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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Mar 9, 2018
Open Peer Review Period: Mar 9, 2018 - Mar 29, 2018
Date Accepted: Aug 28, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

A Digital Health App to Assess Decisional Capacity to Provide Informed Consent: Protocol for a Randomized Controlled Trial

Furberg RD, Raspa M, Wheeler AC, McCormack LA, Bailey DB

A Digital Health App to Assess Decisional Capacity to Provide Informed Consent: Protocol for a Randomized Controlled Trial

JMIR Res Protoc 2018;7(11):e10360

DOI: 10.2196/10360

PMID: 30455171

PMCID: 6277828

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A Digital Health App to Assess Decisional Capacity to Provide Informed Consent: Protocol for a Randomized Controlled Trial

  • Robert D Furberg; 
  • Melissa Raspa; 
  • Anne C Wheeler; 
  • Lauren A McCormack; 
  • Donald B Bailey

Background:

Any study with human subjects must have a robust consent process to ensure that participants understand the study and can decide whether they want to be involved. Investigators must determine whether a potential study participant is able to make an informed decision and what modifications or supports are needed to maximize participation in decision making. A variety of approaches have been used to modify consent forms and the consent process to increase the research participants’ decisional capacity. This protocol describes a randomized controlled trial (RCT) of a digital health app to support decision making among individuals contemplating providing consent to participate in a clinical trial.

Objective:

The objective of this RCT will be to determine if the use of a tablet-based app facilitates greater participation in and satisfaction with the consent process compared with standard practice and identify which individual factors are associated with better response to the decision aid. We hypothesize that the tablet-based version of the consent process will promote more informed decision making, including decisions that are more consistent with individual preferences and values expressed during qualitative data collection.

Methods:

A two-arm RCT will be conducted in a sample of approximately 100 individuals with fragile X syndrome in their homes across the United States.

Results:

Data analysis will be completed by late 2018.

Conclusions:

By developing and testing a novel consent decision aid, we will have a better understanding of whether and how technological support can optimize the fit between the decisional capacity and the decisional process.

ClinicalTrial:

ClinicalTrials.gov NCT02465931; https://clinicaltrials.gov/ct2/show/NCT02465931 (Archived by WebCite at http://www.webcitation.org/72Q3xJQAw)

International Registered Report:

PRR1-10.2196/10360


 Citation

Please cite as:

Furberg RD, Raspa M, Wheeler AC, McCormack LA, Bailey DB

A Digital Health App to Assess Decisional Capacity to Provide Informed Consent: Protocol for a Randomized Controlled Trial

JMIR Res Protoc 2018;7(11):e10360

DOI: 10.2196/10360

PMID: 30455171

PMCID: 6277828

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.