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Human resources

Human resources

In many areas, New Brunswick has more health professionals per capita than the national average. Despite this fact, New Brunswick is not producing better health outcomes than some other provinces where fewer health professionals practice. This signals that the challenge with human resources is not simply in increasing the count, but in better employing professionals (practicing to the full scope of their skills) and deploying them to match the local needs of our citizens.

More health professionals in New Brunswick than the national average

For several health professions, New Brunswick has more resources per capita than the Canadian average. The following graph compares human resource levels between New Brunswick and Canada.



Variability in the number of health professionals within New Brunswick

The number of health professionals also varies greatly within the province, but this variability does not appear to reflect a planned approach to meeting the changing needs and demands of the regional populations. It's important to note that there are areas/zones in the province that produce better results despite having fewer health professionals.


Health professional full-time equivalent (FTE) rate per 10,000 by zone
(Public health professionals who provide services within regional health authorities, excluding management and operational support)

Click on a profession to refresh map and graph.


General practitioners



Other health professionals

















Sources:
1) Human Resource Database (HRDB), Meditech 2013
2) Statistics Canada, Census 2011
Note 1: Full-time equivalents for Centracare and Centre Hospitalier Restigouche have been removed from all counts
Note 2: Higher staff counts do not imply an excess of staff. Full-time equivalent rates are influenced by the number of hospital beds that are required to operate and by specialty (tertiary) services available in the zone/region. In addition, more staff may be required based on context of the zone/region such as volume of seniors, chronic diseases, low income population, etc.



Related data