PHDA testimonials

I learned about the PHDA program through researching continuing education certificates focused on population-level health administrative analysis. I was motivated to do so as I am particularly interested in health services research during the end-of-life phase.

Overall, I had a positive program experience. I greatly appreciated the asynchronous format as it allowed me to develop my skills without risking my other professional commitments. I found PHDA05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses. In addition, I found PHDA03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research.

I believe the skills I have learned through this program will be directly relevant to my current research interests. Also, 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.

The collaborative activities throughout the various courses were greatly appreciated, despite the asynchronous format!

Absolutely – the PHDA program is a great program for anyone who is interested in further exploring population-level analyses. For prospective students, I recommend honing on your SAS skills prior to program completion. While not necessary, having prior experience using SAS is beneficial to successfully completing courses.

Overall, my experience was largely positive. The instructors are very knowledgeable and accessible to students, and the program staff are always helpful!

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.

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!