View clinical trials related to Data Sharing.
Filter by:Patient data from clinical records are increasingly recognised as a valuable resource and a number of global initiatives exist to promote and enable the sharing of data. However, some mental health service-users have expressed concerns about the use of their data by services, but these have not been explored in depth and the acceptable limits of data sharing remain unclear. The purpose of the study is to present different approaches to data sharing, with examples taken from across the world, varying in levels of anonymity and amounts of data stored and shared, with a view to extracting relevant principles directly from mental health service users. The primary objective of this study is to understand from service-users the limits of acceptable pseudonymised data sharing and data collection methods. This will inform the wider scientific community about any emerging questions and issues on pseudonymised clinical data sharing. We aim to explore the level of benefit service-users would accept, in exchange for the level of pseudonymised data they provide. Additionally, this study aims to investigate what service-users consider "identifiable" data, for example whether they consider demographic or location data or purely their real name to be identifiable. This study will ensure service-user views are an integral contribution to future pseudonymised data sharing systems, maximising applicability and acceptability. This study will use qualitative methods, in the form of focus groups, to gather service-user views. Focus groups will consider what participants believe to be identifiable data, who should get access, how should individuals and/or companies get access, how should data be protected and whether these answers change if pertaining to mental health information. Focus group data will be analysed using thematic analysis. Themes produced will be presented to participants in a second focus group. Participants will be encouraged to expand or change anything.
In recent years, Mahidol Oxford Tropical Medicine Research Unit (MORU) has coordinated some of the largest international studies involving many sites in low-income and hard-to-reach settings. It has been our policy for many years to support sharing of data across collaborative research networks in order to maximize their utility. However there is increasing support from research funders, regulatory agencies and journals for sharing individual-level data from genomic, medical and public health research beyond research collaborations. A number of potential advantages of sharing individual level data from clinical and public health research have been identified in the literature. These include maximizing the utility of data, allowing verification of research results, and minimizing the burdens and costs of unnecessary duplication of research. In low- and middle-income settings it may be particularly important to effectively share data to maximize its utility and enable timely responses to important public health issues such as resistance to antimalarial treatments. Many authors have called for data sharing to be carefully curated, to minimize potential harms including breaches of privacy, the publication of poor quality or biased secondary research, and insufficient acknowledgment of the contribution of researchers generating datasets. In low- and middle-income settings, the need for data sharing policies and processes to promote equitable use of data, including the development of sustainable capacity to both share and analyse datasets, has been recognized. It is foreseeable that the impact of this policy will be significant both practically and ethically. In the practical sense, there have already been changes in our data management processes and resources, clinical trial agreements and negotiations with collaborators. Ethically, this policy has impact on the consent process which includes the increasing use of broad consent, the changes in the language of information sheets, study protocols and ethics application documents and the actual consent taking by research staff. Now that that these new data-sharing mechanisms have been put in place there is a need to evaluate their impact on practice. The aim of this study is to identify and analyse ethical challenges related to consent following implementation of a new data sharing policy with the aim of refining the data sharing policy and its related consent processes