Clinical metric and medication persistency effects: evidence from a Medicaid care management program.

The objective was to estimate clinical metric and medication persistency impacts of a care management program. The data sources were Medicaid administrative claims for a sample population of 32,334 noninstitutionalized Medicaid-only aged, blind, or disabled patients with diagnosed conditions of asthma, coronary artery disease, chronic obstructive pulmonary disease, diabetes, or heart failure between 2005 and 2009. Multivariate regression analysis was used to test the hypothesis that exposure to a care management intervention increased the likelihood of having the appropriate medication or procedures performed, as well as increased medication persistency. Statistically significant clinical metric improvements occurred in each of the 5 conditions studied. Increased medication persistency was found for beta-blocker medication for members with coronary artery disease, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and diuretic medications for members with heart failure, bronchodilator and corticosteroid medications for members with chronic obstructive pulmonary disease, and aspirin/antiplatelet medications for members with diabetes. This study demonstrates that a care management program increases the likelihood of having an appropriate medication dispensed and/or an appropriate clinical test performed, as well as increased likelihood of medication persistency, in people with chronic conditions.

Dose-response effects for depression and Schizophrenia management on hospital utilization in Illinois Medicaid: a multivariate regression analysis.

BACKGROUND: The prevalence of schizophrenia and depression in the United States is far higher among Medicaid recipients than in the general population. Individuals suffering from mental illness, including schizophrenia and depression, also have higher rates of emergency department utilization, which is costly and may not generate the positive health outcomes desired. Disease management programs strive to help individuals suffering from chronic illnesses better manage their condition(s) and seek health care in the appropriate settings. The objective of this manuscript is to estimate a dose-response impact on hospital inpatient and emergency room utilizations for any reason by Medicaid recipients with depression or schizophrenia who received disease management contacts. METHODS: Multivariate regression analysis of panel data taken from administrative claims was conducted to test the hypothesis that increased contacts lower the likelihood of all-cause inpatient admissions and emergency room visits. Subjects included 6,274 members of Illinois' non-institutionalized Medicaid-only aged, blind or disabled population diagnosed with depression or schizophrenia. The statistical measure is the odds ratio. The odds ratio association is between the monthly utilization indicators and the number of contacts (doses) a member had for each particular disease management intervention. RESULTS: Higher numbers of intervention contacts for Medicaid recipients diagnosed with depression or schizophrenia were associated with statistically significant reductions in all-cause inpatient admissions and emergency room utilizations. CONCLUSIONS: There is a high correlation between depression and schizophrenia disease management contacts and lowered all-cause hospital inpatient and emergency room utilizations.

Dose-response effects for disease management programs on hospital utilization in Illinois Medicaid.

The objective of this study is to estimate a dose-response impact of disease management contacts on inpatient admissions. Multivariate regression analysis of panel data was used to test the hypothesis that increased disease management contacts lower the odds of an inpatient admission. Subjects were 40,452 members of Illinois' noninstitutionalized Medicaid-only aged, blind, or disabled population diagnosed with asthma, coronary artery disease, chronic obstructive pulmonary disease, diabetes, and/or heart failure. All members are also in the state's Illinois Health Connect program, a medical home strategy in place for most of the 2.4 million Illinois Medicaid beneficiaries. The statistical measure is the odds ratio, which is a measure of association between the monthly inpatient admission indicator and the number of contacts (doses) a member has had for each particular disease management intervention. Statistically significant contacts are between 8 and 12 for heart failure, between 4 and 12 contacts for diabetes, and between 8 and 13 contacts for asthma. Total inpatient savings during the study period is estimated to be $12.4 million. This study shows the dose-response pattern of inpatient utilization improvements through the number of disease management contacts.

Analysis of pigmented inkjet printer inks and printed documents by laser desorption/mass spectrometry.

Anyone with a computer, scanner, and color printer has the capability for creating documents such as identification cards, passports, and counterfeit currency. Laser desorption mass spectrometry (LDMS) has been demonstrated as a powerful tool for colorant analysis. Inkjet printers are now moving largely toward the use of pigments as colorants; their insolubility makes analysis by simpler methods such as thin-layer chromatography no longer an option. Recent developments in pigmented inkjet printer inks, such as gloss optimizers that coat pigment particles, may prohibit colorant analysis by LDMS. We demonstrate here that pigments used in inks from two Epson printers can be detected and analyzed by LDMS. Also, LDMS spectra of various colors created using a 4-cartridge (cyan/magenta/yellow/black, CMYK) inkset are evaluated, to begin to develop an approach for unraveling LDMS data from real samples, to determine the number of inks used by a printer, and the chemical composition of the colorants.