Research domain and projects

Implementation Science in Health Care

Lauren Clack’s research prioritizes rigorous development of implementation science methods in addition to furthering the fields to which implementation science is applied. Her research combines these aspects. While her previous research has primarily applied implementation science to the field of infectious diseases and hospital epidemiology, she has a broad interest in applying implementation science to fields with a demonstrated gap between research findings and current practice. Her specific research priorities include:

  • Tailored implementation: building evidence on effectiveness of specific implementation strategies in specific contexts.
  • De-implementation of low-value practices: building evidence about effectiveness of de-implementation strategies.
  • User-centered, participatory design: validating user-centered design methods and establishing measures that constitute valid process indicators and outcomes of user-centered design.

NeoIPC

REVERSE

OCCSI

Implementation Science in Nursing

Rahel Naef’s research focuses on the

  • adult family health and illness management ability
  • effectiveness of family systems nursing interventions and integrated models of care delivery
  • implementation of evidence-based nursing practices

Her research focuses on the health and well-being of families in vulnerable situations, such as families engaged in caregiving and on families experiencing acute-critical illness, loss or bereavement.

Drawing on a wide range of methodological approaches, she investigates the impact of relational family systems, nursing interventions and models of care on individual and family illness management ability and health outcomes.

Rahel Naef has a particular interest in the study of knowledge translation strategies to promote the systematic uptake of evidence-based, interprofessional care delivery for people with cognitive impairment and their families entering acute care, as well as for those bereaved. The research work is at the intersection of nursing science and implementation science with a focus on family nursing.

FICUS Trial

BEST CARE

Digital and Mobile Health

Much of Prof. von Wyl’s work centers around Multiple Sclerosis (MS) and the Swiss MS Registry. This registry combines the approach of citizen sciences with digital health studies and has produced important findings to improve care for people with MS. Recent research activities include epidemiological analyses of the life course and disability progression of persons with MS, which combine patient survey data with clinical information, fitness wearables data and electronic patient diaries.

Other research interests include the development of methods for digital epidemiology (e.g., for the design and operation of digitally augmented observational studies), text analysis using crowdsourcing methods (e.g., to analyze patient diaries), and clustering methods for time-series data.

He is also involved in the effectiveness analysis of the SwissCovid Digital Proximity Tracing App.