Public Health, Versorgungsforschung und HTA

Research

Key Research Areas

  • Applied research in Public Health, Prevention, and Evidence-based Health Services Research with a focus on: 
    - Cardiovascular Disease
    - Cancer
    - Infectious Diseases
    - Gastrointestinal Diseases
    - Neurological and Psychiatric Disorders
    - Other Diseases
  • Systematic integration of modern epidemiological and decision-analytic methods in the investigation of public-health related questions and development of evidence-based clinical guidelines
  • Planning, implementation and evaluation of epidemiologic studies, clinical trials, outcome studies, meta-analyses, risk-benefit assessments, economic evaluations, and ethical and legal assessments
  • Planning and conducting studies in the areas of health services & outcomes research (assessment of need and access, organization, quality and health outcomes, HTA, economic evaluation, health care epidemiology, health policy and management), in particular with large databases
  • Assessment of health promotion, prevention and public health interventions
  • Assessment of ethical and legal implications on a national, European and international level
  • Linking environmental effects with health outcomes
  • Development and evaluation of patient-tailored healthcare strategies (personalized medicine)
  • Oncotyrol - Center for Personalized Cancer Medicine
  • Translating research results into public health guidance and implementing science into practice to improve the health of individuals and populations

Methodological Areas

  • Public Health
  • Health Promotion and Prevention
  • Health Services and Outcomes Research
  • Evaluation of Claims Data
  • Assessment of Needs and Access
  • Benefit-Harm Assessment
  • Medical Decision Making and Clinical Guideline Development
  • Biostatistics and Epidemiology
  • Evidence-Based Medicine
  • Systematic Reviews / Meta-Analysis / Indirect Treatment Comparison
  • Decision-Analytic Modeling
  • Comparative Effectiveness Research
  • Quality-of-Life Research
  • Health Technology Assessment
  • Cost-Effectiveness Analysis
  • Environmental Health / Climate Change
  • Causal Inference
  • Pharmacogenetics
  • Personalized Medicine and Precision Medicine
  • Physician-Patient Interaction
  • Ethics in Health and Medicine
  • Health Law
  • Public Policy Recommendation
  • Translational Research and Implementation Science

The Institute comprises the following Research Programs and Units:

  • Program on Causal Inference
    (Coordinators: Kuehne / Siebert)


    In epidemiology and medicine, conclusions about the causal link between an exposure/intervention of interest and an outcome are drawn. Observational studies as well as randomized clinical trials with noncompliance, treatment switching or multiple line treatments must be adjusted to avoid confounding or other biases. The goal of this program is to develop international collaborations and task forces focusing on research and education of causality. A special focus is on the adjustment for time-varying confounding and causal methods such as the g-formula, marginal structural models (MSM) using inverse probability weighting (IPW), and structural nested models (SNM) using g-estimation.

  • Program on Environmental Health and Prevention
    (Coordinator: Boese O'Reilly)


    Many diseases and disorders are related to environmental factors. This program contributes to the awareness and research of global environmental health problems. A special focus is on children’s environment and health. Among others, research areas comprise mercury as a health hazard in gold mining areas, the adaptation to climate change in health care settings, and primary prevention programs.

  • Program on Health Policy, Administration, Economics and Law
    (Coordinator: Flatscher-Thöni)


    Health care policies, regulations and structural determinants of health systems influence stakeholders’ behavior as well as the overall system performance. This program generates new knowledge, evidence and insights to enhance health and legal policy and practice, and improve health (system) outcomes, based on fundamental and applied research. We engage in interdisciplinary research with colleagues in the fields of ethics, philosophy, law, medicine, nursing, public health, psychology, economics, political science and sociology.

  • Program on Health Services & Outcomes Research
    (Coordinator: Gothe H.)


    Evidence-based health care and outcomes research requires a wealth of health services data which, ideally, should reflect the real world setting. An accessible source of such data is held by the health care and social security system itself. Despite the growing acceptance and use of such data, a series of methodological challenges remain to be addressed. The goal of our program is to overcome these challenges by applying cutting-edge data processing and analyzing solutions in order to establish methodological standards and to gain practice-oriented insights from high-end research endeavors.

  • Program on Health Technology Assessment
    (Coordinator: Schnell-Inderst)


    Each day, innovative health technologies, services and community-based interventions become available. Health care decision makers must assess these technologies and decide which of these technologies should be adopted and reimbursed. Our program on health technology assessment (HTA) aims to develop and apply evaluation methods for systematically assessing benefits, harms and costs of health technologies with regard to their clinical, economic, ethical, legal and social aspects in national and international collaboration with academia and HTA organizations.

  • Program on Infectious Diseases
    (Coordinator: Muehlberger)


    Microorganisms account for about 20% of the global burden of disease, and their ability for resistance development and adaptation to new populations cause a permanent threat. Specific characteristics of infectious diseases, like transmissibility, herd immunity and resistance development, have to be methodologically accounted for in evaluations of interventions or predictions of future burden of disease and epidemics.

  • Program on Personalized and Precision Medicine
    (Coordinator: Rochau)


    Personalized medicine takes into account physiological and biological information, as well as biomarkers, genetics, proteomics and metabolomics to stratify patients and tailor interventions according to that information. A large amount of data becomes available through modern analysis of genetics, proteomics and metabolomics. Methods as well as research and interpretation frameworks are needed to identify relevant information and evaluate the added value of the new markers. Decision-analytic Modeling and Health Technology Assessment are powerful tools to evaluate personalized screening, diagnosis, prevention and treatment approaches.
    Within the Oncotyrol – Center for Personalized Cancer Medicine, we develop, disseminate and implement best practice recommendations on how to integrate personalized interventions into the framework of health technology assessment. In addition, we develop disease-specific personalized decision-analytic models to evaluate individualized screening and treatment decisions. We also perform methodological research on the design of personalized medicine trials, complex value-of-information analyses, and causal inference.

  • Program on Cardiovascular Diseases
    (Coordinator: Siebert)


    Cardiovascular disease (CVD) includes coronary artery disease (CAD), stroke, hypertension, congestive heart failure, and many other diseases that involve the heart or blood vessels. This program aims at establishing a comprehensive and interdisciplinary framework for the evaluation of the consequences of preventive, diagnostic, and therapeutic strategies for CVD patients and society. A particular focus is on systematically optimizing invasive (e.g., fractional flow reserve measurement) and nononvasive (e.g., imaging) diagnostic procedures in CVD.

  • Research Division for Decision Analysis
    (Coordinator: Sroczynski)


    Decision analysis is a systematic approach to decision making under uncertainty. It involves choosing an action after weighing the risks, benefits, and costs of the options available to an individual or the population. This program aims to support researchers in planning, conducting and assessing decision-analytic studies, educate in decision-analytic methods, provide a platform for discussing methodological aspects, and improve the quality of decision-analytic research.

  • Center for Statistical Consulting and Continuing Education
    (Coordinator: Matteucci Gothe R.)


    The Center offers consulting on methodological, formal, and practical topics such as form design, choice of statistical methods, data coding and data entry, interpretation of results, use of statistical software (SPSS, SAS, STATA, etc.) as well as courses in statistics, epidemiology, statistical tests, regression analysis (linear, logistic, Poisson, etc.), survival analysis, meta-analysis/meta-regression, factor analysis and cluster analysis. The center also takes on contract research, for example in developing study protocols, performing data coding, data entry, statistical-epidemiological analysis, and report writing.

  • HTADS - Continuing Education Program on Health Technology Assessment and Decision Science
    (Coordinators: Siebert / Steigenberger)

    Health Technology Assessment (HTA) has been defined by the International Network of Agencies for HTA (INAHTA) as “a multidisciplinary field of policy analysis studying the medical, economic, social, and ethical implications of development, diffusion and use of health technologies (e. g., drugs, devices, surgical procedures, prevention techniques)”. In conducting HTA, the discipline of decision science has become increasingly relevant. Decision Science (DS) is the application of explicit and quantitative methods to analyze decisions under conditions of uncertainty (e.g., meta-analysis, decision-analytic modeling, cost-effectiveness analysis). In recent years, HTA and DS have become very important to health care policymakers. In order to keep pace with these developments, the UMIT – HTADS Program was designed to provide excellent quality education and comprehensive training in the key issues of HTA and DS for anyone involved in the health sector. The course faculty is drawn from leading international experts from universities, industry, HTA agencies and representatives from other relevant areas who are committed to provide independent teaching of state-of-the-art principles.

  • Research Seminars
    The Department of Public Health and HTA hosts a Research Seminar Series in Public Health & Evidence-Based Healthcare for scientists from UMIT and other research institutions.