"The PHDA 03 course involved a lot of work, but was structured in a way that it was easy to work through each module. The instructor provided step by step instructions for each module about how to use ArcGIS. By the end of the course, I went from someone with zero experience in GIS to someone who can understand how to interpret maps, basic tools in ArcGIS, and how to apply GIS to public health issues."
"One of the greatest strengths of the program is the access to the Secure Research Training Lab. It holds practical, well written, easy to follow lab activities in data analytics and a very used de-identified BC Heath Dataset as well as other health related training datasets for applied learning. This provided an excellent learning environment for professional development training in data analytics."
"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."
"I found the PHDA 06 was one of the most practical PHDA courses. I was able to apply the skills that I was learning to a program evaluation that I was leading within the Infection and Control Department at Interior Health Authority. Being able to directly apply the knowledge I was gaining in the course made an amazing difference to my skill development. Overall, it was a great learning experience and really provided valuable overarching guidance to my work. It supported my work in finalizing a questionnaire for stakeholders and reporting findings to Interior Health."
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!
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Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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