the development of post-quarantine PTSD symptoms in medical students from a Peruvian university. Methods: Analytical cross-sectional study. The objective will be developed after the lifting of the quarantine in Peru. Medical students enrolled during the 2020-01 academic cycle of the Peruvian University of Applied Sciences will be included. To collect the outcome variable (PTSD), the Impact of Event Scale - Revised (IES-R) will be used. The associated factors will be collected through a form that will be validated by experts and piloted in the field. The crude and adjusted coefficients will be calculated, using bivariate and multivariate linear regression models, respectively. We will use the "manual forward selection" technique to obtain a final model with minimally sufficient fit. After each model comparison and decision, multicollinearity will be evaluated with the variance inflation factor and matrix of independent variables. Results: Not having health insurance, having relatives or close friends who contracted the disease and having a lower family income are factors associated with PTSD in the post-quarantine context of the COVID-19 pandemic in medical students at a Peruvian university. Conclusions: Clinical evaluation is important for medical students with a high probability of having PTSD symptoms. We recommend conducting a longitudinal study to identify causality and other unstudied factors related to PTSD.
