Risk screening in a medicare/medicaid population administrative data versus self report.

OBJECTIVE: To compare the abilities of two validated indices, one survey-based and the other database-derived, to prospectively identify high-cost, dual-eligible Medicare/Medicaid members. DESIGN: A longitudinal cohort study. SETTING: A Medicaid health maintenance organization in Philadelphia, Pa. PARTICIPANTS: HMO enrollees (N = 558) 65 years and older eligible for both Medicare and Medicaid. MEASUREMENTS AND MAIN RESULTS: Two hundred ninety six patients responded to a survey containing the Probability of Repeat Admission Questionnaire (Pra) between October and November 1998. Using readily available administrative data, we created an administrative proxy for the Pra. Choosing a cut point of 0.40 for both indices maximized sensitivity at 55% for the administrative proxy and 50% for the survey Pra. This classification yielded 103 high-risk patients by administrative proxy and 73 by survey Pra. High-cost patients averaged at least 2.3 times the resource utilization during the 6-month follow-up. Correlation between the two scores was 0.53, and the scales disagreed on high-cost risk in 78 patients (54 high-cost by administrative proxy only, and 24 high-cost by survey Pra only). These two discordant groups utilized intermediate levels of resources, $2,171 and $2,794, that were not statistically significantly different between the two groups (probability > chi2 =.66). Receiver operating characteristic curve areas (0.68 for survey Pra and administrative proxy for respondents, and 0.67 by administrative proxy for nonrespondents) revealed similar overall discriminative abilities for the two instruments for costs. CONCLUSIONS: The Medicaid/Medicare dual-eligible population responded to the survey Pra at a rate of 53%, limiting its practical utility as a screening instrument. Using a cut point of 0.40, the administrative proxy performed as well as the survey Pra in this population and was equally applicable to nonrespondents. The time lag inherent in database screening limits its applicability for new patients, but combining database-driven and survey-based approaches holds promise for targeting patients who might benefit from case management intervention.

Antiaging therapy: an overview.

Today's researchers are exploring caloric restriction, cell-based therapies, hormonal therapies, and genetic manipulations. So far, caloric restriction has the soundest basis, and estrogen replacement is among the interventions most widely used. As the human genome is studied, treatments with genetic mechanisms move all the closer to becoming reality.

Self-reported quality of life across mood states in bipolar disorder.

In distinction to the classic conceptualization of mania and hypomania, a growing body of work indicates that these episodes are not typically characterized by euphoric mood and sense of increased well-being, but rather by significant dysphoric symptoms. However, few data exist concerning self-perceived quality of life in mania or hypomania. Such data are important both for better understanding of the illness, and are particularly important for developing appropriate cost-utility studies. Accordingly, we hypothesized that two measures of self-reported quality of life, the mental subscale of the Short Form-12 (SF-12) and the EuroQol, would show reduced quality of life in patients in manic/hypomanic or mixed episodes, compared to those who were euthymic. Eighty-six patients with bipolar disorder from four Department of Veterans Affairs (VA) medical centers were assessed in a cross-sectional design. Mood state was categorized by physician diagnosis and separately by patient self-report using the Internal State Scale (ISS). Self-reported quality of life was quantified using the SF-12 and EuroQol. Findings were identical regardless of how mood state was determined. The SF-12 mental subscale and EuroQol differed significantly across mood states. Patients with mania/hypomania were either less than (SF-12 mental subscale) or equal to (EuroQol) euthymic patients, while patients in a mixed episode resembled those in a depressive episode on both indices. In contrast, SF-12 physical subscale scores showed no intergroup differences. These quality-of-life data provide further support for the conceptualization that mania and hypomania are syndromes characterized by reduced, rather than increased, sense of well-being and quality of life. Moreover, depressive symptoms appear to be the primary determinant of quality of life in bipolar disorder, although other factors may be associated with both depression and reduced quality of life in bipolar disorder.

The Internal State Scale: replication of its discriminating abilities in a multisite, public sector sample.

OBJECTIVE: The Internal State Scale (ISS) is a self-report instrument that has been validated for discriminating mood states in patients with bipolar disorder. This study a) extends investigation to a multisite public sector sample and b) tests a revised scoring algorithm that formally identifies patients in mixed states. METHODS: Eighty-six patients with bipolar disorder from four Veterans Affairs medical centers were assessed in a cross-sectional design. Physician-conducted semi-structured interviews used DSM-IV criteria to identify subjects as meeting criteria for euthymia, mania or hypomania, depression, or mixed state (mania or hypomania plus depression). A revised ISS scoring algorithm independently assigned mood state. Mean subscale scores were analyzed across groups. Receiver-operating characteristic (ROC) curve analysis was conducted to determine optimal algorithm structure. RESULTS: Analysis of mean scores for the ISS subscales replicated original results for Activation, Well-Being, and Perceived Conflict, but indicated differences from the original results for the Depression Index. The ROC curve analysis identified optimal cut-off scores for the revised algorithm. The overall kappa score indicated moderate agreement between ISS and physician ratings of mood state, including mixed states. LIMITATIONS: The study used a sample consisting primarily of male veterans. Mood state was assigned by experts using expert clinician diagnosis, not structured interviews. CONCLUSION: The performance of the ISS in this multisite, public sector sample was similar to the performance in the initial research clinic sample. This finding confirms the validity of the ISS as a discriminator of mood states in bipolar disorder. The development of a revised scoring algorithm makes feasible formal identification of mixed episodes with the ISS.