The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
Resch, T, Medical University of Vienna, University of Vienna
Study number / PID
856794 (UKDA)
10.5255/UKDA-SN-856794 (DOI)
Data access
Restricted
Series
Not available
Abstract
Contemporary public health and healthcare are navigating a complex landscape marked by limited resources, conflicting individual and collective preferences, and the challenge of improving efficiency while maintaining quality. This scenario raises a multitude of ethical and moral questions, necessitating state intervention through stewardship and governance. Governments worldwide strive to enhance utility, value for money, and health equity, guided by principles of distributive and procedural justice.
The moral underpinnings of public health activities, such as overall benefit, collective efficiency, distributive fairness, and harm prevention, are crucial in addressing global health resource challenges. These considerations encompass efficiency, equity, rights, and other ethical issues. The distribution of resources, whether based on noncorrelative or correlative principles, is a key aspect of justice in public health.
Public health efforts are also focused on mitigating the adverse effects of socio-economic determinants on health outcomes and addressing health disparities. This is particularly vital for vulnerable, high-risk, and marginalized groups who face unique challenges like historic injustices, discrimination, and specific social or physical needs.
The project at hand delves into the concepts outlined by Peragine, focusing on measuring individual opportunity sets, assessing inequality in opportunity distribution, and designing mechanisms to enhance 'opportunity equality'. A representative survey of Vienna's population (N=1411) explores various dimensions:
Socio-demography: This module gathers data on gender, age, education, and migration background.
Health: It assesses individual health status, chronic conditions, multimorbidity, and health-related behaviors.
Socio-economic status: This includes occupation, net income, asset wealth, and other indicators of social or economic capital.
Access to healthcare: Respondents provide insights into their...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
11/09/2023 - 25/09/2023
Country
Austria
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Self-administered questionnaire: Web-based (CAWI) questionnaire. Stratified probability sampling.Cross-section.
Funding information
Grant number
Unknown
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service.