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Biomedical subjects

J Keesey

Publications and source records attributed to J Keesey.

At least 19 recordsLinked to original sources
PubMed2000

Lack of progress in labor as a reason for cesarean.

OBJECTIVE: To estimate the prevalence of lack of progress in labor as a reason for cesarean delivery and to compare published diagnostic criteria with the labor characteristics of women with this diagnosis. METHODS: We reviewed medical records and did a postpartum telephone survey to collect data from 733 women who delivered full-term, nonbreech infants by unplanned cesarean between March 1993 and February 1994. These were a subset of 2447 births sampled at delivery from 30 hospitals in Los Angeles County and Iowa. We measured the proportion of unplanned cesareans done for lack of progress in labor, the cervical dilatation at the time of cesarean, length of the second stage, and slope of the active phase among the women. We estimated the proportion of these cesareans that conformed to the ACOG criteria for the diagnosis of lack of progress. RESULTS: Lack of progress was a reason for 68% of unplanned, vertex cesareans. At least 16% of the subjects who had cesareans for lack of progress were in the latent phase of labor according to ACOG criteria. The second stage was not prolonged in 36% of the women who delivered at 10 cm. CONCLUSION: Lack of progress in labor is a dominant reason for cesarean delivery. Many cesareans are done during the latent phase of labor, and in the second stage of labor when it is not prolonged. These practices do not conform to published diagnostic criteria for lack of progress.

Adolescent↗
PubMed1997

Redistributional consequences of community rating.

OBJECTIVE: To predict the geographical effects of community rating of health insurance premiums on the amount individuals pay for insurance. DATA SOURCES: We estimate premiums and health expenditures for a 5 percent sample of Californians from the 1990 U.S. Census (the Public Use Microdata Sample) and use data from Blue Cross of California to adjust for regional price differences in services. STUDY DESIGN: We use an episodic health simulation model to estimate health expenditures for 975,074 Californians. Because the simulations do not reflect expenditure differences due to price variation in cost of services, we adjust these data for relative price differences by county. This leaves us with a sample of Californians for whom we have estimated health expenditures. We then compute average expenditures within areas of different sizes (all California, two regions, within counties) to estimate community-rated premiums. We then compare these premiums with actual expenditures on a county-by-county basis. PRINCIPAL FINDINGS: With a single California-wide premium, rural residents pay premiums that exceed their use of care, while urban residents pay premiums that are less than their use of care. These transfers are substantial. Dividing California into regional risk pools at the county level still results in poorer communities providing substantial subsidies to their more wealthy counterparts. CONCLUSIONS: Mandated community rating of premiums in a heterogeneous state such as California results in large unintended transfers of wealth from poorer, rural communities to urban, wealthier communities. Allowing premiums to vary with the regional cost of medical care would eliminate some of the transfers without sacrificing the benefits of community rating. Subsidies to low-income families could also effectively mitigate this redistribution. UTILITY: This article points out some potentially regressive consequences of geographic community rating and suggests ways to mitigate them.

California↗
PubMed1997

Adjusting cesarean delivery rates for case mix.

OBJECTIVES: (1) To describe the issues in developing a clinical predictor of cesarean delivery that could be used to adjust reported cesarean rates for case mix, and (2) to compare its performance to other, simpler predictors using clinical and statistical criteria. DATA SOURCES: Singleton births greater than 2,500 grams in Washington State in 1989 and 1990 for whom mothers and infant hospital discharge records could be matched to birth certificate data. DESIGN: Statistical analysis of retrospective merged hospital and birth certificate data, which were used to develop variables and models to predict the probability that any particular delivery would be a cesarean. PRINCIPAL FINDINGS: Merged data led to better predictor variables than those based on one source. A simple four-category hierarchical classification into births with prior cesarean, breech but no prior cesarean, first birth, and other explains 30 percent of the variance in individual cesarean rates. The full clinical model fit the data well and explained 37 percent of the variance. Multiparas without serious complications comprised 35 percent of the mothers and averaged less than 2 percent cesareans. A hospital's predicted cesarean rate depends strongly on the proportion of its births that are first births. CONCLUSION: Government and private agencies have reported cesarean rates as measures of hospital performance. Depending on data and resources available, both simple and complex measures of case mix can be used to adjust reported rates. These adjustments should not include all variables related to the rates. Proper adjustments may not alter hospital rankings greatly, but they will improve the validity and acceptability of the reports.

Birth Certificates↗
PubMed1996

Medicaid health maintenance organizations. Can they reduce program spending?

A randomized trial to evaluate the Florida site of the Program for Prepaid Managed Care showed that the plan, a staff model health maintenance organization, was successful in attracting Medicaid enrollees. The evaluation established that the health maintenance organization was able to limit members' utilization. The savings were in the form of lower likelihood of using care. The amount of services received, once care was initiated, was the same in both fee-for service Medicaid and health maintenance organizations. The authors detected no differences in inpatient use or costs. Additionally, they found evidence that the plan attracted sicker than average enrollees, so this reduced utilization translates into Medicaid program savings.

Adolescent↗
PubMed1994

The urge to merge: linking vital statistics records and Medicaid claims.

This paper describes a procedure used to link Medicaid claims data to California vital statistics records for very low birthweight infants. The linkage involved about 53,000 infants born from 1980 to 1987 and 1.46 million claims for delivery/birth-related hospital admissions during the same period. Because the two data files did not share a unique identifier, record linkage required combining evidence across several linking variables: delivery hospital, delivery/birth date or hospitalization period, names, mother's age, and zip code. To combine the various pieces of evidence, we used record linkage theory to compute scores that measure the likelihood of a match, i.e., that two records correspond to the same delivery. These scores appropriately weight the various pieces of evidence for or against a match. Implementation required dealing with large amounts of missing data in one of the files, errors and variations in reported names, and the need to minimize the number of incorrect links. The approach applies to a wide range of linkage problems. The ability to combine existing datasets to form new datasets containing analysis variables from each facilitates analyses that would otherwise be impossible, or prohibitively expensive.

Bias↗
PubMed1994

The effect of alternative case-mix adjustments on mortality differences between municipal and voluntary hospitals in New York City.

OBJECTIVE: This study investigated how mortality differences between groups of municipal versus voluntary hospitals are affected by case-mix adjustment methods. DATA SOURCES AND STUDY SETTING: We sampled about 10,000 random admissions from administrative data for patients hospitalized with each of six conditions in hospitals in New York City during 1984-1987. STUDY DESIGN: We developed logistic regression models adjusting for age and gender, for principal diagnosis, for "limited other diagnoses" (secondary diagnoses that were very unlikely to result from care received), for "full other diagnoses" (all secondary diagnoses irrespective of whether they might have been due to care received), for previous diagnoses, and for other variables. PRINCIPAL FINDINGS: For five of the six conditions, when the limited other diagnoses adjustment was used there was higher mortality in the municipal hospitals (p < .05), with 3.3 additional deaths/100 admissions for myocardial infarction, 1.2 for pneumonia, 8.3 for stroke, 2.8 for head trauma, and 0.8 for hip repair. However, when the full other diagnoses adjustment was used, differences remained significant only for stroke (4.3 additional deaths/100 admissions) and head trauma (1.3) (p < .05). CONCLUSIONS: Estimates of mortality differences between New York City municipal and voluntary hospitals are substantially affected by which secondary diagnoses are used in case-mix adjustment. Judgments of quality should not be based on administrative data unless models can be developed that validly capture level of sickness at admission.

Adolescent↗
PubMed1993

Mortality differences between New York City municipal and voluntary hospitals, for selected conditions.

To determine if mortality differences between municipal and voluntary hospitals in New York City persist after adjustment for computerized administrative data (age, sex, principal diagnosis, and secondary diagnosis), six conditions in those hospitals from 1984 through 1987 were studied. Unadjusted mortality was significantly higher in municipal hospitals for myocardial infarction, stroke, and head trauma, and lower for congestive heart failure and pneumonia. Adjustment using administrative data eliminated differences for myocardial infarction, congestive heart failure, and pneumonia, but not for stroke and head trauma. We conclude that adjustment using administrative data eliminates some but not all mortality differences between municipal and voluntary hospitals. Medical record review is needed to determine why these differences persist.

Diagnosis-Related Groups↗
PubMed1990

Carotid endarterectomy for elderly patients: predicting complications.

OBJECTIVE: To determine whether the complication or death rate from carotid endarterectomy can be predicted from hospital and physician structural variables, such as the hospital's teaching status or the number of endarterectomies done by the surgeon per year. DESIGN: Survey of medical records. After controlling for the severity of the patient's condition on the basis of data in the medical record at the time of the endarterectomy, regression analyses were used to predict the postoperative stroke, heart attack, and 30-day death rate as a function of patient, physician, and hospital characteristics. SETTING: Three geographic areas (states or large parts of states; average population, 3 million) in the United States. PATIENTS: Random sample of 1302 patients 65 years of age or older having carotid endarterectomy in 1981. INTERVENTION: Carotid endarterectomy. MEASUREMENTS AND MAIN RESULTS: Of 1302 patients, 11.3% had a postoperative stroke or heart attack or died within 30 days of the operation. Patient age, race, income, and gender; physician volume, board certification status, and age; and hospital size, for-profit status, ownership, and teaching status were not significantly related to the postoperative complication or death rate. If the surgeon was a graduate of a foreign, but not a Western European or Canadian, medical school, however, the average complication or death rate rose from 10.4% to 19.6% (P less than 0.05). CONCLUSIONS: The effectiveness of carotid endarterectomy depends heavily on its complication rate. Because complications after surgery cannot, in general, be predicted from structural variables, referring physicians cannot rely solely on the surgeon's experience and qualifications when recommending a carotid endarterectomy. The surgeon's and the hospital's actual postoperative complication and death rate should be considered.

Age Factors↗
PubMed1990

Predicting the appropriate use of carotid endarterectomy, upper gastrointestinal endoscopy, and coronary angiography.

BACKGROUND AND METHODS: In a nationally representative population 65 years of age or older, we have demonstrated that about one quarter of coronary angiographies and upper gastrointestinal endoscopies and two thirds of carotid endarterectomies were performed for reasons that were less than medically appropriate. In this paper we examine whether specific characteristics of patients (age, sex, and race), physicians (age, board-certification status, and experience with the procedure), or hospitals (teaching status, profit-making status, and size) predict whether a procedure will be performed appropriately. RESULTS: In general, we found that little of the variability in the appropriateness of care (4 percent or less) could be explained on the basis of standard, easily obtainable data about the patient, the physician, or the hospital. For all three procedures, however, performance in a teaching hospital increased the likelihood that the reasons would be medically appropriate (P = 0.09 for angiography, P = 0.30 for endoscopy, and P less than 0.01 for endarterectomy). In addition, angiographies were more often performed for appropriate reasons in older or more affluent patients (P less than 0.01 for both). Being treated by a surgeon who performed a high rather than a low number of procedures decreased the likelihood of an appropriate endarterectomy by one third, from 40 to 28 percent (P less than 0.01). CONCLUSIONS: Appropriateness of care cannot be closely predicted from many easily determined characteristics of patients, physicians, or hospitals. Thus, for the present, if appropriateness is to be improved it will have to be assessed directly at the level of each patient, hospital, and physician.

Aged↗
PubMed1990

Explaining variations in hospital death rates. Randomness, severity of illness, quality of care.

We used administrative (Part A Medicare) data to identify a representative sample of 1126 patients with congestive heart failure and 1150 with acute myocardial infarction in hospitals with significant unexpectedly high inpatient, age-sex-race-disease-specific death rates ("targeted") vs all other ("untargeted") hospitals in four states. Although death rates in targeted hospitals were 5.0 to 10.9 higher per 100 admissions than in untargeted hospitals, 56% to 82% of the excess could result from purely random variation. Differences in the quality of the process of care (based on a medical record review) could not explain the remaining statistically significant differences in mortality. Comparing targeted hospitals with subsets of untargeted ones, eg, those with lower than expected death rates, did not affect this conclusion. Severity of illness explained up to 2.8 excess deaths per 100 admissions for patients with myocardial infarction. Identifying hospitals that provide poor-quality care based on administrative data and single-year death rates is unlikely; targeting based on time periods greater than 1 year may be better.

Aged↗
PubMed1989

Differences among hospitals in Medicare patient mortality.

Using hospital discharge abstract data for fiscal year 1984 for all acute care hospitals treating Medicare patients (age greater than or equal to 65), we measured four mortality rates: inpatient deaths, deaths within 30 days after discharge, and deaths within two fixed periods following admission (30 days, and the 95th percentile length of stay for each condition). The metric of interest was the probability that a hospital would have as many deaths as it did (taking age, race, and sex into account). Differences among hospitals in inpatient death rates were large and significant (p less than .05) for 22 of 48 specific conditions studied and for all conditions together; among these 22 "high-variation" conditions, medical conditions accounted for far more deaths than did surgical conditions. We compared pairs of conditions in terms of hospital rankings by probability of observed numbers of inpatient deaths; we found relatively low correlations (Spearman correlation coefficients of 0.3 or lower) for most comparisons except between a few surgical conditions. When we compared different pairs of the four death measures on their rankings of hospitals by probabilities of the observed numbers of deaths, the correlations were moderate to high (Spearman correlation coefficients of 0.54 to 0.99). Hospitals with low probabilities of the number of observed deaths were not distributed randomly geographically; a small number of states had significantly more than their share of these hospitals (p less than .01). Information from hospital discharge abstract data is insufficient to determine the extent to which differences in severity of illness or quality of care account for this marked variability, so data on hospital death rates cannot now be used to draw inferences about quality of care. The magnitude of variability in death rates and the geographic clustering of facilities with low probabilities, however, both argue for further study of hospital death rates. These data may prove most useful as a screening mechanism to identify patterns of potentially poor quality of care. Careful choice of the mortality measure used is needed, however, to maximize the probability of identifying those hospitals, and only those hospitals, warranting more in-depth review.

Aged↗
PubMed1987

Does inappropriate use explain geographic variations in the use of health care services? A study of three procedures.

We studied the appropriateness of use of coronary angiography, carotid endarterectomy, and upper gastrointestinal tract endoscopy and its relationship to geographic variations in the rates of use of these procedures. We selected geographic areas of high, average, and low use of these procedures and randomly sampled Medicare beneficiaries who had received one of the procedures in 1981. We determined the indications for the procedures using a detailed review of medical records and used previously developed ratings of appropriateness to assign an appropriateness score to each case. Differences among sites in levels of appropriateness were small. For example, in the high-use site for coronary angiography, 72% of the procedures were appropriate, compared with 81% in the low-use site. Coronary angiography was performed 2.3 times as frequently in the high-use site compared with the low-use site. Under the conditions of this study, we did find significantly levels of inappropriate use: 17% of cases for coronary angiography, 32% for carotid endarterectomy, and 17% for upper gastrointestinal tract endoscopy. We conclude that differences in appropriateness cannot explain geographic variations in the use of these procedures.

Carotid Arteries↗
PubMed1986

Variations in the use of medical and surgical services by the Medicare population.

We measured geographic differences in the use of medical and surgical services during 1981 by Medicare beneficiaries (age greater than or equal to 65) in 13 large areas of the United States. The average number of Medicare beneficiaries per site was 340,000. We found large and significant differences in the use of services provided by all medical and surgical specialties. Of 123 procedures studied, 67 showed at least threefold differences between sites with the highest and lowest rates of use. Use rates were not consistently high in one site, but rates for procedures used to diagnose and treat a specific disease varied together, as did alternative treatments for the same condition. These results cannot be explained by the actions of a small number of physicians. We do not know whether physicians in high-use areas performed too many procedures, whether physicians in low-use areas performed too few, or whether neither or both of these explanations are accurate. However, we do know that the differences are too large to ignore and that unless they are understood at a clinical level, uninformed policy decisions that have adverse effects on the health of the elderly may be made.

Aged↗
PubMed1986

Pathologic evaluation of thymic hyperplasia in myasthenia gravis and Lambert-Eaton myasthenic syndrome.

Eleven thymectomy specimens from patients with myasthenia gravis or Lambert-Eaton myasthenic syndrome were thoroughly sectioned. The results were compared with the routine surgical pathology reports that were based on a median of four sections. Routine sampling was found to be inadequate because the thymectomy specimens were inhomogeneous--some random sections contained germinal centers while others did not. Thus, on more thorough examination, about half of the specimens should have been diagnosed as showing "follicular hyperplasia" rather than "no diagnostic change" or "involution." This helps explain the conflicting results of previous studies, based when stated on a mean of three sections, in which favorable response to thymectomy in patients with myasthenia gravis was either not correlated with the thymus histologic state or correlated variously with few or numerous germinal centers. Thus, nondiagnostic histologic findings based on only one or two thymus sections should be suspect, and if in doubt a larger number of sections should be examined for accurate pathologic diagnosis.

Adolescent↗