Access to General Practitioners in Metro Vancouver
We analyzed the relationship between general practitioners accepting new patients and the median incomes of municipalities within Metro Vancouver. We also addressed the potential impact population size of a municipality may have on the availability of general practitioners accepting new patients.
Though the maps show that there are less GPs in areas with lower population sizes, this does not necessarily mean there is an inequity of GP distribution. It makes sense that there are more GPs in areas with more people, as there would be a higher demand for them. Further research would have to be done to see if suburban areas (low population areas) have a higher demand for GPs compared to urban areas.
Implications
Our results showed that there is a need for new family doctors with practices in Delta, the District of North Vancouver, and in the Township of Langley. A lack of doctors accepting new patients in one's home municipality will likely require individuals to travel out of their municipality in order to find a GP accepting patients. Walk-in clinics provide patients with primary care, but patients are less likely to make frequent visits. Since adherence to seeing a doctor seems to be associated with the subjective experiences a patient has when visiting a doctor, factors such as familiarity with the doctor may affect whether a patient would go for check ups at a doctor when they are further away to get to.
Currently British Columbia only has one medical school. This can severely restrain the province's capacity for replacing older doctors who are now retiring. The urgency for new family doctors is highlighted since young doctors are choosing to specialize rather than take on a general practice. This is due to perceptions that general practice would entail long work hours with low pay. Not only does this deter medical students from pursuing general practice, but may also discourage young family doctors from working long hours. The consequence of this may be that fewer patients will be served and in turn, discouraging patients from booking appointments to see a doctor due to long wait times. This presents a public health problem where primary care is no longer able to serve the population when as they need it.
Limitations
During our search for GPs accepting new patients, we found that some available GPs worked in the same office building. So when we geocoded the offices on to the map, some white dots were overlapping each other, under reporting the number of available GPs in the municipality. To address these overlapping points, we added a table to the map to list how many different GP there were in each municipality.
We also had problems geocoding the locations of the GP offices. when we ran the addresses through the website, around five addresses were not accurate. An address along Marine Drive, North Vancouver got geocoded into a place in Port Alice. To ensure we had the correct points we cross checked each point in our list to the geocoded results. For addresses that were geocoded incorrectly, we used Google Maps to search for the address of buildings or stores that were next to the GP office.
Another limitation is that the list on the BC College of Physicians website may be out of date. This affects the accuracy of our data for making analysis and recommendations as the data may be over- or under-represented. To solve this problem, we could have called each office to inquire if they were accepting new patients, but that would have taken too much time for this project.
We wanted to do our map based on dissemination areas of Metro Vancouver but as we were looking for data, we could not find median income information by DAs so we chose to do it by municipality instead.
Challenges
We attempted to generate a kernel density analysis but were unable to due to unknown reasons. Here, we hypothesized that the kernel analysis would have provided a visual on the distance that people would have to travel to reach a GP. This would have produced an estimate on access to GPs.
Alternative approaches
We had originally intended to use a Gravity Model to capture a more realistic account of the convenience of accessing GPs. The gravity model takes into account population density and supply and demand. It would have shown a more realistic account of potential access by assuming people would travel across artificial boundaries. In other words, the gravity model takes into account the possibility that people would travel across municipalities to get to a GP.
Other considerations include how we should have been more diligent when tracking our methods and progress as we were going along. It would have saved us time when writing this report so we wouldn't have to keep going back and forth. For the next project, we will know the benefits of keeping our procedures and files organized.
One of the most hotly debated topics regarding the Canadian health care system is the lack of access to general practitioners, and the lack of available general practitioners accepting new patients. Indeed, there is a general sense that the Canadian health care system is unable to provide equitable access to all patients requiring primary health care (PHC) from general practitioners. The media regularly reports on how difficult it is to find a general practitioner, with testimonies from individuals who had to wait years or months before being matched with a physician (Adams, 2005). Currently, there is a considerable body of literature on spatial access to primary health care -- especially for rural and remote regions (Shuurman, 2010). The general consensus states that access is relative to an individual's proximity to primary health care providers (Shuurman, 2010). However, this argument does not capture individual ability to access PHC since those who live in suburban areas may take longer to reach a PHC provider and are unlikely to seek regular care. This may be particularly devastating for those with low socio-economic status (SES), who are shown to not only be less likely to access PHC but have poorer health outcomes as well (Disano, 2010). Furthermore, those who with lower SES are less likely to have access to a vehicle and are more likely to either choose to walk or use public transportation. For individuals whose mobility is impaired, walking or public transportation would be inconvenient.
Within British Columbia there is a marked shortage of physicians, especially young physicians, in suburban or remote regions of B.C. Estimates project that over 220,000 people currently lack a general practitioner and will continue to worsen (Schaefer, 2015). New patients are having difficulty finding new GPs because many doctors already have a full roster of patients (Schaefer, 2015). Evidence suggests that fewer young physicians are choosing general practice (Schaefer, 2015). Young physicians also work fewer hours than older doctors who traditionally worked 50 hour every week (Schaefer, 2015). Furthermore, young doctors are also choosing to practice in urban centers where they can live a particular life style and be surrounded by many economic opportunities (Schaefer, 2015). Additionally, urban centers are more expensive to live in, which means that they are likely inaccessible to those with low incomes. In this case, patients living in an area of predominantly lower SES may have to travel further to urban centers to find a doctor (Shuurman, 2010).
Research suggests that doctors choose to practice in urban centers with high populations compared to suburban areas. Our research project aims to analyze the relationship between the median incomes per municipality and the number of available general practitioners accepting new patients.
One study looked at the relationship between socio-economic deprivation and its association with proximity to general practices in England (Adams, 2005). The researchers deployed the Inverse Care law which predicts that access to good quality primary care is related to affluence. However, their findings suggest that this was not the case. Regions with lower SES turned out to be in better proximity to general practices than affluent regions. However, the researchers noted that this was no indication of good quality care.
Another study measured potential access to primary health care using a modified gravity model (Shuurman, 2010). Researchers noted that there was a difference in access and use of PHC services. Peopl who live farther from doctors are less likely to access and use the PRH services compared to those who lived closer. With the modified gravity model, the researchers demonstrated a more realistic take on access by including the possibility of individuals traveling over census borders to access PHC providers in Canada.
Our study aimed to see if there is an inequity in the availability of general practitioners accepting new patients in relation to median income of municipalities in Metro Vancouver. We took a list of GPs accepting new patients from the BC College of Physicians and geocoded their office address to ArcMap 10.3. Then we added Metro Vancouver municipalities onto our map before conducting our analysis.
Background: This study analyzed the availability of general practitioners accepting new patients with the median income of municipalities in Metro Vancouver
Data Sources: A shapefile depicting the borders of the municipalities of Metro Vancouver was retrieved from a Metro Vancouver open data catalogue on municipal boundaries. Population estimates of each municipality were retrieved from BC Stats, and median income of each municipality was taken from the 2011 Statistics Canada census data.
Methods: Using ArcMap 10.3, the Metro Vancouver municipality map was edited and the municipalities of Anmore, Belcarra, Bowen Island, Electoral Area A, Lions Bay, and Tsawwassen First Nation were excluded. This was done because we wanted to examine the major municipalities of Metro Vancouver. Following this, the addresses of general practitioners within the Metro Vancouver area that are accepting new patients were geocoded (cite) and projected onto the map via XY data display and adjusted to the WGS 1984 Geographic Coordinate System.
Results: Findings showed that there were no available general practitioners (GPs) in Delta, Township of Langley, and District of North Vancouver. Available GPs were mostly found along main roads. Scatter-plot analysis showed no relationship between median income per household and available GPs (r-value 0.0987). However, results in the scatter-plot analysis also showed that there was some association between population size and GP availability (r-value 0.8211).
Conclusion: This study found no associations between median income and GP availability. However, an analysis between population size and GP availability found an association between the two. A Gravity model of analysis may be useful for future considerations to provide a more accurate depiction of potential accessing of GPs. Since the BC college of physicians does not frequently update their list of available GPs, this study may need to be replicated again in the future to depict a more current GP availability.

Abstract
Results
Recommendations

Discussion
Methods
Background
Data
GIS Analysis
Using ArcMap 10.3, a map of the municipalities of Metro Vancouver was downloaded then edited to exclude the municipalities of Anmore, Belcarra, Bowen Island, Electoral Area A, Lions Bay, and Tsawwassen First Nation. This was done because we wanted to examine the major municipalities of Metro Vancouver. Following this, the addresses of general practitioners within the Metro Vancouver area that are accepting new patients were geocoded through the B.C. Physical Address Geocoder website. Then the addresses were plotted on the map as XY data and adjusted to the WGS 1984 Geographic Coordinate System.
Methods
To generate our map, we produced a base map of Metro Vancouver by clipping around a map of Greater Vancouver. The BC College of Physicians and Surgeons website has a list of general practitioners in B.C and has the option to specify for GPs accepting new patients in certain municpalities. We accessed this information and searched for the addresses of those GPs who are accepting new patients. From here, we compiled a list of addresses onto an Excel spreadsheet before converting it into a CSV file. The locations of these GPs accepting new patients were geocoded were converted into X and Y values that could be added to the map. This produced XY data which displayed the locations of these GPs as point data. The product of the steps so far would later become the base for our map.
For our analysis, we added population size data and median income per household data, retrieved from BC Stats and Stats Canada respectively. Population size data for each municipality was added to attribute tables. An additional column was added to this attribute table for the median income of each municipality. We used this data to do further analysis.
Two maps were generated for our study. The base map for both displayed the locations of available general practitioners with white circular points. The first map displayed a gradient from red to green to illustrate median income per household for each municipality. Red was chosen to show a median income level that is higher on the gradient, as opposed to green which would denote a lower median income on the gradient. The second map was used to illustrate population size along a red to green gradient. With red displaying a higher population, to green, which illustrates a lower population size. We chose distinct colours to identify the disparities in median income and population size to make it easy for the class to extract information from it during our presentation. For analytical purposes, we added major roads and highways (excluding ramps) of Metro Vancouver to our maps to see if there was a trend of available GPs by major roads and highways.
To produce a scatter-plot analysis, we converted the data on our attribute tables into a dbf file and imported it into an Excel spreadsheet. Then we conducted our analysis using the R^2 and trend line features to determine if there was a relationship between (1) median income per household and available GPs and (2) population size and available GPs.
Data Sources
A shapefile depicting the borders of the municipalities of Metro Vancouver was retrieved from a Metro Vancouver open data catalogue on municipal boundaries (Metro Vancouver (2016). Population estimates of each municipality was retrieved from BC Stats website (BC Stats, 2016), and median income of each municipality was taken from the 2011 Statistics Canada census data (Stats Canada, 2011).
Public Health Recommendations
-
Incentivize young family doctors to practice in rural regions of Metro Vancouver, including Delta, and Township of Langley who currently have no available general practitioners accepting new patients.
-
Fund medical schools to be able to train more incoming doctors
-
Subsidize the education of doctors choosing a general practice
-
Hire more international doctors (immigrants) who meet proper medical qualifications to practice in Canada.
![]() | ![]() | ![]() |
---|---|---|
![]() |
Main Findings
In the first map, there are fewer available GPs in the red areas (high median income municipalities) compared to the green and orange areas. Majority of the available GPs are seen in Vancouver and Surrey, which belong to different median income categories.
In the second map, there are more available GPs in the areas with higher population sizes. Vancouver and Surrey have the most available GPs (36, as we can see from the table). As the populations get smaller (orange to yellow to green categories), there are less available GPs in the area. In Delta, Township of Langley, and District of North Vancouver there are no available GPs. As Metro Vancouver residents, we know this is due to those areas being predominantly green spaces, farming areas, or industrial lands. Those 3 municipalities have less residential areas compared to other municipalities such as Vancouver and Surrey. From the maps we can see that the available GPs are mostly along main roads, which makes it convenient to access due to public transit running along those main roads.
Based on the scatter plot for median income the R-value is 0.0987, indicating that there is no relationship between median income per household and available GPs in Metro Vancouver. However, the scatter plot for available GPs compared to population size of municipalities showed a high r-value of 0.8211. This means that there is a correlation between the two variables. The larger the population size gets, the more available GPs there are in the municipality.
About
Authors: Donald Wong, Gabriel Canizares, Johnny Tsang, Pamela Tumbocon
Published: April 7, 2017
Click the image to enlarge
References
Adams, J., & White, M. (2005). Socio-economic deprivation is associated with increased proximity to general practices in england: An ecological analysis. Journal of Public Health (Oxford, England), 27(1), 80-81. doi:10.1093/pubmed/fdh210
BC Stats Ministry of Technology, Innovation, and Citizen’s Services, Government of British Columbia. (December, 2016). British Columbia Municipal Population Estimates 2011-2016.http://www2.gov.bc.ca/gov/content/data/statistics/people-population-community/population/population-estimates
Disano, J., Goulet, J., Muhajarine, N., Neudorf, C., & Harvey, J. (2010). Socio-economic status and rates of hospital admission for chronic disease in urban canada. Canadian Nurse, 106(1), 24.
Metro Vancouver. (November 18, 2016). Municipal boundaries.http://www.metrovancouver.org/data
Schaefer, G. (2015, April 05). Long wait for a family doctor for thousands of British Columbians. Retrieved April 07, 2017, from http://www.timescolonist.com/news/local/long-wait-for-a-family-doctor-for-thousands-of-british-columbians-1.1814577
SCHUURMAN, N., BÉRUBÉ, M. and CROOKS, V. A. (2010), Measuring potential spatial access to primary health care physicians using a modified gravity model. Canadian Geographer / Le Géographe canadien, 54: 29–45. doi:10.1111/j.1541-0064.2009.00301.x
Stats Canada National Housing Survey (2011). Household Income - Average Income and Median Income 1991-2011 [Data set]. http://www.metrovancouver.org/services/regional-planning/PlanningPublications/AverageandMedianHouseholdIncomebyMunicipality.pdf