Determinants of women´s health in Europe: using large open data collections to unveil the hidden part of the iceberg

Open data collections can be powerful, providing democratic tools to illustrate women’s health across Europe. This article discusses the benefits offered by the large volume of open-access data in comparison with access-restrictive big data, and provides an overview of the main databases publically available which gather sex-disaggregated data information, as well as of their strengths and limitations (The World Health Organization European Health for All database, EUROSTAT, Institute for Health Metrics and Evaluation – Global Burden of Disease data and OECD data). Examples are provided to illustrate the outcomes that can be obtained from the different databases, with special emphasis on the socioeconomic determinants of women’s health (education, income and wealth, employment and place of residence) in the European Region. Open online data collections accessible to all can be used as tools to argue in favour of not only the implementation of health-care policies, but also social and economic policies aimed at improving women’s health in Europe. However, open-access online data collections have certain drawbacks worth considering such as the need for continuous monitoring and updating, ensuring the reliability of data provided by all countries, and guaranteeing that individuals cannot be identified through links between clinical and socioeconomic data

Redesigning the course “Research Methods in Social and Clinical Pharmacy”

The implementation of this assignment is part of the supervision sessions and the development of my teaching portfolio. This assignment is an attempt to redesign the course “Research methods in social and clinical pharmacy” with the intention of making it more aligned and therefore more effective regarding the development on skills and competencies of the students

Ethnic differences in asthma treatment among Swedish adolescents:A multilevel analysis of individual heterogeneity

Adolescents with immigrant or ethnic minority background suffering from asthma receive on average less appropriate anti-asthmatic medication (AAM) than the majority population. However, those findings are based on analyses of differences between group averages which prevents our understanding of individual heterogeneity around the averages. Taking into account individual socioeconomic factors and medical needs, we performed multilevel analysis in order to evaluate if maternal country of birth (MCOB) accurately identifies adolescents with inappropriate AAM use