Module GW4790-KP11

Duration

2 Semester

Turnus of offer

each summer semester

Credit points

11

Course of studies, specific fields and terms:

• Master in Health and Healthcare Science 2025, optional subject, Interprofessional Care and Research in Pain

Classes and lectures:

• Advanced study designs (seminar, 1 SWS)
• Imaging and electrophysiological procedures (seminar, 1 SWS)
• Experimental pain models (seminar, 1 SWS)
• Qualitative research and mixed methods (seminar, 1 SWS)
• Advanced methods of knowledge synthesis and modeling (seminar, 2 SWS)

Workload:

• 240 hours private studies and exercises
• 90 hours in-classroom work

Contents of teaching:

• Systematic reviews and meta-analyses of complex interventions as well as non-interventional studies (observational studies, diagnostic accuracy studies)
• Modeling of components, moderators and endpoints (patient-relevant endpoints, combined and dependent endpoints, adverse effects and harms) as well as relevant implementation factors
• In-depth study of data analysis, theory development and presentation of results in qualitative research
• Triangulation in qualitative research
• Specific challenges and approaches to qualitative study designs (e.g., institutional gatekeeping, theoretical sampling)
• Main strategies of mixed-methods studies (sequential and parallel)
• Imaging and electrophysiological methods (e.g. FMRT, NIRS, EMG, EEG, tDCS, TMS etc.)
• Specific challenges and approaches to therapy science quantitative study designs (e.g., blinding of therapists, appropriate control intervention, measurement instruments, appropriate inclusion and exclusion criteria)
• Specific study designs (e.g., single case designs, participatory action research)
• Ethical aspects in research with vulnerable groups of people
• Thermal, chemical and mechanical stimulation in pain research
• Quantitative sensory testing including dynamic tests such as conditioned pain modulation and offset analgesia
• Placebo and nocebo response in pain research

Qualification-goals/Competencies:

• Knowledge and Understanding: Students deepen their knowledge of important aspects and different strategies of knowledge synthesis and research modeling.
• Use, application and generation of knowledge: Students will be able to appropriately apply various methods of knowledge synthesis as well as modeling research projects or studies.
• Knowledge and Understanding: Students will deepen their knowledge of different strategies for qualitative data analysis.
• Use, application and generation of knowledge: The students are able to apply different methods of qualitative data analysis appropriately, acquire competencies in the development of empirically based theories and are able to present results of qualitative analyses in a comprehensible way.
• Knowledge and Understanding: Students know the central main strategies for mixed methods studies and are able to comprehend and critically assess them using study examples.
• Knowledge and understanding: Students know the possibilities and limitations of various imaging and electrophysiological procedures.
• Knowledge and understanding: Students know different ways to experimentally generating pain for research purposes.
• Knowledge and understanding: Students understand which methods are suitable for which research questions and settings and can explain them.
• Knowledge and understanding: Students understand the biological mechanisms of thermal, chemical and mechanical nociceptive stimuli.
• Use, application and generation of knowledge: Students can interpret the pain response to different stimuli and intensities analyse different patterns of pain modulation.
• Use, application and generation of knowledge: Students will be able to evaluate appropriate strategies to scientifically investigate facilitating and inhibiting mechanisms.
• Use, application and generation of knowledge: Students will be able to assess the clinical applicability of test procedures such as 'Conditioned Pain Modulation'.
• Communication and cooperation: Students exchange information with each other in a factual and professional manner and reflect on the necessity of networking with important stakeholders (e.g. scientists, gatekeepers, patient representatives) in order to answer research questions.

Grading through:

• written exam

Responsible for this module:

• Prof. Dr. Kerstin Lüdtke

Teacher:

• Institute of Systems Motor Science
• Institute for Social Medicine and Epidemiology
• Institute of Family Medicine
• Institute of Health Sciences
• Prof. Dr. Kerstin Lüdtke
• Prof. Annette Baumgärtner, PhD
• Prof. Dr. Katharina Röse
• Prof. Dr. med. Alexander Katalinic
• Dr. Hauke Basedau
• Prof. Dr. phil. Dipl.-Soz. Katja Götz
• Mag. rer. nat. Stella Lemke

Literature:

• Flick U. (Hg.) : The SAGE Handbook of Qualitative Data Analysis. London: SAGE, 2014
• Polgar S, Thomas SA : Introduction to Research in Health Sciences Elsevier Health Sciences, 2000
• Przyborski A, Wohlrab-Sahr M : Qualitative Sozialforschung. Ein Arbeitsbuch. 4. Aufl. München: Oldenburg Verlag, 2014.
• Richards D & Rahm Hallberg I. (Hg.) : Complex interventions in health: an overview of research methods. London & New York: Routledge, 2015
• Schäfer A, Schöttker-Königer T : Statistik und quantitative Methoden für Gesundheitsfachberufe. Springer, 2015

Language:

• German and English skills required

Notes:

Last Updated:

20.01.2025