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Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.

ABSTRACT: Digital health technologies, such as smartphones and wearable devices, promise to revolutionize disease prevention, detection, and treatment. Recently, there has been a surge of digital health studies where data are collected through a bring-your-own-device (BYOD) approach, in which participants who already own a specific technology may voluntarily sign up for the study and provide their digital health data. BYOD study design accelerates the collection of data from a larger number of participants than cohort design; this is possible because researchers are not limited in the study population size based on the number of devices afforded by their budget or the number of people familiar with the technology. However, the BYOD study design may not support the collection of data from a representative random sample of the target population where digital health technologies are intended to be deployed. This may result in biased study results and biased downstream technology development, as has occurred in other fields. In this viewpoint paper, we describe demographic imbalances discovered in existing BYOD studies, including our own, and we propose the Demographic Improvement Guideline to address these imbalances.

SUBMITTER: Cho PJ

PROVIDER: S-EPMC9034431 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.

Cho Peter Jaeho PJ Yi Jaehan J Ho Ethan E Shandhi Md Mobashir Hasan MMH Dinh Yen Y Patil Aneesh A Martin Leatrice L Singh Geetika G Bent Brinnae B Ginsburg Geoffrey G Smuck Matthew M Woods Christopher C Shaw Ryan R Dunn Jessilyn J

JMIR mHealth and uHealth 20220408 4

Digital health technologies, such as smartphones and wearable devices, promise to revolutionize disease prevention, detection, and treatment. Recently, there has been a surge of digital health studies where data are collected through a bring-your-own-device (BYOD) approach, in which participants who already own a specific technology may voluntarily sign up for the study and provide their digital health data. BYOD study design accelerates the collection of data from a larger number of participant ...[more]

PMID: 34913871

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Project description:BackgroundDigital health technologies are attracting attention as novel tools for data collection in clinical research. They present alternative methods compared to in-clinic data collection, which often yields snapshots of the participants' physiology, behavior, and function that may be prone to biases and artifacts, e.g., white coat hypertension, and not representative of the data in free-living conditions. Modern digital health technologies equipped with multi-modal sensors combine different data streams to derive comprehensive endpoints that are important to study participants and are clinically meaningful. Used for data collection in clinical trials, they can be deployed as provisioned products where technology is given at study start or in a bring your own "device" (BYOD) manner where participants use their technologies to generate study data.SummaryThe BYOD option has the potential to be more user-friendly, allowing participants to use technologies that they are familiar with, ensuring better participant compliance, and potentially reducing the bias that comes with introducing new technologies. However, this approach presents different technical, operational, regulatory, and ethical challenges to study teams. For example, BYOD data can be more heterogeneous, and recruiting historically underrepresented populations with limited access to technology and the internet can be challenging. Despite the rapid increase in digital health technologies for clinical and healthcare research, BYOD use in clinical trials is limited, and regulatory guidance is still evolving.Key messagesWe offer considerations for academic researchers, drug developers, and patient advocacy organizations on the design and deployment of BYOD models in clinical research. These considerations address: (1) early identification and engagement with internal and external stakeholders; (2) study design including informed consent and recruitment strategies; (3) outcome, endpoint, and technology selection; (4) data management including compliance and data monitoring; (5) statistical considerations to meet regulatory requirements. We believe that this article acts as a primer, providing insights into study design and operational requirements to ensure the successful implementation of BYOD clinical studies.

Project description:BackgroundAs familiarity with and convenience of using personal devices in hospitals help improve the productivity, efficiency, and workflow of hospital staff, the health care bring-your-own-device (BYOD) market is growing consistently. However, security concerns owing to the lack of control over the personal mobile devices of staff, which may contain sensitive data such as personal health information of patients, make it one of the biggest health care information technology (IT) challenges for hospital administrations.ObjectiveGiven that the hospital BYOD security has not been adequately addressed in peer-reviewed literature, the aim of this paper was to identify key security challenges associated with hospital BYOD usage as well as relevant solutions that can cater to the identified issues by reviewing gray literature. Therefore, this research will provide additional practical insights from current BYOD practices.MethodsA comprehensive gray literature review was conducted, which followed the stepwise guidelines and quality assessment criteria set out by Garousi et al. The searched literature included tier 1 sources such as health care cybersecurity market reports, white papers, guidelines, policies, and frameworks as well as tier 2 sources such as credible and reputed health IT magazines, databases, and news articles. Moreover, a deductive thematic analysis was conducted to organize the findings based on Schlarman's People Policy Technology model, promoting a holistic understanding of hospitals' BYOD security issues and solutions.ResultsA total of 51 sources were found to match the designed eligibility criteria. From these studies, several sociotechnical issues were identified. The major challenges identified were the use of devices with insufficient security controls by hospital staff, lack of control or visibility for the management to maintain security requirements, lack of awareness among hospital staff, lack of direction or guidance for BYOD usage, poor user experience, maintenance of legal requirements, shortage of cybersecurity skills, and loss of devices. Although technologies such as mobile device management, unified endpoint management, containerization, and virtual private network allow better BYOD security management in hospitals, policies and people management measures such as strong security culture and staff awareness and training improve staff commitment in protecting hospital data.ConclusionsThe findings suggest that to optimize BYOD security management in hospitals, all 3 dimensions of the security process (people, policy, and technology) need to be given equal emphasis. As the nature of cybersecurity attacks is becoming more complex, all dimensions should work in close alignment with each other. This means that with the modernization of BYOD technology, BYOD strategy, governance, education, and relevant policies and procedures also need to adapt accordingly.

Project description:ObjectiveTo describe the study design, and the distal and proximal influences on oral health reported in the national demographic and health survey (DHS) of the Kingdom of Saudi Arabia (KSA) in 2017.MethodsThe 2017 KSA DHS used an innovative multistage stratified random-sampling technique to select the population sample by using primary health care centers' (PHCs) catchment areas as the primary sampling unit. Over 45,000 household heads plus a family member were interviewed. A conceptual framework for distal and proximal oral health influences specific to the KSA was adapted based on the oral health surveillance model. Cross-tabulation and Chi-square tests were performed with consideration for sample weights to provide estimates representative for the KSA population. Frequencies and weighted percentages for each variable reflecting each construct were reported.ResultsThe total number of individuals included in the analysis was n = 55,511, ages ranging between 2 and > 65 years. Lack of dental care when needed was reported for 22.5 % of the population (males = 20.8 %/females = 24.7 %). Proportion of population from Central, West, East, South, and North regions who reported available dental care services when needed was 62.3 %, 58.0 %, 58.9 %, 62.3 %, and 60.1 %, respectively. PHCs were the most regular source for dental care (55.1 %). In total, 48.3 % visited the dentist at least once last year (males = 49.4 % /females = 46.8 %). Dental pain was the most common reason for last dental visit (69.0 %), while only 6.4 % reported visited the dentist for routine visit. Only 15.3 % reported brushing their teeth at least twice per day (males = 14.6 % /females = 16.4 %).ConclusionTwo major oral health influences previously reported to have a significant negative influence on oral health, namely, limited routine dental check-up visits and inadequate oral hygiene, were present among KSA residents. Further inferential study is needed to investigate such influence on oral health status within the KSA population.

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Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.

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Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.

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