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CANADIAN JOURNAL OF ANESTHESIA
University Departments of Anesthesia (ACUDA) com-
missioned a study to assess future requirements, with suf-
ficient lead-time to adopt policies directed towards
ensuring an adequate future supply of anesthesiologists.A
This report is the first of two publications derived
from the comprehensive human resource planning
(HRP) model designed specifically for the specialty of
anesthesia.4 This HRP model uses an innovative
methodology that includes a means of quantifying the
‘units of service’ delivered. The full report is available at
/acuda/en/ryten.html). Unlike other HRP mod-
els,1–3,5 this methodology includes population demo-
graphics (e.g., age and gender) in the calculation of the
required number of full-time equivalent (FTE) anesthe-
siologists. It is widely recognized that consumption of
health care resources varies with patient age and gender,
yet, most planning models do not include the influence
of these factors in quantifying the future demand for
anesthesia providers.1,3,5
performed it and demographic data on the patient to
whom the service was delivered. It is the inclusion of
the patient demography along with the other infor-
mation that makes RAMQ a valuable data source for
health services research. The RAMQ research depart-
ment prepared statistics under contract to describe
what services anesthesiologists provide, billings for
these services and the demographic characteristics of
the patients served. These data covered all anesthesia
services delivered over an entire year (1998–99). All
services were included even if non-anesthesiologists
delivered them. From the database, members of the
Association des Anesthésiologistes du Québec (AAQ)
classified more than 2,000 anesthesia services into
analytically useful groupings. The classification was
designed to enable a detailed measurement of the
work of anesthesiologists and thus, distinguish
between the surgical and non-surgical activities. This
permitted an analysis of changing rates of utilization
for specific services. Total expenditures on these anes-
thesia services for patients in each of 18 age/gender
categories were used as a proxy for the ‘units of ser-
vice’ provided for each group. The validity of using
dollar values as a measure of ‘units of service’ is only
possible if the time spent in providing equivalent ser-
vices is comparable. Because time is an essential ele-
ment of the “resources” used for anesthesia billings,
this seemed warranted.
The HRP model was based on an analysis of billing
data from Quebec, which was used to estimate the
‘per capita’ consumption of anesthesia services by each
demographic group. In this article, we provide an
overview of the model and use data derived from the
report4 to illustrate its use to estimate the future
demand for anesthesiologists in each province.
Methods
Rationale and description of model
Statistics Canada provided population estimates for
each province. These population estimates projected
the age and gender (demographic) characteristics of the
population for 2016. The Statistics Canada projectionsB
assumed general rates of immigration, emigration,
internal migration between provinces, birth and death.
These projections included four potential population
scenarios for each province: a low, medium and two
high growth scenarios. Analyses based on all projections
are available in the full report,4 however in this article,
we detail only one growth scenario for the year 2016
(termed the “high 2” projection in full report). This
scenario was chosen as it seems representative of rea-
sonable growth-rate projection, although all projections
may be unreasonably low. Interested readers are
referred to the full report for other scenario options.4
The underlying rationale for this HRP model, devel-
oped by E. Ryten,4 differs from general physician
workforce models in that the variables included specif-
ically deal with the demand for health care services
delivered almost exclusively by anesthesiologists. The
model consists of two major segments, one that calcu-
lates the future demand for anesthesia services and
another that anticipates future supply under a variety
of conditions. This article deals with segment 1, the
future demand for anesthesia services in Canada.
Data sources
The billing agency of the province of Quebec, the
Régie de l’assurance maladie du Québec, (RAMQ)
maintains a data system that records all acts/health
care services for which a fee is paid. The record
includes the specific medical act that was performed,
the dollar value paid for the act, the physician who
Validation of the model
Comprehensive billing data were also obtained from
the database of the Ontario Health Insurance Plan
A
Anesthesiologist refers to a physician who has Royal
B
College of Physicians and Surgeons of Canada (RCPSC) certifi-
cation in anesthesiology or is recognized as a specialist in
his/her own province.
Statistics Canada. Estimates: vital statistics and popu-
lation estimates, demography division. Projections: population
projections section, demography division, September 1999.