PHDA testimonials

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 browsing for the statistical method (longitudinal analysis) on the Google website as it related to a project I was doing at work. Then, I found the course (PHDA05) on the search results. After reviewing the program description, I found the program included many courses that I was most interested in. The course lab components were particularly attractive as they enabled me to practice with various statistical software including SAS, ArcGIS, and Mplus and work with actual health administrative data.

Overall, the course(s) experience was great. The greatest benefit to me was learning about GIS and practicing the learning through lab assignments with ArcGIS in the PHDA 03 course. Meeting classmates online with diverse backgrounds/experience, sharing ideas and learning from each other on the various topics was another valuable experience. Often, I was inspired by many of my classmates who were passionate about the topic that we were asked to discuss in the discussion forum. They brought their real-life examples from school and work. Just by reading other students’ thoughts or comments motivated me to participate and helped me learn and digest concepts in different ways.

Personally, I haven’t had a specific chance yet to apply  what I’ve learned through the program. In the near future, I hope that there is a chance for me to learn more about GIS and use ArcGIS by applying what I’ve learned from The Population Health and GIS course (PHDA 03). With only one course of completion in GIS, I don’t have enough confidence with ArcGIS skills I learned to complete a GIS related work project on my own at this point.

Personally, I benefited by having 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.

Yes, 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 found the Moodle course site was well organized with good technical support. The instructors were also very helpful.

My thesis supervisor told me about the program. My thesis project involved the analysis of Alberta Health’s administrative data on influenza vaccination and I needed to have a working knowledge of the tools of administrative data.

The courses were quite intensive but they provide the analytic tools that were complementary to the course experience I gained in my graduate program. I gained evaluation, spatial analytic and advanced analytical skills for modelling health outcomes data. Health Services Program Monitoring and Evaluation, Longitudinal Analysis and Multi-Level Modeling of Population Health Data, and GIS and Population Health were the courses that provided the greatest benefits to me. 

I have actually used the skills I gained in the administrative data course to analyze my thesis data.  I am currently  working on a research project in which I am trying to incorporate the advanced analytical skills I gained in the ‘ Longitudinal Analysis and Multi-Level Modeling of Population Health Data’ course to specify my models. In the near future, I plan to incorporate some elements of spatial analysis into my research work.

The strengths of this program include:

Excellent, experienced instructors for each of the courses. Use of fellow students as peers to give feedback on assignments was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring. Also, discussion forums that promoted exchange of information amongst students using real life examples.

I would recommend the program to working professionals, researchers, and graduate students.

My suggestions for individuals entering the PHDA program would be to prepare for a very intensive program and to avail yourself of  the full range of excellent resources that are available for the program, including the reading materials, the discussion forum, the instructors, the program coordinators, the program lead and the IT online help desk. I found all of them essential to achieving a successful outcome.

I learned about the PHDA program through browsing on web and was motivated to get more training in population health data analysis while working full-time.

Although the course load was a bit heavy at times, I think I’ve learned a lot and developed hands-on experience in analyzing population health data using SAS and ArcGIS.

I have not yet had a chance to utilize all the knowledge and skills I’ve gained in my current work, but definitely have a better understanding of results that are analyzed using ArcGIS.

The strengths of this program include: good organization of coursework, exposure to variety of relevant topics, hands-on experience using several analytical software, excellent support and feedback by instructors, and a flexible schedule.

I would definitely recommend colleagues and others to take this program for further professional development.

My program experience has been great and thank you for all the support I received from instructors and staff members in the PHDA program.