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 learned about the program while pursuing work at the BC Cancer Agency.  It was good timing as I was not sure about my professional development plans for that year. I saw the program as a good opportunity to development new skills I could use in my work where I have a Population Health related role. Although I have experience in this area, I had no formal training working with layered data sets. The Working with Administrative Data course outline looked good as it included making a data dictionary and use of admin data; the other courses looked very relevant to my work needs too.

I decided to take the program as I was looking for in-Canada certificate level courses I could take to further advance my knowledge in preparation to pursue further graduate level training. As a research coordinator based in Kelowna, I did not have many local professional development opportunities in the area of population health so the online structure of the program was very beneficial for me.

Overall the program was really a very good experience. The courses I took included: PHDA 01 Working with Administrative Data, PHDA 02 Epidemiological Statistics, PHDA 03 Population Health and GIS and PHDA 06 Health Services Program Monitoring and Evaluation. I wouldn’t rate one course as better than the other as I feel they all contributed very well to my overall learning. I am happy that I took PHDA 01 before PHDA 02 as I didn’t have strong SAS skills and PHDA 01 includes an introduction to SAS skills from the very beginning. I would therefore recommend that if people don’t have SAS experience they should take PHDA 01 before PHDA 02. I also found that PHDA 06 was one of the most practical courses. I was able to apply the skills that I was learning to a program evaluation that I was leading within the Infection and Control Department at Interior Health Authority. Being able to directly apply the knowledge I was gaining in the course made an amazing difference to my skill development. Overall, it was a great learning experience and really provided valuable overarching guidance to my work. It supported my work in finalizing a questionnaire for stakeholders and reporting findings to Interior Health.

One of my ongoing projects at work involves assessing trends in surgery wait times for lung cancer patients. This work involved analysis of local data as a pilot project looking for trends in regional variations; I used techniques learned in PHDA 01 to facilitate this analysis.

I also found the PHDA 02 Epidemiological Statistics course really assisted my skill development in multivariate modeling. Similarly, 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 these two courses 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.  For example, I was involved with a study that looked at using internet technologies as a means of following up with patients that had been treated with radiation for their prostate cancer. 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. Our project showed that internet based means of health monitoring might be a feasible option, although participation rates were much lower in regional areas with limited access to high quality wireless internet connectivity. The analysis would have been much more difficult without the skills that I had learned in the PHDA program.

Anyone looking to build on their experience in Population Health in a practical sense or those working in the field would find this program an excellent opportunity. I would also recommend the program to those working on their Masters or PhD’s in areas of Population Health. I found the structure of the program was good. The workload wasn’t more or less than I expected. If individuals haven’t taken an online course before, they may feel a heavier workload initially. I think the 12 week time frame for each of the courses was good.  Extending the time beyond 12 weeks could get confusing and less than 12 weeks would not be enough time to cover all the course content adequately. For myself, I was very glad to complete the certificate within one year.

I would definitely recommend this program to others interested in working in this field and I have recommended the program to several individuals, including graduates pursuing a career tract in health analytics and medical statistics/epidemiology.  For those with an interest in health analytics and with a technical background in computer science, I think the PHDA courses can support the development of more practical and applied clinical tools and skills. For those with an interest in epidemiology or health services research, the teaching on use of large databases and study design was very informative.  In addition, the PHDA 06 course assists with learning useful skills for individuals wishing to transfer from a clinical to an administrative or quality improvement role.

For those who are interested in applying to the program, I would recommend that they look at the course outlines and choose ones that are relevant to their work place or educational needs.  For those working on their PhD’s or Masters, they could look into how some of the courses might be able to be part of their studies. I think for graduate students, many of the courses could be really helpful. It is a unique program for individuals working in British Columbia as it enables individuals to use BC specific data.

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!