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Enregistrement W2547212508 · doi:10.1093/eurpub/ckw198

Written informed consent in health research is outdated

2016· article· en· W2547212508 sur OpenAlexaboutno aff
Reinder Broekstra, Els Maeckelberghe, Ronald P. Stolk

Notice bibliographique

RevueEuropean Journal of Public Health · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensnon disponible
Organismes subventionnairesNederlandse Organisatie voor Wetenschappelijk Onderzoek
Mots-clésBiobankMantraInformed consentAutonomyDeclaration of HelsinkiResearch ethicsEconomic JusticePublic relationsPolitical scienceEngineering ethicsData Protection Act 1998MedicineAlternative medicineMedical educationPsychologyLawEngineering

Résumé

récupéré en direct d'OpenAlex

Reference to the Declaration of Helsinki as assurance for ethical principles for medical research involving human subjects has become a meaningless mantra. The participants’ relationship with researchers has been distrusted-based with Written Informed Consent (WIC) hereinafter referred to as WIC) placed as an important barrier to protect participants’ autonomy. Today the mantra is dictated by many details in consent forms and ever more strict regulations. Globally, especially in Europe as well the USA, establishment of privacy and protection of research subject regulations reveal similar obstacles and critiques, for example in the recently accepted European General Data Protection Regulation and the proposed changes to the Common Rule from September 2015. In a digital revolution ethical principles need to be reassured in a novel way, especially for the increasing use of data collected outside traditional clinical trial research such as patient records and biobank/cohort studies linked with other data sources (‘Big Data in Healthcare’). WIC as used in research in medical sciences are static and not appropriate for the use of untraditional and innovative research methods. We will argue that dynamic, continuous, and interactive methods of informing do more justice to the underlying principles of informed consent. This by honouring rights of participants and to facilitate them in their decision to participate based on a qualified presumed consent, while being more transparent. In a clinical setting where the relationship between researcher and participant is strongly interdependent and of a personalized nature, WIC might be effective.1 However, medical research has dramatically changed into a context of more complexity, collaboration, and variety. Research becomes less invasive with the advent of genetic research, innovative methods, and the access to huge amounts of personal and clinical digital data. In this less (directly) invasive context this mechanism of informed consent is limited in effectiveness due to opacity and lack of transitivity.2 Only relevant and important consequences and implications of participation can be communicated, in order to prevent an overload of information and to get a clear consent. In a broad data collection with no single research question, such as biobanks, there are struggles as well with informed consent. First, it is hard to thoroughly inform participants about specific future research projects since these are still unidentified. Second, a valid informed consent is difficult to generate in big data research, because of a transparency paradox.1,3 Moreover, some scholars have pointed out that these WIC’s undermine their assumed primary function of preserving welfare and autonomy. First, WIC neglects the risk of qualitative bad decision making, since human beings often apply imperfect reasoning. Therefore researchers should protect participants for these fallacies.4 Second, the argument of trust-promotion that is made in response to the limitations as proposed by O’Neill faces its own challenges, such as damaging and underemphasising trust. First, by diminishing interpersonal trust with a distrust-based starting point. Second, by addressing lack of trust by promoting trustworthiness instead of trust, which seems to be symptomatic approach.5 The Council of Europe, the US government, and the World Medical Association defined informed consent as an obligation for research to inform participants extensively and to ask their explicit consent. Hence, traditional informed consent models consist of two obligations, namely inform and explicit consenting. This should provide a juridical authorization that aims to protect participants’ autonomy. Therefore participants’ autonomous choice is formalised to an administrative procedure, which should provide sufficient material to catalyse trust. However, such a definition does not ensure protection of participants’ autonomy and preservation of trust in reality. Researchers’ accountability and their transparency are limited to a minimum amount with one-time WIC. In practice an informed consent form is often signed without full understanding, giving the researcher the possibility of an escape to unethical behaviour. Moreover consent forms seem to have minor influence on trust, since trust is established in enduring interaction.6 Furthermore, while informed consent is highly valued by the research community, participants and general public tend to see less value in WIC. In a recent study a majority of the general population in the Netherlands considered explicit consent unnecessary if research and doctors fulfil their information duty.7 This is in line with Canadian findings of unanimity about the importance of being informed and diversity in opinions regarding preferences in consent types.8 Even scientist have challenged the current informed consent procedure and proposed alternatives like dynamic consent, meta-consent, participation pact, enhanced consent, and one-off consent. In the same vein, a National Acadamies Panel recently insisted on a ‘time-out’ for the proposed update of the Common Rule in the USA.9 Attitudes towards sharing information are changing, with people becoming more willing to share personal information while being more conscious about their rights. Autonomy as we know in the Kantian tradition takes in account the interests of other human beings. Hence, an autonomous choice requires clarifying and weighing of personal and others’ relevant interests. Participants’ autonomy is at stake if the context or aim of research changes during participation. Such a change asks for re-evaluation of relevant interests in order to ensure that qualifications still meet personal preferences. Therefore instruments are needed that provide a dynamic, continuous, and interactive method of informing. For example, a global informed consent can presumed to be effective when participants are maximally informed and their consent is qualified, as much as possible.1 Based on the described practical and ethical arguments we propose to replace the static WIC by a system with a variety of instruments that assure maximum information and communication. This system will enable a dynamic and interactive involvement of participants. Patient/participant web portals that are increasingly being developed, should include a two way connection to establish a proper information flow.10 Although participants can always decide to discontinue their participation, a system of maximum information and communication will enhance trust in research, since they are able to re-evaluate their balance of interests at any desired moment. Participation will be tailored on personal preferences and needs. Moreover this would stimulate participatory deciding which is important for trust. In conclusion, with a growing complexity in research and data, protection mechanisms need to become dynamic and interactive. Moreover, collaboration between researcher and participant needs to be based on trust rather than on distrust. Researchers and legislators from EU and US should join their forces to prevent parochialism. The static informed consent procedure does not fit this new thinking. Conflicts of interest: None declared. This viewpoint is partly funded by a grant of the Netherlands Organisation for Scientific Research (313-99-313).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,222
score de la tête « metaresearch » (Gemma)0,110
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,876
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,2220,110
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,004
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,894
Tête enseignante GPT0,670
Écart entre enseignants0,224 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations12
Publié2016
Routes d'admission1
Résumé présentoui

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