Groningen, Netherlands

Data-Driven Prevention Policy in Public Health

when 9 August 2021 - 21 August 2021
language English
duration 2 weeks
credits 2.5 EC
fee EUR 350

Due to the covid-19 outbreak, all programmes for 2020 have been cancelled.

Ready for the public health challenges of the future? Do you want to learn the value of observational data for public health policy during hands on research sessions? Interested to learn this from public health experts from three different countries? Then do not hesitate and apply for this unique interdisciplinary two-week summer school in public health in which we cross the national borders!

Health systems around the world are each finding their own way to deal with the public health challenges of the future, which include ageing, and tackling obesity, alcohol- and drug abuse, sedentary lifestyle and health illiteracy. Implementing prevention- and treatment programmes targeting these public health threats – whilst taking into account the sustainability and affordability of the healthcare systems – is arguably the largest public health challenge for society in present times! Remarkably, the systems for prevention, health and chronic care that have been implemented show wide variation in actual services provided as well as cost incurred. These differences might partly explain the differences in burden of disease observed as well as variation in longevity across regions. What is driving the health inequalities across the different demographic levels? How can we evaluate policies targeted at reducing these inequalities?

In this summer school researchers in public health from all over the world will become familiar with the steps of the Data-Driven Prevention Cycle (D2PC). We start in the field to discuss the case studies of the partners involved in the summer school. From there we go through all steps of policy evaluation using observational data. Novel techniques in applied econometrics will be used to not only deliver descriptive results, but also to construct empirical models through which health inference may be attained. As such, we can formulate the important policy indicators for reducing inequalities across the different demographic levels in society.

In addition to defining the policy aim of the case study, selecting the crucial policy indicators and estimating the corresponding parameters in the observational data, we offer the unique possibility for participants to also understand and tackle the last step of the D2PC; bringing the results back to the field! Experts in economic evaluation will guide the participants in this translation phase to the partners.

The summer school is taught by experts from the Aletta Jacobs School in Public Health based in Groningen and the department of Public Health & Center for Healthy Aging of the University of Copenhagen, and combines lectures with active learning modules that bring the learned theory into practice. To this end, we encourage students to present their own work during peer-to-peer review sessions and we provide hands-on research sessions. To understand the differences between three Northern European health systems, a day excursion to the Carl von Ossietzky University of Oldenburg, Germany is included!

Course leader

Prof. dr. Erik Buskens
Roel Freriks, MSc

Target group

Graduate students, postgraduate students (PhDs, post-docs) and researchers in the public health domain; all disciplines are welcome!

It is expected that the participants have a sufficient command of the English language to actively participate in the discussions and to present their own work in English . Furthermore, it is expected that students have basic knowledge on how to work with the statistical package STATA.

Course aim

After this course you will be able to:

- Define policy indicators corresponding to a real-life case study.
- Set-up empirical models to evaluate policies using observational data.
- Use a statistical package (STATA) to obtain descriptive and empirical results.
- Understand the added value of cross-border public health policy.
- Translate research findings into products for the client.
- Adapt products according to end-user perspectives

Credits info

2.5 EC
The workload is estimated at 74 hours.

Upon successful completion of the programme, the Summer School offers a Certificate of Attendance that mentions the workload of 74 hours (28 hours corresponds to 1 ECTS). Students can apply for recognition of these credits to the relevant authorities in their home institutions, therefore the final decision on awarding credits is at the discretion of their home institutions. We will be happy to provide any necessary information that might be requested in addition to the certificate of attendance.

Fee info

EUR 350: The fee (€ 350) includes school materials, coffee/tea breaks, welcoming drinks, city tour, Sunday evening dinner, closing reception/dinner, and a day excursion to Oldenburg! This excludes housing.
EUR 700: The fee (€ 350) includes school materials, coffee/tea breaks, welcoming drinks, city tour, Sunday evening dinner, closing reception/dinner, and a day excursion to Oldenburg! This includes housing.