"PHDA 06 Health Services Program Monitoring and Evaluation course was a bit different as it did not have an SRTL lab component. I had taken a very similar course within my Master’s degree but it wasn’t as applied as the PHDA 06 course which had a very practical project component. I found the instructor’s experience and feedback as well as the peer review work really enabled me to get a lot out of the course evaluation project I completed."
"The PHDA 03 Population and GIS course provided me with a skill set that I would have had difficulty learning on my own. I was able to apply training from this course and the Epidemiological Statistics course (PHDA 02) to some of my current work that is assessing how we can improve quality of life related follow-up for British Columbian cancer patients after they have received their treatment. We were interested in seeing how follow-up for British Columbian patients differs with different levels of access to resources based on their geographical location. The analysis would have been much more difficult without the skills that I had learned in these two courses."
"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. "
"Both the PHDA 03 and PHDA 04 courses 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."
I had completed my master’s in Public Health and was looking for training that would supplement my degree. In particular, I was interested in learning new skills in data analysis. A colleague had mentioned the PHDA program to me some time ago. Through a Google search, I found the program details and it looked like a good fit for me.
I enjoyed all the courses. In particular, I found the GIS course very interesting and fun as I had never worked in this subject area before. I also benefitted from learning new SAS skills in other PHDA courses. Prior to taking the program, I had no knowledge of SAS. I think I enjoyed the PHDA 06 Health Services Program Monitoring and Evaluation course the most. Although I had taken an evaluation course in my Master’s program, I found the PHDA 06 course very good at clarifying information and dividing the evaluation process into very practical/applied steps/stages.
I plan to apply my new skills within future job/research projects. I am very interested in pursuing employment opportunities in the area of program planning and evaluation. I have had an interest in this area for some time and the PHDA 06 course really solidified my desire to work in this area.
The instructors were all very knowledgeable and experienced. They really supported students through engaging conversations and encouragement for our work assignments. Courses like the PHDA 03 Population Health and GIS provided step by step directions and support. The PHDA courses catered to both beginner students as well as those with experience in the field. Instructors were always willing to provide extra resources and support – the courses were never boring! The program support and general design also supported student needs too.
Yes, I would definitely recommend this program to others. I would like others to know that both the course content and expertise of instructors provides a great learning experience.
I had never done an online course before taking this program. I found the online environment provided a good learning experience. Both the Moodle and Secure Research Training lab environments worked well for me.
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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