ABSTRACT
Introducción: La provincia de Cienfuegos es autosuficiente para satisfacer su demanda transfusional actual. Sin embargo, esta situación podría modificarse por los efectos que sobre la asistencia sanitaria ejerce el envejecimiento poblacional. Objetivos: Identificar la relación entre donaciones y transfusiones de sangre en función de los cambios en la dinámica poblacional. Métodos: Estudio descriptivo transversal desarrollado mediante revisión documental. Se incluyó como variables el número de habitantes agrupados según la edad regulada en Cuba para donar sangre, la cantidad de donaciones y de pacientes transfundidos durante el periodo de estudio. se utilizó el coeficiente de correlación de Spearman ( ρ)para establecer el grado de relación entre ellas. Se calcularon tasas, porcientos y el cambio relativo entre años extremos de las series. Resultados: La composición de los grupos de edades de la población mostró preferencia hacia el envejecimiento con una disminución del 5 por ciento en el número de habitantes de 0 a 19 años junto a un incremento del doble de ese valor en los adultos mayores. Las donaciones decrecen en cerca del 8 por ciento, mientras que el número de pacientes transfundidos aumentan en el 33 por ciento. Se comprueba la existencia de correlaciones directas e inversas, estadísticamente significativas, entre los indicadores estudiados. Conclusiones: Los resultados de la investigación son sugerentes a una relación entre los indicadores de donaciones, transfusiones de sangre y los cambios en la estructura por edad de la población que, de mantenerse la tendencia actual, podrían conducir a periodos de escasez de sangre para transfusiones(AU)
Introduction: The province of Cienfuegos is self-sufficient to satisfy the actual transfusion demand. However, this situation could be modified due to the effects of population aging on health care service. Objective: To identify the relationship between donations and blood transfusions based on changes in population dynamics. Methods: Transversal descriptive study developed through documentary review. The number of inhabitants grouped according to the regulated age in Cuba to donate blood, the number of donations and transfused patients during the study period were included as variables, using the Spearman correlation coefficient ( ρ) to establish the degree of relationship between them. The rates, percent and relative change between the extreme years of the series were calculated. Results: The composition of the age groups of the population was inclined towards aging with a 5 percent decrease in the number of inhabitants from 0 to 19 years, together with an increase of twice that value in the elderly. Donations decrease by about 8 percent, while the number of patients transfused increases by 33 percent. The existence of statistically significant direct and inverse correlations between the indicators studied is verified. Conclusions. The results of the research are suggestive of a relationship between the blood donationand blood transfusion indicators and the changes in the age structure of the population observed which, if the current trend continues, lead to periods of blood shortage for transfusions(AU)
Subject(s)
Humans , Male , Female , Blood Donors , Blood Transfusion/methods , Population Dynamics/statistics & numerical data , Donor Selection/methods , Demography/ethics , Epidemiology, Descriptive , Cross-Sectional StudiesABSTRACT
The digital traces that we leave online are increasingly fruitful sources of data for social scientists, including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography-those who have a history of developing innovative approaches to using challenging data-are well positioned to contribute to this area of work. We discuss the benefits and challenges of using digital trace data for social and demographic research, and we review examples of current demographic literature that creatively use digital trace data to study processes related to fertility, mortality, and migration. Focusing on Facebook data for advertisers-a novel "digital census" that has largely been untapped by demographers-we provide illustrative and empirical examples of how demographic researchers can manage issues such as bias and representation when using digital trace data. We conclude by offering our perspective on the road ahead regarding demography and its role in the data revolution.
