-
Healthcare (Basel, Switzerland) Feb 2021Blockchain technology was introduced through Bitcoin in a 2008 whitepaper by the mysterious Satoshi Nakamoto. Since its inception, it has gathered great attention... (Review)
Review
Blockchain technology was introduced through Bitcoin in a 2008 whitepaper by the mysterious Satoshi Nakamoto. Since its inception, it has gathered great attention because of its unique properties-immutability and decentralized authority. This technology is now being implemented in various fields such as healthcare, IoT, data management, etc., apart from cryptocurrencies. As it is a newly emerging technology, researchers and organizations face many challenges in integrating this technology into other fields. Consent management is one of the essential processes in an organization because of the ever-evolving privacy laws, which are introduced to provide more control to users over their data. This paper is a systematic review of Blockchain's application in the field of consent and privacy data management. The review discusses the adaptation of Blockchain in healthcare, IoT, identity management, and data storage. This analysis is formed on the principles of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and a process of systematic mapping review. We provide analysis of the development, challenges, and limitations of blockchain technology for consent management.
PubMed: 33535465
DOI: 10.3390/healthcare9020137 -
JMIR MHealth and UHealth Apr 2022Loneliness and social isolation are associated with multiple health problems, including depression, functional impairment, and death. Mobile sensing using smartphones... (Review)
Review
BACKGROUND
Loneliness and social isolation are associated with multiple health problems, including depression, functional impairment, and death. Mobile sensing using smartphones and wearable devices, such as fitness trackers or smartwatches, as well as ambient sensors, can be used to acquire data remotely on individuals and their daily routines and behaviors in real time. This has opened new possibilities for the early detection of health and social problems, including loneliness and social isolation.
OBJECTIVE
This scoping review aimed to identify and synthesize recent scientific studies that used passive sensing techniques, such as the use of in-home ambient sensors, smartphones, and wearable device sensors, to collect data on device users' daily routines and behaviors to detect loneliness or social isolation. This review also aimed to examine various aspects of these studies, especially target populations, privacy, and validation issues.
METHODS
A scoping review was undertaken, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Studies on the topic under investigation were identified through 6 databases (IEEE Xplore, Scopus, ACM, PubMed, Web of Science, and Embase). The identified studies were screened for the type of passive sensing detection methods for loneliness and social isolation, targeted population, reliability of the detection systems, challenges, and limitations of these detection systems.
RESULTS
After conducting the initial search, a total of 40,071 papers were identified. After screening for inclusion and exclusion criteria, 29 (0.07%) studies were included in this scoping review. Most studies (20/29, 69%) used smartphone and wearable technology to detect loneliness or social isolation, and 72% (21/29) of the studies used a validated reference standard to assess the accuracy of passively collected data for detecting loneliness or social isolation.
CONCLUSIONS
Despite the growing use of passive sensing technologies for detecting loneliness and social isolation, some substantial gaps still remain in this domain. A population heterogeneity issue exists among several studies, indicating that different demographic characteristics, such as age and differences in participants' behaviors, can affect loneliness and social isolation. In addition, despite extensive personal data collection, relatively few studies have addressed privacy and ethical issues. This review provides uncertain evidence regarding the use of passive sensing to detect loneliness and social isolation. Future research is needed using robust study designs, measures, and examinations of privacy and ethical concerns.
Topics: Humans; Loneliness; Reproducibility of Results; Smartphone; Social Isolation; Wearable Electronic Devices
PubMed: 35412465
DOI: 10.2196/34638 -
Sensors (Basel, Switzerland) Jan 2023As the Internet of Things (IoT) concept materialized worldwide in complex ecosystems, the related data security and privacy issues became apparent. While the system... (Review)
Review
As the Internet of Things (IoT) concept materialized worldwide in complex ecosystems, the related data security and privacy issues became apparent. While the system elements and their communication paths could be protected individually, generic, ecosystem-wide approaches were sought after as well. On a parallel timeline to IoT, the concept of distributed ledgers and blockchains came into the technological limelight. Blockchains offer many advantageous features in relation to enhanced security, anonymity, increased capacity, and peer-to-peer capabilities. Although blockchain technology can provide IoT with effective and efficient solutions, there are many challenges related to various aspects of integrating these technologies. While security, anonymity/data privacy, and smart contract-related features are apparently advantageous for blockchain technologies (BCT), there are challenges in relation to storage capacity/scalability, resource utilization, transaction rate scalability, predictability, and legal issues. This paper provides a systematic review on state-of-the-art approaches of BCT and IoT integration, specifically in order to solve certain security- and privacy-related issues. The paper first provides a brief overview of BCT and IoT's basic principles, including their architecture, protocols and consensus algorithms, characteristics, and the challenges of integrating them. Afterwards, it describes the survey methodology, including the search strategy, eligibility criteria, selection results, and characteristics of the included articles. Later, we highlight the findings of this study which illustrates different works that addressed the integration of blockchain technology and IoT to tackle various aspects of privacy and security, which are followed by a categorization of applications that have been investigated with different characteristics, such as their primary information, objective, development level, target application, type of blockchain and platform, consensus algorithm, evaluation environment and metrics, future works or open issues (if any), and further notes for consideration. Furthermore, a detailed discussion of all articles is included from an architectural and operational perspective. Finally, we cover major gaps and future considerations that can be taken into account when integrating blockchain technology with IoT.
Topics: Blockchain; Ecosystem; Internet of Things; Privacy; Technology; Computer Security
PubMed: 36679582
DOI: 10.3390/s23020788 -
JMIR MHealth and UHealth Jun 2021During the COVID-19 pandemic, contact tracing apps have received a lot of public attention. The ongoing debate highlights the challenges of the adoption of data-driven... (Review)
Review
BACKGROUND
During the COVID-19 pandemic, contact tracing apps have received a lot of public attention. The ongoing debate highlights the challenges of the adoption of data-driven innovation. We reflect on how to ensure an appropriate level of protection of individual data and how to maximize public health benefits that can be derived from the collected data.
OBJECTIVE
The aim of the study was to analyze available COVID-19 contact tracing apps and verify to what extent public health interests and data privacy standards can be fulfilled simultaneously in the process of the adoption of digital health technologies.
METHODS
A systematic review of PubMed and MEDLINE databases, as well as grey literature, was performed to identify available contact tracing apps. Two checklists were developed to evaluate (1) the apps' compliance with data privacy standards and (2) their fulfillment of public health interests. Based on both checklists, a scorecard with a selected set of minimum requirements was created with the goal of estimating whether the balance between the objective of data privacy and public health interests can be achieved in order to ensure the broad adoption of digital technologies.
RESULTS
Overall, 21 contact tracing apps were reviewed. In total, 11 criteria were defined to assess the usefulness of each digital technology for public health interests. The most frequently installed features related to contact alerting and governmental accountability. The least frequently installed feature was the availability of a system of medical or organizational support. Only 1 app out of 21 (5%) provided a threshold for the population coverage needed for the digital solution to be effective. In total, 12 criteria were used to assess the compliance of contact tracing apps with data privacy regulations. Explicit user consent, voluntary use, and anonymization techniques were among the most frequently fulfilled criteria. The least often implemented criteria were provisions of information about personal data breaches and data gathered from children. The balance between standards of data protection and public health benefits was achieved best by the COVIDSafe app and worst by the Alipay Health Code app.
CONCLUSIONS
Contact tracing apps with high levels of compliance with standards of data privacy tend to fulfill public health interests to a limited extent. Simultaneously, digital technologies with a lower level of data privacy protection allow for the collection of more data. Overall, this review shows that a consistent number of apps appear to comply with standards of data privacy, while their usefulness from a public health perspective can still be maximized.
Topics: COVID-19; Child; Contact Tracing; Humans; Mobile Applications; Pandemics; Privacy; Public Health; SARS-CoV-2
PubMed: 34033581
DOI: 10.2196/23250 -
Journal of Dentistry Jul 2022This scoping review aims to review explore, assess, and map the literature to inform clinical practice regarding communication between clinicians. Specific Apps/channels... (Review)
Review
OBJECTIVES
This scoping review aims to review explore, assess, and map the literature to inform clinical practice regarding communication between clinicians. Specific Apps/channels used were identified and assessed with a focus on data security with key concepts and knowledge gaps identified.
DATA
The Joanna Briggs Institute framework is followed, with search results reported as per the PRISMA ScR for scoping reviews guidelines.
SOURCES
A systematic search strategy encompassing EBSCO and OneSearch databases was conducted - two identical searches, (June and October 2020) limited to English language articles published 2016-2020. A narrative synthesis was used to integrate and report the findings.
STUDY SELECTION
Sixty-six publications were selected. Twelve from EBSCO, thirty-five from OneSearch, nineteen were hand searched. Sixteen of the publications were research studies, nine were literature reviews, twenty-six were editorial, one was a newspaper article and fourteen were grey literature. Instant Messaging (40%, n = 23), image sharing (41%, n = 24), and video conferencing (19%, n = 11) were functions most popular with clinicians. WhatsApp, generic instant messaging, Facebook messenger, ZOOM, and Skype are evidenced as channels for communication between clinicians within the EU. A sizeable proportion of the publications (38%; n = 25) failed to identify or adequately address technical security concerns and requirements around privacy and data protection.
CONCLUSIONS
Clinicians use smartphones /Apps to communicate clinical information with each other. The security and privacy issues arising from their communication of sensitive data is absent or only superficially acknowledged within the literature.
CLINICAL SIGNIFICANCE
Clinician's need clearer guidance on the use of smartphone technology for clinical communications.
Topics: Communication; Computer Security; Humans; Privacy; Smartphone; Technology
PubMed: 35413411
DOI: 10.1016/j.jdent.2022.104112 -
Journal of Medical Internet Research Jul 2021Functionalities of personal health record (PHR) are evolving, and continued discussions about PHR functionalities need to be performed to keep it up-to-date.... (Review)
Review
BACKGROUND
Functionalities of personal health record (PHR) are evolving, and continued discussions about PHR functionalities need to be performed to keep it up-to-date. Technological issues such as nonfunctional requirements should also be discussed in the implementation of PHR.
OBJECTIVE
This study systematically reviewed the main functionalities and issues in implementing the PHR.
METHODS
This systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search is performed using the online databases Scopus, ScienceDirect, IEEE, MEDLINE, CINAHL, and PubMed for English journal articles and conference proceedings published between 2015 and 2020.
RESULTS
A total of 105 articles were selected in the review. Seven function categories were identified in this review, which is grouped into basic and advanced functions. Health records and administrative records were grouped into basic functions. Medication management, communication, appointment management, education, and self-health monitoring were grouped into advanced functions. The issues found in this study include interoperability, security and privacy, usability, data quality, and personalization.
CONCLUSIONS
In addition to PHR basic and advanced functions, other supporting functionalities may also need to be developed based on the issues identified in this study. This paper provides an integrated PHR architectural model that describes the functional requirements and data sources of PHRs.
Topics: Health Records, Personal; Humans; Information Storage and Retrieval; Medical Records Systems, Computerized; Technology
PubMed: 34287210
DOI: 10.2196/26236 -
Annals of Internal Medicine Jan 2024Severe maternal morbidity and mortality are worse in the United States than in all similar countries, with the greatest effect on Black women. Emerging research suggests... (Review)
Review
BACKGROUND
Severe maternal morbidity and mortality are worse in the United States than in all similar countries, with the greatest effect on Black women. Emerging research suggests that disrespectful care during childbirth contributes to this problem.
PURPOSE
To conduct a systematic review on definitions and valid measurements of respectful maternity care (RMC), its effectiveness for improving maternal and infant health outcomes for those who are pregnant and postpartum, and strategies for implementation.
DATA SOURCES
Systematic searches of Ovid Medline, CINAHL, Embase, Cochrane Central Register of Controlled Trials, PsycInfo, and SocINDEX for English-language studies (inception to July 2023).
STUDY SELECTION
Randomized controlled trials and nonrandomized studies of interventions of RMC versus usual care for effectiveness studies; additional qualitative and noncomparative validation studies for definitions and measurement studies.
DATA EXTRACTION
Dual data abstraction and quality assessment using established methods, with resolution of disagreements through consensus.
DATA SYNTHESIS
Thirty-seven studies were included across all questions, of which 1 provided insufficient evidence on the effectiveness of RMC to improve maternal outcomes and none studied RMC to improve infant outcomes. To define RMC, authors identified 12 RMC frameworks, from which 2 main concepts were identified: and frameworks. Disrespect and abuse components focused on recognizing birth mistreatment; rights-based frameworks incorporated aspects of reproductive justice, human rights, and antiracism. Five overlapping framework themes include freedom from abuse, consent, privacy, dignity, communication, safety, and justice. Twelve tools to measure RMC were validated in 24 studies on content validity, construct validity, and internal consistency, but lack of a gold standard limited evaluation of criterion validity. Three tools specific for RMC had at least 1 study demonstrating consistency internally and with an intended construct relevant to U.S. settings, but no single tool stands out as the best measure of RMC.
LIMITATIONS
No studies evaluated other health outcomes or RMC implementation strategies. The lack of definition and gold standard limit evaluation of RMC tools.
CONCLUSION
Frameworks for RMC are well described but vary in their definitions. Tools to measure RMC demonstrate consistency but lack a gold standard, requiring further evaluation before implementation in U.S. settings. Evidence is lacking on the effectiveness of implementing RMC to improve any maternal or infant health outcome.
PRIMARY FUNDING SOURCE
Agency for Healthcare Research and Quality. (PROSPERO: CRD42023394769).
Topics: Infant; Pregnancy; Female; Humans; Maternal Health Services; Respect; Obstetrics; Delivery, Obstetric; Postpartum Period; Quality of Health Care
PubMed: 38163377
DOI: 10.7326/M23-2676 -
Yearbook of Medical Informatics Aug 2018To summarize the recent literature and research and present a selection of the best papers published in 2017 in the field of Health Information Management (HIM) and... (Review)
Review
OBJECTIVE
To summarize the recent literature and research and present a selection of the best papers published in 2017 in the field of Health Information Management (HIM) and Health Informatics.
METHODS
A systematic review of the literature was performed by the two HIM section editors of the International Medical Informatics Association (IMIA) Yearbook with the help of a medical librarian. We searched bibliographic databases for HIM-related papers using both MeSH descriptors and keywords in titles and abstracts. A shortlist of 15 candidate best papers was first selected by section editors before being peer-reviewed by independent external reviewers.
RESULTS
Health Information Exchange was a major theme within candidate best papers. The four papers ultimately selected as 'Best Papers' represent themes that include health information exchange, governance and policy issues, results of health information exchange, and methods of integrating information from multiple sources. Other articles within the candidate best papers include these themes as well as those focusing on authentication and de-identification and usability of information systems.
CONCLUSIONS
The papers discussed in the HIM section of IMIA Yearbook reflect the overall theme of the 2018 edition of the Yearbook, i.e., the tension between privacy and access to information. While most of the papers focused on health information exchange, which reflects the "access" side of the equation, most of the others addressed privacy issues. This synopsis discusses these key issues at the intersection of HIM and informatics.
Topics: Confidentiality; Data Anonymization; Health Information Exchange; Health Information Management; Health Policy; Health Records, Personal; Humans
PubMed: 30157507
DOI: 10.1055/s-0038-1667072 -
BMJ Open Nov 2023To assess the current evidence on the potential of digital health interventions (DHIs) to improve adherence to oral antipsychotics among patients with schizophrenia by... (Review)
Review
OBJECTIVES
To assess the current evidence on the potential of digital health interventions (DHIs) to improve adherence to oral antipsychotics among patients with schizophrenia by assessing the methodologies, feasibility and effectiveness of DHIs as well as the perceptions of relevant stakeholders.
DESIGN
The scoping review was conducted based on the methodologies outlined by Levac and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines.
DATA SOURCES
PubMed, Embase, Web of Science, Scopus, CINAHL, PsycINFO and the Cochrane Library were searched in August 2023 to identify relevant publications from the previous decade.
ELIGIBILITY CRITERIA
Studies published in English focused on improving medication adherence among adult patients with schizophrenia or schizoaffective disorder via DHIs were selected. Protocols, editorials, comments, perspectives, reviews, correspondence and conference abstracts were excluded.
DATA EXTRACTION AND SYNTHESIS
The extracted data included general information about the study, framework, participants, features and strategies of DHIs, measurement tools for adherence used, and main findings.
RESULTS
In total, 64 studies were included in the qualitative synthesis. Features used in DHIs to improve medication adherence included phone calls, text messages, mobile apps, sensors, web-based platforms and electronic devices. Strategies included medication reminders and monitoring, providing medication-related information and suggestions, other illness management suggestions and individual support. Texting and mobile apps were commonly used as medication reminders and monitoring methods. Additionally, the use of sensors combined with other digital technologies has garnered significant attention. All the interventions were considered acceptable and feasible, and several were assessed in pilot trials. Preliminary findings suggest that DHIs could enhance medication adherence in patients with schizophrenia. However, further validation of their effectiveness is required.
CONCLUSION
DHIs are a promising approach to enhancing medication adherence among patients with schizophrenia. Future interventions should be interactive, focusing on user preference, experience and privacy.
Topics: Adult; Humans; Antipsychotic Agents; Schizophrenia; Text Messaging; Psychotic Disorders; Medication Adherence
PubMed: 37977861
DOI: 10.1136/bmjopen-2023-071984 -
PloS One 2018Concerns about genetic privacy affect individuals' willingness to accept genetic testing in clinical care and to participate in genomics research. To learn what is...
Concerns about genetic privacy affect individuals' willingness to accept genetic testing in clinical care and to participate in genomics research. To learn what is already known about these views, we conducted a systematic review, which ultimately analyzed 53 studies involving the perspectives of 47,974 participants on real or hypothetical privacy issues related to human genetic data. Bibliographic databases included MEDLINE, Web of Knowledge, and Sociological Abstracts. Three investigators independently screened studies against predetermined criteria and assessed risk of bias. The picture of genetic privacy that emerges from this systematic literature review is complex and riddled with gaps. When asked specifically "are you worried about genetic privacy," the general public, patients, and professionals frequently said yes. In many cases, however, that question was posed poorly or only in the most general terms. While many participants expressed concern that genomic and medical information would be revealed to others, respondents frequently seemed to conflate privacy, confidentiality, control, and security. People varied widely in how much control they wanted over the use of data. They were more concerned about use by employers, insurers, and the government than they were about researchers and commercial entities. In addition, people are often willing to give up some privacy to obtain other goods. Importantly, little attention was paid to understanding the factors-sociocultural, relational, and media-that influence people's opinions and decisions. Future investigations should explore in greater depth which concerns about genetic privacy are most salient to people and the social forces and contexts that influence those perceptions. It is also critical to identify the social practices that will make the collection and use of these data more trustworthy for participants as well as to identify the circumstances that lead people to set aside worries and decide to participate in research.
Topics: Genetic Privacy; Health Knowledge, Attitudes, Practice; Humans; United States
PubMed: 30379944
DOI: 10.1371/journal.pone.0204417