2018

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Time: Sep. 17, 2018Nov. 30, 2018

The course entails qualitative real world research methods at an advanced scientific level for research within the Social and Clinical Pharmacy area.

The course focuses on both theoretical lectures and practical assignments.

Learning outcome

  1. Have an understanding of the foundations for qualitative methodology and methods
  2. Have a broad understanding of a range of qualitative methods: focus groups, interviews, covert and overt observation and documentary analysis and different approaches for analysis
  3. Have an understanding of how to use theory in qualitative research (inductive and deductive approaches)
  4. Be able to discuss the role of the researcher when using qualitative methods, including how preconceptions affect the research
  5. Have an understanding of concepts such as different sampling strategies, saturation of data, and research ethics and quality of qualitative research
  6. Have first-hand experience with interviews/observations, and be able to reflect upon them
  7. Have a specific experience of a chosen method of analysis (will be chosen based on needs/wishes of participants)
Time and place: Sep. 6, 2018 9:00 AMSep. 7, 2018 5:00 PM, Isegran Fort, Fredrikstad

A high-level writing course aimed at senior PhD students and postdocs who are working on high-impact data for top-tier journals. The workshop is taught by editors from selected relevant journals from the Nature Publishing Group, and aims to provide coaching and contact between the authors and the editors to facilitate tailoring results and pitch to the target audience.

Time and place: May 22, 2018 10:00 AMMay 25, 2018 4:00 PM, University of Bergen

The aim of the course is to introduce healthcare service researchers to the process of evaluating complex interventions.

The course will consist of:

  • Defining the concepts of feasibility testing, piloting and definitive trials
  • The design of randomised controlled trials to maximise generalisability and minimise both reactive and systematic bias
  • The role of statistics in trial design and evaluation
  • The concept of health economics and how to incorporate it in the evaluation of complex interventions
  • Process evaluation to maximise intervention effectiveness and likelihood of future implementation