Skip to main content
Skip to main content

Digital Public Health

Department of Social Sciences

The Chair of Digital Public Health is concerned with the development, testing and application of digital information and communication technologies in health promotion, prevention and nursing and medical care - with a particular focus on user orientation and evidence-based practice.

Digital Public Health sees itself as science and practice with the aim of using digital technologies to extend healthy lifespans, prevent or alleviate illness and promote physical, mental and social well-being. The focus is on health equity, efficient use of resources and consideration of social environments. The digital transformation is integrated as a field of action in the sense of Health in All Policies, the consequences of technology are reflected upon from a social, ethical and health policy perspective and the corresponding framework conditions are actively shaped.

Homepagebild der Professur Digital Public Health

News from the professorship

eine-person-die-ein-handy-in-der-hand-halt

Prof. Dr. Dockweiler as an expert for the ARD production "Quarks Daily"

Einblicke in eine app-gestützte Gesundheitsrallye von Studierenden
Study
+ 1 more

Teaching research project: Playful prevention of substance abuse and emotional exhaustion

As part of a teaching research project in the Master's program, students at the University of Siegen developed two digital health rallies to playfully strengthen students' health literacy. In the winter semester 2025/26, participants interactively explored the topics of emotional exhaustion in everyday student life and the prevention of substance abuse.

The rallies took them around the campus and into the city center of Siegen, combined narrative elements with cooperative tasks and conveyed low-threshold, real-life prevention knowledge. The positive evaluation shows: Digital, playful formats can effectively sensitize students to health-related topics and strengthen their navigational skills.

Research profile

Digital Public Health deals with the potential, prerequisites and consequences of digitalization for public health. The focus is on digital technologies and data-based infrastructures that are used in prevention, health promotion, nursing and medical care. Digital applications - such as mobile health applications, AI-supported systems or platform-based care models - are not considered in isolation, but are analysed in their social, organizational, legal and ethical contexts. Digital Public Health thus understands digitalization as a structural transformation process of the healthcare system, which must be evidence-based, fair and sustainable.

The Chair of Digital Public Health at the University of Siegen examines the development, evaluation and implementation of digital interventions and technologies along the entire innovation cycle - from theory-based conception to empirical testing and sustainable integration into care structures. A particular focus is on user orientation, participation and diversity. Digital innovations are consistently viewed from the perspective of different target groups, particularly with regard to vulnerability, health inequality and issues of digital health literacy.

A central research focus is on care and implementation research. Acceptance, adoption, adherence and long-term use of digital applications are examined here, as are organizational requirements and governance structures. Theoretical models of technology acceptance, concepts from implementation research and approaches from health literacy and inequality research are systematically integrated and further developed. The aim is to create a robust theoretical and empirical basis for an effective digital transformation of the healthcare system.

Legal and ethical issues - for example in the context of data protection, AI regulation, interoperability or attribution of responsibility in digitally supported decision-making processes - are an integral part of the research. Methodologically, the professorship works with quantitative, qualitative and mixed-methods designs and develops evaluation approaches for complex digital interventions. The research is nationally and internationally networked, externally funded and closely linked to stakeholders from science, politics and healthcare practice.

The aim is to provide evidence-based decision-making principles for policy and practice and to shape the digital transformation in the healthcare system in a scientifically sound, participatory and responsible manner.

 

Research focus

  • Effects of the use of information and communication technologies in health promotion, prevention, medical, nursing and rehabilitative care
  • Adoption and acceptance research in the context of the appropriation and use of health-related (care) technologies in living environments
  • User orientation in healthcare research with a focus on digitally supported care settings
  • Implementation research in the field of innovative digital health technologies
  • Participatory health services research

 

Latest publications

Journal article
2026

Fit für die digitale Reha-Nachsorge: Anforderungen an die Gestaltung von Schulungen aus multiperspektivischen World Cafés

Journal article
2026

Adopting assistive technologies for the support and care of people with mild dementia living at home—Understanding the decision-making process: a qualitative study

Report
2025

Modellierung Digitaler Teilhabe von Menschen mit einer geistigen Beeinträchtigung. Perspektiven auf die Eingliederungshilfe

Journal article
2025

Implementation Factors of Digital Health Interventions in Depression Care—The Perspective of Health Professionals

Current projects

-

Health literacy and self-management in long-term cancer survivors - participatory development and evaluation of a digital, diversity-sensitive offer to promote competence (HeLiS)

Background: More and more cancer survivors are living with long-term health and psychosocial challenges. After cancer, health restrictions, secondary diseases and psychosocial consequences of the disease or therapy can persist. Despite surviving, the need for support and guidance increases. Current digital services usually focus on coping with individual aspects of the disease or specific areas of life, while the direct promotion of health literacy and self-management of long-term survivors is often neglected. In particular, the diversity sensitivity of these services often leaves much to be desired, as the needs and expectations associated with individual diversity characteristics are insufficiently taken into account. In addition, barriers to use such as language problems can make access to support services more difficult.

Approach and objectives: The HeLiS joint project aims to develop a diversity-sensitive digital service to strengthen the health literacy and self-management of long-term survivors. A participatory approach involves long-term survivors, relatives and patient representatives as co-researchers in the design of the service. An advisory board consisting of patient representatives and experts supports the project. A multi-stage mixed methods approach is being pursued: Starting with training for the co-researchers, followed by an analysis of existing services, which are then discussed in focus groups. Based on the results, a prototype of the digital offer will be developed and piloted. A randomized, controlled intervention study with subsequent qualitative process evaluation will examine the effectiveness and acceptance of the service. The sub-project of the Chair of Digital Public Health is particularly involved in the conceptual development and participatory piloting of the user-oriented prototype and thus diversity-oriented digital service.

Duration: January 2025 to December 2027

Sponsor: German Cancer Aid

Cooperation partners: Witten/Herdecke University, University Medicine Greifswald

-

Hyper-individualized health communication and behavioral motivation in addiction prevention through generative artificial intelligence (IndiSuKI)

Background: The healthcare sector is in a phase of digital upheaval. The field of addiction prevention is no exception. Digitalization is fundamentally changing familiar processes. New services and applications are constantly appearing that show the opportunities and possibilities that artificial intelligence (AI) tools already offer for the healthcare sector. For example, there are AI-supported apps that provide individual support for patients with cancer or apps that promote healthy everyday behavior. Such solutions do not yet exist in the field of addiction prevention. The question therefore increasingly arises as to whether AI can also be used sensibly here and whether the target groups for prevention messages can therefore be better reached. The opportunities, benefits and risks of using AI in the field of addiction prevention are still largely unexplored.

Approach and objectives: The joint project IndiSuKI aims to develop, test and evaluate a mobile app in which cannabis prevention content and media are customized with the help of AI. The target group of this app includes young adults aged 18 to 25 with different cannabis consumption patterns. The AI to be developed learns from the user's input and can therefore communicate highly individualized prevention messages better and better. In this way, it acts as a "companion" in everyday life, motivating people to change their behavior. People from the actual target group are involved in the development of the app following training in order to increase acceptance of the app for the overall target group. The knowledge gained and the application of the prototype will contribute in the long term to the further development of essential processes in addiction prevention with the help of AI, making them usable and available nationwide. The free accessibility of the solution is particularly important: interested parties from the field of addiction prevention can further develop the solution in the long term and thus contribute to its widespread dissemination in order to communicate prevention messages in addiction prevention with the help of AI.

Duration: January 2026 to December 2027

Sponsor: Federal Ministry of Health

Cooperation partners: nuvio gGmbH, Railslove GmbH

Collaborators: Dr. Tessa Schulenkorf, Theresa Nink

The team

Foto Prof. Dr. Christoph Dockweiler

Univ.-Prof. Dr. Christoph Dockweiler

Professor*in
Joanna Albrecht

Dr. Joanna Albrecht

Wissenschaftliche*r Mitarbeiter*in
Tessa Schulenkorf

Dr. Tessa Schulenkorf

Projektmitarbeiter*in
Foto von Lea Stark-Blomeier

Lea Stark-Blomeier

Wissenschaftliche*r Mitarbeiter*in
Profilbild

Pinar Tokgöz

Wissenschaftliche*r Mitarbeiter*in
Charly

Carlotta Westfeld

Project employee