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The Evaluation of Processes and Indicators in Infection Control (EPIC) study assesses the relationship between hospital care and rates of central venous catheter-associated primary bacteremia in 54 intensive-care units (ICUs) in the United States and 14 other countries. Using ICU rather than the patient as the primary unit of statistical analysis permits evaluation of factors that vary at the ICU level. The design of EPIC can serve as a template for studies investigating the relationship between process and event rates across health-care institutions.

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The use of clinical performance data is increasing rapidly. Yet, substantial variation exists across indicators designed to measure the same clinical event. We compared indicators from several indicator measurement systems to determine the consistency of results. Five measurement systems with well-defined indicators were selected. They were applied to 24 hospitals. Indicators for mortality from coronary artery bypass graft surgery and mortality in the perioperative period were chosen from these measurement systems. Analyses results and concludes that it is faulty to assume that clinical indicators derived from different measurement systems will give the same rank order. Widespread demand for external release of outcome data from hospitals must be balanced by an educational effort about the factors that influence and potentially confound reported rates.

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This article describes the Joint Commission's implementation plans, experience, and results to date of incorporating performance measurement data into the accreditation process. These plans have evolved in response to changes in the health care environment, feedback from accredited organizations, and both technical and political obstacles encountered. During the late 1980s, the Joint Commission developed a national performance measurement system, the IMSystem, to incorporate information about the process and outcomes of care into the accreditation process. In 1995, the ORYX initiative was introduced to offer health care organizations significant flexibility in selecting a measurement system and measures while promoting organizational self-improvement and accountability. Recently, the plans have evolved to incorporate standardized core measures that are known to be valid and reliable. These initiatives have moved the field much closer to the day when quality assessment will reflect a comprehensive view of organizational performance, based, in part, on performance measurement data.

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BACKGROUND: Demand is growing for comparative data such as Cesarean section rates, but little effort has been made to develop either standardized definitions or risk adjustment approaches. OBJECTIVE: To determine to what extent a seemingly straightforward indicator like Cesarean section rate will vary when calculated according to differing definitions used by various performance measurement systems. DESIGN: Retrospective data abstraction of 200 deliveries per hospital. SETTING: Fifteen acute care hospitals including two from outside the USA. MEASUREMENTS: Four widely-used performance measurement systems provided specifications for their Cesarean section indicators. Indicator specifications varied on inclusion criteria (whether the population was defined using Diagnostic Related Groups or ICD-9-CM procedure codes or ICD-9-CM diagnosis codes) and risk-adjustment methods and factors. Rates and rankings were compared across hospitals using different Cesarean section indicator definitions and indicators with and without risk adjustment. RESULTS: Calculated Cesarean section rates changed substantially depending on how the numerator and denominator cases were identified. Relative performance based on Cesarean section rankings is affected less by differing indicator definitions than by whether and how risk adjustment is performed. CONCLUSIONS: Judgments about organizational performance should only be made when the comparisons are based upon identical indicators. Research leading to a uniform indicator definition and standard risk adjustment methodology is needed.

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Outcomes measurement systems often experience similar challenges to implementing data collection and demonstrating value. This article examines the experiences of 451 hospitals participating in a 2-year research effort designed to assess the ability of participants to successfully implement collection of obstetric and peri-operative indicator data for development of an outcomes measurement system. Measures of ability to implement include rate of attrition and reasons for withdrawal, resources expended, months of data transmitted, internal factors that affected ability to operationalize data collection, and assessment of value of participating in the testing process. The findings indicate considerable variation in implementation ability, challenges encountered, and satisfaction with the experience. Several changes in the operational system were made in response to the findings. Many of the lessons learned from the testing experience may be applicable to sponsors of and participants in other outcomes measurement systems.

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A randomized, controlled clinical trial was performed to determine whether individualized dosing by use of Bayesian pharmacokinetic modeling could decrease nephrotoxicity accosted with aminoglycoside therapy. Two hundred forty-three patients receiving aminoglycosides for suspected or proven infection were randomly assigned to one of three groups: usual physician-directed dosing (Group 1), pharmacist-assisted dosing (Group 2), or pharmacist-directed dosing (Group 3). Dosing in Groups 2 and 3 was based on a Bayesian pharmacokinetic dosing program, whereas Group 1 served as the control group. Individualized dosing resulted in higher mean postinfusion (peak) serum aminoglycoside levels, higher ratios of mean peak level to minimum inhibitory concentration (peak/MIC ratios), and a trend toward lower trough serum levels. Milligrams per dose were higher and number of doses per day was lower in the pharmacist-dosed groups. However, the incidence of nephrotoxicity (> or = 100% increase in serum creatinine) was not different among the three groups (16, 27, and 16% in Groups 1, 2, and 3, respectively). Similarly, severity of toxicity was not affected by the dosing intervention. Risk factors for toxicity included duration of therapy, shock, treatment with furosemide, older age, and liver disease. After controlling for these factors, the dosing intervention still had no effect on nephrotoxicity. It was concluded that Bayesian pharmacokinetic dosing did not decrease the risk of nephrotoxicity associated with aminoglycoside therapy.

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This historical cohort study investigated the relationship between nursing home quality and the group outcomes of mortality, rehospitalization, and discharge. Multiple logistic regression was used to determine if nursing home quality indices increased the prediction of these outcomes when patient severity of illness and case-mix differences were in the model. Three hundred ninety veterans discharged to 11 nursing homes were followed for 6 months. Nursing home quality was assessed using indices from the Multiphasic Environmental Assessment Procedure and the Rush-Medicus Methodology for Monitoring Quality of Nursing Care. An increased likelihood of death was associated with the diagnoses of cancer and heart disease and with being rehospitalized. Four nursing home quality indices significantly improved the prediction of mortality (RN hours, nursing process, security, and mean quality). Rehospitalization was associated with the patient factors of heart disease, hypertension, race, and level of care and with size of the nursing home. Discharge from the facility was inversely associated with the diagnosis of cancer and directly related to the index of nursing process. The results support the notion that group outcomes may be related to nursing home quality and suggest the need for further studies to investigate the specific elements of nursing home quality which relate to improved outcome.

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