Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study.

BACKGROUND: The increased use of wearable sensor technology has highlighted the potential for remote telehealth services such as rehabilitation. Telehealth services incorporating wearable sensors are most likely to appeal to the older adult population in remote and rural areas, who may struggle with long commutes to clinics. However, the usability of such systems often discourages patients from adopting these services. OBJECTIVE: This study aimed to understand the usability factors that most influence whether an older adult will decide to continue using a wearable device. METHODS: Older adults across 4 different regions (Northern Ireland, Ireland, Sweden, and Finland) wore an activity tracker for 7 days under a free-living environment protocol. In total, 4 surveys were administered, and biometrics were measured by the researchers before the trial began. At the end of the trial period, the researchers administered 2 further surveys to gain insights into the perceived usability of the wearable device. These were the standardized System Usability Scale (SUS) and a custom usability questionnaire designed by the research team. Statistical analyses were performed to identify the key factors that affect participants' intention to continue using the wearable device in the future. Machine learning classifiers were used to provide an early prediction of the intention to continue using the wearable device. RESULTS: The study was conducted with older adult volunteers (N=65; mean age 70.52, SD 5.65 years) wearing a Xiaomi Mi Band 3 activity tracker for 7 days in a free-living environment. The results from the SUS survey showed no notable difference in perceived system usability regardless of region, sex, or age, eliminating the notion that usability perception differs based on geographical location, sex, or deviation in participants' age. There was also no statistically significant difference in SUS score between participants who had previously owned a wearable device and those who wore 1 or 2 devices during the trial. The bespoke usability questionnaire determined that the 2 most important factors that influenced an intention to continue device use in an older adult cohort were device comfort (τ=0.34) and whether the device was fit for purpose (τ=0.34). A computational model providing an early identifier of intention to continue device use was developed using these 2 features. Random forest classifiers were shown to provide the highest predictive performance (80% accuracy). After including the top 8 ranked questions from the bespoke questionnaire as features of our model, the accuracy increased to 88%. CONCLUSIONS: This study concludes that comfort and accuracy are the 2 main influencing factors in sustaining wearable device use. This study suggests that the reported factors influencing usability are transferable to other wearable sensor systems. Future work will aim to test this hypothesis using the same methodology on a cohort using other wearable technologies.

Dysregulation of Connexin Expression Plays a Pivotal Role in Psoriasis.

BACKGROUND: Psoriasis, a chronic inflammatory disease affecting 2-3% of the population, is characterised by epidermal hyperplasia, a sustained pro-inflammatory immune response and is primarily a T-cell driven disease. Previous work determined that Connexin26 is upregulated in psoriatic tissue. This study extends these findings. METHODS: Biopsies spanning psoriatic plaque (PP) and non-involved tissue (PN) were compared to normal controls (NN). RNA was isolated and subject to real-time PCR to determine gene expression profiles, including GJB2/CX26, GJB6/CX30 and GJA1/CX43. Protein expression was assessed by immunohistochemistry. Keratinocytes and fibroblasts were isolated and used in 3D organotypic models. The pro-inflammatory status of fibroblasts and 3D cultures was assessed via ELISA and RnD cytokine arrays in the presence or absence of the connexin channel blocker Gap27. RESULTS: Connexin26 expression is dramatically enhanced at both transcriptional and translational level in PP and PN tissue compared to NN (>100x). In contrast, CX43 gene expression is not affected, but the protein is post-translationally modified and accumulates in psoriatic tissue. Fibroblasts isolated from psoriatic patients had a higher inflammatory index than normal fibroblasts and drove normal keratinocytes to adopt a "psoriatic phenotype" in a 3D-organotypic model. Exposure of normal fibroblasts to the pro-inflammatory mediator peptidoglycan, isolated from Staphylococcus aureus enhanced cytokine release, an event protected by Gap27. CONCLUSION: dysregulation of the connexin26:43 expression profile in psoriatic tissue contributes to an imbalance of cellular events. Inhibition of connexin signalling reduces pro-inflammatory events and may hold therapeutic benefit.

A Culinary Medicine Elective for Clinically Experienced Medical Students: A Pilot Study.

Purpose: Culinary medicine, a combination of nutrition science and the culinary arts, is an emerging approach for teaching nutrition to medical students and improving their competence in counseling patients with diet-associated diseases. Data are, however, lacking on the impact of culinary medicine courses directed at clinically experienced students. This study reports initial outcomes of a pilot nutrition and culinary medicine course targeting 4th-year medical students. Methods: An elective course on culinary medicine was offered to 4th-year medical students at the Perelman School of Medicine, comprising seven disease-focused sessions, with a final capstone session. Students read primary literature for each session. Individual sessions consisted of culinary literacy, cooking, and a case discussion led by physicians and registered dietitians. In addition, students participated in a nutrition education initiative in a local high school. Students completed pre-and postcourse surveys that evaluated perceived nutrition knowledge and counseling skills and personal dietary choices, and included free-text options for qualitative comments. Results: Thirty-one 4th-year medical students participated in three offerings of the course in 2018 and 2019. There was strong student enthusiasm for the course as (1) all the available slots for each course offering were filled within 2 h of an e-mail announcement to the students; (2) student attendance was consistently very high; and (3) student feedback about the course was uniformly positive. Students reported significant increases in their confidence regarding (1) knowledge of pertinent nutrition information; (2) discussing nutrition with patients; and (3) ability to impact patient behavior through counseling (p < 0.001). Qualitative comments suggested that students were contemplating or implementing changes in their dietary habits and food choices. Conclusion: A culinary medicine course for clinically experienced medical students may improve perceived nutrition knowledge and increases confidence in counseling patients with diet-associated diseases.

Point of care documentation impact on the nurse-patient interaction.

Electronic medical record (EMR) point-of-care (POC) documentation in patients' rooms is a recent shift in technology use in hospitals. POC documentation reduces inefficiencies, decreases the probability of errors, promotes information transfer, and encourages the nurse to be at the bedside. However, EMR POC documentation has the potential to distract the nurse's attention away from the patient and compromise the nurse-patient interaction.

Predicting instrument detection efficiency when scanning point and small area radiation sources.

Accurate quantification of radionuclides detected during a scanning survey relies on an appropriately determined scan efficiency calibration factor (SECF). Traditionally, instrument efficiency is determined with a stationary instrument and a fixed source geometry. However, as is often the case, the instrument is used in a scanning mode where the source to instrument geometry is dynamic during the observation interval. Procedures were developed to determine the SECF for a point source ("hot particle") and a 10 x 10 cm source passing under the centerline of a 12.7 x 7.62 cm NaI(Tl) detector. The procedures were first tested to determine the SECF from a series of static point source measurements using Monte Carlo N-Particle code. These point static efficiency values were then used to predict the SECF for scan speeds ranging from 10 cm s(-1) to 80 cm s(-1) with a simulated instrument set to collect integrated counts for 1 s. The Monte Carlo N-Particle code was then used to directly determine the SECF by simulating a scan of a point source and 10 x 10 cm area source for scan speeds ranging from 10 cm s(-1) to 80 cm s(-1). Comparison with Monte Carlo N-Particle scan simulation showed the accuracy of the SECF prediction procedures to be within +/-5% for both point and area sources. Experimental results further showed the procedures developed to predict the actual SECF for a point and 10 x 10 cm source to be accurate to within +/-10%. Besides the obvious application to determine an SECF for a given scan speed, this method can be used to determine the maximum detector or source velocity for a desired minimum detectable activity. These procedures are effective and can likely be extended to determine an instrument specific SECF for a range of source sizes, scan speeds, and instrument observation intervals.