"I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time, I found the longitudinal data analysis course (PHDA 05) and geocoding skills in (PHDA 03) were the most helpful. This is because with increasing use of multiple drugs it is important to determine where outbreaks occur and be able to establish cohorts of people who use these substances and then follow over time determining predictors of change."
"I would highly recommend this program to anyone wishing to gain a strong foundation in GIS and data, even those individuals not directly involved in the population health field. All of the courses force the student to think critically, develop time management skills, become effective data organizers, and learn to work in a virtual team towards a common goal within very tight parameters. I found all staff related to the various components of the program very knowledgeable and considerate."
"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 learned about the PHDA program through browsing on web and was motivated to get more training in population health data analysis while working full-time.
Although the course load was a bit heavy at times, I think I’ve learned a lot and developed hands-on experience in analyzing population health data using SAS and ArcGIS.
I have not yet had a chance to utilize all the knowledge and skills I’ve gained in my current work, but definitely have a better understanding of results that are analyzed using ArcGIS.
The strengths of this program include: good organization of coursework, exposure to variety of relevant topics, hands-on experience using several analytical software, excellent support and feedback by instructors, and a flexible schedule.
I would definitely recommend colleagues and others to take this program for further professional development.
My program experience has been great and thank you for all the support I received from instructors and staff members in the PHDA program.
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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