2 research outputs found

    Corruption In Health Care Systems: Trends In Informal Payments Across Twenty-Eight EU Countries, 2013-19

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    Corruption is a major challenge in health care systems across the European Union (EU), where it manifests most visibly as informal payments from patients to providers. A higher prevalence of informal payments has been associated with lower public health care expenditure. EU member states have experienced significant changes in public health care expenditure throughout the 2000s. Given the lack of research on the topic, we explored trends in informal payments using representative data from twenty-eight EU member states during the period 2013-19 and in relation to changes in public health care expenditure. Overall, we found that informal payments increased in 2019 compared with 2013, whereas the perception of corruption decreased. Although higher public health care expenditure was associated with less corruption, we found a smaller effect size between informal payments and this expenditure throughout the study period. Our results suggest that informal payments may be driven by other factors, although the directionality of this relationship requires further investigation. Moreover, additional public health care investments may be insufficient to confront corruption unless coupled with measures to limit wasteful spending and increase transparency. Policy makers should understand that factors external to health systems, including media coverage and cultural and political factors, should be explored to explain country-level differences in corruption

    The independent contribution of brain, spinal cord and gadolinium MRI in treatment decision in multiple sclerosis: A population-based retrospective study

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    Spinal cord and gadolinium (Gd)-enhanced magnetic resonance imaging (MRI) can provide additional information to brain MRI to determine prognosis of multiple sclerosis (MS). However, the real-world impact of routine use of brain MRI with spinal cord and/or Gd sequences is unknown. Our aim was to evaluate the effect of brain, spinal cord and Gd MRI on treatment decisions in MS
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