Search

Background: Socioeconomic inequalities in the population influence access to health services and constitute a challenge for health systems, especially in low- and middle-income countries. In Peru, an increase in the use of medical services has been estimated; however, the study of inequalities in the use of medical services is limited. Therefore, the objective of this research was to analyze and decompose socioeconomic inequalities in the use of medical consultation services in Peru. Methods: A cross-sectional analytical study was conducted using data from the National Household Survey 2019. The outcome variable was the use of a consultation attended by a physician in the last 4 weeks in persons who presented symptom or discomfort, illness, relapse of chronic disease and/or accident. Concentration curves and Erreygers concentration indices were used to determine socioeconomic inequalities, and a generalized linear regression model was used for the decomposition analysis of inequalities. Results: A total of 52,715 persons were included in the study. The frequency of medical consultation was 25.4% (95% confidence interval: 24.8 − 26.1%). In the inequality analysis, it was found that the use of medical consultations was concentrated among the wealthiest individuals. The main contributing factors were having another type of health insurance (social health insurance [EsSalud], private health insurance, health provider, the Armed Forces, and the Police), residing in an urban area, belonging to the richest wealth quintile, having a chronic disease, and residing in the highlands of Peru. Conclusions: Based on our findings, government institutions seeking to achieve equitable access to health services should consider the main factors contributing to this inequality in the formulation of strategies to lessen the negative impact of inadequate disease control in the population. [ABSTRACT FROM AUTHOR]

Background: Peru is one of the countries with the lowest percentage of population with access to safe drinking water in the Latin American region. This study aimed to describe and estimate, according to city size, socioeconomic inequalities in access to safe drinking water in Peruvian households from 2008 to 2018. Methods: Secondary analysis of cross-sectional data using data from the 2008–2018 ENAHO survey. Access to safe drinking water, determined based on the presence of chlorinated water supplied by the public network, as well as socioeconomic variables were analyzed. A trend analysis from 2008 to 2018, and comparisons between 2008 versus 2018 were performed to understand and describe changes in access to safe drinking water, according to city size. Concentration curves and Erreygers concentration index (ECI) were estimated to measure inequalities in access to safe drinking water. Results: In 2008, 47% of Peruvian households had access to safe drinking water, increasing to 52% by 2018 (p for trend < 0.001). For small cities, access to safe drinking water did not show changes between 2018 and 2008 (difference in proportions − 0.2 percentage points, p = 0.741); however, there was an increase in access to safe drinking water in medium (difference in proportions 3.3 percentage points, p < 0.001) and large cities (difference in proportions 12.8 percentage points, p < 0.001). The poorest households showed a decreasing trend in access to safe drinking water, while the wealthiest households showed an increasing trend. In small cities, socioeconomic inequalities showed an increase between 2008 and 2018 (ECI 0.045 and 0.140, p < 0.001), while in larger cities, socioeconomic inequality reduced in the same period (ECI: 0.087 and 0.018, p = 0.036). Conclusions: We report a widening gap in the access to safe drinking water between the wealthiest and the poorest households over the study period. Progress in access to safe drinking water has not been equally distributed throughout the Peruvian population. Promoting and supporting effective implementation of policies and strategies to safe drinking water, including equity-oriented infrastructure development and resource allocation for most vulnerable settings, including emerging small cities, is a priority. [ABSTRACT FROM AUTHOR]

Globally, the question of how to improve the living standards of the inhabitants of informal settlements is a key political concern. These neighborhoods are characterized by economic vulnerability, social marginalization, and inaccessibility of basic services. The aim of this study is to provide evidence about the environmental risk factors faced by these populations in Argentina, and to identify whether their greater exposure to risk factors is associated with greater accessibility of healthcare services. We analyzed an original database that provides information about basic characteristics of the neighborhood, environmental risk factors (proximity to garbage dumps, industrial waste, and high-voltage towers), and accessibility of basic healthcare services on over 2000 informal settlements in Argentina. We calculated descriptive statistics and developed multivariate econometric models to estimate the probability of accessibility of healthcare services. On average, 31% of informal settlements were close to a garbage dump, 19% were close to a high-voltage tower, and 10% were close to industrial waste. In addition, 39% of these neighborhoods do not have a healthcare center nearby, 65% do not have an accessible hospital, and 39% are not consistently served by ambulances in the event of an emergency. The econometric estimates suggest that the accessibility of hospital healthcare service and to an ambulance service is positively associated with the age of the neighborhood, and whether the neighborhood is a slum, but there is no evidence of association with the exposure to environmental risk factors. In short, the populations living in informal settlements in Argentina are exposed to harmful environmental risk factors. Access to basic healthcare services is limited and does not reflect the elevated exposure to environmental risks. Health, environmental, and economic dimensions should be considered when designing and implementing public policies for vulnerable populations. • People in informal settlements are often exposed to environmental risk factors. • Yet, in these neighborhoods, access to basic healthcare services is limited. • More services are needed to respond to disproportionate exposure and advance equity. [ABSTRACT FROM AUTHOR]