Quality Management in Health with thesis | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code: | SAY512 | ||||||||
Course Name: | Biostatistics and Decision Making | ||||||||
Course Semester: |
Fall |
||||||||
Course Credits: |
|
||||||||
Language of instruction: | TR | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
|
||||||||
Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi DUYGU AYDIN HAKLI | ||||||||
Course Lecturer(s): |
Öğr.Gör. ŞİRİN YILMAZ Öğr.Gör. SALİM YILMAZ |
||||||||
Course Assistants: |
Course Objectives: | To teach the basic statistical concepts and methods with special examples and applications for health area , to provide students to understand and evaluate the literature in their field. |
Course Content: | 1. Basic concepts of biostatistics, 2. Descriptive statistics according to data type, 3. Graphs suitable for the data type, 4. Sample distribution and standard error, 5. Confidence intervals for statistics, 6. Hypothesis testing, 7. Correlation and simple linear regression analysis 8. Multivariate linear regression analysis |
The students who have succeeded in this course;
|
Week | Subject | Related Preparation |
1) | Presentation of the course to the students: Basic statistical concepts; statistics, biostatistics, usage areas of biostatistics, population, sample, statistics, parameters, data, variables, data types, etc. | |
2) | Descriptive Statistics : • Descriptive statistics calculated by variable type. • Descriptive statistics; data classification, measurements. • Dispersion measures. Article criticism | |
3) | Single variable tables and graphs • Tables and graphs; interpret marginal table and graphs: histogram, bar graph, stem-leaf graph, box plot, mean-standard deviation graphs. | |
4) | Multivariate tables and Graphs • Multivariate tables and graphs; cross tables, multivariate applications of basic graphical representations, scatter plot, etc. Article criticism | |
5) | Theoretical Distributions • Theoretical distributions: normal distribution, binomial distribution, poisson distribution. • normality tests and graphs. | |
6) | Sampling Distributions and confidence intervals • point estimation, standard error, confidence level and margin of error • standard error and margin of error • confidence intervals for means and proportions | |
7) | Article critisicm | |
8) | Mid-term- Presentation | |
9) | Introduction To Hypothesis Tests – One-Sample Tests • the concepts of α and β. • the studies related to one sample. | |
10) | Independent Two-Sample Tests • two sample hypothesis tests about independent groups. • Interpret the result. Dependent Two-Sample Tests • two sample hypothesis tests about dependent groups. • Interpret the result. Article critism | |
11) | Independent More Than Two Sample Tests • more than two samples hypothesis tests about independent groups. • Interpret the result. Dependent More Than Two Sample Tests • more than two samples hypothesis tests about dependent groups. • Interpret the result. Article criticism | |
12) | Correlation and Lineer Regression Analysis • relationship between variables. • simple regression model. • multiple linear regression models. • model proficiency. Article criticism | |
13) | Final exam-Presentation | |
14) | Final exam-Presentation |
Course Notes / Textbooks: | Ders notları haftalık bazda verilecektir. Her hafta makale kritiği yapılacaktır. |
References: | 1. Andy Field, Discovering Statistics Using SPSS, SAGE Publications,2009. |
Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
---|---|---|---|---|---|---|---|---|
Program Outcomes | ||||||||
1) Identify and analyze problems in healthcare delivery Can lead in the solution of problems related to quality management in the health sector, develop strategic approaches, and produce solutions related to problems. It can follow scientific and legal developments related to quality management in health, interpret it by combining it with information from different disciplines and create new information. It gives importance to team work and shares information. | ||||||||
2) By making due diligence using research and development methods, it makes new arrangements and improvements in the light of the data obtained, and solves the problems that arise using these methods. It gives importance to patient, employee and facility security, acts within the principles of medical ethics, contributes to the development of patient-patient relatives-health worker relations. Can establish quality management-accreditation systems in health, supervise, continuously improve and develop these systems in all areas of the health sector. It increases efficiency. Can manage scientific studies related to Quality in Health independently. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Identify and analyze problems in healthcare delivery Can lead in the solution of problems related to quality management in the health sector, develop strategic approaches, and produce solutions related to problems. It can follow scientific and legal developments related to quality management in health, interpret it by combining it with information from different disciplines and create new information. It gives importance to team work and shares information. | |
2) | By making due diligence using research and development methods, it makes new arrangements and improvements in the light of the data obtained, and solves the problems that arise using these methods. It gives importance to patient, employee and facility security, acts within the principles of medical ethics, contributes to the development of patient-patient relatives-health worker relations. Can establish quality management-accreditation systems in health, supervise, continuously improve and develop these systems in all areas of the health sector. It increases efficiency. Can manage scientific studies related to Quality in Health independently. |
Expression | |
Brainstorming/ Six tihnking hats | |
Lesson | |
Reading | |
Q&A / Discussion | |
Application (Modelling, Design, Model, Simulation, Experiment etc.) |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework | |
Presentation |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 10 |
Presentation | 2 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 6 | 84 |
Homework Assignments | 6 | 8 | 48 |
Midterms | 1 | 20 | 20 |
Final | 1 | 40 | 40 |
Total Workload | 234 |