Clinical trial NCT06656247: Implementing Dynamic Consent for Rare Disease Patients
Official title: Biobanks, Registries and National Health Records: Modelling a Networking Strategy to Foster Research and Development and to Support the Secondary Use of Data and Samples of Rare Disease Patients: Implementing Dynamic Consent for Rare Disease Patients
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Rare Disorders
Keywords: Dynamic Consent
Rare Diseases
Digital Tool
Informed Consent
Patient Engagement
Lead sponsor: Istituto Ortopedico Rizzoli
Sponsor class: OTHER
Collaborators: name: Azienda Ospedaliera Ospedali Riuniti Villa Sofia Cervello
First posted: 2024-10-24
Enrollment: 50
Sex: ALL
Maximum age (years): 100
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All rare patients diagnosed or followed up at IRCCs istituto Ortopedico Rizzoli and Azienda Ospedaliera Ospedali Riuniti Villa Sofia Cervello

Brief summary: The study aims to test on a cohort of rare patients a digital innovative tool to support patients/parents in the informed consent and assent process and to keep up-to-date a lawful informed and dynamic consent and to use samples and data for research purposes. This will favour their engagement in clinical studies, a step which is well known to be very demanding, particularly in the rare diseases scenario, and stimulate a bidirectional dialogue between researchers and patients/parents/legal representatives.

Detailed description: The study is organized into three main steps. Firstly, an anonymous Consent Survey, will be prepared to collect the opinions of stakeholders engaged in the RDs on strengths and weaknesses of the process of consent and assent collection. This Survey will be conducted through SurveyMonkey or similar tools, posted on websites and social media, and made available to all stakeholders (patients, carers, healthcare professionals, patient associations). Key topics like the proper consideration of paediatric specificities due to age-dependent characteristics and patient satisfaction in terms of information received during the consent/assent process will be addressed.

The survey will comprise multiple-choice and open questions. Expectations related to the use of dynamic consent, potential disbeliefs, and tools for promoting and regulating participation into future research studies (text, video) will also be evaluated. Statistical analysis on survey results, as well as sentiment analysis, will be performed.

The second step will consist of two main activities:

A) the realization of dynamic informed consent and assent templates for the processing and management of data and samples. The templates will be drafted based on the long-standing experience of the research teams and the outcomes of the Consent Survey, along with the available literature and guidelines. They will be designed in full compliance with the GDPR as implemented by the Italian legislation. Information on patients\&amp;#39; rights, purposes of data usage, legal basis and measures taken to implement lawfulness of data processing will be included.

B) The design and establishment of an innovative digital tool (a software application) to implement the dynamic consent and allowing interaction among healthcare professionals and patients. This tool will be designed considering multiple aspects, like Consent Survey results. Firstly, this tool will guide patients and caregivers to a rapid and easy access to their consent/assent, allowing them to have a clear picture of their consented studies and consenting preferences, to possibly modify and/or withdraw their consent. Secondly, new studies will be synthetically published on the digital tool, in order to favour the patients' engagement, with a particular attention to adolescents and young adults who are more familiar with these approaches, being digital natives. RD patients may be re-contacted to be informed about any new purposes of data and sample processing. The digital tool will allow healthcare professionals to give feedback on ongoing studies and to present results in layman's terms to patients. Finally, it will be of help in critical steps of the research process, such as re-consenting procedures for minors who reach the age of legal competency. Considering all the mentioned components, the digital tool will promote a high-level of transparency. The final positive impact expected is an improved process resulting in reduced costs for both patients and the National Health System. In fact, the integration of data from multiple sources will result in increased knowledge and dissemination of correct information directly to patients thus drastically reducing misinformation, duplicate visits, and optimizing patient enrolment.

The third step of this aim is the test and validation of the dynamic consent in a cohort of rare patients. Enrolling centers, both dealing with RD patients' consent on a daily basis, will conduct a pilot study enrolling a cohort of RD patients (min. 50 subjects) during clinical routine care. This step will comprise a satisfaction questionnaire - proposed to all participating patients and carers - with the final aim of identifying pitfalls and opportunities of this innovative consenting approach, and eventually implement the digital tool according to the collected responses.

Eligibility criteria: Inclusion Criteria:

* Patients affected by a rare disease (based on clinical or genetic findings)
* Patients with a suspect of rare disease (based on clinical or genetic findings)

Exclusion Criteria:

* All patients who do not meet the inclusion criteria will be excluded from the study

Primary outcomes:
measure: Test the usability of dynamic consent in a cohort of rare patients
timeFrame: From platform establishment, an average of 1 year
Secondary outcomes:
measure: Ammeliorate the dynamic consent platform following indications received by rare patients and their carer
timeFrame: After completion of primary outcome, an avaerage 2 months
Other outcomes:
Locations:
Study officials:
References:
citation: Merlec MM, Lee YK, Hong SP, In HP. A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR. Sensors (Basel). 2021 Nov 30;21(23):7994. doi: 10.3390/s21237994.
citation: Prictor M, Lewis MA, Newson AJ, Haas M, Baba S, Kim H, Kokado M, Minari J, Molnar-Gabor F, Yamamoto B, Kaye J, Teare HJA. Dynamic Consent: An Evaluation and Reporting Framework. J Empir Res Hum Res Ethics. 2020 Jul;15(3):175-186. doi: 10.1177/1556264619887073. Epub 2019 Nov 15.
citation: Dankar FK, Gergely M, Malin B, Badji R, Dankar SK, Shuaib K. Dynamic-informed consent: A potential solution for ethical dilemmas in population sequencing initiatives. Comput Struct Biotechnol J. 2020 Apr 2;18:913-921. doi: 10.1016/j.csbj.2020.03.027. eCollection 2020.
citation: Grady C. Enduring and emerging challenges of informed consent. N Engl J Med. 2015 Feb 26;372(9):855-62. doi: 10.1056/NEJMra1411250.
citation: Cocanour CS. Informed consent-It's more than a signature on a piece of paper. Am J Surg. 2017 Dec;214(6):993-997. doi: 10.1016/j.amjsurg.2017.09.015. Epub 2017 Sep 20.