Quantitative Methods for Quality & Safety

Course code PUBH6170Units 10Level 6000Faculty of Health and MedicineSchool of Medicine and Public Health

The aim of this course is to provide students with an introduction to statistical thinking, with a particular emphasis on statistical methods appropriate for quality improvement applications. Students are introduced to a statistical software package as a tool for data analysis and presentation. This course was designed for delivery by Distance Learning, but has been offered on campus both as a full-semester course and as a short course.

Not available in 2015

ObjectivesOn completion of this course the student will be able to:
1. Distinguish between different types of data;
2. Interpret summary statistics and graphical displays commonly presented in the quality in health care literature;
3. Understand that variation in inherent in all measurements;
4. Describe the issues to be considered when designing measurement instruments;
5. Explain the difference between hypothesis testing and parameter estimation;
6. Use statistical software to:
a. Undertake data management processes;
b. Carry out exploratory data analyses;
c. Construct and analyse graphical displays of variation including control charts;
d. Calculate and interpret correlation coefficients and regression equations.
ContentCourse content consists of learning modules covering:
1. Summarising and presenting numerical data
2. Measurement and data management
3. Exploratory data analysis
4. Making decisions based on data a. Statistical inference
5. Making decisions based on data b. Statistical process control
6. Correlation and regression
Replacing Course(s)n/a
Industrial Experience0
Assumed KnowledgeNone
Modes of DeliveryDistance Learning : IT Based
Distance Learning : Paper Based
External Mode
Teaching MethodsEmail Discussion Group
Self Directed Learning
Assessment Items
Essays / Written AssignmentsThree assignment worth 25%, 25% and 50% respectively.
Contact HoursEmail Discussion Group: for 2 hour(s) per Week for Full Term
Self Directed Learning: for 6 hour(s) per Week for Full Term