The main purpose of this practice paper is to describe and analyse the possibilities and complexities of integrated health care across borders. First, we portray an ideal scenario for this type of care with a case of patients suffering from rheumatoid arthritis and living in the Dutch-Belgian frontier area. It shows how cross border care enhances continuity of care/tailor-made care and the other way around. Secondly, based on different literature sources, we describe actual regulations on health care across borders. We show that these regulations can be a major hindrance to integrated care. This raises questions on the scope and content of policies directed at both cross border and integrated care.
AbstractArtificial intelligence (AI) is being increasingly applied in healthcare. The expansion of AI in healthcare necessitates AI-related ethical issues to be studied and addressed. This systematic scoping review was conducted to identify the ethical issues of AI application in healthcare, to highlight gaps, and to propose steps to move towards an evidence-informed approach for addressing them. A systematic search was conducted to retrieve all articles examining the ethical aspects of AI application in healthcare from Medline (PubMed) and Embase (OVID), published between 2010 and July 21, 2020. The search terms were "artificial intelligence" or "machine learning" or "deep learning" in combination with "ethics" or "bioethics". The studies were selected utilizing a PRISMA flowchart and predefined inclusion criteria. Ethical principles of respect for human autonomy, prevention of harm, fairness, explicability, and privacy were charted. The search yielded 2166 articles, of which 18 articles were selected for data charting on the basis of the predefined inclusion criteria. The focus of many articles was a general discussion about ethics and AI. Nevertheless, there was limited examination of ethical principles in terms of consideration for design or deployment of AI in most retrieved studies. In the few instances where ethical principles were considered, fairness, preservation of human autonomy, explicability and privacy were equally discussed. The principle of prevention of harm was the least explored topic. Practical tools for testing and upholding ethical requirements across the lifecycle of AI-based technologies are largely absent from the body of reported evidence. In addition, the perspective of different stakeholders is largely missing.
<i>Objectives:</i> To evaluate prenatal screening methods for Down syndrome and neural tube defects (NTD) with regard to costs per detected case and the number of screening-related miscarriages. <i>Methods:</i> The screening methods compared were risk assessment tests, i.e. serum tests and nuchal translucency measurement (NT), and invasive testing through chorionic villus sampling (CVS) or amniocentesis. Costs, the number of cases detected and screening-related miscarriages were calculated using a decision tree model. <i>Results:</i> The costs per detected case of Down syndrome ranged from EUR 98,000 for the first-trimester (serum) double test to EUR 191,000 for invasive testing. If NTD detection was included, the (serum) triple test had the lowest costs, EUR 73,000, per detected case of Down syndrome or NTD. The number of screening-related miscarriages due to invasive diagnostic tests varied from 13 per 100,000 women for the (serum) first- and second-trimester combined test to 914 per 100,000 women for invasive testing. <i>Conclusions:</i> Considering screening for both Down syndrome and NTD favors the triple test in terms of costs per detected case. Compared to invasive testing, risk assessment tests in general substantially lower screening-related miscarriages, which raises the question of whether invasive testing should still be offered in a screening program for Down syndrome.
AbstractSevere developmental disability in children affects the life of the child and entire household. We conducted a qualitative study to understand how caregivers manage severe developmental disabilities in children in rural Africa. Families and six children (out of 15 children) who had serious permanent sequelae from a cerebral infection in Handeni, Tanzania, were contacted and invited to a workshop to recount their experience living with severe developmental disabilities. After consent, individual interviews were conducted first through recording of individual digital stories and then through individual semi-structured interviews. Pre-determined key categories were used to analyse the data. Our results showed that developmental disabilities required constant care and reduced the autonomy of the children. Schooling had not been attempted or was halted because of learning problems or inability to meet specialized school costs. Parents were under constant physical, emotional and financial stress. Their occupational earnings decreased. Some families sold their assets to survive. Others began to rely on relatives. Understanding the consequences of developmental disability helps to identify where social support should be focused and improved.
Introduction: Tobacco smoking claims 700 000 lives every year in Europe and the cost of tobacco smoking in the EU is estimated between €98 and €130 billion annually; direct medical care costs and indirect costs such as workday losses each represent half of this amount. Policymakers all across Europe are in need of bespoke information on the economic and wider returns of investing in evidence-based tobacco control, including smoking cessation agendas. EQUIPT is designed to test the transferability of one such economic evidence base—the English Tobacco Return on Investment (ROI) tool—to other EU member states. Methods and analysis: EQUIPT is a multicentre, interdisciplinary comparative effectiveness research study in public health. The Tobacco ROI tool already developed in England by the National Institute for Health and Care Excellence (NICE) will be adapted to meet the needs of European decision-makers, following transferability criteria. Stakeholders' needs and intention to use ROI tools in sample countries (Germany, Hungary, Spain and the Netherlands) will be analysed through interviews and surveys and complemented by secondary analysis of the contextual and other factors. Informed by this contextual analysis, the next phase will develop country-specific ROI tools in sample countries using a mix of economic modelling and Visual Basic programming. The results from the country-specific ROI models will then be compared to derive policy proposals that are transferable to other EU states, from which a centralised web tool will be developed. This will then be made available to stakeholders to cater for different decision-making contexts across Europe. Ethics and dissemination: The Brunel University Ethics Committee and relevant authorities in each of the participating countries approved the protocol. EQUIPT has a dedicated work package on dissemination, focusing on stakeholders' communication needs. Results will be disseminated via peer-reviewed publications, e-learning resources and policy briefs. ...