Study Programmes 2016-2017
WARNING : 2015-2016 version of the course specifications
KINE0003-1  
Evidence Based Practice and quality management
  • Quality management and self-evaluation
  • Evidence Based Practice
  • Documentary techniques for physical and rehabilitative activities
  • Use of statistical software programmes
Duration :
Quality management and self-evaluation : 5h SEM
Evidence Based Practice : 6h SEM
Documentary techniques for physical and rehabilitative activities : 5h Th
Use of statistical software programmes : 4h SEM
Number of credits :
Master in physiotherapy and rehabilitation (60 ECTS)1
Lecturer :
Quality management and self-evaluation : Christophe Demoulin, Didier Maquet
Evidence Based Practice : Olivier Bruyère
Documentary techniques for physical and rehabilitative activities : Frédéric De Lemos Esteves
Use of statistical software programmes : Anne-Françoise Donneau
Coordinator :
N...
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the first semester, review in January
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
Quality management and self-evaluation
...
Evidence Based Practice
The different types of studies Bias in research Experimentation methodology Assessment of the relevance of the literature
Documentary techniques for physical and rehabilitative activities
Summary of the recommendations in favour of the systematic exploration of scientific literature.
Use of statistical software programmes
Introduction to the statistical package R - Rcmdr
Learning outcomes of the learning unit :
Quality management and self-evaluation
...
Evidence Based Practice
The objective of this course is to provide the student with elements required to critically appraise the scientific data of his future professional activities, and his end of study work .
Documentary techniques for physical and rehabilitative activities
Evidence-based practice (EBP) in the field of health is based on a 5-step process (known as the five A's: Ask, Access, Appraise, Apply, Audit). The first three steps clearly refer to the document search methodology. By the end of this course, students should be able to: 1. Choose which resources to draw from, especially bibliographical databases such as Medline, PsycInfo, SPORTDiscus, Scopus and Cochrane resources; 2. Use the advanced features of the main search engines: PubMed, Ovid, and EBSCOhost; 3. Use controlled vocabulary to construct complex efficient query syntax: MeSH (National Library of Medicine) language and APA (American Psychological Association) thesauri; 4. Use the quality indices available regarding bibliographic records in order to select the most relevant publications; 5. Use the basic functions of a bibliographic software management program such as Mendeley.
Use of statistical software programmes
At the end of the course, the student should be able to use the main functions of R
Prerequisite knowledge and skills :
Evidence Based Practice
None
Documentary techniques for physical and rehabilitative activities
Course APPR1001-A-a: Information system approach in physiotherapy. The other courses in the Evidence-Based Practice module (KINE0003-1).
Use of statistical software programmes
Basic knowledge of computing and biostatistics
Planned learning activities and teaching methods :
Evidence Based Practice
6 hours of theory
Documentary techniques for physical and rehabilitative activities
In two of the classes, students are encouraged to participate, give their opinion and summarise what they have learnt about information retrieval and critical reading. One of the classes will focus on using the Mendeley software program.
Use of statistical software programmes
The course is taught using a PC
Mode of delivery (face-to-face ; distance-learning) :
Quality management and self-evaluation
...
Evidence Based Practice
Face-to-face
Documentary techniques for physical and rehabilitative activities
Face-to-face
Use of statistical software programmes
Classroom teaching
Recommended or required readings :
Evidence Based Practice
Lecture notes will be available via "myULg"
Documentary techniques for physical and rehabilitative activities
The slides presented in class will be available on myULg (https://my.ulg.ac.be/MyULg). See also: Straus, S. E., Glasziou, P., Richardson, W. S. et al. - Evidence-Based Medicine: How to Practice and Teach It. 4th Edition. Churchill Livingstone Elsevier, Edinburgh, 2011.
Use of statistical software programmes
Slides as well as databases used during the courses will be made available to the students.
Assessment methods and criteria :
Evidence Based Practice
Assessment based on atttendance
Documentary techniques for physical and rehabilitative activities
There is no specific assessment for these sessions.
Use of statistical software programmes
None
Work placement(s) :
Use of statistical software programmes
Not applicable
Organizational remarks :
Evidence Based Practice
For the examination procedures, please refer to the official rules available on the University website.
Documentary techniques for physical and rehabilitative activities
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Use of statistical software programmes
Students will have to bring their PC with the R-Rcmdr software duly installed
Contacts :
Quality management and self-evaluation
- MAQUET Didier : D.Maquet@ulg.ac.be - ISEPK - B21 - 04/366.39.27
Secrétariat : Anne DEPAIFVE - ISEPK - B21 - 04/366.38.90 adepaifve@ulg.ac.be
Evidence Based Practice
Please, use only your ULg email address (XXX@student.ulg.ac.be) for any exchange of mails and specify in the subject line of your email the course code (KINE0003).
Professor Olivier Bruyère Department of Public Health, Epidemiology and Health Economics CHU Sart Tilman, Bât B23 4000 Liège Tel.: +32 (0)4 366 25 81 Fax: +32 (0)4 366 28 12 E-mail: olivier.bruyere@ulg.ac.be
 
Documentary techniques for physical and rehabilitative activities
Doctor Frédéric de Lemos Esteves Life Sciences Library CHU - Tour 5 Quartier Hôpital Avenue de l'Hopital 11 - Bât B34 4000 Liège Tel: +32 4 366 21 75 Fax: +32 4 366 21 90 Email: fdelemosesteves@ulg.ac.be
Use of statistical software programmes
Anne-Françoise DONNEAUInformatique médicale et Biostatistique
CHU Sart Tilman B23
4000 Liège
Tél: 04 366 47 90
Email: afdonneau@ulg.ac.be