"I would recommend the program to working professionals, researchers, and graduate students.
The program had many strengths including: excellent, experienced instructors for each of the courses; use of fellow students as peers to give feedback on assignments (this was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring); and discussion forums that promoted exchange of information amongst students using real life examples".
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).
"The GIS courses, PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection provided the greatest benefits. They were excellent and introduced brand new skills for me. Prior to taking these courses I had some brief exposure to GIS within my Master’s program and through the free online PopData courses. The PHDA 03 and PHDA 04 course labs were very detailed and instructional, offering good balance between theory and practice. The courses generally had enough materials I could take away to continue working independently."
"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 found PHDA 03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research. 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. "
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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