Cost-effectiveness of captopril therapy after myocardial infarction.

OBJECTIVES: This study sought to assess the cost-effectiveness of captopril therapy for survivors of myocardial infarction. BACKGROUND: The recent randomized, controlled Survival and Ventricular Enlargement (SAVE) trial showed that captopril therapy improves survival in survivors of myocardial infarction with an ejection fraction < or = 40%. The present ancillary study was designed to determine how the costs required to achieve this increase in survival compared with those of other medical interventions. METHODS: We developed a decision-analytic model to assess the cost-effectiveness of captopril therapy in 50- to 80-year old survivors of myocardial infarction with an ejection fraction < or = 40%. Data on costs, utilities (health-related quality of life weights) and 4-year survival were obtained directly from the SAVE trial, and long-term survival was estimated using a Markov model. In one set of analyses, we assumed that the survival benefit associated with captopril therapy would persist beyond 4 years (persistent-benefit analyses), whereas in another set we assumed that captopril therapy incurred costs but no survival benefit beyond 4 years (limited-benefit analyses). RESULTS: In the limited-benefit analyses, the incremental cost-effectiveness of captopril therapy ranged from $3,600/quality-adjusted life-year for 80-year old patients to $60,800/quality-adjusted life-year for 50-year old patients. In the persistent-benefit analyses, incremental cost-effectiveness ratios ranged from $3,700 to $10,400/quality-adjusted life-year, depending on age. The outcome was generally not sensitive to changes in estimates of variables when they were varied individually over wide ranges. In a "worst-case" analysis, incremental cost-effectiveness ratios for captopril therapy remained favorable ($8,700 to $29,200/quality-adjusted life-year) for 60- to 80-year old patients but were higher ($217,600/quality-adjusted life-year) for 50-year old patients. CONCLUSIONS: We conclude that the cost-effectiveness of captopril therapy for 50- to 80-year old survivors of myocardial infarction with a low ejection fraction compares favorably with other interventions for survivors of myocardial infarction.

Impact of physician experience on triage of emergency room patients with acute chest pain at three teaching hospitals.

PURPOSE: To determine whether the experience of the physician (as measured by postgraduate training level or time during the academic year) who performs the initial evaluation affects the triage of patients with acute chest pain. PATIENTS AND METHODS: Prospective data on the presenting clinical features, initial triage, final diagnosis, and complications were collected for 7,857 patients who presented to the emergency rooms of three teaching hospitals, including 1,118 (14%) with acute myocardial infarction (AMI), 2,477 (32%) with acute ischemic heart disease (AIHD) (i.e., AMI or unstable angina), and 335 (4%) with major complications. The experience of the evaluating physicians, who were in their first three postgraduate years in 93% of cases, was measured in three ways: (1) postgraduate training level, (2) month during the academic year, and (3) number of patients with acute chest pain previously evaluated. Multivariate logistic regression analyses that adjusted for hospital site and 20 clinical variables estimated the odds ratios for admission to the coronary care unit (CCU) and hospital associated with each incremental increase in physician experience. RESULTS: With more experience (as measured by postgraduate training level or time during the academic year), the sensitivity of physicians for admitting patients with AMI, AIHD, or major complications to the hospital increased. For example, each incremental increase in postgraduate training level carried a 1.4 increase in the adjusted odds ratio for admission of a patient with AIHD to the hospital (p less than 0.05), corresponding to an increase in the probability of admission from 93% to 97%. However, increasing physician experience was also associated with an elevated false-positive rate in admitting patients without these diagnoses to the CCU and hospital. Thus, each incremental increase in postgraduate training level carried a 1.2 increase in the adjusted odds ratio for admission of a patient without AIHD to the CCU and hospital (p less than 0.005), corresponding to an increase in the probability of admission from 34% to 47%. By receiver operating characteristic curve (ROC) regression analyses, these changes in triage patterns were consistent with movement along a single ROC curve, rather than a shift to a new or better ROC curve. CONCLUSIONS: As the experience of the physician who performed the initial evaluation increased, there was a lower threshold for admitting all patients with and without AMI, AIHD, or major complications to the CCU and hospital without a detectable improvement in diagnostic accuracy.

Long-term survival of emergency department patients with acute chest pain.

To evaluate the long-term prognosis of patients with acute chest pain, prospective clinical data and long-term follow-up data (mean 30.1 +/- 9.4 months) were collected for 1,956 patients who presented to the emergency department of an urban teaching hospital with this chief complaint. During follow-up of the 1,915 patients who were discharged alive from the emergency department or hospital, there were 113 (6%) cardiovascular deaths. No differences were detected in the post-discharge cardiovascular survival rates after 3 years of experience with patients who were discharged from the emergency department with a known prior diagnosis of angina or myocardial infarction (89%) and patients who had been admitted and found to have acute myocardial infarction (85%), angina (87%), or other cardiovascular diagnoses (87%). Patients who were discharged from either the hospital or the emergency department without cardiovascular diagnoses had an excellent prognosis. Multivariate Cox regression analysis identified 5 independent correlates of cardiovascular mortality after discharge: age, prior history of coronary disease, ischemic changes on the emergency department electrocardiogram, congestive heart failure and cardiogenic shock. These findings indicate that the postdischarge cardiovascular mortality of patients with chest pain who are discharged from the emergency department with a known history of coronary disease is similar to that of admitted patients with angina or myocardial infarction. These data suggest that the same types of prognostic evaluation strategies that have been developed for admitted patients with ischemic heart disease should also be considered when such patients present to the emergency department but are not admitted.

Stability of time-tradeoff utilities in survivors of myocardial infarction.

To investigate whether time-tradeoff utilities of survivors of myocardial infarction change over time and whether changes in utilities correlate with changes in functional status, the authors conducted serial interviews using a time tradeoff and three measures of functional status in a cohort of 67 patients who had recently had myocardial infarction. The patients were also asked to rate their overall health on a rating scale and were asked about chest pain, exercise status, and employment status. Each patient was interviewed two to five times over one and a half years. The mean (95% CI) time-tradeoff score for all patients was 0.88 (0.84, 0.93). Over a mean interval of 8.4 months, 28 (42%) patients changed Karnofsky scores, 28 (42%) changed Specific Activity Scale classes, and 11 (16%) changed New York Heart Association classes, with most changes representing improvements in functional status. Scores on the rating scale improved by a mean (95% CI) of 0.06 [(0.03, 0.10); p < 0.002], but scores on the time tradeoff remained stable, with a mean (95% CI) change of 0.03 [(-0.02, 0.08); p = NS]. Changes in time-tradeoff scores did not correlate with changes in Specific Activity Scale classes (Kendall's tau = 0.21), New York Heart Association classes (tau = -0.02), or Karnofsky scores (tau = 0.14); with changes on the verbal rating scale (R = 0.20); with changes in chest pain status (tau = -0.05), exercise status (tau = 0.11), or employment status (tau = 0.11); or with interim hospitalizations (tau = 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)

The impact of a regulation restricting medical house staff working hours on the quality of patient care.

OBJECTIVE: To examine the impact on patient care of a New York State regulation that restricted house staff working hours. DESIGN: Retrospective cohort study. SETTING: General medical service of an urban teaching hospital. PATIENTS: A total of 263 (94%) of 281 patients discharged from the study service during October 1988 and 263 (93%) of 283 patients discharged from the same service during October 1989. INTERVENTIONS: On July 1, 1989, New York State enacted a new regulation, Code 405, which limited residents' working hours and specified levels of supervision and ancillary support. MAIN OUTCOME MEASURES: In-hospital mortality, transfers to intensive care units, cardiopulmonary resuscitation attempts, discharge disposition, length of stay, medical complications, and house staff delays in ordering tests and procedures. RESULTS: Although the cohorts were comparable in severity of illness measures, more patients in 1989 suffered at least one medical complication (91 [35%] vs 59 [22%]; P = .002) and experienced at least one diagnostic test delay because of house staff (44 [17%] vs 4 [2%]; P < .001). These significant differences persisted after controlling for potential confounders in multivariate analyses. However, we found no significant differences in more serious outcomes: in-hospital mortality, transfer to intensive care unit, discharge disposition, or length of stay. CONCLUSION: These results suggest that restricted house staff working hours were associated with delayed test ordering by house staff and increased in-hospital complications. While these potentially deleterious effects on the quality of care did not result in statistically significant differences in more serious outcomes, further study at other hospitals is warranted to determine staffing strategies that optimize quality of care for patients, as well as medical education and quality of life for house officers.

Health values of hospitalized patients 80 years or older. HELP Investigators. Hospitalized Elderly Longitudinal Project.

CONTEXT: Health values (utilities or preferences for health states) are often incorporated into clinical decisions and health care policy when issues of quality vs length of life arise, but little is known about health values of the very old. OBJECTIVE: To assess health values of older hospitalized patients, compare their values with those of their surrogate decision makers, investigate possible determinants of health values, and determine whether health values change over time. DESIGN: A prospective, longitudinal, multicenter cohort study. SETTING: Four academic medical centers. PARTICIPANTS: Four hundred fourteen hospitalized patients aged 80 years or older and their surrogate decision makers who were interviewed and understood the task. MAIN OUTCOME MEASURES: Time-trade-off utilities, reflecting preferences for current health relative to a shorter but healthy life. RESULTS: On average, patients equated living 1 year in their current state of health with living 9.7 months in excellent health (mean [SD] utility, 0.81 [0.28]). Although only 126 patients (30.7%) rated their current quality of life as excellent or very good, 284 (68.6%) were willing to give up at most 1 month of 12 in exchange for excellent health (utility > or =0.92). At the other extreme, 25 (6.0%) were willing to live 2 weeks or less in excellent health rather than 1 year in their current state of health (utility < or =0.04). Patients were willing to trade significantly less time for a healthy life than their surrogates assumed they would (mean difference, 0.05; P=.007); 61 surrogates (20.3%) underestimated the patient's time-trade-off score by 0.25 (3 months of 12) or more. Patients willing to trade less time for better health were more likely to want resuscitation and other measures to extend life. Time-trade-off score correlated only modestly with quality-of-life rating (r=0.28) and inversely with depression score (r=-0.27), but there were few other clinical or demographic predictors of health values. When patients who survived were asked the time-trade-off question again at 1 year, they were willing to trade less time for better health than at baseline (mean difference, 0.04; P=.04). CONCLUSION: Very old hospitalized patients who could be interviewed were able, in most cases, to have their health values assessed using the time-trade-off technique. Most patients were unwilling to trade much time for excellent health, but preferences varied greatly. Because proxies and multivariable analyses cannot gauge health values of elderly hospitalized patients accurately, health values of the very old should be elicited directly from the patient.