Course Description

Course Description Course Outline Course Contribution to Program Qualifications Assessment Methods ECTS-Workload Detail Informations of the Course Numerical Data

Course Description

Course	Code	Semester	T+P (Hour)	Credit	ECTS
EVIDENCE BASED MEDICINE	-	Fall Semester	28+42	-	4

Course Program

Prerequisites Courses
Recommended Elective Courses

Language of Course	English
Course Level	First Cycle (Bachelor's Degree)
Course Type	Practice
Course Coordinator	Assist.Prof. Ömer ATAÇ
Name of Lecturer(s)	Prof.Dr. Osman Erol HAYRAN, Assist.Prof. Ömer ATAÇ, Prof.Dr. Abdulbari BENER, Assist.Prof. Ayşe Seval PALTEKİ, Assoc.Prof. Perihan TORUN
Assistant(s)	Ömer Ataç, Hüseyin Küçükali, Mehmet Koçak, Ayşe Seval Palteki
Aim	The aim of this clerkship is; to provide accessing scientific evidences compatible with patient expectations and expert experiences and using those evidences in the light of the latest up-to-date information during daily medical practices and decision.
Course Content	This course contains; Introduction to Evidence Based Medicine: Data, Information, Knowledge ,Hierarchy of Evidence and Observational Studies,Experimental Studies: Randomized Controlled Clinical Trials,Meta-Analysis and Systematic Reviews ,Finding Evidence: International Data Bases, Cochrane Library ,Risk Calculations, NNT, NNH,Distinguishing Normal from Abnormal: Predictive Value Method,Student Presentations-1,Student Presentations-2,Examination.

Dersin Öğrenme Kazanımları	Teaching Methods	Assessment Methods
At the end of this course students will be able to: -Define Evidence-Based Medicine (EBM) and Hierarchy of evidence -Classify Research Types -Read Systematic Reviews and Meta-Analysis articles -Search and find best research evidence -Make Risk analysis -Compute Sensitivity, Specificity and Predictive Values	10, 14, 5, 6, 9	A, E
Explains the meaning and importance of the evidence in medicine. Lists the evidence hierarchy. Lists the ways of producing evidence and reaching existing evidence. Defines the data, information and knowledge. Interprets meta-analyses and systematic reviews. Listes and compares the types of research methods used to produce evidence. Can define and calculate Sensitivity, Selectivity and Predictive Value. Knows the usage areas of risk accounts. Can make and interpret risk calculations. Knows the important errors and biases in the scientific research. Can detect and interpret errors and biases in a research. Reaches and uses national and international evidence-based databases. Evaluates meta-analysis articles and systematic reviews	10, 14, 5, 6, 9	A, E

Teaching Methods:	10: Discussion Method, 14: Self Study Method, 5: Cooperative Learning, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:	A: Traditional Written Exam, E: Homework

Course Outline

Order	Subjects	Preliminary Work
1	Introduction to Evidence Based Medicine: Data, Information, Knowledge
2	Hierarchy of Evidence and Observational Studies
3	Experimental Studies: Randomized Controlled Clinical Trials
4	Meta-Analysis and Systematic Reviews
5	Finding Evidence: International Data Bases, Cochrane Library
6	Risk Calculations, NNT, NNH
7	Distinguishing Normal from Abnormal: Predictive Value Method
8	Student Presentations-1
9	Student Presentations-2
10	Examination

Resources

1- www.cochranelibrary.com 2-Hayran O, Özbek H. Sağık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Örnekleri ile Genişletilmiş 2. Baskı) Nobel Tıp Kitabevleri, İstanbul, 2017 3-Straus SE, Glasziou P, Richardson WS, Haynes RB. Evidence-Based Medicine: How to Practice and Teach EBM. 5th ed., 2018. 4-Goodman MS. Biostatistics for Clinical and Public Health Research. Routledge, New York, 2017. 5-Bruce N. Quantitative Methods for Health Research : a practical interactive guide to epidemiology and statistics. Second ed., NJ:Wiley, 2018. 6-Greenhalgh T. How to read a paper: the basics of evidence-based medicine. Wiley, BMJ Books, 2014.

Lecture notes

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
No	Program Qualification	Contribution Level
No	Program Qualification	1	2	3	4	5
1	PQ1: Knows the morphological and functional normal and abnormal structure of human body.
2	PQ2: Knows the essential ways of determining the underlying causes of the pathologies with basic scientific approaches and the diagnoses of illnesses and disorders.
3	PQ3: Knows the reasons for illnesses, the ways of protection, and the methods of promotion and improvement of public health.
4	PQ4: Knows the methods of advancing his/her knowledge about health and its practice.
5	PQ5: Accesses, interprets and applies the advanced interdisciplinary information related to health.
6	PQ6: Performs a complete clinical examination of the human body, both morphologically and functionally and defines the problems.
7	PQ7: Interprets examination data for diagnoses, compares with clinical data, and provides solutions.
8	PQ8: Selects and applies appropriate tools for promotion and improvement of individual and public health.
9	PQ9: Plans and conducts an advanced study of health independently.
10	PQ10: Takes responsibility individually and as a team member to solve the problems encountered in the promotion and improvement of individual and public health.
11	PQ11: Takes responsibility for any intervention on the human body for the diagnosis and treatment.
12	PQ12: Determines personal learning requirements and decides and develops a positive lifelong learning attitude.
13	PQ13: Evaluates the information gained in the field of health with a critical approach.
14	PQ14: Informs the patient, the relevant people and institutions, and the public about the health problem and conveys recommendations of solutions in writing and/or verbally.
15	PQ15: Shares their recommendations on promotion and improvement of health with interdisciplinary experts by supporting with data.
16	PQ16: Uses English at least at the General Level of European Language Portfolio B1, follows resources in his/her field and communicates.
17	PQ17: Uses computer software, information, and communication technologies at least at the Advanced Level of European Computer Operating License.
18	PQ18: Acts in accordance with social, scientific, cultural and ethical values in the stages of obtaining, interpreting, applying and announcing the data related to the field of health.
19	PQ19: Develops strategy, policy and implementation plans on health issues and evaluate the results obtained the framework of quality processes.
20	PQ20: Systematically shares his/her works on promoting and improving health with quantitative and qualitative data and interdisciplinary experts.
21	PQ21: Has sufficient awareness on occupational health and safety issues.

Assessment Methods

Contribution Level	Absolute Evaluation
Rate of Midterm Exam to Success		40
Rate of Final Exam to Success		60
Total		100

ECTS / Workload Table
Activities	Number of	Duration(Hour)	Total Workload(Hour)
Course Hours	7	8	56
Guided Problem Solving	0	0	0
Resolution of Homework Problems and Submission as a Report	1	18	18
Term Project	2	12	24
Presentation of Project / Seminar	2	4	8
Quiz	0	0	0
Midterm Exam	0	0	0
General Exam	1	6	6
Performance Task, Maintenance Plan	0	0	0
Total Workload(Hour)			112
*Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30=(112/30)**			4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course