| Literature DB >> 32197602 |
G Owen Schaefer1, Graeme Laurie2, Sumytra Menon1, Alastair V Campbell1, Teck Chuan Voo3.
Abstract
BACKGROUND: Several jurisdictions, including Singapore, Australia, New Zealand and most recently Ireland, have a public interest or public good criterion for granting waivers of consent in biomedical research using secondary health data or tissue. However, the concept of the public interest is not well defined in this context, which creates difficulties for institutions, institutional review boards (IRBs) and regulators trying to implement the criterion. MAIN TEXT: This paper clarifies how the public interest criterion can be defensibly deployed. We first explain the ethical basis for requiring waivers to only be granted to studies meeting the public interest criterion, then explore how further criteria may be set to determine the extent to which a given study can legitimately claim to be in the public interest. We propose an approach that does not attempt to measure magnitude of benefit directly, but rather takes into account metrics that are more straightforward to apply. To ensure consistent and justifiable interpretation, research institutions and IRBs should also incorporate procedural features such as transparency and public engagement in determining which studies satisfy the public interest requirement.Entities:
Keywords: Consent waivers; Ethics review; Public good; Public interest; Research ethics
Mesh:
Year: 2020 PMID: 32197602 PMCID: PMC7083029 DOI: 10.1186/s12910-020-00467-5
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Four forms of justification for use of personal data/tissue
| Subject authorisation | Data subjects may consent to the use of data or tissue for a specified purpose (specific consent), or else agree to a wider range of uses, subject to a trustworthy system of oversight (broad consent) [ |
| Anonymisation | Regulatory regimes typically exclude anonymised tissue and data from consent requirements, in part on the grounds that if it is sufficiently impracticable for someone to be able to re-identify someone in a dataset, the individual risk profile of using the data will be exceedingly low [ |
| Subject benefit | In some cases it may not be possible to obtain consent, but the research would directly benefit the subject. In this case, the benefit to the subject would have to be deemed as weightier than any privacy/autonomy interest the subject would have in limiting the use of their data or tissue. Some forms of emergency research could fall in this category, though it is unlikely to be applicable to secondary data/tissue studies under consideration here. |
| Public interest | In other cases, data cannot be anonymised,a it would not be practicable to obtain consent, and the relevant use is not of direct benefit to the individual. Still, a waiver could be justified on the grounds it contributes to the public interest. Here, that contribution to the public interest would similarly have to be sufficient to override any privacy/autonomy interest individuals may have in limiting the use of their data or tissue. |
aEither because the data is only useful in identifiable format, or because anonymisation is not feasible. The latter category is becoming increasingly true of datasets previously thought to be anonymised [15, 16]
Candidate criteria for assessing the public interest in allowing consent waiver
| Addressing a health priority | Many countries and institutions have identified top priorities in health or other areas. There are also the Sustainable Development Goals that have been set by the UN as key priorities for good health and well-being [ |
| Scientific robustness | All research should be scientifically valid in order to be approved, but studies may vary in terms of their robustness – that is, the extent to which the study as designed will be able to answer its research question(s) with a high degree of confidence. More robust studies will be more likely to contribute to generalisable knowledge, and thereby the public interest. Examples of factors contributing to robustness would be sample size, appropriateness of statistical methodology, and quality of the data. This would require independently verifiable evidence of such robustness to be submitted to any ethics decision-making body. |
| Open access of publications and datasets | As the primary output of biomedical research is knowledge that is meant to benefit future practice, allowing open access can help ensure such findings are indeed disseminated widely and have as much impact as possible [ |
| Non-patentability/copyright of findings | While patents and copyright may serve the public interest by incentivising valuable research, they can also inhibit it by raising the cost of interventions and keeping those valuable insights out of the public domain. A research project committed to ensuring findings are kept on a creative commons or similar license would have a stronger case for contribution to the public interest than one that does not. Due to funding restrictions, not all valuable research may be able to meet this criterion, but the increased use of this criterion by ethics bodies might have the effect of putting pressure on funders to at least loosen or liberalise such license. |
| Translatability | Research whose results have direct, measurable relevance to practice or policy would in virtue of this have a greater claim to contribution to the public interest. For research that is more preliminary or concerned with proof of principle, evidence may instead be put forward of ‘clinical promise’: an explanation of how the research, in combination with other studies and evidence bases, could eventually lead to translational impact. This draws on the concept ‘clinical promise’ that has recently been urged by Kimmelman and Federico as a criterion for approval of first-in-human clinical trials [ |