BYOD

This study aims to investigate the impact of using synchronized computer-mediated communication (SCMC) in a face-to-face (FTF) classroom on reducing foreign language anxiety (FLA) and enhancing the learning experience. Fifty Chinese college students participated in a learning activity under three modes: normal FTF classroom (the blank sample), pure SCMC, and hybrid SCMC (BYOD). Smartphones, PCs, open internet, and the bring-your-own-device (BYOD) concept were used for SCMC applications. After completing the learning activity, the students completed Foreign Language Classroom Anxiety Scale (FLCAS) questionnaires...

BACKGROUND: By eliminating the requirement for participants to make frequent visits to research sites, mobile phone applications ("apps") may help to decentralize clinical trials. Apps may also be an effective mechanism for capturing patient-reported outcomes and other endpoints, helping to optimize patient care during and outside of clinical trials. OBJECTIVES: We report on the usability of Digital BioMarkers for Clinical Impact (DigiBioMarC™ (DBM)), a novel smartphone-based app used by cancer patients in conjunction with a wearable device (Apple Watch®)...

OBJECTIVE: The popularity of the ​"bring your own device (BYOD)" ​concept has grown in recent years, and its application has extended to the healthcare field. This study was aimed at examining nurses' acceptance of a BYOD-supported system after a 9-month implementation period. METHODS: We used the technology acceptance model to develop and validate a structured questionnaire as a research tool. All nurses ( n  ​= ​18) responsible for the BYOD-supported wards during the study period were included in our study...

Background and Objectives : Outcome data from wearable devices are increasingly used in both research and clinics. Traditionally, a dedicated device is chosen for a given study or clinical application to collect outcome data as soon as the patient is included in a study or undergoes a procedure. The current study introduces a new measurement strategy, whereby patients' own devices are utilized, allowing for both a pre-injury baseline measure and ability to show achievable results. Materials and Methods : Patients with a pre-existing musculoskeletal injury of the upper and lower extremity were included in this exploratory, proof-of-concept study...

Although mobile devices support physicians in a variety of ways in everyday clinical practice, the use of (personal) mobile devices poses potential risks for information security, data protection, and patient safety in hospitals. We used a cross-sectional survey-based study design to assess the current state of smartphone use among resident physicians in hospitals and to investigate the relationships between working conditions, current smartphone usage patterns, and security-related behavior. In total, data from 343 participating physicians could be analyzed...

The National Institutes of Health's (NIH) All of Us Research Program aims to enroll at least one million US participants from diverse backgrounds; collect electronic health record (EHR) data, survey data, physical measurements, biospecimens for genomics and other assays, and digital health data; and create a researcher database and tools to enable precision medicine research [1]. Since inception, digital health technologies (DHT) have been envisioned as essential to achieving the goals of the program [2]. A "bring your own device" (BYOD) study for collecting Fitbit data from participants' devices was developed with integration of additional DHTs planned in the future [3]...

Combining pre-oxidation with activated carbon adsorption was explored as an ideal approach for removing iodine from water source to eliminate the formation of Iodinated trihalomethanes (I-THMs). Compared with permanganate and monochloramine, chlorine is more suitable as pre-oxidant to obtain higher active iodine species (HOI/I2 ). Active iodine species adsorption using both powdered activated carbon (PAC) and granular activated carbon (GAC) can be well fitted the pseudo-second-order kinetic model indicating that chemical adsorption was the dominant mechanism for HOI/I2 adsorption...

OBJECTIVE: To quantitatively compare equivalence and compliance of patient-reported outcome (PRO) data collected via provisioned device (PD) versus bring your own device (BYOD). METHODS: Participants with stable chronic obstructive pulmonary disease (COPD) completed the EXAcerbations of Chronic Pulmonary Disease Tool (EXACT® ) daily and COPD Assessment Test™ (CAT) and Patient Global Impression of Severity (PGIS) of COPD weekly on either PD or BYOD for 15 days, then switched device types for 15 days...

Studies using remote cognitive testing must make a critical decision: whether to allow participants to use their own devices or to provide participants with a study-specific device. Bring-your-own-device (BYOD) studies have several advantages including increased accessibility, potential for larger sample sizes, and reduced participant burden. However, BYOD studies offer little control over device performance characteristics that could potentially influence results. In particular, response times measured by each device not only include the participant's true response time, but also latencies of the device itself...

Background: Digital 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...

OBJECTIVE: Healthcare professionals are known to use their personal devices extensively for work purposes (Bring-Your-Own-Device). However, it is also a source of major concern for healthcare organisations, given the heavy reliance of patient data privacy on clinician's usage behaviour and higher risk of data breaches. Previous research into hospital BYOD security has been scarce and fragmented. Therefore, the aim of this paper is to understand the preferences, behaviour, and knowledge of Australian hospital clinical staff with respect to BYOD security through a survey...

BACKGROUND: There is interest in participants using their own smartphones or tablets ("bring your own device"; BYOD) to complete patient-reported outcome (PRO) measures in clinical studies. Our study aimed to qualitatively evaluate participants' experience using a provisioned device (PD) versus their own smartphone (BYOD) for this purpose. METHODS: Participants with chronic obstructive pulmonary disease (COPD) were recruited for this observational, cross-over study and completed PRO measures daily on one device type for 15 days, then switched to the other device type to complete the same measures for another 15 days...

BACKGROUND: The use of digital technology to assess patients remotely can reduce clinical study costs. In the European Union, the 2D matrix code on prescription drug packaging serves as a unique identifier of a given package of medication, and thus, also of the patient receiving that medication. Scanning of the 2D matrix code may therefore allow remote patient authentication in clinical studies. OBJECTIVE: The aim of the DePRO study was to assess the feasibility of a fully digital data-capture workflow, the authentication of participants via drug packaging 2D matrix codes, in patients with type 2 diabetes mellitus (T2DM) who use metformin...

Bring-your-own-device (BYOD) methods for collecting patient-reported outcome (PRO) data in clinical trials can decrease patient burden and improve data quality. However, adoption of BYOD in clinical trials is limited by the absence of publicly available case studies where BYOD PRO data supported regulatory medical product approvals. Anecdotally, we are aware of multiple examples where efficacy and safety label claims were based on BYOD PRO data; however-except for one-these examples have not been made public...

To investigate the feasibility of utilizing electronically provided patient-reported outcomes(ePRO)to detect adverse events, we conducted a single-center prospective study targeting patients with advanced cancers who were receiving chemotherapy at our outpatient clinic. Participants were asked to respond to 71 relevant items from the PRO-CTCAE once a week for 8 consecutive weeks. An outpatient nurse evaluated the corresponding items on the CTCAE. Forty of 85 outpatients were enrolled. Thirty-four patients were excluded because of Bring Your Own Device(BYOD)restrictions and 11 were excluded for other reasons, including poor physical conditions...

BACKGROUND: Ophthalmic examinations are mostly documented using sketches and written descriptions. Improvements in app security and IT infrastructure mean that high-quality anterior segment photographs can be routinely collected with smartphones alone. The lid oncology team relied on pre-operative formal slit-lamp imaging in the one-stop biopsy clinic, a lengthy process with capacity limitations, that risked delays to care. METHODS: A Bring Your Own Device (BYOD) photography service was developed through a series of iterations and collaborations...

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 is 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 on a larger number of participants than cohort design 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...

BACKGROUND: Scrolling is a perceived barrier in the use of bring your own device (BYOD) to capture electronic patient reported outcomes (ePROs). This study explored the impact of scrolling on the measurement equivalence of electronic patient-reported outcome measures (ePROMs) in the presence and absence of scrolling. METHODS: Adult participants with a chronic condition involving daily pain completed ePROMs on four devices with different scrolling properties: a large provisioned device not requiring scrolling; two provisioned devices requiring scrolling - one with a "smart-scrolling" feature that disabled the "next" button until all information was viewed, and a second without this feature; and BYOD with smart-scrolling...

The adoption of Bring Your Own Device (BYOD), initiated by employees, refers to the provision and use of personal mobile devices and applications for both private and business purposes. This bottom-up phenomenon, not initiated by managers, corresponds to a reversed IT adoption logic that simultaneously entails business opportunities and threats. Managers are thus confronted with this unchosen BYOD usage by employees and consequently adopt different coping strategies. This research aims to investigate the adaptation strategies embraced by managers to cope with the BYOD phenomenon...

BACKGROUND: As 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...