Joel S. Weissman

RACIAL DISPARITIES IN ACCESS TO RENAL TRANSPLANTATION: Clinically Appropriate or Due to Underuse or Overuse?

BACKGROUND Despite abundant evidence of racial disparities in the use of surgical procedures, it is uncertain whether these disparities reflect racial differences in clinical appropriateness or overuse or underuse of inappropriate care. METHODS We performed a literature review and used an expert panel to develop criteria for determining the appropriateness of renal transplantation for patients with end-stage renal disease. Using data from five states and the District of Columbia on patients who had started to undergo dialysis in 1996 or 1997, we selected a random sample of 1518 patients (age range, 18 to 54 years), stratified according to race and sex. We classified the appropriateness of patients as data on candidates for transplantation and analyzed rates of referral to a transplantation center for evaluation, placement on a waiting list, and receipt of a transplant according to race. RESULTS Black patients were less likely than white patients to be rated as appropriate candidates for transplantation according to appropriateness criteria based on expert opinion (71 blacks [9.0 percent] vs. 152 whites [20.9 percent]) and were more likely to have had incomplete evaluations (368 [46.5 percent] vs. 282 [38.8 percent], P<0.001 for the overall chi-square). Among patients considered to be appropriate candidates for transplantation, blacks were less likely than whites to be referred for evaluation, according to the chart review (90.1 percent vs. 98.0 percent, P=0.008), to be placed on a waiting list (71.0 percent vs. 86.7 percent, P=0.007), or to undergo transplantation (16.9 percent vs. 52.0 percent, P<0.001). Among patients classified as inappropriate candidates, whites were more likely than blacks to be referred for evaluation (57.8 percent vs. 38.4 percent), to be placed on a waiting list (30.9 percent vs. 17.4 percent), and to undergo transplantation (10.3 percent vs. 2.2 percent, P<0.001 for all three comparisons). CONCLUSIONS Racial disparities in rates of renal transplantation stem from differences in clinical characteristics that affect appropriateness as well as from underuse of transplantation among blacks and overuse among whites. Reducing racial disparities will require efforts to distinguish their specific causes and the development of interventions tailored to address them.

Delayed Access to Health Care: Risk Factors, Reasons, and Consequences

OBJECTIVE To determine characteristics of patients reporting delays in care before hospitalization and the reasons for those delays. DESIGN Survey; personal interviews. SETTING Five hospitals in Massachusetts. PATIENTS Subjects were drawn from a consecutive sample of all adult patients (excluding obstetrics or psychiatry patients) hospitalized during the first 6 months of 1987 as part of a larger study of hospital costs. For the current study, if patients were re-admitted, we included in our analysis only data on the first admission during the study period. We obtained usable survey data from 12,068 of 17,231 eligible patients. RESULTS Delays in care were reported by 16% of patients. The odds of reporting delays in care among patients who were black, poor, uninsured, or without a regular physician were 40% to 80% greater than those for other patients (P less than 0.01). Most patients who reported delays thought that their problem was not serious (64%). Cost was an important factor in delaying care for patients in lower socioeconomic positions; the odds of delaying care because of cost for patients who were both poor and uninsured were 12 times greater than the odds for other patients (P less than 0.001). After controlling for diagnosis-related groups (DRGs) and severity, patients who reported delays had 9% longer hospital stays compared with others (P less than 0.001). CONCLUSIONS Patients generally thought to be disadvantaged are at especially high risk for delaying care for conditions that eventually lead to hospitalization. Because these delays are associated with longer hospital stays and potentially poorer health outcomes, interventions that reduce delays seem especially important.

Teaching hospitals and quality of care: a review of the literature.

Because teaching hospitals face increasing pressure to justify their higher charges for clinical care, the quality of care in teaching and nonteaching hospitals is an important policy question. The most rigorous peer-reviewed studies published between 1985 and 2001 that assessed quality of care by hospital-teaching status in the United States provide moderately strong evidence of better quality and lower risk-adjusted mortality in major teaching hospitals for elderly patients with common conditions such as acute myocardial infarction, congestive heart failure, and pneumonia. A few studies, however, found nursing care, pediatric intensive care, and some surgical outcomes to be better in nonteaching hospitals. Some factors related to teaching status, such as organizational culture, staffing, technology, and volume, may lead to higher-quality care.

Primary Medication Non-Adherence: Analysis of 195,930 Electronic Prescriptions

ABSTRACTBACKGROUNDNon-adherence to essential medications represents an important public health problem. Little is known about the frequency with which patients fail to fill prescriptions when new medications are started (“primary non-adherence”) or predictors of failure to fill.OBJECTIVEEvaluate primary non-adherence in community-based practices and identify predictors of non-adherence.PARTICIPANTS75,589 patients treated by 1,217 prescribers in the first year of a community-based e-prescribing initiative.DESIGNWe compiled all e-prescriptions written over a 12-month period and used filled claims to identify filled prescriptions. We calculated primary adherence and non-adherence rates for all e-prescriptions and for new medication starts and compared the rates across patient and medication characteristics. Using multivariable regressions analyses, we examined which characteristics were associated with non-adherence.MAIN MEASURESPrimary medication non-adherence.KEY RESULTSOf 195,930 e-prescriptions, 151,837 (78%) were filled. Of 82,245 e-prescriptions for new medications, 58,984 (72%) were filled. Primary adherence rates were higher for prescriptions written by primary care specialists, especially pediatricians (84%). Patients aged 18 and younger filled prescriptions at the highest rate (87%). In multivariate analyses, medication class was the strongest predictor of adherence, and non-adherence was common for newly prescribed medications treating chronic conditions such as hypertension (28.4%), hyperlipidemia (28.2%), and diabetes (31.4%).CONCLUSIONSMany e-prescriptions were not filled. Previous studies of medication non-adherence failed to capture these prescriptions. Efforts to increase primary adherence could dramatically improve the effectiveness of medication therapy. Interventions that target specific medication classes may be most effective.

Overrides of Medication Alerts in Ambulatory Care

BACKGROUND Electronic prescribing systems with decision support may improve patient safety in ambulatory care by offering drug allergy and drug interaction alerts. However, preliminary studies show that clinicians override most of these alerts. METHODS We performed a retrospective analysis of 233 537 medication safety alerts generated by 2872 clinicians in Massachusetts, New Jersey, and Pennsylvania who used a common electronic prescribing system from January 1, 2006, through September 30, 2006. We used multivariate techniques to examine factors associated with alert acceptance. RESULTS A total of 6.6% of electronic prescription attempts generated alerts. Clinicians accepted 9.2% of drug interaction alerts and 23.0% of allergy alerts. High-severity interactions accounted for most alerts (61.6%); clinicians accepted high-severity alerts slightly more often than moderate- or low-severity interaction alerts (10.4%, 7.3%, and 7.1%, respectively; P < .001). Clinicians accepted 2.2% to 43.1% of high-severity interaction alerts, depending on the classes of interacting medications. In multivariable analyses, we found no difference in alert acceptance among clinicians of different specialties (P = .16). Clinicians were less likely to accept a drug interaction alert if the patient had previously received the alerted medication (odds ratio, 0.03; 95% confidence interval, 0.03-0.03). CONCLUSION Clinicians override most medication alerts, suggesting that current medication safety alerts may be inadequate to protect patient safety.

Quality of care by race and gender for congestive heart failure and pneumonia.

BACKGROUND Variations in the rates of major procedures by race and gender are well described, but few studies have assessed the quality of care by race and gender for basic hospital services. OBJECTIVE To assess quality of care by race and gender. RESEARCH DESIGN Retrospective review of medical records. SUBJECTS Stratified random sample of 2,175 Medicare beneficiaries hospitalized for congestive heart failure or pneumonia in Illinois, New York, and Pennsylvania during 1991 and 1992. MEASURES Explicit process criteria and implicit review by physicians. RESULTS In adjusted analyses, black patients with congestive heart failure or pneumonia received lower quality of care overall than other patients with these conditions by both explicit process criteria and implicit review (P < 0.05). On explicit measures, overall quality of care did not differ by gender for either condition, but significant differences were noted on explicit subscales. Women received worse cognitive care than men from physicians for both conditions, better cognitive care from nurses for pneumonia, and better therapeutic care for congestive heart failure (P < 0.05). Women received worse quality of care than men by implicit review (P = 0.03) for congestive heart failure but not pneumonia. CONCLUSIONS Consistent racial differences in quality of care persist in basic hospital services for two common medical conditions. Physicians, nurses, and policy makers should strive to eliminate these differences. Gender differences in quality of care are less pronounced and may vary by condition and type of provider or service.

Do the Poor Cost More? A Multihospital Study of Patients' Socioeconomic Status and Use of Hospital Resources

There is controversy about whether hospitalized poor patients use more resources and whether hospitals that provide care for the poor therefore merit supplementary payment under per-case prospective payment systems. We previously reported that patients of low socioeconomic status with connective-tissue disease had longer hospital stays and higher costs than patients of higher socioeconomic status at a single hospital. To examine the generalizability of this phenomenon, we interviewed 16,908 (83 percent) of 20,278 consecutive adult patients (excluding obstetrical and psychiatric patients) admitted in 1987 to five Massachusetts hospitals, to obtain information on three direct measures of socioeconomic status (income, occupation, and education). We divided each measure into three strata. Thus, there were 15 comparisons--three measures of socioeconomic status applied to each of five hospitals. After excluding outliers and adjusting for diagnosis-related group (DRG), we found that the patients of the lowest socioeconomic status had hospital stays 3 to 30 percent longer than those of patients of higher status, the differences varying with the hospital and the indicator of socioeconomic status (P less than or equal to 0.05 for 11 of the 15 comparisons). Hospital charges were 1 to 18 percent higher for the patients of lowest socioeconomic status than for those of higher status (P less than or equal to 0.05 for 9 of 15 comparisons). When we adjusted for age, severity of illness, and DRG, the patients of lowest socioeconomic status had longer stays than those of higher status in 14 of 15 comparisons (P less than 0.05 for 7 of the 15) and higher charges in 13 of 15 comparisons (P less than 0.05 for 6 of the 15). The differences between patients of high and low status ranged up to 21 percent for length of stay and 13 percent for charges. Our findings suggest that hospitalized patients of lower socioeconomic status have longer stays and probably require more resources. Supplementary payments to hospitals for the treatment of poor patients merit further consideration.

Hospital Workload and Adverse Events

Context:Hospitals are under pressure to increase revenue and lower costs, and at the same time, they face dramatic variation in clinical demand. Objective:We sought to determine the relationship between peak hospital workload and rates of adverse events (AEs). Methods:A random sample of 24,676 adult patients discharged from the medical/surgical services at 4 US hospitals (2 urban and 2 suburban teaching hospitals) from October 2000 to September 2001 were screened using administrative data, leaving 6841 cases to be reviewed for the presence of AEs. Daily workload for each hospital was characterized by volume, throughput (admissions and discharges), intensity (aggregate DRG weight), and staffing (patient-to-nurse ratios). For volume, we calculated an “enhanced” occupancy rate that accounted for same-day bed occupancy by more than 1 patient. We used Poisson regressions to predict the likelihood of an AE, with control for workload and individual patient complexity, and the effects of clustering. Results:One urban teaching hospital had enhanced occupancy rates more than 100% for much of the year. At that hospital, admissions and patients per nurse were significantly related to the likelihood of an AE (P < 0.05); occupancy rate, discharges, and DRG-weighted census were significant at P < 0.10. For example, a 0.1% increase in the patient-to-nurse ratio led to a 28% increase in the AE rate. Results at the other 3 hospitals varied and were mainly non significant. Conclusions:Hospitals that operate at or over capacity may experience heightened rates of patient safety events and might consider re-engineering the structures of care to respond better during periods of high stress.

HEALTH-RELATED QUALITY OF LIFE IN PERSONS WITH ACQUIRED IMMUNE DEFICIENCY SYNDROME

Assessing health-related quality of life in persons infected with human immunodeficiency virus (HIV) is extremely important, but most available scales are too long, contain items that are not relevant for such persons, or do not assess important signs and symptoms of HIV infection. This study presents a new set of scales for assessing the symptoms and functioning of persons infected with HIV and reports data on their reliability and validity collected in face-to-face interviews with 189 patients receiving primary care. This study also assesses the associations among systems, functional impairment, and global health assessments. The scales are easy to administer, are reliable, and serve as valid measures of quality of life. Fatigue, functional status, and average severity of all symptoms were the best predictors of overall perceived health status. Psychological well-being and perceived health status were the best predictors of overall perceived health status. Psychological well-being and perceived health status were the strongest correlates of life satisfaction. When assessing the health-related quality of life of persons infected with HIV, this study recommends utilizing a comprehensive set of measures that allows one to examine both discrete symptoms and the more diffuse impact of illness on functioning, mental health, and quality of life.

Psychoactive Drug Use among Practicing Physicians and Medical Students

We surveyed random samples of 500 practicing physicians and 504 medical students in a New England state during 1984-1985; 70 percent of the physicians and 79 percent of the students responded. Fifty-nine percent of the physicians and 78 percent of the students reported that they had used psychoactive drugs at some time in their lives. In both groups, recreational use most often involved marijuana and cocaine, and self-treatment most often involved tranquilizers and opiates. In the previous year, 25 percent of the physicians had treated themselves with a psychoactive drug, and 10 percent had used one recreationally. Although most of the use was experimental or infrequent, 10 percent of the physicians reported current regular drug use (once a month or more often) and 3 percent had histories of drug dependence. More physicians and medical students had used psychoactive drugs at some time than had comparable samples of pharmacists and pharmacy students. The results suggest a need for renewed professional education about the risks of drug misuse.