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| Name | Class |
|---|---|
| BC Children's Hospital Research Institute | OTHER |
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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.
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:
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| App-based consent | Experimental | Prototype consent app based on REDCap eConsent module |
|
| Traditional paper-based consent | Active Comparator | Traditional paper-based consent |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Consent App | Device | Family will receive their study information and consent form in an app on a tablet |
|
| Measure | Description | Time Frame |
|---|---|---|
| Effectiveness of app-based consent versus paper-based consent | 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. Scored using a 5-item custom multiple-choice test, with higher scores being better. | Immediately after consent is given for the study |
| Measure | Description | Time Frame |
|---|---|---|
| Trust in the research consent process when using app-based consent versus paper-based consent | To determine whether app-based consent increases trust in the research consent process using a single Likert scale question (range 1-5, higher is better) | Immediately after consent is given for the study |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Matthias Görges, PhD | The University of British Columbia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| BC Children ' s Hospital | Vancouver | British Columbia | V6H 3N1 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32211557 | Background | 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. | |
| 25847579 | Background |
| Label | URL |
|---|---|
| Pediatric Anesthesia Research Team website | View source |
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Results will be presented at scientific conferences and published in peer-reviewed anesthesia journals. Once data collection is complete, a de-identified version of the data may be made available to other researchers. This is stated explicitly in the consent form, and participants are notified during the consent process that their de-identified data may be released to others for research purposes.
Once data collection is complete, de-identified data will be deposited in the University of British Columbia (UBC)'s Dataverse Repository. The study teams will keep research data for five years post-publication, as outlined in the UBC study data retention guidelines, after which it will be destroyed.
Details have yet to be determined.
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| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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Open Label Randomized Controlled Trial
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As blinding is impossible, we will not conceal allocation from any members of the clinical or study teams.
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| Traditional paper-based consent | Other | Patient/family will receive their study information and consent on a traditional paper form |
|
| 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. |
| 31395102 | Background | 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. |
| 30545807 | Background | 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. |
| 8888082 | Background | 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. |
| 11208884 | Background | 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. |
| 16279577 | Background | 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. |
| D024801 |
| Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |