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Evidence based Best Practice
Provider: Faculty of Health and Medical Sciences

Activity no.: 3914-22-00-00 
Enrollment deadline: 09/01/2023
Date and time08.02.2023, at: 08:00 - 10.02.2023, at: 16:00
Regular seats16
Course fee4,080.00 kr.
LecturersAnn Merete Møller
ECTS credits2.30
Contact personKarin Frydenlund Jespersen    E-mail address: karin.frydenlund.jespersen@regionh.dk
Enrolment Handling/Course OrganiserPhD administration     E-mail address: phdkursus@sund.ku.dk

Aim and content
This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH.

Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list.

The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member universities. All other participants must pay the course fee.


Learning objectives

A student who has met the objectives of the course will be able to:

1. Frame a clinically relevant research question

2. Use the PICOs method to structure the question

3. Perform a structured, comprehensive and focus literature search

4. Critically evaluate existing evidence in multiple research methodologies

5. Make evidence based clinical decisions based on a interdisciplinary evaluation of existing knowledge, including implementations strategies.


Content

Topics covered in the course will include: How to frame a clinical question that need answer, using different techniques to find and refine that question using the PICO and other strategies. How to perform a comprehensive search to find relevant papers in several databases. How to sort the relavant papers from the irrelevant ones using electronic platforms. How to critcally evaluate scientific papers in diffenret designs. Making sense of the evidence by data synthesis. How to make clinical decisions based on the retrieved litterature and other inportants factors such as patient preferences and clinical expertise.

The course will cover a range of scientific methods, such as randomised clinical trials, qualitative research, diagnotic tests, cohort studies, questionnaires and others.


Participants

PHD students from health care science. The course will be interdisciplinary and welcome student with any health care background (for example doctors, nurses, physiotherapists, occupational therapists etc.


Relevance to graduate programmes

The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:

All graduate programmes


Language

Danish


Form

Interactive - the students work with their own questions. Teaching methods will include lectures, exicercises, work in small groups, discussions in plenum.


Course director

Ann Merete Møller. Professor, overlæge, dr.med, Department of Anaesthesiology, Herlev University Hospital, ann.moeller@regionh.dk


Teachers

Ann Moeller, Professor, MD, Herlev University Hospital, and University of Copenhagen

Thordis Thomsen, Professor, RN, Herlev University Hospital, and University of Copenhagen

Janne Vendt, Information specialist, Cochrane Anaesthesia Review Group, Herlev University Hospital

Morten Vester-Andersen Associate Professor, Herlev University Hospital, and University of Copenhagen

Lars Lundstrøm, Associate Professor, Hillerød Hospital, and University of Copenhagen


Dates

2 - 4 November 2022

Time: 8 - 16


Course location

Herlev medborgerhus, Herlev


Registration

Please register before 1 October 2022


Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.

Applications from other participants will be considered after the last day of enrolment.


Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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