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Last Updated:
01/11/2007
 Health Information Solutions supports statistical analyses for research and other purposes.
  • In collaboration with Rand, Santa Monica, we are currently involved in assessing the effect of survey mode and other factors on surveys designed to measure patient satisfaction with their medical groups.

  • In collaboration with the California Association of Thoracic Surgeons, we are looking at trends in PCI, CABG, and other heart surgery usage.

  • In collaboration with the Pacific Business Group on Health (PBGH), we studied the effects of early (within 48 hours) and very early discharge (within 24 hours) on infant re-admissions during the first 28 days of life. In an effort to assess aspects of the quality of care provided by hospitals in California, we produced risk-adjusted re-hospitalization rates for each hospital in California. PBGH has made the results of this work publicly available.

  • In another effort to assess the quality of care in California hospitals, we studied - in collaboration with the Pacific Business Group on Health - risk-adjusted cesarean section rates in California hospitals in 1995, 1996, and 1997. We supported the development of the risk-adjustment models, their evaluation, and the calculation of the risk-adjusted cesarean section rates. The results of this study are publicly available: Click here to view the results.
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    The study was based on a linked data set that consists of the vital statistics birth data, infant and maternal hospital discharge data, and maternal prenatal and postnatal admissions See also: Data Linkage.

  • We are involved in several research efforts with the Department of Obstetrics and Gynecology at the University of California at Davis.
    (For an LA Times report on one of the studies supported, click here.)

  • We were involved in a marketing research study for the California AIM (Access to Infants and Mothers) program, a program that provides health insurance for uninsured pregnant women and their children that meet certain requirements. Using GIS techniques, we are able to identify those local areas in California with the largest proportion of uninsured women with inadequate levels of prenatal care and less than optimal birth outcomes,e.g., high re-hospitalization rates or percentages of low birth weight babies.