National Bioterrorism Syndromic Surveillance Demonstration Program.

The National Bioterrorism Syndromic Surveillance Demonstration Program identifies new cases of illness from electronic ambulatory patient records. Its goals are to use data from health plans and practice groups to detect localized outbreaks and to facilitate rapid public health follow-up. Data are extracted nightly on patient encounters occurring during the previous 24 hours. Visits or calls with diagnostic codes corresponding to syndromes of interest are counted; repeat encounters are excluded. Daily counts of syndromes by zip code are sent to a central data repository, where they are statistically analyzed for unusual clustering by using a model-adjusted SaTScan approach. The results and raw data are displayed on a restricted website. Patient-level information stays at the originating health-care organization unless required by public health authorities. If a cluster surpasses a threshold of statistical aberration chosen by the corresponding public health department, an electronic alert can be sent to that department. The health department might then call a clinical responder, who has electronic access to records of cases contributing to clusters. The system is flexible, allowing for changes in participating organizations, syndrome definitions, and alert thresholds. It is transparent to clinicians and has been accepted by the health-care organizations that provide the data. The system's data are usable by local and national health agencies. Its software is compatible with commonly used systems and software and is mostly open-source. Ongoing activities include evaluating the system's ability to detect naturally occurring outbreaks and simulated terrorism events, automating and testing alerts and response capability, and evaluating alternative data sources.

Extending health maintenance organization insurance to the uninsured. A controlled measure of health care utilization.

OBJECTIVE: To investigate the utilization of health care services of previously uninsured low-income patients after becoming insured by a health maintenance organization (HMO). DESIGN: Retrospective study of utilization in a previously uninsured study group compared with an age- and sex-matched randomly selected control group of commercial HMO enrollees. SETTING: Group model HMO. PATIENTS: A study group of 346 previously uninsured low-income patients and 382 controls. MEASURES: utpatient visits for primary and specialty care, outpatient pharmacy, laboratory, and radiology use, and inpatient admissions and hospital days over a 2-year period. Self-reported health status measures were obtained to control for differences in health status. PRINCIPAL FINDINGS: There were no differences between the study and control groups in hospital admissions, hospital days, and measures of outpatient laboratory, pharmacy, and radiology use. The odds of having an outpatient visit per patient per month was 30% higher for the study group. Approximately half the increase in the odds ratio for outpatient visits was related to the worse self-perceived health status of the study group. While both groups utilized more services in the early phase of their enrollment, the intensity of this start-up effect was similar for both groups. CONCLUSIONS: Compared with a commercial group of the same age and sex, the patterns of utilization were similar and the financial costs of care were only moderately more for a previously uninsured group provided with comprehensive HMO insurance. With the growth of managed care, these data should be beneficial in the development of health care programs for the growing number of uninsured Americans.