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OBJECTIVES Patients with acute myocardial infarction (AMI) who are admitted to hospitals without coronary revascularization are frequently transferred to hospitals with this capability. We sought to determine whether the timeliness of hospital transfer and quality of destination hospitals differed between black and white patients. METHODS We evaluated all white and black Medicare beneficiaries admitted with AMI at nonrevascularization hospitals in 2006 who were transferred to a revascularization hospital. We compared hospital length of stay before transfer and the transfer destination's 30-day risk-standardized mortality rate for AMI between black and white patients. We used hierarchical regression to adjust for patient characteristics and examine within and across-hospital effects of race on 30-day mortality and length of stay before transfer. RESULTS A total of 25,947 (42%) white and 2345 (37%) black patients with AMI were transferred from 857 urban and 774 rural nonrevascularization hospitals to 928 revascularization hospitals. Median (interquartile range) length of stay before transfer was 1 day (1 to 3 d) for white patients and 2 days (1 to 4 d) for black patients (P

Objective: Illustrate an accessible method of bridging data from earlier surveys to the CAHPS® Hospital Survey to support hospitals' internal quality improvement efforts. Data Sources/Study Setting: Survey of patients with more than 300,000 annual hospitalizations in a large urban hospital. Study Design and Data: Six pairs of parallel items from the CAHPS and Picker Hospital Surveys were administered to the same 734 patients. We assessed item comparability and applied bridging adjustments to convert old items to predicted scores on the new CAHPS items. Principle Findings: Differences in wording, response options, and cut points for "problem scores" yielded large differences in problem score rates between the Picker and CAHPS Hospital Surveys, requiring bridging formulas. Tetrachoric correlations for 5 of 6 pairs indicated high correspondence (r = 0.71-0.97, P < 0.001) in the underlying constructs assessed by the 2 surveys, validating the use of bridging. Bridged scores contain less information per observation than directly measured new scores, but with sufficient sample sizes they can be used to detect trends across the transition. Conclusions: Hospitals can use the methodology described here to trend their scores from a previous survey to the CAHPS Hospital Survey with sufficient precision to support ongoing quality improvement efforts. Hospitals should administer an instrument containing pairs of old and new items to enough patients to yield at least 625 completes to measure bridging parameters precisely. Where correspondence is high, old items can and should be replaced by CAHPS items. Important old items with weaker associations with new items may be retained.

OBJECTIVES In this project we assessed the impact of 1992 budget cuts ($50 million, or approximately 7% of urban hospitals' budgets) on the relative costliness of Manitoba's hospitals. The cuts targeted the teaching hospitals, those institutions we had found to be particularly costly in a previous Manitoba Centre for Health Policy and Evaluation study. RESULTS Unexpectedly, we found that because budget cuts were smaller proportionately than the number of beds closed, the care at the teaching hospitals (as well as at several other hospitals) became relatively more, not less, costly. Also quite contrary to public perceptions, once other expenditures such as new hospital programs and expansions were accounted for, the actual change in urban hospital expenditures over the years compared was less than 1%. CONCLUSIONS The study highlighted the importance of monitoring program outcomes.

Objectives. Each year approximately 100,000 Medicare patients undergo knee replacement surgery. Patients, referring physicians, and surgeons must consider a variety of factors when deciding if knee replacement is indicated. One factor in this decision process is the likelihood of revision knee replacement after the initial surgery. This study determined the chance that a revision knee replacement will occur and which factors were associated with revision. Methods. Data on all primary and revision knee replacements that were performed on Medicare patients during the years 1985 through 1990 were obtained. The probability that a revision knee replacement occurred was modeled from data for all patients for whom 2 full years of follow-up data were available. Two strategies for linking revisions to a particular primary knee replacement for each patient were developed. Predictive models were developed for each linking strategy. ICD-9-CM codes were used to determine hospitalizations for primary knee replacement and revision knee replacement. Results. More than 200,000 hospitalizations for primary knee replacements were performed, with fewer than 3% of them requiring revision within 2 years. The following factors increase the chance of revision within 2 years of primary knee replacement: (1) male gender, (2) younger age, (3) longer length of hospital stay for the primary knee replacement, (4) more diagnoses at the primary knee replacement hospitalization, (5) unspecified arthritis type, (6) surgical complications during the primary knee replacement hospitalization, and (7) primary knee replacement performed at an urban hospital. Conclusions. Revision knee replacement is uncommon. Demographic, clinical, and process factors were related to the probability of revision knee replacement.

Small area analysis is a widely used approach for identifying variations in the delivery of health services across geographically defined populations. There is growing consensus that, to a significant degree, these variations reflect the practice style of different physicians at area hospitals. However, to date, small area analysis has not been appropriate for studying the practice style of physicians at individual urban hospitals. This occurs, at least in part, because urban residents have easy geographic access to several hospitals, and no clear method of assigning small geographic areas to a single hospital is available. This study addresses this issue by taking a new approach to defining urban hospital service areas. As gate keepers to hospitals, physicians tend to admit their patients to one or two institutions. Therefore, urban hospital service areas are defined by ignoring geographic boundaries and linking patients to a single hospital on the basis of the admitting patterns of the physicians the patient contacts. The sensitivity of the assignment rules is tested; the results of the proposed technique are compared with those using a traditional geographic approach. The findings of the study reported here suggest that this is a feasible method, which yields stable sensitivity results and is generalizable to a variety of urban settings.

OBJECTIVES Since World War II, the urban hospital emergency room has been a major source of medical care for inner-city poor families, many of whom receive Medicaid. Given the expensive and episodic nature of emergency room care, there has been renewed interest in enrolling Medicaid recipients into managed care plans to increase access to care and to reduce medical costs. Thus, the primary care physician, in many managed care plans, is expected to give prior approval for emergency room care in nonurgent situations. The goals of managed care may create tension between its requirements and historical patterns of inner-city families seeking care in an emergency room. In 1964, Alpert developed a typology that categorized inner-city families' patterns of seeking medical care in a pediatric emergency department (PED) by describing the relation between regular source of medical care and reliance on this source before the PED visit. In 1976, using the same typology, Alpert and Scherzer updated care-seeking patterns in Boston after the introduction of neighborhood health centers (NHCs) and Medicaid. In 1993, the typology is a method that can be used to assess the impact of managed care on PED utilization by inner-city families. This article compares the 1993 pattern of seeking PED care with that measured in 1964 and 1976. METHODS In 1964, 1976, and 1993 families were interviewed as they sought care in a PED. Families were asked if they had a regular source of care, defined as the place where families take their child most often for either well or sick visits. A judgment was made as to whether or not the PED visit was coordinated with their regular source of care. Coordinated care was defined as having a regular source of care and attempting to contact the source before the PED visit. Uncoordinated care occurred when the family had a regular source and did not attempt contact, or had no regular source. RESULTS In 1964, 63% of families reported a regular source of care compared with 89% in 1976 and 95% in 1993. The hospital was reported as the regular source of care by 57% of the respondents in 1964, by 31% in 1976, and 43% in 1993. Community-based sources (physicians and NHCs) were identified as a regular source of care by 43% in 1964, 69% in 1976, and 57% in 1993. In 1964, 55% of the families engaged in an uncoordinated pattern of seeking care compared with 64% in 1976 and 72% in 1993. CONCLUSIONS Efforts to provide access to care through Medicaid, NHCs, and hospital-based primary care resulted in a greater percentage of families reporting a regular source of care; however, a majority of families continue to exhibit an uncoordinated pattern of seeking care. More families in 1993 did not contact their regular source before seeking care in the PED when compared with 1964 and 1976. For managed care plans to increase access and reduce costs, a shift in PED utilization patterns remains necessary. The primary care system must have the capacity to accommodate these changes and considerable patient education must occur if urgent care is to be provided outside the PED.

A classification system for surgical patients and a quantitative index of services have been developed to determine the resources utilized for medical care in an urban hospital emergency department. Five classes of surgical patients based on patient management reflect, the amount of diagnostic and therapeutic work performed. Quantitative estimates of workload and rates at which services are delivered to each patient class are included. This classification of patients which is derived from a natural grouping of common patient problems with common patterns of management, can be an important aid to effective analysis and planning of medical care in outpatient settings.