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A Beiser

Publications and source records attributed to A Beiser.

23 records · Page 2Linked to original sources

Adjusting Medicare capitation payments using prior hospitalization data.

The diagnostic cost group approach to a reimbursement model for health maintenance organizations is presented. Diagnostic information about previous hospitalizations is used to create empirically determined risk groups, using only diagnoses involving little or no discretion in the decision to hospitalize. Diagnostic cost group and other models (including Medicare's current formula and other prior-use models) are tested for their ability to predict future costs, using R2 values and new measures of predictive performance. The diagnostic cost group models perform relatively well with respect to a range of criteria, including administrative feasibility, resistance to provider manipulation, and statistical accuracy.

Capitation Fee↗

A prospective randomized trial of outpatient versus inpatient cardiac catheterization.

To evaluate the safety and cost of outpatient cardiac catheterization, we conducted a randomized trial at three hospitals of outpatient (n = 192) as compared with inpatient (n = 189) cardiac catheterization in low-risk patients. Outpatients had the following complication rates as compared with inpatients: hematoma, 12 versus 8.5 percent; numbness or weakness of extremity, 0.5 versus 1.6 percent; cold or blue extremity, 1.6 versus 1.1 percent; and acute myocardial infarction, 1.6 versus 0.5 percent. None of these differences were statistically significant. No deaths or strokes occurred in either group. Twenty-three patients (12 percent) assigned to the outpatient group required hospitalization because of complications of catheterization. In the outpatient group, the relative risk for hematoma was 1.42 (95 percent confidence interval, 0.77 to 2.29), and the relative risk for myocardial infarction within one week was 2.95 (95 percent confidence interval, 0.3 to 28.1). There were no significant differences between the two groups in whether they resumed normal activities or in the rates of rehospitalization within one week of the procedure. Total catheterization-related charges per patient were $679 lower for outpatients, with a savings in total hospital charges (including charges for subsequent therapeutic procedures) of $885 per patient. We conclude that elective cardiac catheterization as an outpatient procedure for selected patients is feasible and safe. Given the small size of our sample, however, we urge caution in interpreting these findings, since they do not exclude a small increase in complication rates with outpatient cardiac catheterization.

Ambulatory Care↗

Comparison of efficiency of cardiologists and internists in managing patients with suspected myocardial chest pain.

The charts of 56 patients with chest pain who were admitted to the critical care units to rule out myocardial infarction were evaluated concurrently and retrospectively to compare the efficiency of cardiologists and internists. The number of unnecessary days used to rule out myocardial infarction, the number of unnecessary inhospital days used after ruling out myocardial infarction, the length of cardiac work-up, and the length of hospital stay were determined for 23 patients of cardiologists and 33 patients of internists. The cardiologists' patients had fewer unnecessary days after ruling out myocardial infarction (2.76 vs. 0.43 days, p less than .01) and a shorter length of hospital stay (5.15 vs. 2.91 days, p less than .02). We concluded that consideration should be given to increasing and refining the supplementary role of physician-experts to primary care physicians as one means of improved resource allocation.

Angina Pectoris↗

Prehospital advanced life support: benefits in trauma.

The Boston Emergency Medical Service system was studied to determine the effects of Advanced Life Support (ALS) prehospital trauma care compared to Basic Life Support (BLS) treatment. The severity of injury and clinical status of patients was defined and monitored using the Trauma Score (TS) described by Champion. The TS on arrival at the hospital increased significantly more for patients receiving field ALS care than for patients transported by BLS ambulances (p = 0.01). ALS resuscitation had most influence on patients with TS 4-13 and did not delay transport time. Furthermore, a positive change in prehospital TS was significantly related to an increased chance of long-term survival for any given severity of injury (p = 0.0002). From these data we conclude that the TS is useful for prehospital triage and that appropriate field ALS resuscitation results in more favorable outcomes following major trauma.

Adult↗

Computing estimates of incidence, including lifetime risk: Alzheimer's disease in the Framingham Study. The Practical Incidence Estimators (PIE) macro.

The incidence of disease is estimated in medical and public health applications using various different techniques presented in the statistical and epidemiologic literature. Many of these methods have not yet made their way to popular statistical software packages and their application requires custom programming. We present a macro written in the SAS macro language that produces several estimates of disease incidence for use in the analysis of prospective cohort data. The development of the Practical Incidence Estimators (PIE) Macro was motivated by research in Alzheimer's Disease (AD) in the Framingham Study in which the development of AD has been prospectively assessed over an observation period of 24 years. The PIE Macro produces crude and age-specific incidence rates, overall and stratified by the levels of a grouping variable. In addition, it produces age-adjusted rates using direct standardization to the combined group. The user specifies the width of the age groups and the number of levels of the grouping variable. The PIE macro produces estimates of future risk for user-defined time periods and the remaining lifetime risk conditional on survival event-free to user-specified ages. This allows the user to investigate the impact of increasing age on the estimate of remaining lifetime risk of disease. In each case, the macro provides estimates based on traditional unadjusted cumulative incidence, and on cumulative incidence adjusted for the competing risk of death. These estimates and their respective standard errors, are provided in table form and in an output data set for graphing. The macro is designed for use with survival age as the time variable, and with age at entry into the study as the left-truncation variable; however, calendar time can be substituted for the survival time variable and the left-truncation variable can simply be set to zero. We illustrate the use of the PIE macro using Alzheimer's Disease incidence data collected in the Framingham Study.

Adult↗