HEP607 - FUNDAMENTALS of CANCER REGISTRATION
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
FUNDAMENTALS of CANCER REGISTRATION | HEP607 | Any Semester/Year | 2 | 0 | 2 | 4 |
Prequisites | NON | |||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Discussion Question and Answer Drill and Practice Problem Solving | |||||
Instructor (s) | Doç.Dr. Sultan Eser | |||||
Course objective | The aim of the course is to ensure to gain information on principles and methods of cancer registration and to know the importance of quality of the data. | |||||
Learning outcomes |
| |||||
Course Content | Description and uses of Cancer registration, principles of cancer pathology, cancer registration systems, case assertainment, abstracting, coding, CanReg5 software, staging, confidentiality, conparability and quality control process. | |||||
References | Cancer Registration Principles and Methods. O.M. Jensen, D.M. Parkin, R. MacLennan, C.S. Muir and R.G. Skeet, IARC no:95 , Lyon 1991. Cancer Epidemiology: Principles and Methods, Isabel dos Santos Silva, IARC, Lyon, 1999 Armstrong KB. The role of the cancer registry in cancer control. Cancer Causes and Control. Vol 3,1992, 569-579. Comparability and Quality Control in Cancer Registration, Parkin, D.M., Chen, V.W., Ferlay, J., Galceran, J., et al, IARC, 1991 ICD-O International Classification of Diseases for Oncology, Third Edition, A Fritz, C Percy, A JAck, K Shanmugaratham, et al, WHO, Geneva 2000 |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Introduction to cancer registration, historical background |
Week 2 | Basic principles in cancer epidemiology |
Week 3 | Introduction to cancer pathology |
Week 4 | Data sources, case ascertainment |
Week 5 | Case abstracting |
Week 6 | ICD O 3 classification system and coding |
Week 7 | Multiple primaries |
Week 8 | Canreg 5 software |
Week 9 | Death certification clearance, data processing |
Week 10 | Data analysing and presentation |
Week 11 | Confidentiality |
Week 12 | Staging |
Week 13 | Comparability and quality control |
Week 14 | Breast cancer, lung cancer: abstracting, coding |
Week 15 | Exam preparation |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 4 | 20 |
Presentation | 4 | 30 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 0 | 0 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 8 | 50 |
Percentage of final exam contributing grade succes | 1 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 2 | 28 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 2 | 28 |
Presentation / Seminar Preparation | 4 | 10 | 40 |
Project | 0 | 0 | 0 |
Homework assignment | 4 | 5 | 20 |
Midterms (Study duration) | 0 | 0 | 0 |
Final Exam (Study duration) | 1 | 4 | 4 |
Total Workload | 37 | 23 | 120 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest