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  3. Information Mode-Dependent Success Rates of Obtaining German Medical Informatics Initiative-Compliant Broad Consent in the Emergency Department: Single-Center Prospective Observational Study.
 

Information Mode-Dependent Success Rates of Obtaining German Medical Informatics Initiative-Compliant Broad Consent in the Emergency Department: Single-Center Prospective Observational Study.

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BORIS DOI
10.48620/78702
Publisher DOI
10.2196/65646
PubMed ID
39626089
Description
Background
The broad consent (BC) developed by the German Medical Informatics Initiative is a pivotal national strategy for obtaining patient consent to use routinely collected data from electronic health records, insurance companies, contact information, and biomaterials for research. Emergency departments (EDs) are ideal for enrolling diverse patient populations in research activities. Despite regulatory and ethical challenges, obtaining BC from patients in ED with varying demographic, socioeconomic, and disease characteristics presents a promising opportunity to expand the availability of ED data.Objective
This study aimed to evaluate the success rate of obtaining BC through different consenting approaches in a tertiary ED and to explore factors influencing consent and dropout rates.Methods
A single-center prospective observational study was conducted in a German tertiary ED from September to December 2022. Every 30th patient was screened for eligibility. Eligible patients were informed via one of three modalities: (1) directly in the ED, (2) during their inpatient stay on the ward, or (3) via telephone after discharge. The primary outcome was the success rate of obtaining BC within 30 days of ED presentation. Secondary outcomes included analyzing potential influences on the success and dropout rates based on patient characteristics, information mode, and the interaction time required for patients to make an informed decision.Results
Of 11,842 ED visits, 419 patients were screened for BC eligibility, with 151 meeting the inclusion criteria. Of these, 68 (45%) consented to at least 1 BC module, while 24 (15.9%) refused participation. The dropout rate was 39.1% (n=59) and was highest in the telephone-based group (57/109, 52.3%) and lowest in the ED group (1/14, 7.1%). Patients informed face-to-face during their inpatient stay following the ED treatment had the highest consent rate (23/27, 85.2%), while those approached in the ED or by telephone had consent rates of 69.2% (9/13 and 36/52). Logistic regression analysis indicated that longer interaction time significantly improved consent rates (P=.03), while female sex was associated with higher dropout rates (P=.02). Age, triage category, billing details (inpatient treatment), or diagnosis did not significantly influence the primary outcome (all P>.05).Conclusions
Obtaining BC in an ED environment is feasible, enabling representative inclusion of ED populations. However, discharge from the ED and female sex negatively affected consent rates to the BC. Face-to-face interaction proved most effective, particularly for inpatients, while telephone-based approaches resulted in higher dropout rates despite comparable consent rates to direct consenting in the ED. The findings underscore the importance of tailored consent strategies and maintaining consenting staff in EDs and on the wards to enhance BC information delivery and consent processes for eligible patients.Trial Registration
German Clinical Trials Register DRKS00028753; https://drks.de/search/de/trial/DRKS00028753.
Date of Publication
2024-12-17
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
100 Philosophy > 150 Psychology
Keyword(s)
Europe
•
Germany
•
biomedical
•
biomedical research
•
broad consent
•
data analysis
•
data science
•
delivery of health care
•
digital health
•
emergency
•
emergency medical services
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health care delivery
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informed consent
•
inpatient stay
•
inpatients
•
logistic regression analysis
•
medical informatics
•
prospective observational study
•
routinely collected health data
•
secondary data analysis
Language(s)
en
Contributor(s)
Hans, Felix Patricius
Kleinekort, Jan
Boerries, Melanie
Nieters, Alexandra
Kindle, Gerhard
Rautenberg, Micha
Bühler, Laura
Weiser, Gerda
Röttger, Michael Clemens
Neufischer, Carolin
Kühn, Matthias
Wehrle, Julius
Slagman, Anna
Fischer-Rosinsky, Antje
Eienbröker, Larissa
Hanses, Frank
Teepe, Gisbert Wilhelm
University Hospital of Geriatric Psychiatry and Psychotherapy
Busch, Hans-Jörg
Benning, Leo
Additional Credits
University Hospital of Geriatric Psychiatry and Psychotherapy
Series
JMIR Medical Informatics
Publisher
JMIR Publications
ISSN
2291-9694
Access(Rights)
open.access
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