Skip to main content

Ethical aspects of sudden cardiac arrest research using observational data: a narrative review

Abstract

Sudden cardiac arrest (SCA) accounts for half of all cardiac deaths in Europe. In recent years, large-scale SCA registries have been set up to enable observational studies into risk factors and the effect of treatment approaches. The increasing scale and variety of data sources, coupled with the implementation of a new European data protection legal framework, causes researchers to struggle with how to handle these ‘big data’. Data protection in the SCA setting is especially complex since patients become at least temporarily incapacitated, and are thus unable to provide prospective informed consent, and because the majority of patients do not survive. A narrative review employing a systematic literature search was conducted to thematically analyse ethical aspects of non-interventional emergency medicine and critical care research. Although the identified issues may apply to a wider patient population, we describe them within the context of SCA research. Potential harms were found to include: privacy breaches, genetic discrimination and issues associated with the disclosure of individual findings, study design and application of research results. Measures proposed to mitigate harms were: alternative informed consent models including deferred or waived consent and data governance approaches promoting data security, responsible sharing and public engagement. The themes identified in this study may serve as a basis for a much-needed ethical framework regarding research with data from patients with acute and critical illness such as SCA.

Background

Sudden cardiac arrest (SCA) is lethal within minutes if left untreated. Despite advances in emergency medicine, SCA remains a major public health concern with global average survival rates reported to be only 7% [1]. The same study found that in Europe, SCA accounts for approximately 50% of cardiac deaths and 20% of all natural deaths. Designing effective individualised prevention and innovative treatment strategies requires insight into causative factors of SCA and the effect of (first-response) treatment approaches. Since the causes of SCA are complex, and patients have unique sets of causative factors, this necessitates large numbers of study participants. Thus, there is a long-recognised need for epidemiological database research in order to improve SCA prevention and care [2, 3].

Non-interventional, observational research can produce evidence matching the strength of interventional studies while providing several advantages in terms of external validity, cost and ethics [4, 5]. By informing the development of personalised prevention and treatment approaches, observational studies may lead to better outcomes for patients as well as cost savings in healthcare [6].

In recent years, various large observational SCA cohorts have been established around the world and international research collaborations have emerged [7,8,9,10]. In addition to collecting data from Emergency Medical Services and hospitals, some registries contain additional data from general practitioners and pharmacists as well as socio-economic data initially gathered for administrative purposes (see for instance the Dutch ARREST study [11]). It is also increasingly common in critical illness research to establish biobanks with DNA specimens. These might be obtained from blood samples either collected specifically for research purposes or derived from residual blood in samples routinely collected for patient care. In some studies, DNA from patients who die on the scene is extracted from endotracheal intubation tubes collected from ambulance posts or emergency rooms [11]. Due to the transient and transdisciplinary nature of emergency medical care, SCA research data generally come from multiple data sources and are subsequently ‘linked’ [12].

This increasing scale and variety of data, accelerated by the emergence of more affordable techniques, e.g. in the field of DNA sequencing, causes data to be increasingly ‘big’ in SCA research specifically and cardiovascular research in general [13, 14]. However, the collection and use of big observational data in healthcare brings about a number of ethical dilemmas about the appropriate balance between medical research and data subjects’ rights [15].

In SCA research, these issues are intensified by the emergency circumstances that prevent patients from giving prior informed consent to the use of their data, which is especially problematic for the majority of patients who do not survive. Although ethical issues in SCA clinical trials have been widely debated [16, 17], there is a paucity of literature on the ethical aspects of non-interventional research with data obtained from patients in emergency circumstances [18]. Moreover, the debate tends to be focused on informed consent, while there might be other issues that researchers should take into account when conducting database studies, especially in this age of globalisation, genomics and big data. Guidance on these issues would be particularly timely given the implementation of a new European Union (EU) data protection regulatory framework on 25 May 2018.

In the European General Data Protection Regulation 2016/679 (GDPR), personal data are defined in Article 4(1) as “any information relating to an identified or identifiable natural person (‘data subject’)”. The GDPR considers genetic, biometric and health data to be sensitive data for which strict rules apply (Table 3 presents an overview of the key changes in the EU data protection law that are relevant for research with medical data). Some researchers have worried that medical research may be hampered by ‘data overprotection’, fearing that new EU data protection law would require written consent for all research uses [19]. In response to criticism, the text of the GDPR was amended to reflect the importance of processing of sensitive data for research purposes. In the final version of the law, informed consent is only one of several grounds that can be used to justify the lawfulness of processing sensitive data, while the need for data for scientific purposes is another (Article 9(2)) [20]. Concerns about a potentially detrimental impact of data protection legislation on observational research have also been voiced in other countries, for instance in the United States where the Privacy Rule (as an addendum to the Health Insurance Portability and Accountability Act) governs the use of identifiable health information for research [21], or in Canada with the Personal Information Protection and Electronic Documents Act [22].

To date, no comprehensive review has been conducted on the ethical aspects germane to observational, non-interventional research into SCA or other acute and critical conditions. The present study was conducted as part of a newly established European consortium called ESCAPE-NET (European Sudden Cardiac Arrest network towards Prevention, Education and New Effective Treatment) [10]. The aim of this paper is to support the ethical conduct of non-interventional SCA database research, such as ESCAPE-NET, by reviewing key ethical aspects from the literature. It should be noted that the reviewed literature is used to highlight key issues in research with data from SCA patients in particular, although our study findings will also apply to other groups of acutely and critically ill patients.

Literature search

We performed a systematic search with terms and MeSH headings related to ‘sudden cardiac arrest’ or ‘emergency medicine’, ‘ethics’ and ‘observational research’. Five databases were searched: PubMed, CINAHL, Philosopher’s Index, Philpapers, and Web of Science. Reference lists of retrieved articles were hand-searched to identify additional publications. The search was performed in December 2017 and was initially limited to English language articles that mentioned ethical aspects of observational studies in SCA specifically. However, the focus of the literature search was extended from SCA to emergency medicine and critical care in general, after the initial sample was found to be rather small. Studies were excluded that discussed ethical aspects of data processing in an interventional research setting or care context. For the search strategy, see Additional file 1: Table S1. Due to the limited number and great heterogeneity of articles retrieved, we chose not to present the results as a systematic review. Instead we extracted ethical themes from the retrieved articles and used those as a basis for a narrative review. The thematic narrative is supplemented by literature on the ethics of research with (bio-) medical data in general to provide context and further understanding of each ethical theme.

‘First, do no harm’: potential risks to patients

Ethical themes from the retrieved articles are sorted into two main clusters describing (1) potential harms to patients and (2) measures that researchers can take to mitigate these harms (Table 1). In the following sections we discuss potential harms of SCA data research.

Table 1 Clustering of ethical aspects related to SCA research with observational data

Privacy of personal data

Researchers should ensure adequate protection of participants’ personally identifiable data. This right to data protection as described in the GDPR is based in part on the right to privacy [23], which is enshrined in Article 8 of the European Convention of Human Rights. The intrinsic value of privacy arises from the individual’s need to freely relate to others in a social context and to have the ability to control who gets access to one’s personal information [24]. Additionally, privacy is valuable since it promotes other fundamental values such as personal autonomy, individuality, human dignity and respect for persons [25].

Privacy rights can be violated even without the subject’s knowledge. For instance, participants’ personal information may be used for secondary research that goes against their religious beliefs. If knowledge of the harm is not a necessary condition for harm, then deceased SCA victims can be harmed in terms of their ‘ante-mortem’ person’s rights or their legacy [26]. However, the discussion on post-mortem privacy is still unresolved, and few guidelines address the rights of deceased persons. The European Court of Human Rights only recognises privacy rights for the deceased when they are connected to living individuals, as is the case with genetic data which may contain sensitive information about living relatives [26].

A review commissioned by the Nuffield Council on Bioethics showed that evidence of direct harms to wellbeing resulting from data breaches in healthcare organisations is rare, possibly due to anecdotal reporting [27]. At a minimum, however, data breaches would cause distress among patients and impact on participants’ trust in medical institutions, negatively affecting support for research and people’s willingness to participate [28]. What is more, confidentiality breaches involving genetic research data may lead to worries of discrimination if third parties (e.g. insurance companies) gain access to them, as discussed in the following section.

Genetic discrimination

Even though discrimination based on genetic features is prohibited in the EU Charter of Fundamental Rights and the Council of Europe’s Oviedo Convention on Human Rights and Biomedicine, genetic discrimination by family members, employers and insurers is widespread [29]. Fears of discrimination were documented in Dutch families involved in genetic testing for hypertrophic cardiomyopathy, a common cause of SCA in young people [30]. In North America, Mohammed et al. [31] showed that increased genetic testing negatively impacted insurability for patients with sudden arrhythmic death syndromes. Discrimination does not only harm people’s dignity but also leads to direct harms to health [29]. For instance, limited employability or insurability might create financial hardship which potentially increases SCA risk further, since lower socio-economic status is associated with a higher incidence of SCA [32]. Moreover, worries about the discriminatory use of genetic data have been shown to deter people from participation in medical research, thus possibly impeding SCA research progress [33].

The (non-) disclosure of individual findings

Physicians have a professional and moral duty to warn their patients about potential threats to health. Recent studies and guidelines have expanded this duty to researchers in the context of disclosing actionable genetic findings to study participants [34, 35]. However, research participants may not want to know about any genetic findings. Pullman and Hodgkinson [36] describe a case of genetic research into autosomal dominant arrhythmogenic right ventricular cardiomyopathy, a cause of SCA in young people that can be effectively treated. Several subjects with a DNA variant causing high risk of premature death had refused to know their results and died of preventable SCA. The authors state that it is “unethical for genetic researchers to absolve themselves of clinical responsibilities for research subjects and/or their families” and stress the importance of advance arrangements in genetic SCA studies, i.e. not enrolling subjects if they do not want to receive results. Although a full discussion of the ‘right not to know’ is beyond the scope of this paper, this case study helps to show that not using data may also have harmful consequences.

Fairness in research design

For any type of study, it is unethical to use resources and risk subjects’ privacy when there is no sound methodology [37]. Factors such as bias and confounding should be taken into account especially because in SCA research, data may be of lower quality due to the emergency setting. SCA data are often not gathered for research purposes, and variation in registration or reporting of SCA may lead to errors and bias when combining databases [38,39,40]. These limitations might be amplified in studies with very large datasets [41].

At a global level, it is important that research is conducted not just in developed countries, which would exacerbate existing knowledge disparities with less-developed countries, and that the results benefit those groups of patients who have contributed their data. SCA populations from different ethnic backgrounds and geographic areas are epidemiologically distinct, and local emergency medicine research in low- and middle income countries is needed, as described by Aufderheide et al. [42].

Responsible application of research results

Research into the causal basis of SCA may lead to the development of new genetic tests and risk stratification algorithms, and future cost reductions may stimulate health policy makers to implement population-wide screening for SCA risk [43, 44]. Rumsfeld et al. [13] note that justice issues may arise if screening data are used to differentially provide care to those at high risk of cardiovascular disease, or when people who opt out of data collection would lose the right to benefit from the results of research. Moreover, research on SCA risk factors could lead to health promotion practices that may be seen as a form of control over the individual [45].

In addition to the potential for individual discrimination, group-level harms may arise when risk profiles are created for certain (racial) groups, especially when done incorrectly. Manrai et al. [46] have reported genetic misclassification of common DNA variants among inhabitants of the USA with African ancestry as pathogenic variants predisposing them for hypertrophic cardiomyopathy, thereby potentially creating further health disparities between black and white Americans. The use of genetic data and the linkage across datasets may thus increase the potential for stigmatisation of ethnic minorities [47]. Although these are largely theoretical possibilities, it is important that researchers are aware of these potentially harmful effects and consequently adopt appropriate measures to protect subjects’ rights.

Measures to protect SCA patients in observational studies

The following sections provide an overview of ethically acceptable approaches to research with patient data in the context of medical emergencies such as SCA. We first describe informed consent, and subsequently other data governance practices.

Informed consent in the emergency medical setting

In light of the potentially harmful consequences of research with SCA data, participants ought to be granted some form of control over the uses of information about them, which may be realised by an informed consent process. Voluntary informed consent is grounded in the right to self-determination and has been stressed in the Nuremberg Code and the Declaration of Helsinki, as well as in the International Ethical Guidelines for Epidemiological Studies published by the Council for International Organisations of Medical Sciences [48].

Exceptions to prospective consent are important in SCA research because a majority of patients do not survive the SCA episode, while others become incapacitated as a result of it. The problem with obtaining SCA patients’ consent has been widely debated in the context of clinical studies in which interventions are performed [49, 50]. However, we found little discussion in the literature about the ethics of non-interventional emergency research. Nonetheless, it is clear that insistence on seeking consent for SCA data use would pose not only practical problems but also ethical ones, two in particular.

  1. 1.

    Requiring informed consent for studies using data from SCA patients would exclude the majority of patients who cannot consent and would thereby bias research. Such consent bias causes societal harm by hampering medical research and skewing the data [51].

  2. 2.

    Not using data from people unable to consent would violate some patients’ wishes. Denying participation to deceased SCA victims and to those who lack the mental capacity to consent deprives them of the opportunity to contribute to research and thereby benefit society [18].

The first point relates to the scientific validity of the research. Consent bias would render the study findings less reliable and thereby potentially harm future patients, while also devaluing the contribution of those who did consent [52]. Tu et al. [53] describe the problems with informed consent in the Canadian Stroke Registry where less than half of potential participants consented to the use of their data due to difficulties with obtaining consent (i.e. people died or became incapacitated but had no surrogate decision maker). The resulting registry was not representative of the typical stroke patient: participants in the database were younger and more likely to be alert at admission and alive at discharge. Therefore, in a consecutive phase the ethics committees of the participating centres approved data collection without consent [54]. Consent bias can also arise from different attitudes towards research among ethnic or cultural groups: Freeman et al. [55] found that African American surrogate decision makers of critically ill patients were less receptive of genetic data collection than their counterparts of European descent.

The second point concerns patients’ right to self-determination. For some people, sharing their data for research purposes is an important goal. Informed consent should thus not be interpreted only as a means to protect research subjects from harm, but also as an “act of autonomy that has a positive motive (e.g., compassion)”, as stated by Christen et al. [56]. Denying the possibility of contributing data for those unable to consent would be based on the assumption that the patient places individual privacy concerns above health benefits for others.

Alternatives to prospective consent: waived or deferred

Considering the above, researchers seeking to use SCA data need to find ethically acceptable alternatives to prospective consent. Designing informed consent processes can be a complex endeavour, considering the various types of consent models (Table 2). The largest problem within emergency medicine research is the timing of consent: since prior consent is impossible, one could either apply for an exception from consent or seek deferred consent.

Table 2 Informed consent models

Clinical registries can be set up without the requirement for individual patient consent. Provided that appropriate safeguards are in place, an exception from consent is often seen as permissible because of the large benefits and small risks, coupled with the aforementioned issues associated with seeking consent. However, according to Tu et al. [53] certain components (e.g. data linkage and genetic information) of acute illness database research add new responsibilities for which consent should be obtained if possible. Namely, data linkage creates highly specific knowledge on individuals, thereby causing a higher risk of re-identification [57]. DNA sequences are uniquely identifiable due to the presence of individual genetic markers, which have been used to re-identify anonymous DNA donors in a study by Gymrek and colleagues [58], and they reveal information about not only the individual but also their relatives.

SCA survivors may be retrospectively asked permission for data collection, a practice known as deferred consent [59]. When the subject becomes mentally incapable of giving consent as a result of the SCA, the researchers must seek consent from the legally authorised representative (‘proxy’ or ‘surrogate’), according to Article 30 of the Declaration of Helsinki. Because proxy consent during the emergency is of questionable value due to the emotional nature of the situation, it is generally sought later as well [52]. In a study by Fox et al. [18] where residual blood was collected from trauma patients, deferred consent was seen by patients and legally authorised representatives as an acceptable approach, with no refusals to consent. Deferred consent may be obtained through telephone conversation, which was found by Offerman et al. [60] to be highly effective and well-received among trauma patients. The time until seeking consent should be long enough for the patient to be approachable or the surrogate to have recovered from the initial shock. Similar to prior consent, deferred consent may be opt-in or opt-out and the permissions given can vary in specificity (Table 2).

Deceased patients

Obtaining consent is especially problematic for the large majority of patients who do not survive the SCA episode. Should consent be sought from a representative in those cases or is an exception from consent justifiable? There is a lack of literature on this issue. Also, the European data protection law framework is not helpful since the GDPR does not apply to the personal data of deceased persons, although “Member States may provide for rules regarding the processing of personal data of deceased persons” (Recital 27). The majority of international guidelines do not address the issue of deceased patients or give conflicting advice [61].

The case against approaching relatives is the emotional stress this might cause, which conflicts with the healthcare professionals’ prima facie duty to prevent suffering and which could impact the validity of the consent [52]. When it concerns genetic information, however, family members might be said to have a stake as well. An Icelandic woman who objected to the use of her deceased father’s genetic data in the national Health Sector Database was backed by the Supreme Court based on the grounds that her own privacy was involved due to the direct biological link with her father’s DNA [62]. Moreover, disclosure of findings that have implications for relatives’ health becomes problematic when research was performed without their knowledge [63]. Whether relatives have similar rights as the original data subject, and how this should be dealt with in genetic research, is still an open question [62].

Responsible data governance

When informed consent has been obtained, and even more so when research is conducted without consent, confidentiality of data should still be protected. Data governance policies should address privacy as well as broader societal issues (e.g. fairness) not covered by consent. We distinguish three main components of data governance: security and oversight, sharing and access and public engagement.

Data security and oversight

If personal data are fully anonymised, the GDPR does not apply. However, anonymising the data is not an ideal solution [64]. Firstly, it does not allow for control over usage of the information, i.e. data can be used for purposes that conflict with the data donor’s views. Secondly, the weaknesses of anonymization techniques and the uniqueness of genetic data prevent data from becoming truly de-identified. Instead, research data are often pseudonymised (‘pseudo-anonymised’), which means that additional information, stored elsewhere, is needed to link the personal data to a specific subject.

Still, other safeguards are needed to protect against unauthorised access and ensure integrity of research data (Article 89 of the GDPR). These may include secure storage within a robust information technology system, encryption of data and of identifiers used for linkage, access logging, the use of secure environments (‘data enclaves’), data access through a trusted third party or ‘honest broker’ and potentially new techniques such as block-chain [54, 65, 66]. Also, the GDPR requires the creation of a Data Protection Impact Assessment to evaluate privacy risks and adopt appropriate safety measures (Table 3). When deferred consent is used, there should be a pre-defined procedure for destruction of data from SCA victims who do not consent at the delayed time point or choose to withdraw from the study [67]. Another ‘safeguard’ is the oversight by the Research Ethics Committee or Data Protection Officer. In the absence of consent, the approval of an ethics committee is vital (Declaration of Helsinki, Article 32), especially when collecting human material (e.g. OECD Guidelines on Human Biobanks and Genetic Research Databases) [68] or performing data linkages [46, 56]. Moreover, as described by Morris et al. [21], obtaining approval from an ethics committee or privacy officer enhances the researchers’ credibility and thereby contributes to successful data collection from the various data sources.

Table 3 Selected key changes under the EU General Data Protection Regulation (GDPR)

Data sharing and access

The sharing of research data is increasingly framed as a scientific and ethical imperative [69]. Data sharing is especially important in fields where large numbers are needed, such as SCA research. However, barriers to data sharing include the lack of incentives for researchers who originally collected the data or the regulatory fragmentation across Europe, which the GDPR aims to harmonise [65, 70]. Researchers sharing data should check whether the receiving party consists of bona fide researchers, there is a justified research need, ethics approval has been obtained and sharing is in line with conditions pre-specified in data transfer or access agreements [65]. They also need to provide patients with meaningful access rights to their personal data and respect other patients’ rights that potentially apply, such as the right to be forgotten (Table 3).

Despite high levels of public support for data sharing among public institutions, people generally do not want their data to be shared for commercial gain [71]. Worries of commodification may become voiced even after the subject’s death: think of Henrietta Lacks’s family who want to be compensated for the unauthorised use of her cancer cells (the HeLa cell line) in 1951, which led to numerous medical advances [72]. Similarly, the care.data initiative in the UK, a linked database of patient information, was abandoned due to ethical concerns related to sharing data with commercial actors outside the National Health Service without consent. This led to a “collapse of context”: patients felt that their privacy was violated when the data were taken out of the health context to benefit the country’s economy [73]. Thus, fostering trust in research does not involve the right of participants to control all information flows, but requires transparency and what Nissenbaum [74] has termed contextual integrity.

Public engagement

In studies without opt-in consent, researchers often emphasise communitarian values such as solidarity or altruism as a reason not to ask consent [75]. However, this needs to be supported by data from the SCA context. In the US, intervention studies in the emergency setting are required to engage in prior community consultation to assess the acceptability of the research. Similarly, there is a general need for empirical studies on patients’ views regarding ethics in observational emergency research and for involvement of patients and other stakeholders in the creation of SCA database research consortia. Indeed, data governance is increasingly conceptualised as “data democracy” [64] and this deliberative approach of involving stakeholders may complement the Research Ethics Committee review and help to legitimise acute illness data research.

Conclusions

Research with observational data from SCA victims is vital to improving prevention and treatment of SCA. Since the use of personal data could harm patients and communities—although usually to a lesser extent than experimental studies—legitimate consent procedures and data governance policies are needed. However, in our systematic literature search we encountered a lack of empirical work on the ethical aspects specific to non-interventional database research in SCA and other emergency settings. We therefore present the retrieved articles, supplemented by general literature on the ethics of biomedical big data, as a thematic narrative. In this review article we identified ethical issues that SCA researchers should be mindful of, in terms of both potential harms and approaches to address these harms, and we highlighted current knowledge gaps. Especially the dearth of guidance from the literature and law regarding data collection from deceased SCA patients warrants attention. There is a need for a context-sensitive, transnational and empirically informed ethical framework regarding collection, use and sharing of data from those who are struck by SCA or other acute and critical conditions.

Abbreviations

ESCAPE-NET:

European Sudden Cardiac Arrest network towards Prevention, Education and New Effective Treatment

EU:

European Union

GDPR:

General data protection regulation

SCA:

Sudden cardiac arrest

References

  1. Berdowski J, Berg RA, Tijssen JG, Koster RW. Global incidences of out-of-hospital cardiac arrest and survival rates: systematic review of 67 prospective studies. Resuscitation. 2010;81:1479–87.

    Article  PubMed  Google Scholar 

  2. Pronovost P, Angus DC. Using large-scale databases to measure outcomes in critical care. Crit Care Clin. 1999;15:615–31.

    Article  PubMed  CAS  Google Scholar 

  3. McNally B. The importance of cardiac arrest registries. Scand J Trauma Resusc Emerg Med. 2014;22:A3.

    Article  PubMed Central  Google Scholar 

  4. Concato J, Shah N, Horwitz RI. Randomized, controlled trials, observational studies, and the hierarchy of research designs. N Engl J Med. 2000;342:1887–92.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Barnish MS, Turner S. The value of pragmatic and observational studies in health care and public health. Pragmat Obs Res. 2017;8:49.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Priori SG. Genetic testing to predict sudden cardiac death: current perspectives and future goals. Indian Heart J. 2014;66:S58–60.

    Article  PubMed  PubMed Central  Google Scholar 

  7. McNally B, Robb R, Mehta M, Vellano K, Valderrama AL, Yoon PW, et al. Out-of-hospital cardiac arrest surveillance—cardiac arrest registry to enhance survival (CARES), United States, October 1, 2005–December 31, 2010. MMWR Surveill Summ. 2011;60:1–19.

    PubMed  Google Scholar 

  8. Ong MEH, Shin SD, Tanaka H, Ma MHM, Khruekarnchana P, Hisamuddin N, et al. Pan-Asian resuscitation outcomes study (PAROS): rationale, methodology, and implementation. Acad Emerg Med. 2011;18:890–7.

    Article  PubMed  Google Scholar 

  9. Beck B, Bray J, Smith K, Walker T, Grantham H, Hein C, et al. Establishing the Aus-ROC Australian and New Zealand out-of-hospital cardiac arrest Epistry. BMJ Open. 2016;6:e011027.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Empana JP, Blom MT, Bӧttiger BW, Dagres N, Dekker JM, Gislason G, et al. Determinants of occurrence and survival after sudden cardiac arrest–a European perspective: the ESCAPE-NET project. Resuscitation. 2018;124:7–13.

    Article  PubMed  Google Scholar 

  11. Blom MT, Van Hoeijen DA, Bardai A, Berdowski J, Souverein PC, De Bruin ML, et al. Genetic, clinical and pharmacological determinants of out-of-hospital cardiac arrest: rationale and outline of the AmsteRdam resuscitation studies (ARREST) registry. Open Heart. 2014;1:e000112.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Waien SA. Linking large administrative databases: a method for conducting emergency medical services cohort studies using existing data. Acad Emerg Med. 1997;4:1087–95.

    Article  PubMed  CAS  Google Scholar 

  13. Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: promise and challenges. Nat Rev Cardiol. 2016;13:350.

    Article  PubMed  CAS  Google Scholar 

  14. Alexander CA, Wang L. Big data analytics in heart attack prediction. J Nurs Care. 2017;6:2167–1168.

    Article  Google Scholar 

  15. Mittelstadt BD, Floridi L. The ethics of big data: current and foreseeable issues in biomedical contexts. Sci Eng Ethics. 2016;22:303–41.

    Article  PubMed  Google Scholar 

  16. Miller BL. The ethics of cardiac arrest research. Ann Emerg Med. 1993;22:118–24.

    Article  PubMed  CAS  Google Scholar 

  17. Petriş AO, Cimpoeşu DC, Ungureanu D. What’s new in ethics of cardio-pulmonary resuscitation research: too little time and too many rules? Intensive Care Med. 2015;41:120–2.

    Article  PubMed  Google Scholar 

  18. Fox EE, Bulger EM, Dickerson AS, Del Junco DJ, Klotz P, Podbielski J, et al. Waiver of consent in non-interventional, observational emergency research: the PROMMTT experience. J Trauma Acute Care Surg. 2013;75:S3.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Anonymous. Data overprotection. Nature. 2015;522:391–2.

    Google Scholar 

  20. Chassang G. The impact of the EU general data protection regulation on scientific research. Ecancermedicalscience. 2017;11:709.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Morris MC, Mechem CC, Berg RA, Bobrow BJ, Burns S, Clark L, et al. Impact of the privacy rule on the study of out-of-hospital pediatric cardiac arrest. Prehosp Emerg Care. 2007;11:272–7.

    Article  PubMed  Google Scholar 

  22. Gershon AS, Tu JV. The effect of privacy legislation on observational research. CMAJ. 2008;178:871–3.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Mostert M, Bredenoord AL, van der Sloot B, van Delden JJ. From privacy to data protection in the EU: implications for big data Health Research. Eur J Health Law. 2017;25:43–55.

    Article  Google Scholar 

  24. Rachels J. Why privacy is important. Philos Public Aff. 1975;4:323–33.

    Google Scholar 

  25. Institute of Medicine (US) Committee on Health Research and the Privacy of Health Information. The value and importance of health information privacy. In: Nass SJ, Levit LA, Gostin LO, editors. Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research. Washington (DC): National Academies Press (US); 2009. p. 2.

    Google Scholar 

  26. Buitelaar JC. Post-mortem privacy and informational self-determination. Ethics Inf Technol. 2017;19:129–42.

    Article  Google Scholar 

  27. Laurie G, Jones KH, Stevens L, Dobbs C. A review of evidence relating to harm resulting from uses of health and biomedical data. London: Nuffield Council on Bioethics; 2015.

  28. Molster C, Taruscio D, Schaefer F, Lochmüller H, Dawkins H, Posada M, et al. The risk of re-identification versus the need to identify individuals in rare disease research. Eur J Hum Genet. 2016;24:1553.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Otlowski M, Taylor S, Bombard Y. Genetic discrimination: international perspectives. Annu Rev Genomics Hum Genet. 2012;13:433–54.

    Article  PubMed  CAS  Google Scholar 

  30. Geelen E, Horstman K, Marcelis CL, Doevendans PA, Van Hoyweghen I. Unravelling fears of genetic discrimination: an exploratory study of Dutch HCM families in an era of genetic non-discrimination acts. Eur J Hum Genet. 2012;20:1018–23.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Mohammed S, Lim Z, Dean PH, Potts JE, Tang JN, Etheridge SP, et al. Genetic insurance discrimination in sudden arrhythmia death syndromes. Circ Cardiovasc Genet. 2017;10:e001442.

    Article  PubMed  Google Scholar 

  32. Reinier K, Thomas E, Andrusiek DL, Aufderheide TP, Brooks SC, Callaway CW, et al. Socioeconomic status and incidence of sudden cardiac arrest. Can Med Assoc J. 2011;183:1705–12.

    Article  Google Scholar 

  33. Keogh LA, van Vliet CM, Studdert DM, Maskiell JA, Macrae FA, St John DJ, et al. Is uptake of genetic testing for colorectal cancer influenced by knowledge of insurance implications? Med J Aust. 2009;191:255–8.

    PubMed  Google Scholar 

  34. Knoppers BM, Joly Y, Simard J, Durocher F. The emergence of an ethical duty to disclose genetic research results: international perspectives. Eur J Hum Genet. 2006;14:1170–8.

    Article  PubMed  Google Scholar 

  35. McGuire AL, Caulfield T, Cho MK. Research ethics and the challenge of whole-genome sequencing. Nat Rev Genet. 2008;9:152–6.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Pullman D, Hodgkinson K. Genetic knowledge and moral responsibility: ambiguity at the interface of genetic research and clinical practice. Clin Genet. 2006;69:199–203.

    Article  PubMed  CAS  Google Scholar 

  37. Emanuel EJ, Wendler D, Grady C. What makes clinical research ethical? JAMA. 2000;283:2701–11.

    Article  PubMed  CAS  Google Scholar 

  38. Badcock D, Kelly AM, Kerr D, Reade T. The quality of medical record review studies in the international emergency medicine literature. Ann Emerg Med. 2005;45:444–7.

    Article  PubMed  Google Scholar 

  39. Kaji AH, Schriger D, Green S. Looking through the retrospectoscope: reducing bias in emergency medicine chart review studies. Ann Emerg Med. 2014;64:292–8.

    Article  PubMed  Google Scholar 

  40. Nishiyama C, Brown SP, May S, Iwami T, Koster RW, Beesems SG, et al. Apples to apples or apples to oranges? International variation in reporting of process and outcome of care for out-of-hospital cardiac arrest. Resuscitation. 2014;85:1599–609.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Docherty AB, Lone NI. Exploiting big data for critical care research. Curr Opin Crit Care. 2015;21:467–72.

    Article  PubMed  Google Scholar 

  42. Aufderheide TP, Nolan JP, Jacobs IG, Belle G, Bobrow BJ, Marshall J, et al. Global health and emergency care: a resuscitation research agenda—part 1. Acad Emerg Med. 2013;20:1289–96.

    Article  PubMed  Google Scholar 

  43. Morini E, Sangiuolo F, Caporossi D, Novelli G, Amati F. Application of next generation sequencing for personalized medicine for sudden cardiac death. Front Genet. 2015;6:55.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Myerburg RJ, Goldberger JJ. Sudden cardiac arrest risk assessment: population science and the individual risk mandate. JAMA Cardiol. 2017;2:689–94.

    Article  PubMed  Google Scholar 

  45. Hoeyer K. Denmark at a crossroad? Intensified data sourcing in a research radical country. In: Mittelstadt BD, Floridi L, editors. The ethics of biomedical big data. Cham: Springer International Publishing; 2016. p. 77–93.

    Google Scholar 

  46. Manrai AK, Funke BH, Rehm HL, Olesen MS, Maron BA, Szolovits P, et al. Genetic misdiagnoses and the potential for health disparities. N Engl J Med. 2016;375:655–65.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Boyd KM. Ethnicity and the ethics of data linkage. BMC Public Health. 2007;7:318.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Council for International Organizations of Medical Sciences. International ethical guidelines for epidemiological studies. Geneva: Council for International Organizations of Medical Sciences; 2009.

    Google Scholar 

  49. Foëx BA. The problem of informed consent in emergency medicine research. Emerg Med J. 2001;18:198–204.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Nichol G, Huszti E, Rokosh J, Dumbrell A, McGowan J, Becker L. Impact of informed consent requirements on cardiac arrest research in the United States: exception from consent or from research? Resuscitation. 2004;62:3–23.

    Article  PubMed  CAS  Google Scholar 

  51. The Academy of Medical Sciences. Personal data for public good: using health information in medical research. London: The Academy of Medical Sciences; 2006.

  52. Jansen TC, Kompanje EJO, Druml C, Menon DK, Wiedermann CJ, Bakker J. Deferred consent in emergency intensive care research: what if the patient dies early? Use the data or not? Intensive Care Med. 2007;33:894–900.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Tu JV, Willison DJ, Silver FL, Fang J, Richards JA, Laupacis A, Kapral MK. Impracticability of informed consent in the registry of the Canadian stroke network. N Engl J Med. 2004;350:1414–21.

    Article  PubMed  CAS  Google Scholar 

  54. Fang J, Kapral MK, Richards J, Robertson A, Stamplecoski M, Silver FL. The registry of Canadian stroke network: an evolving methodology. Acta Neurol Taiwanica. 2011;20:77–84.

    Google Scholar 

  55. Freeman BD, Bolcic-Jankovic D, Kennedy CR, LeBlanc J, Eastman A, Barillas J, et al. Perspectives of decisional surrogates and patients regarding critical illness genetic research. AJOB Empir Bioeth. 2016;7:39–47.

    Article  PubMed  Google Scholar 

  56. Christen M, Domingo-Ferrer J, Draganski B, Spranger T, Walter H. On the compatibility of big data driven research and informed consent: the example of the human brain project. In: Mittelstadt BD, Floridi L, editors. The ethics of biomedical big data. Cham: Springer International Publishing; 2016. p. 199–218.

    Chapter  Google Scholar 

  57. Clark DE. Practical introduction to record linkage for injury research. Inj Prev. 2004;10:186–91.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Gymrek M, McGuire AL, Golan D, Halperin E, Erlich Y. Identifying personal genomes by surname inference. Science. 2013;339:321–4.

    Article  PubMed  CAS  Google Scholar 

  59. Fost N, Robertson JA. Deferring consent with incompetent patients in an intensive care unit. IRB. 1980;2:5.

    Article  PubMed  Google Scholar 

  60. Offerman SR, Nishijima DK, Ballard DW, Chetipally UK, Vinson DR, Holmes JF. The use of delayed telephone informed consent for observational emergency medicine research is ethical and effective. Acad Emerg Med. 2013;20:403–7.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Tassé AM. Biobanking and deceased persons. Hum Genet. 2011;130:415–23.

    Article  PubMed  Google Scholar 

  62. Gevers JKM. Genetic databases and consent for use of medical records. Public Health Genomics. 2004;7:173–5.

    CAS  Google Scholar 

  63. Wicclair MR, DeVita MA. Oversight of research involving the dead. Kennedy Inst Ethics J. 2004;14:143–64.

    Article  PubMed  Google Scholar 

  64. Vayena E, Blasimme A. Biomedical big data: new models of control over access. Use and Governance J Bioeth Inq. 2017;14:501–13.

    Article  PubMed  Google Scholar 

  65. Thorogood A, Zawati MNH. International guidelines for privacy in genomic biobanking (or the unexpected virtue of pluralism). J Law Med Ethics. 2015;43:690–702.

    PubMed  Google Scholar 

  66. Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, et al. Making sense of big data in health research: towards an EU action plan. Genome Med. 2016;8:71.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  67. Duvall MG, Burns JP. Better late than never? Deferred consent for minimal risk research in the ICU. Crit Care Med. 2017;45:1571–2.

    Article  PubMed  Google Scholar 

  68. Organisation for Economic Co-operation and Development. OECD guidelines on human biobanks and genetic research databases. Eur J Health Law. 2010;17:191–204.

    Google Scholar 

  69. Knoppers BM, Harris JR, Budin-Ljøsne I, Dove ES. A human rights approach to an international code of conduct for genomic and clinical data sharing. Hum Genet. 2014;133:895–903.

    Article  PubMed  PubMed Central  Google Scholar 

  70. van Panhuis WG, Paul P, Emerson C, Grefenstette J, Wilder R, Herbst AJ, et al. A systematic review of barriers to data sharing in public health. BMC Public Health. 2014;14:1144.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Davidson S, McLean C, Treanor S, Aitken M, Cunningham-Burley S, Laurie G, et al. Public acceptability of data sharing between the public, private and third sectors for research purposes. Edinburgh: Scottish Government Social Research; 2013.

  72. The Washington Post. Henrietta Lacks’s family wants compensation for her cells. 2017. https://www.washingtonpost.com/local/henrietta-lackss-family-wants-compensation-for-her-cells/2017/02/14/816481ba-f302-11e6-b9c9-e83fce42fb61_story.html?noredirect=on&utm_term=.fcaedb2b88b0. Accessed 22 June 2018.

  73. Vezyridis P, Timmons S. Understanding the care.data conundrum: New information flows for economic growth. BD&S. 2017;4:2053951716688490.

    Google Scholar 

  74. Nissenbaum H. Privacy in context: technology, policy, and the integrity of social life. Redwood City: Stanford University Press; 2009.

  75. Prainsack B, Buyx A. A solidarity-based approach to the governance of research biobanks. Med Law Rev. 2013;21:71–91.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to thank Faridi van Etten - Jamaludin, clinical librarian at the Academic Medical Center in Amsterdam, for assistance with the systematic search.

Funding

This study was part of the ESCAPE-NET project, which is funded by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement number 733381.

Author information

Authors and Affiliations

Authors

Contributions

MARB wrote the manuscript. MTB, HLT and DLW reviewed the manuscript and revised it for important intellectual content. All authors have read and approved of the final manuscript.

Corresponding author

Correspondence to Marieke A. R. Bak.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

All authors report grants from Horizon 2020 during the conduct of the study.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Search strategy. Table containing the PubMed search string as an example of the literature search strategy. (DOCX 15 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bak, M.A.R., Blom, M.T., Tan, H.L. et al. Ethical aspects of sudden cardiac arrest research using observational data: a narrative review. Crit Care 22, 212 (2018). https://doi.org/10.1186/s13054-018-2153-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13054-018-2153-3

Keywords