ConsentApp: App-based Consent for Pediatric Clinical Research
Study Details
Study Description
Brief Summary
This study aims to understand how well app-based consent performs compared to paper-based consent when recruiting families for a clinical research project. The investigators aim to demonstrate that app-based consent is as effective as traditional methods; this will be measured by questionnaires assessing the family's comprehension and preference.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Detailed Description
Purpose and justification:
Wider access to digital technologies, familiarity with apps, and the Coronavirus disease 2019 (COVID-19) pandemic increased the demand for virtual care, prompting the need for electronic documentation of consent for research as families no longer attend in-person clinics. The investigators previously developed an app to consent patients for donating research study data in addition to traditional paper-based consent. This study aims to understand how well app-based consent performs compared to paper-based consent when recruiting families for a clinical research project.
The investigators aim to demonstrate that app-based consent is as effective as traditional methods measured by questionnaires assessing the family's comprehension and preference. If successful, this study will provide evidence for using app-based consent to enable future researchers to use similar approaches or help us further improve our app. Supporting a diverse array of consenting methods that are equivalent in promoting comprehension and participant preferences can improve research recruitment rates and increase research participant satisfaction.
Hypotheses: App-augmented consent is not inferior to traditional paper-based consent in ensuring comprehension.
Research Design:
This project will be integrated into an anesthesia study (evaluating bubble blowing as a method of distraction during IV insertions in young children, known as the BubblesRCT) by adding app-based consent and its evaluation into the regular consent flow so that families experience either app-based or traditional paper-based consent. The questions used are drawn from an established consent comprehension questionnaire and were modified to suit the requirements of our anesthesia study. Participants will also be asked a series of questions to measure characteristics like participant trust and the ease of the consenting process.
This consent modality trial will have a separate allocation schedule. Any family, who may participate in BubblesRCT, and who can be approached for consent will be allocated either to this trial's intervention (Consent modality app) or control (Consent modality paper), whereby the allocation will be switched after four participants; this is for operational feasibility purposes as randomization before approaching the parent would delay recruitment. As blinding is impossible, there will be no attempt to conceal consent modality allocation from the clinical or study teams.
Data collection:
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The research assistant (RA) will thoroughly explain the BubblesRCT study, answer any preliminary questions, and leave the family with either a detailed paper consent form to review (Consent modality control group) or an iPad containing the consent app for review (Consent modality intervention group).
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The family will get 15 minutes to review the consent information privately.
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After the family have read the paper or the app-based consent form, an RA will answer any questions about the study that the family might have and invite them to consent to the BubblesRCT study. The parents will provide consent to the study either on paper or within the app (using the REDCap Electronic Informed Consent [eConsent] framework).
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All participants who have been approached, whether the family agree to participate in the Bubbles RCT or not, will be asked to complete a comprehension questionnaire with multiple-choice questions based on a modified form of the Deaconess Informed Consent Comprehension Test (DICCT) and with a selected a set of comprehension questions with known correct answer(s) that can be used to determine accuracy.
Statistical Analysis:
The block-randomized controlled trial for non-inferiority of consent modality will tabulate results and use Wilcoxon rank sum tests for the composite comprehension correctness score. Groups will also be compared element-wise for the Likert scales using Wilcoxon rank sum tests; results may also be interpreted qualitatively.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: App-based consent Prototype consent app based on REDCap eConsent module |
Device: Consent App
Family will receive their study information and consent form in an app on a tablet
|
| Active Comparator: Traditional paper-based consent Traditional paper-based consent |
Other: Traditional paper-based consent
Patient/family will receive their study information and consent on a traditional paper form
|
Outcome Measures
Primary Outcome Measures
- Effectiveness of app-based consent versus paper-based consent [Immediately after consent is given for the study]
To determine better or similar comprehension of study requirements, risks and benefits, as measured by a comprehension questionnaire, and better or similar family preference for this mode of consenting.
Secondary Outcome Measures
- Trust in the research consent process when using app-based consent versus paper-based consent [Immediately after consent is given for the study]
To determine whether app-based consent increases trust in the research consent process
Eligibility Criteria
Criteria
Inclusion Criteria:
- Children between the ages of 2 to 5 years who need an IV insertion in the medical imaging department.
Exclusion Criteria:
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Children who are nonverbal;
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Children with existing vascular access
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Families who choose not to have topical anesthetic placed on their child's hands
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Children receiving anxiolytic premedication
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Children planned to undergo mask induction of anesthesia before IV placement.
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- University of British Columbia
- BC Children's Hospital Research Institute
Investigators
- Principal Investigator: Matthias Görges, PhD, The University of British Columbia
Study Documents (Full-Text)
None provided.More Information
Additional Information:
Publications
- Adjekum A, Blasimme A, Vayena E. Elements of Trust in Digital Health Systems: Scoping Review. J Med Internet Res. 2018 Dec 13;20(12):e11254. doi: 10.2196/11254.
- Blake K, Holbrook JT, Antal H, Shade D, Bunnell HT, McCahan SM, Wise RA, Pennington C, Garfinkel P, Wysocki T. Use of mobile devices and the internet for multimedia informed consent delivery and data entry in a pediatric asthma trial: Study design and rationale. Contemp Clin Trials. 2015 May;42:105-18. doi: 10.1016/j.cct.2015.03.012. Epub 2015 Apr 3.
- Joffe S, Cook EF, Cleary PD, Clark JW, Weeks JC. Quality of informed consent: a new measure of understanding among research subjects. J Natl Cancer Inst. 2001 Jan 17;93(2):139-47. doi: 10.1093/jnci/93.2.139.
- Lalloo C, Pham Q, Cafazzo J, Stephenson E, Stinson J. A ResearchKit app to deliver paediatric electronic consent: Protocol of an observational study in adolescents with arthritis. Contemp Clin Trials Commun. 2020 Jan 14;17:100525. doi: 10.1016/j.conctc.2020.100525. eCollection 2020 Mar.
- Miller CK, O'Donnell DC, Searight HR, Barbarash RA. The Deaconess Informed Consent Comprehension Test: an assessment tool for clinical research subjects. Pharmacotherapy. 1996 Sep-Oct;16(5):872-8.
- Seltzer E, Goldshear J, Guntuku SC, Grande D, Asch DA, Klinger EV, Merchant RM. Patients' willingness to share digital health and non-health data for research: a cross-sectional study. BMC Med Inform Decis Mak. 2019 Aug 8;19(1):157. doi: 10.1186/s12911-019-0886-9.
- Sugarman J, Lavori PW, Boeger M, Cain C, Edsond R, Morrison V, Yeh SS. Evaluating the quality of informed consent. Clin Trials. 2005;2(1):34-41. doi: 10.1191/1740774505cn066oa.
- H22-01928b