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BACKGROUND age-related differences in the treatment of lung cancer patients have been reported in the past, but most previous studies have not recorded case-mix factors, nor have they studied the impact of such ageism on survival. METHODS a questionnaire-based study of diagnostic and case-mix factors was carried out across 48 hospital Trusts in the UK(More)
BACKGROUND Nearly 3 million people in resource-poor countries receive antiretrovirals for the treatment of HIV/AIDS, yet millions more require treatment. Key barriers to treatment scale up are shortages of trained health care workers, and challenges integrating HIV/AIDS care with primary care. THE RESEARCH PALM PLUS (Practical Approach to Lung Health and(More)
BACKGROUND In low-income countries, only about a third of Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) patients eligible for anti-retroviral treatment currently receive it. Providing decentralized treatment close to where patients live is crucial to a faster scale up, however, a key obstacle is limited health system capacity(More)
BACKGROUND Only about one-third of eligible HIV/AIDS patients receive anti-retroviral treatment (ART). Decentralizing treatment is crucial to wider and more equitable access, but key obstacles are a shortage of trained healthcare workers (HCW) and challenges integrating HIV/AIDS care with other primary care. This report describes the development of a(More)
BACKGROUND The government of Malawi is committed to the broad rollout of antiretroviral treatment in Malawi in the public health sector; however one of the primary challenges has been the shortage of trained health care workers. The Practical Approach to Lung Health Plus HIV/AIDS in Malawi (PALM PLUS) package is an innovative guideline and training(More)
This paper describes an approach for integrating sociological and technical models to develop more complete threat assessment. Current approaches to analyzing and addressing threats tend to focus on the technical factors. This paper addresses development of predictive models that encompass behavioral as well as these technical factors. Using improvised(More)
Much of the data that is collected and analyzed today is structural, consisting not only of entities but also of relationships between the entities. As a result, analysis applications rely on automated structural data mining approaches to find patterns and concepts of interest. This ability to analyze structural data has become a particular challenge in(More)
Central challenges faced in the modern world are a direct result and side-effects of actions of organizations and individuals. Our interest is in computational, predictive modeling for organizational behavior to help anticipate these challenges and the effects of policy. Computational behavior modeling is increasingly addressed as a research challenge.(More)
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