SITK17004E Exam in Public Health Informatics

Volume 2017/2018
Education

Master in Innovation in Health Care

For information about student work load during the course: please see the course desciption for "Course in Public Health Informatics".
  • Category
  • Hours
  • Exam
  • 5
  • Total
  • 5
Credit
4,5 ECTS
Type of assessment
Written examination, 5 hours under invigilation
Written eksam consists of a number of questions which can be answered by using data sets provided at the time of exam. Questions are answered during the 5 hour exam by programminug in statistical software Stata.
Exam registration requirements

Approved course attestation from the course "Course in Public Health Informatics

Aid
All aids allowed

All help/material (course material on USB) is allowed, but not devices that allow for external communication (mobile phones, internet acces to messenger, etc.).

Marking scale
7-point grading scale
Censorship form
No external censorship
Criteria for exam assesment

To get the highest grade, student should illutsrate:

  • explain the content and structure of the data in the selected Danish health registers
  • explain different disease classification systems used in Danish registers
  • explain the quality indicators and validty of register data and can explain the methods for evaluation of validty
  • explain the use of registers for both administrative and research purposes
  • explain how collected register data can be used as quality, process and result indicators
  • perform editing of raw register data in format suitable for statistical analyses in Stata
  • perform analyses of register data in Stata and calculate person-years, mortality rates, prevalence and incidence rates
  • explain application of register data in descriptive and analytical epidemiology
  • explain under which circumstances data can be used in informing the citizens 
  • explain the balance between detail and 'noise' in data (missclasification and statistical variation) i registers
  • explain the quality indicators and validty of register data and can explain the methods for evaluation of validty