"The Health Evaluation and Program Monitoring (PHDA 06) course really helped me land a job after graduation. PHDA 06 was different from the other PHDA courses. It felt a bit like a satellite course in the program as it included a health evaluation project rather than data analysis lab work. I learned a lot from the peer review process we used. I have applied evaluation skills that I learned from this course, including logic models, evaluation methodology, gantt charts and interview guides."
"The PHDA 03 Population and GIS course provided me with a skill set that I would have had difficulty learning on my own. I was able to apply training from this course and the Epidemiological Statistics course (PHDA 02) to some of my current work that is assessing how we can improve quality of life related follow-up for British Columbian cancer patients after they have received their treatment. We were interested in seeing how follow-up for British Columbian patients differs with different levels of access to resources based on their geographical location. The analysis would have been much more difficult without the skills that I had learned in these two courses."
"The growing importance of spatial thinking in health policy and epidemiology underscores the immense value of this course for researchers and practitioners alike. As a frequent user of GIS, I found this course to be an indispensable update to both my technical skills and theoretical understanding of health geography and spatial data analysis.
The course material challenged us to think creatively and conduct our own projects with the support of the instructor, while the weekly lab assignments guided us closely through the necessary procedures. Weekly discussions encourage us to discuss issues and themes in health GIS and share ideas, an invaluable experience for learning and networking."
I learned about the program through emails from PopDataBC. I have been following PopDataBC since the organization was introduced to me during my MPH degree at UBC. I was motivated to enroll in the PHDA courses that I chose, because I was not offered the opportunity to take such courses during my MPH. I had a lot of background in epidemiological and statistical theory, with some coding experience introduced through my statistics courses, but not as much practical application of the theory as I would have liked or that I needed for my job.
The courses I have taken so far are Population Health and GIS (PHDA03) and Spatial Epidemiology (PHDA04). Both have made me confident working in ArcGIS, and applying principles of GIS/mapping to population health data and working on spatial analyses. In particular, what has been most helpful about these courses is applying the background theory to surveillance and research questions and walking through the analysis from start to finish, including interpretation of results.
There are two areas that I hope to apply these skills in my work: one is improved visualization of population health data where a geographic component is present and relevant, and another is utilizing methodologies where unstable rates can be smoothed by drawing from the rates of neighbouring geographic areas. Where I work, small numbers are consistently an issue in producing stable and comparable rates.
Strengths included hands-on application of concepts (through the labs), responsive and supportive instructors, and reading materials that helped with learning the concepts. For example, the final projects allowed us to develop a practical research question, clean and analyze the required datasets, produce maps and analyses, and interpret results, which would mirror a typical project in the workplace.
Yes, I would definitely recommend PHDA courses to others. I would suggest ensuring there is ample time outside of your regular job to complete the coursework, as I found the readings were quite time consuming (although very interesting).
"I would definitely recommend this program to my colleagues or others who would like to develop analytical skills and knowledge in data analysis and the use of health data.
I benefited by having an access to various analytic tools and different types/sources of health administrative data. They included a good balance of practice and theory. I did not find these kinds of courses were available to me when I was at University. In addition, I had very practical hands-on practice using statistical analytic tools such as SAS or ArcGIS which are not freely available for public use."
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