8 research outputs found
Using decision trees for measuring gender equity in the timing of angiography in patients with acute coronary syndrome: a novel approach to equity analysis
Abstract
Background
Methods to measure or quantify equity in health care remain scarce, if not difficult to interpret. A novel method to measure health equity is presented, applied to gender health equity, and illustrated with an example of timing of angiography in patients following a hospital admission for an acute coronary syndrome.
Methods
Linked administrative hospital discharge and survey data was used to identify a retrospective cohort of patients hospitalized with Acute Coronary Syndrome (ACS) between 2002 and 2008 who also responded to the Canadian Community Health Survey (CCHS), was analyzed using decision trees to determine whether gender impacted the delay to angiography following an ACS.
Results
Defining a delay to angiography as 1Â day or more, resulted in a non-significant difference in an equity score of 0.14 for women and 0.12 for men, where 0 and 1 represents perfect equity and inequity respectively. Using 2 and 3Â day delays as a secondary outcome resulted in women and men producing scores of 0.19 and 0.17 for a 2Â day delay and 0.22 and 0.23 for a 3Â day delay.
Conclusions
A technique developed expressly for measuring equity suggests that men and women in Ontario receive equitable care in access to angiography with respect to timeliness following an ACS
Queueing for coronary surgery during severe supply-demand mismatch in a Canadian referral centre: A case study of implicit rationing
Queues for in-patient surgery are commonplace in universal health care systems. Clinicians and hospitals usually manage these waiting lists with informal criteria for determining patient priority--a form of implicit rationing. To understand the workings of implicit rationing by queue, we took advantage of a natural experiment in the Canadian province of Ontario. Unprecedentedly severe supply-demand mismatch led to long waiting lists for coronary surgery [CABS] in Ontario during 1987-1988. The crisis was resolved by increased funding and widespread adoption of a multifactorial clinical index for patient priority that was developed by an expert panel in 1989. Thus, we audited randomly chosen charts of patients who underwent coronary angiography at four Toronto hospitals during the crisis period, and calculated urgency scores for each case based on the multifactorial index. From 413 charts, 193 eligible patients were identified who proceeded to CABS. Waiting times did correlate with urgency ratings (r = 0.42, Prationing coronary artery bypass surgery coronary revascularization waiting lists health policy