Sessional Lecturer-HAD5724H Quantitative Methods for Health Services Management and Policy

CUPE Local 3902 (Unit 3) Job Posting

Sessional Lecturer Position

Posting Date : June 26, 2024

Program : MHSc Health Administration

Sessional Dates of Appointment : Fall 2024, September to December

Course Title : HAD5724H Quantitative Methods for Health Services Management and Policy

Course Description :

The objective of this course is to introduce students to quantitative managerial skills. Increasingly managers face decisions that require reliable information and a clear understanding of their agency’s profile.

Quantitative managerial skills allow for this information and understanding to be provided; it makes possible better decisions in human resources, marketing, operations, finance, accounting, and other functional areas.

Objectives of the course are achieved through a combination of Readiness Assessment Tests and critical analysis of evidence based articles and the impact on decision making.

Course assignments offer students opportunities to analyze a Patient Satisfaction data set using SPSS and to develop their evidence based decision making skills.

Objectives :

Upon completion of the course, students will be able to :

• Value the use of statistical analyses for performance management and evaluation of health care services and programs
• Display confidence in ability to use quantitative information for management decision making
• Reconstruct administrative problems into researchable questions
• Evaluate how the characteristics of descriptive statistics can impact management decision making
• Select and apply appropriate inferential statistical tests
• Relate the results of a hypothesis test with nominal data to real-life decision making situations
• Demonstrate the ability to work collaboratively in a team environment and hold others accountable for their performance

Course Details :

Class schedule : Modular

Estimated enrolment : 33

Estimated TA support : based on enrolment - None

Qualifications :

• Significant experience in data analytics and quantitative methods to inform health care decision making
• A robust understanding of quantitative methods and applications in health services research, management and policy
• Past teaching experience related to quantitative methods
• Prior experience in curriculum development and adult teaching-learning methods;
• Experience working in more applied settings including for example as a preceptor;
• Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing).

Duties :

• Co-Course instructor for a professional graduate course using competency-based learning and assessment methods.
• Must be accessible to students outside of classroom hours.
• Available evenings and weekends.

Course Description Details https : / / ihpme.utoronto.ca / course / had5724h /

Salary : Commensurate with experience

Application : Please send your CV and cover letter, outlining additional value you will bring to teaching the course via e-mail to mailto : ihpme.

[email protected] and [email protected]

Closing Date : July 19, 2024

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14 : 12 of the CUPE 3902 Unit 3 collective agreement.

Please Note : Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.