In: Bulletin of the World Health Organization: the international journal of public health = Bulletin de l'Organisation Mondiale de la Santé, Band 85, Heft 11, S. 833-842
A state-transition model of HIV disease was used to project the costs to Medicaid, Medicare, and AIDS Drug Assistance Programs of proposed Section 1115 Medicaid demonstration projects for the early treatment of HIV-infected patients in Georgia and Massachusetts. Neither demonstration project was projected to meet 5-year tests of no increase in Federal spending and in both States average patient costs to all payers were highest in the first year after enrollment. In assessing expanded health care access for patients with chronic diseases, government payers should consider overall budgetary effects and separately analyze costs for each year's enrollees to avoid creating incentives to cap enrollments.
Objectives. This study was designed to examine the societal cost-effectiveness and the impact on government payers of earlier initiation of antiretroviral therapy for uninsured HIV-infected adults.
In: Bulletin of the World Health Organization: the international journal of public health = Bulletin de l'Organisation Mondiale de la Santé, Band 95, Heft 9, S. 629-638
<i>Background:</i> In recent decades, extensive resources have been invested to develop cellular, molecular and genomic technologies with clinical applications that span the continuum of cancer care. <i>Methods:</i> In December 2006, the National Cancer Institute sponsored the first workshop to uniquely examine the state of health services research on cancer-related cellular, molecular and genomic technologies and identify challenges and priorities for expanding the evidence base on their effectiveness in routine care. <i>Results:</i> This article summarizes the workshop outcomes, which included development of a comprehensive research agenda that incorporates health and safety endpoints, utilization patterns, patient and provider preferences, quality of care and access, disparities, economics and decision modeling, trends in cancer outcomes, and health-related quality of life among target populations. <i>Conclusions:</i> Ultimately, the successful adoption of useful technologies will depend on understanding and influencing the patient, provider, health care system and societal factors that contribute to their uptake and effectiveness in 'real-world' settings.