"I would like to recommend PHDA courses to others. I believe the program is very practical and useful to those working in the public health field. It provides a good opportunity for the development of a future career plan.
I learned how to use several popular software programs such as SAS, R, ArcGIS and Mplus. All of them are very helpful. The PHDA 06 course about Health Services Program Monitoring and Evaluation helped me evaluate my work program. "
PHDA testimonials
PHDA Overall program/course experience
PHDA full testimonial
- How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?
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I learned about the PHDA program through researching continuing education certificates focused on population-level health administrative analysis. I was motivated to do so as I am particularly interested in health services research during the end-of-life phase.
- Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?
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Overall, I had a positive program experience. I greatly appreciated the asynchronous format as it allowed me to develop my skills without risking my other professional commitments. I found PHDA05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses. In addition, I found PHDA03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research.
- How do you plan to apply your new skills in your work/research?
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I believe the skills I have learned through this program will be directly relevant to my current research interests. Also, I plan on increasingly incorporating GIS analyses in my health services research, in order to understand another dimension of care accessibility during the end-of-life phase.
- What do you think were the strengths of the course(s) you completed? Please provide examples.
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The collaborative activities throughout the various courses were greatly appreciated, despite the asynchronous format!
- Would you recommend PHDA courses to others? If so, what recommendations/suggestions would you give those interested in completing these courses?
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Absolutely – the PHDA program is a great program for anyone who is interested in further exploring population-level analyses. For prospective students, I recommend honing on your SAS skills prior to program completion. While not necessary, having prior experience using SAS is beneficial to successfully completing courses.
- Any additional comments that you would like to add?
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Overall, my experience was largely positive. The instructors are very knowledgeable and accessible to students, and the program staff are always helpful!
PHDA 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"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."
PHDA 03 Population Health and Geographical Information Systems
"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."
PHDA 03 Population Health and Geographical Information Systems
"I developed an understanding of not only how descriptive statistics can be geographically interpreted, but also how inferential statistics can be geographically interpreted. It taught me how to begin thinking spatially in-terms of patterns of health outcomes – neighbourhood make up, neighbourhood location, infrastructure, environmental concerns, etc."
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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