ArticleJournal of the American Medical Informatics Association : JAMIA2018
Patient preferences toward an interactive e-consent application for research using electronic health records.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Patient and Public Willingness to Share Personal Health Data for Third-Party or Secondary Uses: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Implementation of Electronic Informed Consent in Biomedical Research and Stakeholders' Perspectives: Systematic Review.Journal of medical Internet research · 2020Pooled it
- E-Consent-a guide to maintain recruitment in clinical trials during the COVID-19 pandemic.Trials · 2022Trial
- Does an interactive trust-enhanced electronic consent improve patient experiences when asked to share their health records for research? A randomized trial.Journal of the American Medical Informatics Association : JAMIA · 2019Trial
- An Electronic Tool to Support Patient-Centered Broad Consent: A Multi-Arm Randomized Clinical Trial in Family Medicine.Annals of family medicineTrial
- Electronic Informed Consent in the Multi-Arm Optimization of Stroke Thrombolysis Trial.Stroke · 2025Article
- Article
- Mobile App for Patients With Chronic Obstructive Pulmonary Diseases During Home-Based Exercise Care: Usability Study.JMIR human factors · 2024Article
- Article
- Health Professionals' Ethical, Security, and Patient Safety Concerns Using Digital Health Technologies: A Mixed Method Research Study.Health services insights · 2024Article
- Embedding research study recruitment within the patient portal preCheck-in.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Patients' and Members of the Public's Wishes Regarding Transparency in the Context of Secondary Use of Health Data: Scoping Review.Journal of medical Internet research · 2023Article
- Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review.Journal of medical Internet research · 2023Review
- Electronic informed consent criteria for research ethics review: a scoping review.BMC medical ethics · 2022Article
- Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World.Journal of medical Internet research · 2022Article
- Perspectives of Pregnant and Breastfeeding Women on Participating in Longitudinal Mother-Baby Studies Involving Electronic Health Records: Qualitative Study.JMIR pediatrics and parenting · 2021Article
- Facing new challenges to informed consent processes in the context of translational research: the case in CARPEM consortium.BMC medical ethics · 2021Review
- Preferences for Accessing Electronic Health Records for Research Purposes: Views of Parents Who Have a Child With a Known or Suspected Genetic Condition.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020Article
- Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting.International journal of medical informatics · 2020Review
- Key components and IT assistance of participant management in clinical research: a scoping review.JAMIA open · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveThe purpose of this study was to assess patient perceptions of using an interactive electronic consent (e-consent) application when deciding whether or not to grant broad consent for research use of their identifiable electronic health record (EHR) information. MATERIALS AND
methodsFor this qualitative study, we conducted a series of 42 think-aloud interviews with 32 adults. Interview transcripts were coded and analyzed using a modified grounded theory approach.
resultsWe identified themes related to patient preferences, reservations, and mixed attitudes toward consenting electronically; low- and high-information-seeking behavior; and an emphasis on reassuring information, such as data protections and prohibitions against sharing data with pharmaceutical companies. Participants expressed interest in the types of information contained in their EHRs, safeguards protecting EHR data, and specifics on studies that might use their EHR data. DISCUSSION: This study supports the potential value of interactive e-consent applications that allow patients to customize their consent experience. This study also highlights that some people have concerns about e-consent platforms and desire more detailed information about administrative processes and safeguards that protect EHR data used in research.
conclusionThis study contributes new insights on how e-consent applications could be designed to ensure that patients' information needs are met when seeking consent for research use of health record information. Also, this study offers a potential electronic approach to meeting the new Common Rule requirement that consent documents contain a "concise and focused" presentation of key information followed by more details.
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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.