"The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."
"I found PHDA 05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses."
"PHDA 03 and 04 provided useful tools for me. I had always wanted to learn to use ArcGIS software to explore health data, and have both a geography and clinical background, so PHDA 03 and PHDA 04 were especially interesting."
"The growing importance of spatial thinking in health policy and epidemiology underscores the immense value of this course for researchers and practitioners alike. As a frequent user of GIS, I found this course to be an indispensable update to both my technical skills and theoretical understanding of health geography and spatial data analysis.
The course material challenged us to think creatively and conduct our own projects with the support of the instructor, while the weekly lab assignments guided us closely through the necessary procedures. Weekly discussions encourage us to discuss issues and themes in health GIS and share ideas, an invaluable experience for learning and networking."
My thesis supervisor told me about the program. My thesis project involved the analysis of Alberta Health’s administrative data on influenza vaccination and I needed to have a working knowledge of the tools of administrative data.
The courses were quite intensive but they provide the analytic tools that were complementary to the course experience I gained in my graduate program. I gained evaluation, spatial analytic and advanced analytical skills for modelling health outcomes data. Health Services Program Monitoring and Evaluation, Longitudinal Analysis and Multi-Level Modeling of Population Health Data, and GIS and Population Health were the courses that provided the greatest benefits to me.
I have actually used the skills I gained in the administrative data course to analyze my thesis data. I am currently working on a research project in which I am trying to incorporate the advanced analytical skills I gained in the ‘ Longitudinal Analysis and Multi-Level Modeling of Population Health Data’ course to specify my models. In the near future, I plan to incorporate some elements of spatial analysis into my research work.
The strengths of this program include:
Excellent, experienced instructors for each of the courses. Use of fellow students as peers to give feedback on assignments was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring. Also, discussion forums that promoted exchange of information amongst students using real life examples.
I would recommend the program to working professionals, researchers, and graduate students.
My suggestions for individuals entering the PHDA program would be to prepare for a very intensive program and to avail yourself of the full range of excellent resources that are available for the program, including the reading materials, the discussion forum, the instructors, the program coordinators, the program lead and the IT online help desk. I found all of them essential to achieving a successful outcome.
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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