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An examination of difficulties accessing surgical care in Canada from 2005-2014: Results from the Canadian Community
Jordana Liyat Sommer1,2, Edward Noh3, Eric Jacobsohn1
1Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.
Background:
Difficulties accessing surgical care (e.g., related to wait times, cancellations, cost, receiving a diagnosis) are understudied in Canada. Using population-based data, we studied difficulty accessing non-emergency surgical care, including (1) the incidence and annual changes in incidence, (2) types of difficulties, and (3) associated factors (e.g., sociodemographics, surgery characteristics).
Methods:
Cross-sectional data from the Canadian Community Health Survey annual components were analyzed from 2005-2014. Weighted frequencies established the annual incidence of difficulty accessing surgical care, and total incidence of types of difficulties. Chi-square analyses, independent samples t-tests, and a multivariable logistic regression examined sociodemographic and surgery-related characteristics associated with difficulty accessing surgical care.
Results:
Among individuals who required past-year non-emergency surgery between 2005-2014 (weighted n = 3,052,072), 15.6% experienced difficulty accessing surgical care. The most common difficulty was "waited too long for surgery" (58.5%). There were significant differences in the incidence of difficulty according to year (Χ2 = 83.50, p < .001) from 2005-2014. The incidence of difficulty accessing surgery varied according to sex (Χ2 = 4.02, p < .05), surgery type (Χ2 = 96.09, p < .001), party responsible for cancellation/postponement (Χ2 range: 4.36-19.01, p < .05), and waiting time (t = 10.59, p < .001). In particular, males, orthopedic surgery, and surgery cancelled by the surgeon or hospital had the highest rates of difficulty.
Conclusion:
Results provide insight into the difficulties experienced by patients accessing elective surgery, and the associated factors. These results may inform targeted healthcare interventions and resource reallocation to reduce these occurrences.
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