Course info

Description

Patient-reported outcome measures (PROM) are reported directly by the patient and are powerful tools to inform clinicians and researchers about the patient’s subjective experience.

During the course, the participants will be introduced to the term PROM and learn how to utilize the PROM tools in their own research. The course will encompass the development and objective validation of PROMs, how they are analyzed from a statistical perspective and how they can be used alongside registry data and in large database studies for research and clinical purposes.

Learning goals: (1) Selection of PROM, analysis, and reporting, (2) Understanding of strengths and limitations, validity and reliability, (3) Learning to increase response rate and how to handle non-response and missing data, (4) Understanding the use of PROM with register data and in large databases, (5) Understand the link between points 1 & 2 and the consequences of point 3 & 4.

Literature/Requirements

Selected papers will be announced to the participants and uploaded shortly before the course.

If applicable, bring your own PROM data for analysis.

Prerequisites

None

Evaluation

Active participation and written assignments throughout the course.

Organizer: Postdoc Esben Bolvig Mark emark@dcm.aau.dk Postdoc Anne-Marie Wegeberg (a.wegeberg@rn.dk).

Lecturer: Professor Sten Rasmussen, Associate professor Lone Jørgensen, Statistician Jan Brink Valentin, Professor Michael Skovdal Rathleff, Professor Søren Paaske Johnsen, MD Jakob Lykke Poulsen, Postdoc Esben Bolvig Mark, Postdoc Anne-Marie Wegeberg.                    

ECTS: 2.0           

Dates: 2, 9 and 14 March 2023 (9.00-15.30) meeting room 405 Forskningenhus, Søndre Skovvej 15, 9000 Aalborg

Program:

Day 1: Introduction to PROM and how to use them

Lecture 1: The importance and necessity of PROM from a clinical perspective – Sten Rasmussen

Lecture 2: Introduction to PROM and research examples – Esben Bolvig Mark

Written assignments – Anne-Marie Wegeberg/Esben Bolvig Mark

Lecture 3: Types of PROM tools, pros and cons in research and clinical practice – Lone Jørgensen

Lecture 4: Translation and validation of existing PROM tools – Lone Jørgensen

Written assignments– Anne-Marie Wegeberg/Esben Bolvig Mark

Day 2: Statistical analysis of PROM

Lecture 1: Validity of PROM - Jan Valentin

Lecture 2: Reliability of PROM - Jan Valentin

Written assignments – Anne-Marie Wegeberg/Esben Mark

Lecture 3: Statistical considerations and methods for analysing PROM – Michael Rathleff

Lecture 4: Multivariate statistical analysis of PROM – Michael Rathleff

Written assignments – Anne-Marie Wegeberg/Esben Bolvig Mark

Day 3: Use of PROM with registry data and in database studies

Lecture 1: Combining PROM and registry data – Søren Paaske Johnsen

Lecture 2: Challenges of Using PROM for registry data – Søren Paaske Johnsen

Written assignments – Anne-Marie Wegeberg/Esben Bolvig Mark

Lecture 3: PROM in database studies – Jakob Lykke Poulsen

Presentations of written assignments – Anne-Marie Wegeberg

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.