Medical Workforce Knowledgebase metrics
The original raw numbers for each data source are provided to the user in a centralized, tabular format. A series of metrics or summary statistics are also produced for each data source in order to provide the user with comparable estimates either 1) across data sources for a particular specialty, or 2) between different specialties in the same data source.
Each specialty must have the complete five years of data in order to calculate the metrics and summary statistics. However, if there is less than five years of data in a particular specialty, basic count data is still provided.
For disciplines with small numbers (i.e., those with fewer than ten physicians for three out of five data years) counts are shown but summary statistics are not calculated. Small discipline counts are included in subtotals and grand totals as well as their associated summary statistics.
Overall change (%) – This metric is calculated as the percentage change between the latest data year and the earliest year data year.
Example: CAPER New Trainees - Pediatrics (2010 = 148; 2014= 155)
Overall Change (%) = ((155-148)/148)*100 = 4.7%
Slope of change (5-year trend line) – The slope value represents the annual rate of change in the applicable numbers for the data series over the time period covered by the series.
The trend line is the slope of the straight regression line through the data points, where the applicable numbers for the data series are known y values (vertical axis) and years are known x values (horizontal axis). Negative slope values represent a generally decreasing trend. Positive slope values represent a generally increasing trend. A slope value of zero (0) describes a horizontal regression line, or no upward/downward trend in the applicable data source.
Slope values are classified as “UP”, “DOWN” OR “NO CHANGE” based on their relative position among all slope values for the applicable data source. For each data source, 10% of disciplines are classified as “NO CHANGE”; those with slope values close to 0. Disciplines with slope values above the “NO CHANGE” region are labeled as “UP” and disciplines with slope values below the “NO CHANGE” region are labeled as “DOWN”. Thus, for each data source, disciplines are classified as having an upward, downward or no change growth trend.
Average change (%) – This represents the year-over-year percent changes that are identified for each applicable data source.
It is calculated by utilizing the previously determined slope value and dividing it by the average of all applicable raw numbers for the data source over the five year period used to calculate the slope.
Example: RCPSC/CFPC New Certificants – Internal Medicine (Slope = 25.7; Avg. New Certificants = 433)
Overall Change (%) = (25.7/433)*100 = 5.9%
Per cent of physicians less than 35 years of age [Licensed Physician Workforce (CIHI) Only] – This metric provides a reference to the percentage of the workforce that is comprised of relatively younger physicians.
It is calculated by dividing the number of physicians less than 35 by the total number of physicians in the workforce (where age is known).
Example: CIHI Licensed Physician Workforce – Radiation Oncology (# of physicians < 35 = 70; total physicians = 522) % of physicians aged <35 = (70/522)*100 = 13.4%
Per cent of physicians equal to or greater than 65 years of age [Licensed Physician Workforce (CIHI) Only] – This metric provides a reference to the percentage of the workforce that is comprised of relatively older physicians.
It is calculated by dividing the number of physicians aged 65+ by the total number of physicians in the workforce (where age is known). Note that 65 is not linked to retirement projections as a number of physicians work well beyond that age.
Example: CIHI Licensed Physician Workforce – Orthopedic Surgery (# of physicians 65+ = 275; total physicians = 1,557) % of physicians aged 65+ = (275/1,557)*100 = 17.7%
Relative Age Ratio [Licensed Physician Workforce (CIHI) Only] – The relative age ratio is used as a metric for the age distribution of the licensed physician workforce.
This metric is calculated by dividing the number of licensed physicians <35 years of age by the number of licensed physicians that are 65+ years of age. If the ratio is less than 1.0, this indicates an OLDER workforce. If the ratio is equal to 1.0, this signifies a workforce with an EQUAL distribution of younger and older physicians. If the ratio is greater than 1.0, this indicates a YOUNGER workforce.
Example: CIHI Licensed Physician Workforce – General Surgery (# of physicians <35 = 234; # of physicians 65+ = 338) Relative Age Ratio = (234/338) = 0.7