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Biomedical subjects

E B Keeler

Publications and source records attributed to E B Keeler.

16 recordsLinked to original sources
PubMed1992

Differences in quality of care for hospitalized elderly men and women.

OBJECTIVE: To analyze whether important gender differences exist in the quality of hospital care provided to patients with four major medical conditions. DESIGN: Bivariate and multivariate comparisons of clinically detailed sickness at admission, quality, utilization, and outcome measures. SETTING: Acute care hospitals located in five states. PATIENTS OR OTHER PARTICIPANTS: A total of 11,242 patients 65 years or older who were hospitalized with one of four diseases: congestive heart failure, acute myocardial infarction, pneumonia, and cerebrovascular accident. We derived our data from the nationally representative sample used to study the quality of hospital care for Medicare patients before and after the implementation of the prospective payment system. A hierarchical (nested) cluster sampling design was used to draw disease-specific samples of patients hospitalized in 1981, 1982, 1985, or 1986 in one of 297 hospitals located in 30 areas within five states. INTERVENTIONS: This was an observational study. MAIN OUTCOME MEASURES: Sickness at admission, process, use rates, length of stay, discharge status, discharge destination, and mortality. RESULTS: Sex differences in sickness at admission varied by disease. There was some evidence that women received worse process of care, but the difference was very small. We found many similarities in the process and outcomes of care for male and female patients. CONCLUSIONS: After controlling for sickness at admission, age, and other important covariates, the in-hospital experiences of elderly men and women showed greater similarities than differences. The concern that sex bias enters into clinical decision making during hospitalization is eased, although not entirely eliminated.

Aged↗
PubMed1992

Hospital characteristics and quality of care.

OBJECTIVE: To compare quality of care measured by explicit criteria, implicit review, and sickness-adjusted outcomes at different types of hospitals. DESIGN: Further analysis of data retrospectively abstracted from medical records to evaluate the effects of prospective payment on quality of care for hospitalized Medicare patients. SETTING: Hospitals in five states were sampled to represent the national Medicare admissions along many dimensions. PATIENTS: A total of 14,008 elderly patients with one of the following five diseases: congestive heart failure, acute myocardial infarction, pneumonia, stroke, or hip fracture. These patients were randomly sampled from those with these diseases in 297 hospitals in two time periods, 1981 to 1982 and 1985 to 1986. OUTCOME MEASURES: Explicit criteria, implicit review, and mortality within 30 days of admission adjusted for sickness at admission. RESULTS: Quality of care ratings for hospital types are similar using explicit criteria, implicit review, and outcomes adjusted for sickness at admission. Quality differences between types of hospitals were large, with the lowest group estimated to have four percentage points higher mortality than major teaching hospitals in a cohort of patients with average mortality of 16%. Quality varies from state to state, but teaching, larger, and more urban hospitals have better quality in general than nonteaching, small, and rural hospitals. Hospital quality persists over time, but small nonteaching hospitals narrowed the gap with better quality hospitals between 1981 and 1986. CONCLUSIONS: The different measures led to consistent and plausible relationships between quality and hospital characteristics. Thus, valid information about hospital quality can be obtained. We need to develop ways to use such information to improve care.

Algorithms↗
PubMed1992

Cross-validation performance of mortality prediction models.

Mortality prediction models hold substantial promise as tools for patient management, quality assessment, and, perhaps, health care resource allocation planning. Yet relatively little is known about the predictive validity of these models. We report here a comparison of the cross-validation performance of seven statistical models of patient mortality: (1) ordinary-least-squares (OLS) regression predicting 0/1 death status six months after admission; (2) logistic regression; (3) Cox regression; (4-6) three unit-weight models derived from the logistic regression, and (7) a recursive partitioning classification technique (CART). We calculated the following performance statistics for each model in both a learning and test sample of patients, all of whom were drawn from a nationally representative sample of 2558 Medicare patients with acute myocardial infarction: overall accuracy in predicting six-month mortality, sensitivity and specificity rates, positive and negative predictive values, and per cent improvement in accuracy rates and error rates over model-free predictions (i.e., predictions that make no use of available independent variables). We developed ROC curves based on logistic regression, the best unit-weight model, the single best predictor variable, and a series of CART models generated by varying the misclassification cost specifications. In our sample, the models reduced model-free error rates at the patient level by 8-22 per cent in the test sample. We found that the performance of the logistic regression models was marginally superior to that of other models. The areas under the ROC curves for the best models ranged from 0.61 to 0.63. Overall predictive accuracy for the best models may be adequate to support activities such as quality assessment that involve aggregating over large groups of patients, but the extent to which these models may be appropriately applied to patient-level resource allocation planning is less clear.

Discriminant Analysis↗
PubMed1992

HMO vs fee-for-service care of older persons with acute myocardial infarction.

OBJECTIVES: Health maintenance organizations (HMOs) continue to grow in number and in their enrollment of Medicare recipients. They are also increasingly viewed as organizational structures that might contribute to control of health care costs. Yet little is known about the quality of care that elderly HMO enrollees receive. METHODS: We compared patients from three HMOs to a fee-for-service (FFS) sample that was national in scope. Sickness at admission, the quality of process of care, and mortality were assessed for patients aged 65 years and older who had been hospitalized with a diagnosis of acute myocardial infarction. RESULTS: After adjustment for sickness at admission, there were no significant mortality differences between the HMO and FFS groups at either 30 (23.2% vs 23.5%) or 180 days (34.4% vs 34.5%) after admission. Compliance with process criteria was higher for the HMO group as a whole (P < .05). The HMOs had greater compliance with three of five scales measuring different aspects of care for patients with acute myocardial infarction. CONCLUSIONS: We conclude that older patients from our participating HMOs who were hospitalized for acute myocardial infarction received hospital care that was generally better in terms of process than that received by patients in a national FFS sample.

Age Factors↗
PubMed1992

Choosing quality of care measures based on the expected impact of improved care on health.

Consumers, payers, and policymakers are demanding to know more about the quality of the services they are purchasing or might purchase. The information provided, however, is often driven by data availability rather than by epidemiologic and clinical considerations. In this article, we present an approach for selecting topics for measuring technical quality of care, based on the expected impact on health of improved quality. This approach employs data or estimates on disease burden, efficacy of available treatments, and the current quality of care being provided. We use this model to select measures that could be used to measure the quality of care in health plans, but the proposed framework could also be used to select quality of care measures for other purposes or in other contexts (for example, to select measures for hospitals). Given the limited resources available for quality assessment and the policy consequences of better information on provider quality, priorities for assessment efforts should focus on those areas where better quality translates into improved health.

Breast Neoplasms↗
PubMed1990

The effects of the DRG-based prospective payment system on quality of care for hospitalized Medicare patients. An introduction to the series.

In 1985, we began a 4-year evaluation of the effects of the diagnosis related groups-based prospective payment system on quality of care for hospitalized Medicare patients. This article provides an overview of the study's background, aims, design, and methods. We used a clinically detailed review of the medical record supplemented by data on postdischarge outcomes drawn from the files of the Health Care Financing Administration and fiscal intermediaries to (1) compare outcomes of care after adjustment for sickness at admission, (2) assess the process of in-hospital care and relationships between processes and outcomes, and (3) assess status at discharge for a nationally representative sample of patients hospitalized before and after prospective payment was implemented.

Diagnosis-Related Groups↗
PubMed1990

Studying the effects of the DRG-based prospective payment system on quality of care. Design, sampling, and fieldwork.

We have conducted a nationally representative before-after study of the effects of the diagnosis related groups-based prospective payment system (PPS) on quality of in-hospital care for aged Medicare patients. We used a pre-post design with multiple time points in both the pre-PPS (calendar years 1981 and 1982) and post-PPS (July 1985 through June 1986) periods. We gathered clinically detailed data from medical records of patients with one of six diseases and supplemented these data with postdischarge information from Health Care Financing Administration files. We used a stratified multistage cluster sampling design with data gathered on 16,758 patients chosen from 297 hospitals in 30 areas in five states. Our hospital participation rate was 97%; we successfully accessed 96% of the medical records we requested; and our mean item-level reliability score was 0.80. Our sample matches the nation closely on hospital urbanicity, size, teaching status, ownership, and percentages of Medicare and Medicaid patients, and patient demographics and mortality.

Cross-Sectional Studies↗
PubMed1990

Changes in sickness at admission following the introduction of the prospective payment system.

We developed disease-specific measures of sickness at admission based on medical record data to study mortality of Medicare patients with one of five conditions (congestive heart failure, acute myocardial infarction, cerebrovascular accident, pneumonia, and hip fracture). We collected an average of 73 sickness variables per disease, but our final sickness-at-admission scales use, on average, 19 variables. These scales are publicly available, and explain 25% of the variance in 30-day postadmission mortality for patients with acute myocardial infarction, pneumonia, or cerebrovascular accident. Sickness at admission increased following the introduction of the prospective payment system (PPS). For our five diseases combined, the 30-day mortality to be expected because of sickness at admission was 1.0% higher in the 1985-1986 period than in the 1981-1982 period (16.4% vs 15.4%), and the expected 180-day mortality was 1.6% higher (30.1% vs 28.5%). Studies of the effects of PPS on mortality must take this increase in sickness at admission into account.

Aged↗
PubMed1990

Measuring quality of care with explicit process criteria before and after implementation of the DRG-based prospective payment system.

We developed explicit process criteria and scales for Medicare patients hospitalized with congestive heart failure, myocardial infarction, pneumonia, cerebrovascular accident, and hip fracture. We applied the process scales to a nationally representative sample of 14,012 patients hospitalized before and after the implementation of the diagnosis related group-based prospective payment system. For the four medical diseases, a better process of care resulted in lower mortality rates 30 days after admission. Patients in the upper quartile of process scores had a 30-day mortality rate 5% lower than that of patients in the lower quartile. The process of care improved after the introduction of the prospective payment system; eg, better nursing care after the introduction of the prospective payment system was associated with an expected decrease in 30-day mortality rates in pneumonia patients of 0.8 percentage points, and better physician cognitive performance was associated with an expected decrease in 30-day mortality rates of 0.4 percentage points. Overall, process improvements across all four medical conditions were associated with a 1 percentage point reduction in 30-day mortality rates after the introduction of the prospective payment system.

Aged↗
PubMed1990

Comparing outcomes of care before and after implementation of the DRG-based prospective payment system.

We compared patient outcomes before and after the introduction of the diagnosis related groups (DRG)-based prospective payment system (PPS) in a nationally representative sample of 14,012 Medicare patients hospitalized in 1981 through 1982 and 1985 through 1986 with one of five diseases. For the five diseases combined; length of stay dropped 24% and in-hospital mortality declined from 16.1% to 12.6% after the PPS was introduced (P less than .05). Thirty-day mortality adjusted for sickness at admission was 1.1% lower than before (16.5% pre-PPS, 15.4% post-PPS; P less than .05), and 180-day adjusted mortality was essentially unchanged at 29.6% pre-vs 29.0% post-PPS (P less than .05). For patients admitted to the hospital from home, 4% more patients were not discharged home post-PPS than pre-PPS (P less than .05), and an additional 1% of patients had prolonged nursing home stays (P less than .05). The introduction of the PPS was not associated with a worsening of outcome for hospitalized Medicare patients. However, because our post-PPS data are from 1985 and 1986, we recommend that clinical monitoring be maintained to ensure that changes in prospective payment do not negatively affect patient outcome.

Diagnosis-Related Groups↗
PubMed1990

Quality of care before and after implementation of the DRG-based prospective payment system. A summary of effects.

In this series we have described changes in the quality of care that have occurred in the treatment of hospitalized elderly Medicare patients with one of five conditions between 1981-1982 and 1985-1986. In this article we report on a mortality analysis, patient and hospital subgroup comparisons, and time series studies we have conducted in an attempt to determine whether changes in quality of care can be linked causally to the introduction of the prospective payment system. Based on these analyses we conclude that (1) mortality following hospitalization has been unaffected by the introduction of the prospective payment system, and improvements in in-hospital processes of care that began prior to the prospective payment system have continued after its introduction, but (2) the prospective payment system has increased the likelihood that a patient will be discharged home in an unstable condition. We recommend that efforts to correct this problem be intensified and that clinical monitoring of the impact of the prospective payment system continue as hospital cost-containment pressures intensify.

Continuity of Patient Care↗
PubMed1990

Quality of ambulatory care. Epidemiology and comparison by insurance status and income.

In this report the data from medical history questionnaires, screening examinations, insurance claims, and a face-to-face physician interview were used to examine the quality of ambulatory care received for 17 chronic conditions by a general population of 5986 adults (less than or equal to 65) and children (less than or equal to 14) enrolled in the RAND Health Insurance Experiment. Subjects in six U.S. sites were randomly assigned to insurance plans that were free or that required cost sharing, or in one site to an HMO. Quality-of-care criteria--both process (what was done to patients) and outcome (what happened to them)--were developed. Overall, 81% of outcome criteria and 62% of process criteria were met. Physicians interviewed patients with selected conditions at the Experiment's end to evaluate care. They suggested that approximately 70% of patients should have their current therapy changed, but only 30% of patients would obtain more than minor improvement from such a change. Clinically meaningful plan differences in quality of care were observed only for the process criteria dealing with the need for a visit (free plan compliance 59%; cost sharing compliance 52%). Quality of care for the poor was slightly worse than for the nonpoor and persons randomized to an HMO had slightly better overall quality of care than those in the fee-for-service system. Substantial improvements in the quality of the process of care could be made, but impact on outcome may be small. Results of the analysis suggest the need for development of clinical models to test the relationship between specific process criteria and improvements in outcome.

Adult↗
PubMed1978

Screening trials.

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Cost-Benefit Analysis↗