Evidence map›Paper›PMID 29875084›Full record

ArticleJMIR research protocols2018

A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development.

Robert D Furberg, Alexa M Ortiz, Rebecca R Moultrie, Melissa Raspa, Anne C Wheeler, Lauren A McCormack, Donald B Bailey

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02465931 (Decisional Capacity and Informed Consent in Fragile X Syndrome), which is not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02465931 nacompletednot on this map

Decisional Capacity and Informed Consent in Fragile X Syndrome

TypeinterventionalSponsorRTI InternationalRan2016 to 2017Enrolled152ConditionsFragile X Syndrome (FXS)ArmsPaper and Pencil Informed Consent, Digital Informed Consent Tool
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  5. Development of web- and mobile-based shared decision-making tools in the neurological intensive care unit.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Robert D FurbergDigital Health and Clinical Informatics, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0002-3803-1879
Alexa M OrtizDigital Health and Clinical Informatics, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0002-8121-1250
Rebecca R MoultriePatient and Family Engagement, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0003-2102-2287
Melissa RaspaCenter for Newborn Screening, Ethics, and Disability Studies, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0003-3791-3367
Anne C WheelerCenter for Newborn Screening, Ethics, and Disability Studies, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0003-2693-5616
Lauren A McCormackPublic Health Research Division, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0002-5362-0540
Donald B BaileyCenter for Newborn Screening, Ethics, and Disability Studies, RTI International, Research Triangle Park, NC, United States.ORCID http://orcid.org/0000-0002-0513-9330

Funding

Decisional Capacity and Informed Consent in Fragile X SyndromeR01HD071987 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI BAILEY, DONALD B · 2012 to 2016
$3.1M
NICHD NIH HHS R01 HD071987
6 · The paper itself

Abstract

backgroundChallenges in the clinical and research consent process indicate the need to develop tailored, supportive interventions for all individuals, especially those with limited decisional capacity. We developed a tool to enhance shared decision making and the decisional capacity for individuals with fragile X syndrome engaged in the informed consent process for a clinical trial.

objectiveWe describe the design and development process of a tablet-based decision support tool.

methodsOur development process for the decision support tool employed a user-centered, feature-driven design approach. We began with an environmental scan to catalog relevant mobile apps, and we conducted interviews with people with a diagnosis of fragile X syndrome and clinicians at fragile X syndrome clinics. To develop content for the decision support tool, we extracted key concepts and elements from a real clinical trial consent form and rewrote it using plain-language principles.

resultsWe used iterative testing to continuously evaluate and revise the decision support tool content. The tool was finalized in 2016 and contained a series of vignettes, quiz questions, and a sorting activity. A randomized controlled trial was then conducted to compare the efficacy of the decision support tool with a standard verbal presentation of material that mimicked typical informed consent practice.

conclusionsThe informed consent process is primed to leverage digital health resources that promote increased understanding and engagement of research participants in the consent and research process. The process and experiences we describe may provide a model for other digital health design and development initiatives seeking to create more interactive and accessible decision support resources.

trial registrationClinicalTrials.gov NCT02465931; https://www.clinicaltrials.gov/ct2/show/NCT02465931 (Archived by WebCite at http://www.webcitation.org/6zx2KY9YW).

Indexed as

decision supportdigital healthfragile X syndromeinformed consentintellectual disabilitytelemedicine

Identifiers

PMID29875084
PMCPMC6010840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.