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von Kalckreuth N, Feufel MA. Disease characteristics influence the privacy calculus to adopt electronic health records: A survey study in Germany. Digit Health 2024; 10:20552076241274245. [PMID: 39247096 PMCID: PMC11378173 DOI: 10.1177/20552076241274245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 07/17/2024] [Indexed: 09/10/2024] Open
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 N = 241 participants, aged 18 years and older residing in Germany with no previous experience with the diseases mentioned in the respective medical reports. Participants were randomized (single-blinded) into four groups in parallel: high stigma and acute time course (n = 74), high stigma and chronic time course (n = 56), low stigma and acute time course (n = 62) and low stigma and chronic time course (n = 49). The data were analyzed using structural equation modeling with partial least squares. Results The model explains R² = 71.8% of the variance in intention to use. The intention to use is influenced by perceived benefits, data privacy concerns, trust in the provider, and social norms. However, only the disease's time course, not stigma, affects this intention. For acute diseases, perceived benefits and social norms are influential, whereas for chronic diseases, perceived benefits, privacy concerns, and trust in the provider influence intention. 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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Affiliation(s)
- Niklas von Kalckreuth
- Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany
| | - Markus A Feufel
- Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany
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Brown SA, Hamid A, Pederson E, Bs AH, Maddula R, Goodman R, Lamberg M, Caraballo P, Noseworthy P, Lukan O, Echefu G, Berman G, Choudhuri I. Simplified rules-based tool to facilitate the application of up-to-date management recommendations in cardio-oncology. CARDIO-ONCOLOGY (LONDON, ENGLAND) 2023; 9:37. [PMID: 37891699 PMCID: PMC10605976 DOI: 10.1186/s40959-023-00179-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 05/24/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND Millions of cancer survivors are at risk of cardiovascular diseases, a leading cause of morbidity and mortality. Tools to potentially facilitate implementation of cardiology guidelines, consensus recommendations, and scientific statements to prevent atherosclerotic cardiovascular disease (ASCVD) and other cardiovascular diseases are limited. Thus, inadequate utilization of cardiovascular medications and imaging is widespread, including significantly lower rates of statin use among cancer survivors for whom statin therapy is indicated. METHODS In this methodological study, we leveraged published guidelines documents to create a rules-based tool to include guidelines, expert consensus, and medical society scientific statements relevant to point of care cardiovascular disease prevention in the cardiovascular care of cancer survivors. Any overlap, redundancy, or ambiguous recommendations were identified and eliminated across all converted sources of knowledge. The integrity of the tool was assessed with use case examples and review of subsequent care suggestions. RESULTS An initial selection of 10 guidelines, expert consensus, and medical society scientific statements was made for this study. Then 7 were kept owing to overlap and revisions in society recommendations over recent years. Extensive formulae were employed to translate the recommendations of 7 selected guidelines into rules and proposed action measures. Patient suitability and care suggestions were assessed for several use case examples. CONCLUSION A simple rules-based application was designed to provide a potential format to deliver critical cardiovascular disease best-practice prevention recommendations at the point of care for cancer survivors. A version of this tool may potentially facilitate implementing these guidelines across clinics, payers, and health systems for preventing cardiovascular diseases in cancer survivors. TRIAL REGISTRATION ClinicalTrials.Gov Identifier: NCT05377320.
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Affiliation(s)
- Sherry-Ann Brown
- Cardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
| | | | | | | | | | | | | | | | - Peter Noseworthy
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Opeoluwa Lukan
- Department of Internal Medicine, Baton Rouge General Medical Center, Baton Rouge, LA, USA
| | - Gift Echefu
- Department of Internal Medicine, Baton Rouge General Medical Center, Baton Rouge, LA, USA
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Kariotis TC, Prictor M, Chang S, Gray K. Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review. J Med Internet Res 2022; 24:e30405. [PMID: 35507393 PMCID: PMC9118021 DOI: 10.2196/30405] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/14/2021] [Accepted: 01/13/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND The adoption of electronic health records (EHRs) and electronic medical records (EMRs) has been slow in the mental health context, partly because of concerns regarding the collection of sensitive information, the standardization of mental health data, and the risk of negatively affecting therapeutic relationships. However, EHRs and EMRs are increasingly viewed as critical to improving information practices such as the documentation, use, and sharing of information and, more broadly, the quality of care provided. OBJECTIVE This paper aims to undertake a scoping review to explore the impact of EHRs on information practices in mental health contexts and also explore how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs in mental health contexts. METHODS We considered a scoping review to be the most appropriate method for this review because of the relatively recent uptake of EHRs in mental health contexts. A comprehensive search of electronic databases was conducted with no date restrictions for articles that described the use of EHRs, EMRs, or associated systems in the mental health context. One of the authors reviewed all full texts, with 2 other authors each screening half of the full-text articles. The fourth author mediated the disagreements. Data regarding study characteristics were charted. A narrative and thematic synthesis approach was taken to analyze the included studies' results and address the research questions. RESULTS The final review included 40 articles. The included studies were highly heterogeneous with a variety of study designs, objectives, and settings. Several themes and subthemes were identified that explored the impact of EHRs on information practices in the mental health context. EHRs improved the amount of information documented compared with paper. However, mental health-related information was regularly missing from EHRs, especially sensitive information. EHRs introduced more standardized and formalized documentation practices that raised issues because of the focus on narrative information in the mental health context. EHRs were found to disrupt information workflows in the mental health context, especially when they did not include appropriate templates or care plans. Usability issues also contributed to workflow concerns. Managing the documentation of sensitive information in EHRs was problematic; clinicians sometimes watered down sensitive information or chose to keep it in separate records. Concerningly, the included studies rarely involved service user perspectives. Furthermore, many studies provided limited information on the functionality or technical specifications of the EHR being used. CONCLUSIONS We identified several areas in which work is needed to ensure that EHRs benefit clinicians and service users in the mental health context. As EHRs are increasingly considered critical for modern health systems, health care decision-makers should consider how EHRs can better reflect the complexity and sensitivity of information practices and workflows in the mental health context.
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Affiliation(s)
- Timothy Charles Kariotis
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia
- Melbourne School of Government, The University of Melbourne, Carlton, Australia
| | - Megan Prictor
- Melbourne Law School, University of Melbourne, Carlton, Australia
- Centre for Digital Transformation of Health, University of Melbourne, Parkville, Australia
| | - Shanton Chang
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia
| | - Kathleen Gray
- Centre for Digital Transformation of Health, University of Melbourne, Parkville, Australia
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Shen N, Bernier T, Sequeira L, Strauss J, Silver MP, Carter-Langford A, Wiljer D. Understanding the patient privacy perspective on health information exchange: A systematic review. Int J Med Inform 2019; 125:1-12. [DOI: 10.1016/j.ijmedinf.2019.01.014] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 10/01/2018] [Accepted: 01/31/2019] [Indexed: 12/16/2022]
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Wildenbos GA, Horenberg F, Jaspers M, Peute L, Sent D. How do patients value and prioritize patient portal functionalities and usage factors? A conjoint analysis study with chronically ill patients. BMC Med Inform Decis Mak 2018; 18:108. [PMID: 30463613 PMCID: PMC6249922 DOI: 10.1186/s12911-018-0708-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 11/13/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Patient portal use can be a stimulant for patient engagement. Yet, the heterogeneous landscape of tethered patient portals, is a major barrier to further portal development and implementation. A variety in portal access means, functionalities, usability and usefulness exists; without having accurate sight on patient perspectives. We aimed to get insights on possible coherence between patients' preferred usage factors of portals and patients' prioritization of functionalities, within the complexity of their disease management across different healthcare organizations. METHODS A conjoint analysis questionnaire was sent to patient panels of two large patient associations in The Netherlands, centered on heart and vascular diseases and lung diseases. RESULTS Of 1294 patient respondents, 81% were 55+ years old and 49% were 65+ years old. Overall respondents significantly prioritized user-friendly access to a portal, via a laptop or desktop. Patients aged < 65 were less negative about using tablets to access a portal compared to the total respondents. Patients had no preference for a digital interoperable export functionality; most respondents preferred to create printable overviews. Built-in publication delay of two weeks for medical information was not preferred. Our results show no significant preference of patients between 'instant publication' versus 'publication after new information has been explained by a healthcare provider'. Overall respondents and experienced portal users had a strong preference to be able to communicate with their provider via a portal and to use a portal providing information from multiple providers. Lung patients preferred information from one provider and did not require the possibility to ask online questions. CONCLUSIONS Heart and vascular patients as well as lung patients prefer similar technical patient portal aspects, independent of their medical condition. Yet, in current portals consistency on this matter is lacking. It is highly assumable that offering a more consistent user-experience across the variety of patient portals could help increase patient portal acceptance, ultimately helping to stimulate patient engagement via patient portal use. We further affirm the need for customization on medical information publication and sharing information of various providers through patient portals, where information provision can be adapted to preferences of patients related to their medical condition(s).
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Affiliation(s)
- Gaby Anne Wildenbos
- Center for Human Factors Engineering of Health Information Technology, Department of Medical Informatics, PO Box 22660, 1100 DD Amsterdam, The Netherlands
- Department of Medical Informatics, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, PO Box 22660, 1100 Meibergdreef 9 , DD Amsterdam, The Netherlands
| | - Frank Horenberg
- Department of Medical Informatics, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, PO Box 22660, 1100 Meibergdreef 9 , DD Amsterdam, The Netherlands
- ZIVVER, PO Box 75293, 1070 AG Amsterdam, The Netherlands
| | - Monique Jaspers
- Center for Human Factors Engineering of Health Information Technology, Department of Medical Informatics, PO Box 22660, 1100 DD Amsterdam, The Netherlands
- Department of Medical Informatics, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, PO Box 22660, 1100 Meibergdreef 9 , DD Amsterdam, The Netherlands
| | - Linda Peute
- Center for Human Factors Engineering of Health Information Technology, Department of Medical Informatics, PO Box 22660, 1100 DD Amsterdam, The Netherlands
- Department of Medical Informatics, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, PO Box 22660, 1100 Meibergdreef 9 , DD Amsterdam, The Netherlands
| | - Danielle Sent
- Department of Medical Informatics, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, PO Box 22660, 1100 Meibergdreef 9 , DD Amsterdam, The Netherlands
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Vamathevan J, Birney E. A Review of Recent Advances in Translational Bioinformatics: Bridges from Biology to Medicine. Yearb Med Inform 2017; 26:178-187. [PMID: 29063562 PMCID: PMC6239226 DOI: 10.15265/iy-2017-017] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Indexed: 11/24/2022] Open
Abstract
Objectives: To highlight and provide insights into key developments in translational bioinformatics between 2014 and 2016. Methods: This review describes some of the most influential bioinformatics papers and resources that have been published between 2014 and 2016 as well as the national genome sequencing initiatives that utilize these resources to routinely embed genomic medicine into healthcare. Also discussed are some applications of the secondary use of patient data followed by a comprehensive view of the open challenges and emergent technologies. Results: Although data generation can be performed routinely, analyses and data integration methods still require active research and standardization to improve streamlining of clinical interpretation. The secondary use of patient data has resulted in the development of novel algorithms and has enabled a refined understanding of cellular and phenotypic mechanisms. New data storage and data sharing approaches are required to enable diverse biomedical communities to contribute to genomic discovery. Conclusion: The translation of genomics data into actionable knowledge for use in healthcare is transforming the clinical landscape in an unprecedented way. Exciting and innovative models that bridge the gap between clinical and academic research are set to open up the field of translational bioinformatics for rapid growth in a digital era.
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Affiliation(s)
- J. Vamathevan
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - E. Birney
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
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