PHDA testimonials

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 learned about the Professional Specialization Certificate in Population Health and Data Analysis (PHDA) program after conducting an internet search to find an online program covering courses that provided hands on experience using GIS and statistical software packages. Initially, I was doubtful that I would find such a program until I found the University of Victoria’s PHDA program. Allowing students to gain hands on experience remotely with software packages such as ArcMap, SAS, and Mplus while having the flexibility to work full time is invaluable. Also having the opportunity to use Population Data BC’s administrative data with these packages offered a type of learning experience that I could not have had anywhere else.

My current job motivated me to enroll in the PHDA program. I currently work for the Maritime SPOR Support Unit (MSSU) and the New Brunswick Institute for Research Data and Training (NB-IRDT), as a Database Analyst. In my position, I analyze New Brunswick’s population health data and federal government datasets.  By improving my data analysis skills through the PHDA program I am now able to apply these skills in my current position.

I completed all the courses in the PHDA program and enjoyed all of them. I liked the opportunity to interact with my classmates daily and work together to answer questions on course material and statistical analysis. The courses that provided me the greatest benefit were the Population Health and Geographic Information Systems (GIS), and Spatial Epidemiology and Outbreak Detection and Working with Administrative Data courses. As I was completing the Working with Administrative course, the NB-IRDT was just receiving its first health data sets, so having had the opportunity to use BC’s administrative datasets such as the Discharge Abstract Database (DAD) provided me with a first glance at what our provincial data would look like, and how I could manipulate and analyze them.

I have been able to apply the skills I have learned from the PHDA program to my work/research. Using the GIS and SAS skills that I learned from the PHDA program I was able to create a Normalized Difference Vegetation Index (NDVI) layer using GIS software, that showed peak greenness for the entire country over a ten-year period. Using this data and other administrative databases a team of researchers led by Dr. Dan Crouse and myself, conducted a research study that looked at how living by residential greenspace can impact longevity.  Just recently this article was accepted and published in The Lancet Planetary Health (October,2017). In my current position, I have also been able to use the SAS skills that I learned from the PHDA program to create and present an Introductory SAS course to government, students and faculty.

The strengths of the PHDA program were the hands-on learning provided through the use of software that is difficult to access, such as SAS, ArcMap, and Mplus. Another strength of the program was the ability to interact and learn from classmates through the course site and the remote desktop. Also, all the instructors came from diverse backgrounds and were knowledgeable, easy to interact with and offered a wide range of skills and experience, which they were able to share with the class.

I would recommend this program to others especially individuals working in academia, government organizations and to Masters and Ph.D. students. I would suggest that students have a basic understanding of statistical methods, and possibly some experience with statistical software packages. I would also inform someone who is interested in the program that taking the program advanced my knowledge of GIS and SAS, and allowed me to improve the skills needed for my current position. I would also mention to anyone interested in the program that they should ensure that they have dedicated time to put into the PHDA courses every week, so they can get the most out of the course experience.

I really enjoyed this program. It improved my analysis skill for my current job and career. I would recommend this program to anyone who asks about it, and often recommend the PHDA courses to colleagues and other stakeholders that I interact with daily. After informing the organization that I work for about the PHDA courses, we were encouraged to enroll and take the PHDA courses. I am sure that there will be employees at my workplace that will become PHDA students soon.

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!