"I would recommend the program to working professionals, researchers, and graduate students.
The program had many strengths including: excellent, experienced instructors for each of the courses; use of fellow students as peers to give feedback on assignments (this was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring); and discussion forums that promoted exchange of information amongst students using real life examples".
"This course is a rich and nuanced exploration of the interplay of spatial associations between population health and exposure to multiple risk factors including pathogen/toxin load, socio-economic influences and ‘built environment’ indices. Well-paced and supported ‘labs’ move from mapping skills and associated ethics to the use of spatial statistics in assessing distribution in population health. Required readings are current and wide-ranging. The final project provides a wonderful opportunity to use acquired tools to explore in depth a personal research project of interest.
I highly recommend this course to all in population health – from analysts and city planners to physicians and veterinarians. The power of GIS to put “place” into the population health equation is a powerful tool. This course illuminates this exceptionally."
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.
"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 benefited by having an 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."
"Courses which benefited me the most are PHDA 03 Population Health and Geographic Information System (GIS) and PHDA 04 Spatial Epidemiology and Outbreak Detection.
I am really satisfied with these courses especially the hands-on experience gained while using ArcMap to map diseases and assess spatial dependences. Skills developed include generating choropleth map, joining attribute tables to shapefile and perform geographically weighted regressions."
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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