Research shows that cancer decision aids increase knowledge about the benefit associated with screening and decrease levels of decisional conflict. This subsequently leads to better behavioural outcomes including participation in cancer screening programmes. The purpose of this study then, was to investigate the utility of an internet delivered CRC decisional support aid. Specific aims were to examine (1) whether changes in knowledge and attitudes after exposure to the PDS were moderated by the perceived usability and acceptability of the tool, and (2) test the degree to which perceived usability was dependent on "technophobia" as measured by computer anxiety and computer self-efficacy. Little is known about how breast cancer and beliefs about mammography relate to psychological distress assessed at the time of mammography. This study examined perceived breast cancer risk and perceived benefits and barriers to mammography in breast cancer survivors (N=64) and women with no cancer history (N =70). A key goal of this study was to examine associations between perceived risk and anxiety, depression, and mammography specific distress. In the breast imaging clinic and immediately prior to undergoing mammography, breast cancer survivors rated their perceived risk of breast cancer recurrence (M=14, SD=6) and beliefs about mammography. Women with no cancer history rated their perceived risk of developing breast cancer (M =12, SD=6). Breast cancer survivors reported higher perceived risk (p=.05) and lower perceived benefits of mammography (p = .01) compared to women with no cancer history. Perceived barriers did not differ across groups. Immediately prior to mammography, women also rated their mammography specific distress, anxiety, and depression. Levels of anxiety and depression did not differ across groups, but breast cancer survivors reported higher mammography specific distress (p<.001). Multiple linear regression analyses showed that anxiety and mammography specific distress were positively associated with perceived risk in breast cancer survivors, but these associations were not found in women with no cancer history Background: Although we have some knowledge on general practitioners' (GP) practices on sick-listing in general, there is scarce knowledge about how they make their assessments especially in the most complex cases of medically unexplained conditions. Aims: The aim of this study was to explore on considerations made by GPs when dealing with sick-listing of patients suffering from medically unexplained conditions. Materials and Methods: Data were drawn from focus-group interviews with 48 general practitioners (GP). The GPs were recruited as they participated on a course in Social Medicine. We established groups with variation regarding age, gender, nationality and work experience. Seventeen women and 31 men (15 with other nationalities) aged 32-65 accepted to participate in the interviews. The doctors had worked in general practice from 1 to 34 years. Results: Sick-listing patients with medically unexplained disorders was regarded as a very challenging task by many GPs. Trust in the patient's own story and his self-judgement is deemed crucial, but many miss hard evidence of illness and loss of function. Several factors which may influence the decision making regarding sickleave were identified: To which extent the patient manage to present his story, extensive prior knowledge of the patient, but also properties within the doctor himself: own experience as a patient, tendency to avoid conflicts and others. Strategies in dealing with sick-listing would be to initially comply with the patient's request in order to build alliance and then start to motivate for a return to work. Confrontation when they disagreed strongly on a sick note was another strategy mentioned, but at the same time risking that the patient would leave them for a more cooperative colleague. Many judged themselves as having no real power in the decisionmaking concerning sick-listing, evoking frustration in some. The LSMS data is used to estimate health and consumption spending as well as examine certain health access variables. We assessed health-related impacts on household poverty using the methodology of van Doorslaer et al. (2006) . Similarly, we constructed estimates of the proportion of the Guatemalan population incurring catastrophic levels of health expenditures to assess the financial risk of ill health using the methodology of Xu et al. (2003) . We defined catastrophic health spending (on both inpatient and outpatient) as a level of health spending that exceeds 40% of a household's ability to pay, although other thresholds are obviously possible. Results: There is both a high level and inequitable distribution of financial burden due to ill health in Guatemala. This is primarily due to low levels of insurance coverage and a heavy concentration of the uninsured among the less well off and rural populations as well as poor quality and low levels of access to public services for the poor, stagnant or declining government spending on health and increasing privatization that likely has resulted in rising treatment costs.