PHDA testimonials

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.

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.

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.

The collaborative activities throughout the various courses were greatly appreciated, despite the asynchronous format!

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.

Overall, my experience was largely positive. The instructors are very knowledgeable and accessible to students, and the program staff are always helpful!

My MSc supervisor recommended them based on the learning goals I had for my Master’s degree. UBC doesn’t offer anything like it, so we needed to look for partner institutions.

I completed the PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection courses. By taking these courses, I developed an understanding of how to overlay multiple sources of data onto a geographic region (from city, to country, to continent). I developed an understanding of questions to consider in how I represent this information to the audience, so that bias in how it is represented is minimized. 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.

As part of my thesis.

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 SRTL and labs made the hands-on learning REALLY effective and stress free. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRTL. The labs were very smooth and impactful.

Yes. I would say that future students should explore the labs as much as possible. To really forefront the learning that you get out of that. The lecture material and prep material is abstract, but if you can focus most of your time on the labs, you can experiment and learn a lot.