PHDA testimonials

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.

I first heard about the PHDA program through the PopData e-news updates (i.e., regular emails sent through their listserv with various announcements). The courses seemed relevant to my work as a health services researcher, and the testimonials from previous students seemed positive and relatable. The fact that the PHDA program qualifies for CIHR funding as part of their Professional Advancement Award really motivated me to enroll in the program.

I enrolled in four courses, offered continuously between fall 2014 and September 2015. 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. The other two courses I took (PHDA-02 Epidemiological Statistics and PHDA-03 GIS and Population Health) were both very interesting and informative. PHDA-02 provided me with a good statistical overview as it relates to the health sciences, and PHDA-03 introduced me to a completely new system for me – GIS – and taught me how I can supplement some of my research with consideration to health geography.

I have been able to use the skills learned about data management using SAS directly in my current research projects. I’ve been able to share some of the knowledge gained in the PHDA-05 course with colleagues who are working on projects that require analysis of longitudinal data.

I found a strength of the program to be the engagement of the other students, who are usually all from diverse backgrounds with varying levels of experience with the content. It was helpful to learn from each other. The course workload was also quite manageable for those who are working full-time. The teachers also all seemed knowledgeable and passionate about the topics, and were willing to help students answer their questions or provide assistance for the course projects.

I would recommend the program to others who are interested in building on their data analytic/ population health expertise. I would suggest budgeting in the time to read through the course materials and do the extra labs that are provided – it always takes longer than you think it will!