HNE-35903 Integration of evidence II (DL)

Course

Credits 3.00

Language of instruction:

English

Assumed knowledge on:

The following courses of the online master 'nutritional epidemiology and public health' are assumed knowledge: HNE-30403, HNE-30903, HNE-31403, HNE-31903, HNE-32403, HNE-32903, HNE-33903, HNE-34403, HNE-34903)
Because in these courses materials are collected that together form the basis for the position paper that will be written in this course.

Continuation courses:

The DL-MSc-specializations have a fixed schedule during the pilot-phase

Contents:

Note: This course has a maximum number of participants. The deadline for registration is one week earlier than usual. See Academic Year.(http://www.wageningenur.nl/en/Education-Programmes/Current-Students/Agenda-Calendar-Academic-Year.htm) -> Registration for Courses.
Note: The period mentioned below is the period in which this course starts. For the exact academic weeks see the courseplanning on www.wur.eu/schedule.

In this course you will translate your in-depth knowledge on research methodology into a position paper. In this paper you reflect on the body of scientific evidence for nutrient reference values, and their implications for population health. To this end, the course covers approaches for the integration of evidence in depth (incl. meta-analysis).

Learning outcomes:

After successful completion of this course students are expected to be able to:
- evaluate the body of evidence available for intake recommendations (NIVs: ANR, INLx, UNL) for a specific nutrient and target group, and evaluate the distribution of nutrient intake of populations against NIVs.
- judge the strength of scientific evidence for the NIVs using conceptual frameworks like DISH, evidence pyramid, Hill criteria;
- suggest opportunities for further research;
- develop a well-founded advice to an appropriate organization and suggest opportunities for policy development with respect to improvement of nutrient intake and status.
- conduct basic meta-analysis in R.

Activities:

E-modules, knowledge clips, online group discussion, individual paper.

Examination:

- individual Position paper (50%) + peer review (small portfolio) (20%);
- remote proctored exam: meta-analysis (30%);
All components need a minimum mark of 5.5 to pass.

Literature:

Petrie & Sabin, Medical statistics at a glance, selection of chapters)
Webb & Bain, Essential Epidemiology, 2nd ed, Ch 10
Research papers.