Population requirements for capitation planning in pediatric cardiac surgery

Article Abstract:

A proposed statistical model may help health care providers anticipate treatment charges generated by children undergoing heart surgery. Researchers calculated the population size needed to accurately predict these revenues based on the records of 750 children who had heart surgery over a 3-year period. They divided the patients into groups according to the complexity of their surgery. Each category (A through D) had a predicted cost associated with it. This model indicated that there would be 100 pediatric heart surgeries expected among a population of one million persons. The expected percentages by group would be 9.6% having a simple procedure (group A), 40% in group B, 23.5% in group C, and 26.9% having a complex procedure (group D). The accuracy of these group estimates decreased with smaller population sizes. The estimates were reasonably consistent from one year to the next.

Author: Allen, Hugh D., Davis, J. Terrance, Powers, Jean D., Cohen, Daniel M.
Models, Medical statistics, Pediatric cardiology

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Protease inhibitor-based therapy is associated with decreased HIV-related health care costs in men treated at a Veterans Administration hospital

Article Abstract:

The use of protease inhibitors (PIs) may save money in the long run by shifting more health care costs to outpatient treatment. Researchers evaluated the total cost of providing health care to 300 HIV patients treated at VA hospitals between January 1, 1995 and July 31, 1997. During this period, the average monthly cost of all AIDS drugs per patient tripled as more patients began taking PIs. However, total health care costs decreased because inpatient hospital costs dropped over 50%. For every dollar spent on PIs, $8.20 was saved on total health care costs.

Author: Smith, James W., Keiser, Philip, Nassar, Naiel, Kvanli, Mary Beth, Turner, Dianna, Skiest, Daniel, Reisch, Joan, Gregg, Clark
Protease inhibitors

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Subjects list: Evaluation, Economic aspects, Medical care, Cost of, Health care costs
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