Introduction Understanding the views of the public is essential if generally acceptable policies are to be devised that balance research access to general practice patient records with protection of patients' privacy. However, few large studies have been conducted about public attitudes to research access to personal health information. Methods A mixed methods study was performed. Informed by focus groups and literature review, a questionnaire was designed which assessed attitudes to research access to personal health information and factors that influence these. (...) A postal survey was conducted of an electoral roll-based sample of the adult population of Ireland. Results Completed questionnaires were returned by 1575 (40.6%). Among the respondents, 67.5% were unwilling to allow GPs to decide when researchers could access identifiable personal health information. However, 89.5% said they would agree to ongoing consent arrangements, allowing the sharing by GPs of anonymous personal health information with researchers without the need for consent on a study-by-study basis. Increasing age (by each 10-year increment), being retired and primary level education only were significantly associated with an increased likelihood of agreeing that any personal health information could be shared on an ongoing basis: OR 1.39 (95% CI 1.18 to 1.63), 2.00 (95% CI 1.22 to 3.29) and 3.91 (95% CI 1.95 to 7.85), respectively. Conclusions Although survey data can be prone to response biases, this study suggests that prior consent agreements allowing the supply by GPs of anonymous personal health information to researchers may be widely supported, and that populations willing to opt in to such arrangements may be sufficiently representative to facilitate valid and robust consent-dependent observational research. (shrink)

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of the ethical implications (...) of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: informed consent, privacy, ownership, epistemology and objectivity, and ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: the dangers of ignoring group-level ethical harms; the importance of epistemology in assessing the ethics of Big Data; the changing nature of fiduciary relationships that become increasingly data saturated; the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; future problems with ownership of intellectual property generated from analysis of aggregated datasets; and the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices. (shrink)

Register-based research can provide important and valuable contributions to public health research, but involves ethical issues concerning the balance of public health benefits and individual autonomy. This study aimed to describe the opinions of the Finnish public about these issues.

Proper procedures for informed consent are widely recognized as an ethical requirement for biomedical research involving human beings, in particular as a means to respect the autonomy and personal integrity of potential and actual research participants.

BackgroundStigma refers to a distinguishing personal trait that is perceived as or actually is physically, socially, or psychologically disadvantageous. Little is known about the opinion of those who have more or less stigmatizing health conditions regarding the need for consent for use of their personal information for health research.MethodsWe surveyed the opinions of people 18 years and older with seven health conditions. Participants were drawn from: physicians' offices and clinics in southern Ontario; and from a cross-Canada marketing panel of individuals (...) with the target health conditions. For each of five research scenarios presented, respondents chose one of five consent choices: (1) no need for me to know; (2) notice with opt-out; (3) broad opt-in; (4) project-specific permission; and (5) this information should not be used. Consent choices were regressed onto: demographics; health condition; and attitude measures of privacy, disclosure concern, and the benefits of health research. We conducted focus groups to discuss possible reasons for observed consent choices.ResultsWe observed substantial variation in the control that people wish to have over use of their personal information for research. However, consent choice profiles were similar across health conditions, possibly due to sampling bias. Research involving profit or requiring linkage of health information with income, education, or occupation were associated with more restrictive consent choices. People were more willing to link their health information with biological samples than with information about their income, occupation, or education.ConclusionsThe heterogeneity in consent choices suggests individuals should be offered some choice in use of their information for different types of health research, even if limited to selectively opting-out. Some of the implementation challenges could be designed into the interoperable electronic health record. However, many questions remain, including how best to capture the opinions of those who are more privacy sensitive. (shrink)

In the past ten years, there has been growing interest in and concern about protecting the privacy of personal medical information. Insofar as medical records increasingly are stored electronically, and electronic information can be shared easily and widely, there have been legislative efforts as well as scholarly analyses calling for greater privacy protections to ensure that patients can feel safe disclosing personal information to their health-care providers. At the same time, the volume of biomedical research conducted in this country continues (...) to grow. The budget of the National Institutes of Health, for example, was $20,298 million in 2001, having more than doubled from a budget of $9,218 million 10 years before. This growing body of research includes increased efforts to use stored medical records as a source of data for health services, epidemiologic, and clinical studies. (shrink)

England and Wales are moving toward a model of ‘opt out’ for use of personal confidential data in health research. Existing research does not make clear how acceptable this move is to the public. While people are typically supportive of health research, when asked to describe the ideal level of control there is a marked lack of consensus over the preferred model of consent. This study sought to investigate a relatively unexplored difference between the consent model that people prefer and (...) that which they are willing to accept. It also sought to explore any reasons for such acceptance. (shrink)