Inequalities in digital welfare take-up: lessons from e-government in Spain

Robles, José Manuel; Albero, Cristóbal Torres; Villarino, Guillermo

doi:10.1080/01442872.2021.1929916

Cited by 12 publications

(11 citation statements)

References 25 publications

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“…The present study coincides with the conclusions of prior research, discussed above, related to inequality and the use of ICT (5,(17)(18)(19)54). Likewise, we also agree with (53) on the importance of education and inequality in internet use, and with (10) approach to internet use.…”

Section: Discussionsupporting

confidence: 93%

“…Furthermore, the importance of the educational structure in explaining proper use of the internet should be emphasized ( 53 ). According to ( 54 ), studies carried out in Spain on the determinants of the use of e-Government found that digital skills and confidence in the internet could have an impact on the use of e-Government. This also suggests that digital skills are affected by citizens' resources, economic and education level, age, and gender.…”

Section: Introductionmentioning

confidence: 99%

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Diabetes mellitus and inequalities in the equipment and use of information technologies as a socioeconomic determinant of health in Spain

Bosch-Frigola

Coca-Villalba²,

Pérez-Lacasta³

et al. 2023

Front. Public Health

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Inequalities in the equipment and use of information and communications technology (ICT) in Spanish households can lead to users being unable to access certain information or to carry out certain procedures. Accessibility to ICT is considered a social determinant of health (SDOH) because it can generate inequalities in access to information and in managing access to health services. In the face of a chronic illness such as diabetes mellitus (DM)—for which a comprehensive approach is complex and its complications have a direct impact on current healthcare systems—all the resources that patients may have are welcome. We aimed to analyze hospitalizations and amputations as direct consequences of DM among the autonomous communities of Spain (ACS) in 2019, along with socioeconomic factors related to health, including inequalities in access to ICT between territories, as well as citizens' interest in online information searches about DM. We used different databases such as that of the Ministerio de Sanidad (Spain's health ministry), Ministerio de Asuntos Económicos y transformación (Ministry of Economic Affairs and Digital Transformation), Google Trends (GT), and the Instituto Nacional de Estadística (Spain's national institute of statistics). We examined the data with R software. We employed a geolocation approach and performed multivariate analysis (specifically factor analysis of mixed data [FAMD]) to evaluate the aggregate interest in health information related to DM in different regions of Spain grounded in online search behavior. The use of FAMD allowed us to adjust the techniques of principal component analysis (PCA) and multiple correspondence analysis (MCA) to detect differences between the direct consequences of DM, citizen's interest in this non-communicable disease, and socioeconomic factors and inequalities in access to ICT in aggregate form between the country's different ACS. The results show how SDOH, such as poverty and education level, are related to the ACS with the highest number of homes that cite the cost of connection or equipment as the reason for not having ICT at home. These regions also have a greater number of hospitalizations due to DM. Given that in Spain, there are certain differences in accessibility in terms of the cost to households, in the case of DM, we take this issue into account from the standpoint of an integral approach by health policies.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Diabetes mellitus and inequalities in the equipment and use of information technologies as a socioeconomic determinant of health in Spain

Bosch-Frigola

Coca-Villalba²,

Pérez-Lacasta³

et al. 2023

Front. Public Health

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“…Education. The numerous studies of Spanish society demonstrate its great explanatory power, which is also seen in most previous studies [9,27,33,34].…”

Section: Introductionsupporting

confidence: 61%

“…Although previous studies have identified differences between seniors and the general population [4][5][6]14,15,26,28,33,34], we consider it important to make at least a brief reference to the differences identified using our information source. This is in the form of a summary and allows us to discuss these differences and introduce the main variables we are going to analyze.…”

Section: Differences Between Seniors and The General Populationmentioning

confidence: 99%

The Digitization of Seniors: Analyzing the Multiple Confluence of Social and Spatial Divides

Menéndez

Gutiérrez-Láiz

Criado-Quesada

2022

Land

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The lower digitization among seniors must be understood in the context of the coming together of multiple digital divides. In addition to the obvious generation divide (age is one of the factors most determining digital uses), others also have an influence, such as a lower education or income level, which is characteristic of this group and also strongly correlated with lower use of new technologies. We also find gender differences in the digital uses of seniors (more pronounced than in the population as a whole) and a significant geospatial inequality in several variables. The latter is important due to both the rapid aging of the rural population, greater than that seen in the urban population, and the fact that the geographical areas with a lower income level, where the aging population tends to be concentrated to a greater extent, are also the areas where digitization reaches the least, in terms of both infrastructures and uses. This article addresses the multiconfluence of the aforementioned “digital divides in older people” (or “seniors”), trying to determine the effects and degree of importance of each, identify the main groups at risk of digital exclusion, and to characterize the technological uses of seniors and their main segments. To do this, we have used the microdata from the “Survey on Equipment and Use of Information and Communication Technologies in homes”, produced by the Spanish Statistical Office (INE) for the year 2020.

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“…The digital literacy of members of the school community may be affected by difficulties in accessing information and technological resources (Varela et al, 2020 ), generating inequalities reflected in a double exclusion, both social and digital (Devkota, 2021 ). This prevents citizens from exercising their rights and participating in a society largely governed by technology (Robles et al, 2021 ) and has become an issue of exogenous origin the solution of which requires a structural approach.…”

Section: Introductionmentioning

confidence: 99%

Which is the Digital Competence of Each Member of Educational Community to Use the Computer? Which Predictors Have a Greater Influence?

et al. 2023

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Since the COVID-19 pandemic, the use of digital resources and virtual platforms is even more essential to continue the educational process, either in person or online, affecting all the members involved in the teaching–learning process of the students. Therefore, this study is aimed: (1) to know and compare the digital competence of the agents that are the main integrators of the educational community (parents, teachers, students) about the use of the computers, according to gender and educational stage (Pre-school, Primary and Secondary Education stages); and (2) to identify significant predictors that affect the acquisition of this competence. An ex-post-facto design was used with a sample of 786 participants from Andalusia (Spain). Research methods such as contrasts of means and multiple linear regression analysis were used. The results showed high average levels of basic digital competences for all the agents involved. A gender gap was found between mothers and fathers of students, with higher scores for the latter group. In addition, the use of videogames, the parents' academic background and the use of digital tablets or Google+ are the most significant predictors that affect the acquisition of this competence.

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Inequalities in digital welfare take-up: lessons from e-government in Spain

Cited by 12 publications

References 25 publications

Diabetes mellitus and inequalities in the equipment and use of information technologies as a socioeconomic determinant of health in Spain

Diabetes mellitus and inequalities in the equipment and use of information technologies as a socioeconomic determinant of health in Spain

The Digitization of Seniors: Analyzing the Multiple Confluence of Social and Spatial Divides

Which is the Digital Competence of Each Member of Educational Community to Use the Computer? Which Predictors Have a Greater Influence?

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