Diagnosing and treating Mycobacterium kansasii.

ABSTRACT: This article describes an 18-year-old immunocompetent patient who developed Mycobacterium kansasii, manifested with shortness of breath and a cavitary lung lesion seen on radiograph. Initial sputum smears were negative; however, after 2 weeks, the cultures grew M. kansasii and the patient was started on an antimycobacterial regimen.

Insight into capacity planning for cardiac catheterization services: policy lessons learned from "Looking in the Mirror" over a decade.

BACKGROUND: Cardiac catheterization (CATH) is key in the diagnosis and management of coronary artery disease. Increasing demand coupled with limited resources in a publicly funded system (e.g. Ontario, the largest province in Canada) resulted in a waitlist for this procedure. Our province has recommended maximum wait times (RMWT) for patients referred to CATH. The purpose of this study is to describe our experience over the past decade in attempting to meet RMWTs for patients needing CATH at our centre, and to discuss issues concerning capacity planning in providing timely service. METHODS: We measured the proportion of patients undergoing a procedure within the RWMT, and calculated both the mean number of patients and mean length of time on the wait list for each year over a decade for those referred to CATH using prospectively collected registry data. We identified factors that increased referrals or improved capacity. Wait time was compared to community standard RMWTs in order to establish if and how RMWTs were achieved. RESULTS: Despite a number of systematic and capacity improvements, RMWTs were not achieved until after the addition of a 4th laboratory. INTERPRETATION: Improving access to CATH in our centre was reactive to the increasing need of the community rather than based on anticipation of need and continuity of service within RMWTs. Registry data can help monitor key indicators (e.g. RMWT). Prudent use of this information should help policy makers with future expansion in our region.

Capacity planning for cardiac catheterization: a case study.

BACKGROUND: Excessive waiting for procedures such as cardiac catheterization is an important issue for health care systems. Delays are generally attributed to a mismatch between demand and available capacity. Furthermore, due to the dynamic nature of short-term referral rates, procedure times, and patients' medical urgency, all of which are important contributors to the problem of excessive waiting time, it has been difficult to predict capacity needs accurately. The objective of our paper is to demonstrate how such calculations could be performed. METHODS: After constructing a patient flow model and populating it with appropriate data from 16 consecutive months of operations (n=6215 referrals) of a regional cardiac centre in Ontario, we used computer simulation to simulate the operations of catheterization laboratories in several "what-if" scenarios. We divided the patients into three urgency categories: U1--hospitalized patients, U2--urgent outpatients, U3--elective outpatients. We tested the accuracy of the model by comparing a 1-year sample of computer simulation with actual data which resulted in a highly significant correlation of 0.94. RESULTS: We observed from the referral cohort that waiting times were long, both overall and within each urgency category. We observed from the simulation models that: (1) a one-time infusion of capacity to clear the backlog failed to reduce the waiting times; (2) targeting extra capacity to highest urgency categories reduced waiting times overall and also benefited low urgency patients for whom specific increased capacity was not earmarked; (3) there were no significant effects on waiting times if in some cases patients or referring physicians were able to choose their cath physician; and (4) in situations where the arrival rates increased overall or within specific urgency categories, waiting times increased dramatically and failed to return to baseline for several months to years for the low urgency patients. Efficiency of the labs within the existing capacity could be improved by: (1) reducing changeover time between cases (2) externalizing and standardizing many of the pre- and post-procedural management of the patients, and (3) more carefully balancing the booking to reduce both slack and overtime. INTERPRETATION: Capacity determination is a complex and dynamic process. A combination of available clinical and administrative data, along with a computer simulation model, helps predict capacity needs and is the most appropriate strategy to minimize waiting of patients for procedures. This approach is generalizable and can lead to more effective management of waiting lists for a variety of procedures.

The risks of waiting for cardiac catheterization: a prospective study.

BACKGROUND: Few large, systematic, prospective studies have documented the characteristics and clinical outcomes of patients awaiting cardiac catheterization and the delays that they experience. The primary objective of this study was to quantify the waiting times, morbidity and mortality of patients waiting for catheterization. A secondary objective was to identify predictors of cardiac events that occur while patients are waiting. METHODS: A computerized, prospective, central waiting list registry was developed at a regional centre in Hamilton, Ont., serving 2.2 million people in southern Ontario. Between Apr. 1, 1998, and Mar. 31, 2000, 8030 consecutive patients (4725 outpatients and 3305 inpatients) were referred for cardiac catheterization. Major cardiac outcomes while on the waiting list (death, myocardial infarction and congestive heart failure) were documented prospectively and related to requested versus actual waiting time. RESULTS: Most of the referrals (7345 [91.5%]) were for a primary diagnosis of suspected coronary artery disease. The median waiting time was 6 (interquartile range [IQR] 4) days for inpatients and 60 (IQR 68) days for outpatients. Actual waiting times correlated with the waiting times requested by the referring physicians. However, only 37% of the procedures overall were completed within the requested waiting time. Of the 8030 patients, 50 (0.6%) died, 32 (0.4%) had a myocardial infarction and 41 (0.5%) experienced congestive heart failure. Overall, 109 patients (1.4%) had a major cardiac event, namely, death, myocardial infarction or congestive heart failure. These events occurred over a median wait of 27 days (2 days for inpatients and 35 days for outpatients), and over half (57%) occurred within the waiting time requested by the referring physician. In the multivariate analysis, predictors of the composite of death, myocardial infarction or congestive heart failure were increasing age (relative risk [RR] 2.39, 95% confidence interval [CI] 1.52-3.75) and New York Heart Association class III/IV symptoms (RR 2.86, 95% CI 1.11-7.33) in inpatients, and increasing age (RR 1.36, 95% CI 1.12-1.66), aortic stenosis (RR 3.70, 95% CI 1.93-7.08) and left ventricular ejection fraction less than 35% (RR 4.35, 95% CI 2.48-7.61) in outpatients. INTERPRETATION: Patients awaiting cardiac catheterization may experience major adverse events, such as death, myocardial infarction and congestive heart failure, which may be preventable. Our findings provide a benchmark by which to measure the effect of increased capacity and prioritization schemes that allow earlier access for patients at higher risk, such as those with aortic stenosis and reduced left ventricular function.