Evidence map›Paper›PMID 40053795›Full record

Trial reportJournal of medical Internet research2025

Effectiveness of Telehealth Versus In-Person Informed Consent: Randomized Study of Comprehension and Decision-Making.

Saif Khairat, Paige Ottmar, Prabal Chourasia, Jihad Obeid

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

4 authors.

Saif KhairatCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-8992-2946
Paige OttmarCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-3753-3113
Prabal ChourasiaCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0001-8685-0599
Jihad ObeidMedical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-7193-7779

Funding

Center for Virtual Care Value and Excellence (ViVE). RC2TR004380 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Saif Khairat · 2023 to 2026
$3.0M
Investigating teleconsent to improve clinical research access in remote communitiesR21TR002088 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI OBEID, JIHAD S · 2017 to 2018
$473k
NCATS NIH HHS R21 TR002088NCATS NIH HHS RC2 TR004380
6 · The paper itself

Abstract

backgroundObtaining informed consent (IC) is vital for ethically and effectively recruiting participants in research projects. However, traditional in-person IC approaches encounter notable obstacles, such as geographic barriers, transportation expenses, and literacy challenges, which can lead to delays in enrollment and increased costs. Telehealth, especially teleconsent, offers a potential way to overcome these obstacles by facilitating the IC process in a digital setting. Nonetheless, there are concerns about whether teleconsent can achieve levels of understanding and involvement that are equivalent to those of in-person IC meetings.

objectiveThis study aims to evaluate comprehension and decision-making in participants undergoing teleconsent versus traditional in-person IC. We used validated assessments to determine whether teleconsent is a viable alternative that maintains participants' understanding and decision-making abilities.

methodsA randomized comparative study design was used, recruiting potential participants for a parent study assessing patient experiences with patient portals. Participants were randomly assigned to 2 groups: teleconsent and in-person consent. The teleconsent group used Doxy.me software, allowing real-time interaction between researchers and participants while reviewing and electronically signing the IC documents. Recruitment involved using an institutional web-based platform to identify interested individuals, who were then contacted to assess eligibility and gather demographic information. The Decision-Making Control Instrument (DMCI) survey was used to assess the perceived voluntariness, trust, and decision self-efficacy. The Quality of Informed Consent (QuIC) was used to measure the comprehension level of the consent form. The validated Short Assessment of Health Literacy-English tool was used to measure participants' health literacy levels.

resultsA total of 64 participants were enrolled in the study, with 32 in the teleconsent group and 32 in the in-person group. Of 64 participants, 32 (50%) were in the teleconsent group, 54 (84.4%) were females, 44 (68.7%) were aged 18-34 years, 50 (78.1%) were White, and 31 (48.4%) had a bachelor degree. The mean SAHL-E scores were different between the teleconsent and in-person groups (16.72, SD 1.88 vs 17.38, SD 0.95; P=.03). No significant differences were found between the average scores at baseline and follow-up for QuIC part A (P=.29), QuIC part B (P=.25), and DMCI (P=.38) within the teleconsent and in-person groups. Additionally, there were no significant differences in QuIC or DMCI between subgroups based on age, sex, and ethnicity.

conclusionsThis study assessed the effectiveness of IC processes through telehealth compared to traditional in-person visits. Findings indicate that telehealth offers similar participant understanding and engagement while overcoming geographic and accessibility barriers. As health care adopts digital solutions, these results highlight telehealth's potential to improve recruitment and retention in clinical research, suggesting that policy makers should integrate telehealth practices into regulations for better access and health outcomes.

Indexed as

ComprehensionDecision MakingInformed ConsentTelemedicineAdultFemaleHealth LiteracyHumansMaleMiddle Agedcomprehensionconsentcross-sectioncross-sectional studydecision-makingeffectivenesseHealthfeasibilityhealth care servicesinformedinformed consentmHealthstatistical analysistelehealthtelemedicine

Identifiers

PMID40053795
PMCPMC11923464

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.