ABSTRACT
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic may have exacerbated existing socioeconomic inequalities in health. In Argentina, public hospitals serve the poorest uninsured segment of the population, while private hospitals serve patients with health insurance. This study aimed to assess whether socioeconomic inequalities in low birth weight (LBW) risk changed during the first wave of the COVID-19 pandemic. METHODS: This multicenter cross-sectional study included 15929 infants. A difference-in-difference (DID) analysis of socioeconomic inequalities between public and private hospitals in LBW risk in a pandemic cohort (March 20 to July 19, 2020) was compared with a prepandemic cohort (March 20 to July 19, 2019) by using medical records obtained from ten hospitals. Infants were categorized by weight as LBW < 2500 g, very low birth weight (VLBW) < 1500 g and extremely low birth weight (ELBW) < 1000 g. Log binomial regression was performed to estimate risk differences with an interaction term representing the DID estimator. Covariate-adjusted models included potential perinatal confounders. FINDINGS: Of the 8437 infants in the prepandemic cohort, 4887 (57â¢9%) were born in public hospitals. The pandemic cohort comprised 7492 infants, 4402 (58â¢7%) of whom were born in public hospitals. The DID estimators indicated no differences between public versus private hospitals for LBW risk (-1â¢8% [95% CI -3â¢6, 0â¢0]) and for ELBW risk (-0â¢1% [95% CI -0â¢6, 0â¢3]). Significant differences were found between public versus private hospitals in the DID estimators (-1â¢2% [95% CI, -2â¢1, -0â¢3]) for VLBW risk. The results were comparable in covariate-adjusted models. INTERPRETATION: In this study, we found evidence of decreased disparities between public and private hospitals in VLBW risk. Our findings suggest that measures that prioritize social spending to protect the most vulnerable pregnant women during the pandemic contributed to better birth outcomes. FUNDING: No funding was secured for this study.
ABSTRACT
Resumen El objetivo principal de este artículo es proponer el diseño de un micro viscosímetro de bajo coste utilizando un resonador de cristal de cuarzo (QCR) y una tarjeta Arduino DUE. En el artículo se explican los pasos del diseño del sensor y también su evaluación con dos líquidos de diferentes características: diluciones de glicerol en agua (comportamiento Newtoniano) y diluciones de albúmina de huevo extraída de huevos frescos en agua (comportamiento No-Newtoniano). Este estudio está relacionado con el interés de desarrollar nuevas herramientas para el diagnóstico de enfermedades cardiovasculares y artríticas.
Abstract This article outlines a design for a low-cost micro-viscometer, using a quartz crystal resonator (QCR) and an Arduino DUE programmable microcontroller board. The article explains the steps involved in designing the sensor and also how it was evaluated regarding two liquids having different characteristics: dilute aqueous glycerol (Newtonian behaviour) and dilutions of egg-white extracted from fresh eggs in water (non-Newtonian behaviour). This study was related to interest in developing new tools for diagnosing cardiovascular and arthritic diseases.
Resumo O principal objetivo deste trabalho é propor o projeto de um micro viscosímetro de baixo custo usando um ressonador de cristal de quartzo (QCR) e um cartão Arduino DUE. O artigo explica as etapas do desenho do sensor e também sua avaliação com dois líquidos de diferentes características: diluições de glicerol em água (comportamento newtoniano) e diluições de albumina de ovo extraídas de ovos frescos em água (comportamento não newtoniano). Este estudo está relacionado ao interesse de desenvolver novas ferramentas para o diagnóstico de doenças cardiovasculares e artríticas.
