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.

Prior to coming to Canada, I had worked in the area of math and statistics. When I moved to Canada I pursued work in Data Management and then became particularly interested in the field of data analytics for health services. As a result, I searched online for a related program in this area and found information on the PHDA program. I had taken previous training courses in business and data analytics so the PHDA program seemed like a perfect way to expand my knowledge and skills within the field of population health.

The Working with Administrative Data (PHDA 01) course was a perfect course for me. It gave me a good introduction to the field of Population Health and provided a good refresher for my SAS skills.

The Epidemiological Statistics (PHDA 02) course was a fair bit of review for me as I have a strong statistical background. As a result, the health specific focus of the course and related terminology provided the greatest value to me.

The Population Health and GIS (PHDA 03) course was the most interesting but also the hardest course I took due to the project work and data management skills that were involved.

As I am now working in the healthcare field, I feel the health terminology and related analytic work I completed in the program have been helpful in my current workplace.  In particular, I am using some of these skills in my reporting projects. Within the next couple of years I also expect that my work will be incorporating more geospatial skills so the foundation skills I have learned in this area will also be beneficial.

I feel this is a very unique program that combines the use of data analytics, statistical software and focused learning objectives related to the field of health. I also appreciated the fact that it was a fully online program with well-organized lectures, readings and remotely accessed lab work in health data analytics.

Yes, I would definitely recommend the program to others.

Overall the program was very helpful to my knowledge and skill development in the field of healthcare analytics.  The program exceeded my expectations particularly because of the remotely accessed data analytic lab work that was more challenging than I anticipated. This work was very practical and very much oriented to real life case examples. The calibre of students in my courses was also very high as most were working professionals who brought valuable experience and knowledge to the discussion forums and project work.

I learned about the PHDA program from the Director of the Social Dimensions of Health while I was taking the program at UVic. I was interested in the PHDA courses as a way to expand my skill set, enhance my knowledge of statistical software programs and gain practical skills to assist me with my PhD dissertation.

I enjoyed all the courses and the practical skills they provided especially with statistical software such as SAS, Mplus, and ArcGIS. I think I gained the most benefit from the PHDA 05 course and the PHDA 03 course. The PHDA 05 in Longitudinal Analysis and Multilevel modeling helped me gain skills in Mplus software and get an introduction to modeling. This work was very helpful in preparing me for a more advanced longitudinal modeling credit course I took at UVic last year. The PHDA 03 course in Population Health and GIS introduced me to a brand new subject area as well as practical skills in the use of ArcGIS.

I have been able to use the applied skills I learned in my role as a research assistant to help with grant applications. I will also be able to use these skills in the development of my dissertation. I plan to document the statistical software and analytic skills I have learned in all the PHDA courses on my CV. I know these skills will make me more marketable for future job opportunities.

The program has given me valuable skills and practice in a variety of statistical software. The PHDA program team including professors, IT and admin staff were all very helpful and a very supportive part of my program experience. I also enjoyed studying with fellow colleagues who had a broad range of work and research skills. The calibre of student in all my PHDA courses was very impressive and many were very willing to share their knowledge and analytic expertise. For this reason I really benefited from the partner and group work in many of the courses. Although the online format of the courses came with some weakness (as you don’t get to connect with people in person), I really appreciated how the asynchronous delivery provided flexibility to work and take courses at the same time. I also appreciated having transcripts of all the course video presentations for easy reference.

I have and do recommend this program to others. Some of my colleagues, whose work focuses more on qualitative rather than quantitative data, are a bit intimidated to consider the PHDA courses. For others who feel the same way I would certainly recommend Working with Administrative Data (PHDA 01) as a course that any research student would benefit from. I would also suggest that program applicants try to take PHDA 01 and PHDA 02 prior to PHDA 05. Although you can take courses in any order, I found the PHDA 05 course in Longitudinal Analysis and Multi-level modeling to be the most advanced level PHDA course I took.

I was looking at programs that were more data-oriented because my data skills were not quite high enough to get a good data-centric job. So, while I was finishing my MA, I figure PHDA would serve me well. Plus, the tuition was much lower because I was a student!

I found the Working with Administrative Data (PHDA 01) was a good course. It was less intensive and slower paced than the other PHDA courses. I took this course last because of my time frame for completing four courses. It would probably have been better to take this course earlier on.  The Population Health and GIS (PHDA 03) course was the most interesting course I took. The labs were easy to follow and I enjoyed the final project.  When I first enrolled in the program, I thought that PHDA 01 and PHDA 03 would be the most valuable courses for my skill development but in the end it was the Health Evaluation and Program Monitoring (PHDA 06) course that 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 just started working after graduation, but so far, I have applied evaluation skills that I learned from the Health Evaluation and Program Monitoring (PHDA 06), including logic models, evaluation methodology, gantt charts and interview guides. My current role, as an Evaluation Lead, will also include some data analysis, so the Working with Administrative Data (PHDA 01) and Epidemiological Statistics (PHDA 02) courses will be helpful for that too.

I think the BC-specific focus is the main strength. I came out understanding more about the data available to help with BC-specific health policy. Perhaps, this doesn’t help attracting students outside of BC, but is great for our province’s capacity for good health decision making.

I have recommended this program to others. However, I also warned them that it was a lot of work – especially Epidemiological Statistics (PHDA 02). I think my estimated hours per week for this course were at least 15.  I also found the group work in PHDA 02 more time consuming than the other PHDA courses.  The work in the Secure Research Training Lab (SRTL) can also increase the amount of time you need to spend on the courses depending on group work or your knowledge of the subject matter.

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).