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

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-12-17 DOI:10.2196/65646
Felix Patricius Hans, Jan Kleinekort, Melanie Boerries, Alexandra Nieters, Gerhard Kindle, Micha Rautenberg, Laura Bühler, Gerda Weiser, Michael Clemens Röttger, Carolin Neufischer, Matthias Kühn, Julius Wehrle, Anna Slagman, Antje Fischer-Rosinsky, Larissa Eienbröker, Frank Hanses, Gisbert Wilhelm Teepe, Hans-Jörg Busch, Leo Benning
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Abstract

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.

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德国医学信息学倡议在急诊科广泛同意:一项评估同意模式依赖成功率的单中心前瞻性观察研究。
背景:德国医学信息学倡议(MII)制定的广泛同意(BC)是一份国家蓝图,用于同意患者为研究目的使用常规收集的医疗、保险和联系数据和生物材料,确保遵守欧洲一般数据保护条例(GDPR)。急诊科(EDs)的特点是患者群体广泛且未经选择,这为来自不同人口统计学和社会经济群体以及不同疾病群体的患者提供了机会。虽然也提出了监管和伦理方面的挑战,但在ED环境中获得BC为增加ED数据的研究可用性提供了一个有希望的机会。目的:本研究旨在评估高等教育ED通过不同同意方式获得BC的成功率,并探讨影响同意率和辍学率的因素。方法:于2022年9月至12月在德国某高等急诊科进行单中心前瞻性观察研究。随机选择患者(每30例患者)并筛选是否有资格被告知BC。符合条件的患者通过以下三种方式之一获得通知:(a)直接在急诊科,(b)住院期间,或(c)出院后通过电话。主要结果是ED出现后30天内获得BC的成功率。次要结果包括分析患者特征、信息模式和信息交互时间对成功率和辍学率的潜在影响。结果:在研究期间的11,842例ED就诊中,419例患者被随机筛选为BC资格,其中151例符合纳入标准。其中,68名患者(45.0%)同意至少一个BC模块,24名患者(15.9%)拒绝参与。总体辍学率为39.1%,其中以电话为基础的组辍学率最高(52.3%),ED组最低(7.1%)。在急诊科治疗后住院期间面对面告知的患者同意率最高(85.2%),而在急诊科或通过电话接触的患者同意率为69.2%。Logistic回归分析表明,较长的互动时间与较高的同意率显著相关,而女性与辍学率增加相关。在同意组和不同意组之间,在年龄、分诊类别、账单细节(住院治疗)或诊断分布方面没有发现显著差异。结论:在ED环境下获得BC是可行的,并且显示了ED人群的代表性纳入。然而,从急诊科出院和女性对获得同意进行BC的几率有负面影响。面对面的互动大大提高了同意率,似乎是最有希望的方法,同意住院病人。相反,基于电话的方法导致更高的辍学率,但与急诊科的直接同意率相同。该研究强调了定制同意策略的必要性,表明在急诊科和病房保持工作人员提供BC信息并获得符合条件的患者的同意是有益的。临床试验:该研究已获得弗莱堡大学当地伦理委员会批准(22-1202-S1),并在德国试验注册中心注册(DRKS00028753)。我们对收集并存储在本地电子健康记录(EHR)中的假名常规数据进行了所有分析。该研究被纳入了一项评估不同同意环境下BC的多中心研究(NUM-CODEX-Plus, DRKS00030054)。
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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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