ArticleDigital health
Disease characteristics influence the privacy calculus to adopt electronic health records: A survey study in Germany.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Privacy Fact Sheets for Mitigating Disease-Related Privacy Concerns and Facilitating Equal Access to the Electronic Health Record: Randomized Controlled Trial.JMIR human factors · 2026Trial
- Determinants of Digital Health Resource Utilization Among Individuals With Self-Reported Bipolar Disorder in Germany-A Cross-Sectional Study Based on the Andersen Model.Bipolar disorders · 2026Article
- Digital Literacy and Interpersonal Trust as Predictors of Willingness to Share Patient-Generated Health Data Among Korean Internet Users: Cross-Sectional Study Using Privacy Calculus and Communication Privacy Management Theories.Journal of medical Internet research · 2026Article
- Usage and Perceptions of Electronic Patient Records Experienced by Users and Nonusers in the Canton of Vaud, Switzerland: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Determinants of consent for electronic health information exchange: an observational retrospective study.Health research policy and systems · 2025Observational
- User Input in the Development of Digital Sexual Health Tools: A Scoping Review and Guidance for Tool Developers.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Trustworthiness of the electronic health record in Germany: an exploratory, user-centered analysis.Frontiers in digital health · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The electronic health record (EHR) is integral to improving healthcare efficiency and quality. Its successful implementation hinges on patient willingness to use it, particularly in Germany where concerns about data security and privacy significantly influence usage intention. Little is known about how specific characteristics of medical data influence patients' intention to use the EHR. Objective: This study aims to validate the privacy calculus model (PCM) regarding EHRs and to assess how personal and disease characteristics, namely disease-related stigma and disease time course, affect PCM predictions. Methods: An online survey was conducted to empirically validate the PCM for EHR, incorporating a case vignette varying in disease-related stigma (high/low) and time course (acute/chronic), with Results: The model explains Conclusions: The PCM validation for EHRs reveals that personal and disease characteristics shape usage intention in Germany. The need for tailored EHR adoption strategies that address specific needs and concerns of patients with different disease types. Such strategies could lead to a more successful and widespread implementation of EHRs, especially in privacy-conscious contexts.
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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.