"I enjoyed the PHDA 06 Health Services Program Monitoring and Evaluation course the most. Although I had taken an evaluation course in my Master’s program, I found the PHDA 06 course very good at clarifying information and dividing the evaluation process into very practical/applied steps/stages."
"The courses that provided me the greatest benefit included the Population Health and Geographic Information Systems (GIS), and Spatial Epidemiology and Outbreak Detection.
Using the GIS and SAS skills that I learned from the PHDA program, I was able to create a Normalized Difference Vegetation Index (NDVI) layer using GIS software, which showed peak greenness for the entire country over a ten-year period. Using this data and other administrative databases a team of researchers led by Dr. Dan Crouse and myself, conducted a research study that looked at how living by residential greenspace can impact longevity."
"The GIS courses, PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection provided the greatest benefits. They were excellent and introduced brand new skills for me. Prior to taking these courses I had some brief exposure to GIS within my Master’s program and through the free online PopData courses. The PHDA 03 and PHDA 04 course labs were very detailed and instructional, offering good balance between theory and practice. The courses generally had enough materials I could take away to continue working independently."
"The courses I found to be of greatest benefit to me and my work were PHDA 01 (Working with Administrative Data) and PHDA 05 (Longitudinal Analysis and Multi-level Modeling of Population Health Data). These courses provided practical skills that I find I apply regularly to my job, and made me much more comfortable with using data analytic programs like SAS."
I was browsing for the statistical method (longitudinal analysis) on the Google website as it related to a project I was doing at work. Then, I found the course (PHDA05) on the search results. After reviewing the program description, I found the program included many courses that I was most interested in. The course lab components were particularly attractive as they enabled me to practice with various statistical software including SAS, ArcGIS, and Mplus and work with actual health administrative data.
Overall, the course(s) experience was great. The greatest benefit to me was learning about GIS and practicing the learning through lab assignments with ArcGIS in the PHDA 03 course. Meeting classmates online with diverse backgrounds/experience, sharing ideas and learning from each other on the various topics was another valuable experience. Often, I was inspired by many of my classmates who were passionate about the topic that we were asked to discuss in the discussion forum. They brought their real-life examples from school and work. Just by reading other students’ thoughts or comments motivated me to participate and helped me learn and digest concepts in different ways.
Personally, I haven’t had a specific chance yet to apply what I’ve learned through the program. In the near future, I hope that there is a chance for me to learn more about GIS and use ArcGIS by applying what I’ve learned from The Population Health and GIS course (PHDA 03). With only one course of completion in GIS, I don’t have enough confidence with ArcGIS skills I learned to complete a GIS related work project on my own at this point.
Personally, I benefited by having access to various analytic tools and different types/sources of health administrative data. They included a good balance of practice and theory. I did not find these kinds of courses were available to me when I was at University. In addition, I had very practical hands-on practice using statistical analytic tools such as SAS or ArcGIS which are not freely available for public use.
Yes, I would definitely recommend this program to my colleagues or others who would like to develop analytical skills and knowledge in data analysis and the use of health data. I found the Moodle course site was well organized with good technical support. The instructors were also very helpful.
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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