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Privacy and the use of health data for research

Christine M O'Keefe and Chris J Connolly
Med J Aust 2010; 193 (9): 537-541. || doi: 10.5694/j.1326-5377.2010.tb04041.x
Published online: 1 November 2010
Privacy regulation in Australia
Health-specific privacy laws

The main health-specific privacy laws are shown in Box 2. Health information is represented differently in different laws: it is included either in personal information or sensitive information, or is defined separately.

Other legislative privacy requirements

Enforceable guidelines provide an additional layer of privacy regulation for health research without consent. The key federal guidelines are those approved under section 95 (for Medical research) and section 95A (for national privacy principles about health information of the Privacy Act 1988).

An analysis conducted by the National Health and Medical Research Council (NHMRC) of the use of these guidelines in practice13 found:

Australian Law Reform Commission Review of the Privacy Act

The final report of the Australian Law Reform Commission (ALRC) Review of the Privacy Act was delivered on 30 May 2008,14 and the government released the first stage of its response on 14 October 2009.15 Exposure draft legislation containing an important element of the first stage response, the proposed Australian privacy principles, was released on 24 June 2010.16

In response to the ALRC recommendations 6-1 to 6-7, there are likely to be revisions to definitions in the Privacy Act, including that in recommendation 6-1, to define “personal information” as “information or an opinion, whether true or not, and whether recorded in a material form or not, about an identified or reasonably identifiable individual”. The Office of the Privacy Commissioner is likely to publish guidance on the meaning of terms such as identified and reasonably identifiable.

Regarding health research, recommendation 65-1 is likely to give rise to the replacement of the various existing guidelines on privacy and research by a formal set of research rules issued primarily by the NHMRC.

Other key accepted recommendations can be summarised as follows:

Privacy perception in Australia — the evidence

In this section we review available evidence of community attitudes and public perceptions regarding privacy in the context of using health data for research, focusing on de-identification, consent and participation.

De-identification

In reporting on Australian Government Department of Health and Ageing (DoHA) qualitative research, Taylor17 noted that “consumers are not familiar with the term ‘de-identified data’ and even when it’s explained to them, it’s a concept that they are not all that comfortable with”.

In a poll conducted by the Australian Medical Association (AMA) in 2005,18 60% of respondents reported that they were slightly or very concerned about the de-identification process.

Consent

Surveys by the Office of the Privacy Commissioner in 2001 and 2004 found that about 64% of respondents said consent should be sought for the use of de-identified data for research, while 33% said that use without consent was fine.19,20 In the 2007 survey, 51% said that consent should be sought, while 46% said that consent should not be sought.21

Similarly, the DoHA research17 found that consumers supported the use of data in research and registers, provided the data were de-identified and the purpose was legitimate and worthwhile. If identified data were to be used, consumers expected to be informed and their consent to be sought.

In the contrasting AMA poll,18 about 80% of respondents thought that their doctor should ask permission before allowing their de-identified data to be used for medical research, government purposes or commercial purposes. The comments provided suggest that some respondents may have overlooked the fact that the survey was only about de-identified data.

Comparative results can be seen in the United States National Consumer Health Privacy Survey 200522 and an Australian perspective is provided by the Australian Consumer Association.23

It is interesting to compare individuals’ preferences for consent to the use of de-identified data for research with the legislation which permits the use of de-identified and sometimes even identifiable health data for research without consent, under certain conditions.

Participation

The use of an individual’s health data for research can be viewed as participation by that individual in the research. An individual may have an objection to the purpose of the research on moral grounds even when there is no risk of identification or personal consequences.24

The AMA poll18 found that 67% of respondents would give permission for their de-identified data to be used for research, 45% would give permission for government purposes and 32% would give permission for commercial purposes, showing that some participation concerns existed for a significant number of respondents.25

De-identification, consent and bias
De-identification

De-identification is a complex issue surrounded by a lack of standard terminology and clarity. However, it is important because it underpins many health information privacy regulations.

First, it is often not clear what is meant when the term “de-identified” is used to refer to data. Sometimes it appears to mean simply that nominated identifiers such as name, address, date of birth and Medicare number have been removed from the data. At other times its use appears to imply that individuals represented in a dataset cannot be identified from the data, although it can also be unclear what this means. Simply removing nominated identifiers is often insufficient to ensure that individuals represented in a dataset cannot be identified. It can be straightforward to match some of the available data fields with the corresponding fields from external datasets, and thereby obtain enough information to determine individuals’ names either uniquely or with a low degree of uncertainty. This is particularly true of health information or of information which contains times and/or dates of events.

In Australia, the National statement on ethical conduct in human research26 avoided the term “de-identified data” because its meaning is unclear. Instead, it proposed that data may be collected, stored or disclosed in three mutually exclusive forms: individually identifiable, re-identifiable, and non-identifiable. One problem with this approach is the datasets that do not fit into any of the defined categories.

In contrast, the US Health Insurance Portability and Accountability Act 1996 (HIPAA) (http://www.hipaa.org) provides a useful legislative test for de-identification that provides certainty for the research community and for ethics committees.

Considering the issues surrounding the concept of de-identification in the Australian context would help to address some of the concerns highlighted by the NHMRC analysis,13 outlined under “Other legislative privacy requirements” above. The de-identification test contained in the HIPAA is a useful example of a legislative test that provides certainty for the research community. On the other hand, there may be a significant burden of compliance: if an organisation has many datasets then it would take a great deal of time for a person to perform the tasks outlined.

Balancing privacy and research

There is no fundamental disagreement in the literature that the rights of the individual with respect to privacy need to be balanced against the public interest in the outcomes of health research. However, there is a range of views on where the appropriate balance lies.30-32 A mutually satisfactory balance for consumers and the community is likely to be achieved by a combination of policy-centric33 and technology-centric34 measures.

There are at least four arguments that excessive privacy regulation has a negative effect on public health research. These include arguments about efficiency and quality of health research, the risk of avoidable harm to research subjects and the interests of the community versus those of the individual.

Discussion and conclusion

There is little evidence of privacy complaints or breaches in health research. However, privacy regulation and privacy perception are both key factors in the health research context, acting as potential restraints on some types of research that could deliver considerable public benefit. Further, significant concerns regarding consent and de-identification remain in the community. In particular, the proportion of individuals who believe that consent should be required even where information is de-identified is likely to remain at significant levels (perhaps somewhere between one-quarter and one-third of the population) for some time to come.

Will these community concerns impact on health research? Ultimately, decisions on research are made by ethics committees applying guidelines that allow some balance between privacy and research. The decision is therefore taken out of the hands of individual consumers, but these community concerns help to shape privacy regulation and will have an indirect influence on the decisions of ethics committees.

Under the changes proposed by the ALRC, a single set of formal research rules issued by the Privacy Commissioner will guide all decisions by ethics committees. This may lead to improved consistency in outcomes that attempt to balance privacy rights with the public interest.

The ALRC recommendations also leave room for technical solutions to play an increased role in allowing personal information to be de-identified for research purposes. Recent advances in the techniques for de-identifying personal information34 provide some hope that de-identification can occur without a negative impact on data quality.

Received 8 October 2009, accepted 3 May 2010

  • Christine M O'Keefe1
  • Chris J Connolly2

  • 1 Preventative National Health Research Flagship, CSIRO Mathematics, Informatics and Statistics, Canberra, ACT.
  • 2 Galexia, Sydney, NSW.


Correspondence: Christine.OKeefe@csiro.au

Acknowledgements: 

Most of this work was conducted as a project for the Preventative Health National Research Flagship, and we thank the other project stakeholder representatives who gave valuable feedback. Additional research and guidance was provided by Galexia consultants Peter van Dijk and Francis Vierboom.

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