Smartphone Group Research Articles

Less smartphone and more physical activity for a better work satisfaction, motivation, work-life balance, and mental health: An experimental intervention study

Employees' work satisfaction and mental health are crucial for an organization's productivity. The current experimental study on employees (Ntotal = 278) from different professional sectors and workplaces in Germany investigated how to improve both by changes of daily non-work-related smartphone use time and physical activity time. For one week, the smartphone group (N = 73) reduced its daily smartphone use by one hour, the physical activity group (N = 69) increased its daily physical activity by 30 minutes, the combination group (N = 72) followed both interventions, the control group (N = 64) did not change its behavior. Online surveys assessed work-related and mental health-related variables at three measurement time points (baseline; post-intervention; two-week follow-up). The reduction of smartphone use time and the combination of both interventions increased work satisfaction, work motivation, work-life balance, and positive mental health significantly; experience of work overload and problematic smartphone use significantly decreased. All interventions decreased depressive symptoms and enhanced sense of control significantly. Following the present findings, a conscious and controlled reduction of non-work-related smartphone use time and its combination with more physical activity could improve employees' work satisfaction and mental health in the organizational context either as an addition to established training programs or as a separate time- and cost-efficient low threshold program.

Penerapan Algoritma K-Means Clustering Dalam Mengelompokkan Smartphone Yang Rekomendasi Berdasarkan Spesifikasi

Various types of smartphones come with different prices and specifications, causing sellers to sometimes struggle with providing recommendations to consumers who want to buy a smartphone that meets their desired specifications and price range. This challenge arises because it is difficult for sellers to remember the specifications of each smartphone for sale. K-Means Clustering aims to group existing specification data into several clusters, where the data in each cluster share similar characteristics. By forming these smartphone groups, it becomes easier for sellers to recommend appropriate smartphones to customers. The research results show that various smartphone brands are categorized into three groups: the Recommended Group, which includes 225 items; the Most Recommended Group, which includes 98 items; and the Less Recommended Group, which includes 27 items. This clustering is expected to help sellers easily increase the stock of recommended smartphones according to consumer needs in terms of price and specifications.

Application test for betterment in the self-care of diabetic patients: a study in virtual messages under the NPT perspective

With the increase in chronic diseases that can be linked to bad habits, communication technologies improve the quality of life and health status of patients. We sought to understand how a digital TV application and Smartphones can improve care for e-Health intervention patients through persuasive content, increasing health literacy levels in people with diabetes through elements of the Normalization Process Theory (NPT). An experimental exploratory study was carried out, through quantitative and qualitative research, in three groups of patients with diabetes (28 in total - 10 in the Control Group, 9 in the Smartphone Group and 9 in the Digital TV Group), in Poços de Caldas, MG, Brazil, including 7 health professionals (4 dentists and 3 nurses) who deal with these patients in the municipality. The application was accepted in both groups by users and professionals, all the while showing a tendency of increasing the literacy and persuasion among the users. From the NPT perspective, the issues of implementing a complex intervention, its incorporation and optimization of systems showed themselves efficient for the betterment of self-care through the use of technology. It was noticed that the users' self-management of the disease and behavior improved; however, it was pointed out that the help and participation of healthcare professionals in needed for better credibility, persuasion, effectiveness and efficacy of the messages. It should be noted that they are content adjustments to improve literacy indicators.

A microscope in your pocket: can smartphones be used to perform microsurgery?

To evaluate the use of the latest generation smartphone camera in performing arterial microanastomosis in rats. Ten Wistar rats were divided into 2 groups and underwent anastomosis of the right carotid artery with the aid of magnification from a microscope (group M) and a smartphone camera (group S), to compare patency in 72 hours, as well as to measure the weight of the animals, diameter of the carotid arteries and anastomosis time. There was no statistical difference between the weight of the animals or the diameter of the carotid arteries. There was a statistical difference for the time spent on anastomoses, which was greater in group S, with higher rates of thrombosis (p < 0.05). Although our patency and anastomosis time results were statistically lower in the smartphone group, there was success in some cases. As the segment continues to progress, it is likely that the results will improve in line with the evolution of camera technology.

Learning academic vocabulary with digital flashcards: Comparing the outcomes from computers and smartphones

This study systematically evaluates the comparative efficacy of digital flashcards on mobile and computer platforms versus traditional paper-based flashcards in augmenting academic vocabulary knowledge development among Iranian undergraduate university students. A randomized controlled trial was conducted with 112 subjects, allocated into three distinct groups: one utilizing digital flashcards via smartphones, another via laptops, and a control group employing paper-based flashcards. Over a five-week period, these participants were exposed to 50 frequently used academic vocabulary items in a self-directed learning mode. Academic vocabulary knowledge of the study participants was assessed pre- and post-intervention, employing an Analysis of Variance (ANOVA) for statistical evaluation of the test scores. The results demonstrated statistically significant learning gains in vocabulary knowledge across all groups, with the smartphone group showing the most pronounced improvements. The performance of this group notably surpassed that of the laptop group and the control group, underscoring the superior efficacy of mobile devices in facilitating academic vocabulary learning. These findings illuminate the potential of mobile-assisted language learning tools in academic settings and suggest a differential impact of device type on vocabulary acquisition. The broader implications of these outcomes for the design and implementation of technology-enhanced language learning strategies are discussed.

The effects of an individualized smartphone-based exercise program on self-defined motor tasks in Parkinson’s disease: a long-term feasibility study

BackgroundExercise therapy is considered effective for the treatment of motor impairment in patients with Parkinson’s disease (PD). During the COVID-19 pandemic, training sessions were cancelled and the implementation of telerehabilitation concepts became a promising solution. The aim of this controlled interventional feasibility study was to evaluate the long-term acceptance and to explore initial effectiveness of a digital, home-based, high-frequency exercise program for PD patients. Training effects were assessed using patient-reported outcome measures combined with sensor-based and clinical scores.Methods16 PD patients (smartphone group, SG) completed a home-based, individualized training program over 6–8 months using a smartphone app, remotely supervised by a therapist, and tailored to the patient’s motor impairments and capacity. A control group (CG, n = 16) received medical treatment without participating in digital exercise training. The usability of the app was validated using System Usability Scale (SUS) and User Version of the Mobile Application Rating Scale (uMARS). Outcome measures included among others Unified Parkinson Disease Rating Scale, part III (UPDRS-III), sensor-based gait parameters derived from standardized gait tests, Parkinson’s Disease Questionnaire (PDQ-39), and patient-defined motor activities of daily life (M-ADL).ResultsExercise frequency of 74.5% demonstrated high adherence in this cohort. The application obtained 84% in SUS and more than 3.5/5 points in each subcategory of uMARS, indicating excellent usability. The individually assessed additional benefit showed at least 6 out of 10 points (Mean = 8.2 ± 1.3). From a clinical perspective, patient-defined M-ADL improved for 10 out of 16 patients by 15.5% after the training period. The results of the UPDRS-III remained stable in the SG while worsening in the CG by 3.1 points (24%). The PDQ-39 score worsened over 6–8 months by 83% (SG) and 59% (CG) but the subsection mobility showed a smaller decline in the SG (3%) compared to the CG (77%) without reaching significance level for all outcomes. Sensor-based gait parameters remained constant in both groups.ConclusionsLong-term training over 6–8 months with the app is considered feasible and acceptable, representing a cost-effective, individualized approach to complement dopaminergic treatment. This study indicates that personalized, digital, high-frequency training leads to benefits in motor sections of ADL and Quality of Life.

Chatbot-assisted therapy for patients with methamphetamine use disorder: a preliminary randomized controlled trial.

Methamphetamine (MA) use disorder is associated with a large public health burden. Despite the therapeutic effects of psychosocial interventions based on current evidence, finding an approach to retain patients in treatment remains a real-world challenge. The rapid development of mobile health (mHealth) systems suggests the potential to provide real-time personalized care at any time and from any location, minimize barriers to treatment, maximize use, and promote the dissemination of accessible therapeutic tools in at-risk populations. Our study aimed to investigate the feasibility and effectiveness of chatbots for the treatment of MA use disorder. The inclusion criteria were (a) a diagnosis of MA use disorder as defined by the DSM-5, (b) age between 18 and 65 years, (c) no acute exacerbation of severe mental illness during the initial assessment, such as schizophrenia or bipolar I disorder, (d) willingness to participate in standard outpatient treatment for ≥ 6 months, and (e) an Android phone. Participants were randomly allocated to either a chatbot-assisted therapy via smartphone (CAT) group or a control group following simple randomization procedures (computerized random numbers) without blinding. All participants were followed up for 6 months. Treatment retention and monthly urine test results were analyzed as outcome measures. Participants' satisfaction with CAT was also assessed. In total, 50 and 49 participants were allocated to the CAT and control groups, respectively. There were no significant differences in retention time between the two treatment groups (df = 1, p = 0.099). The CAT group had fewer MA-positive urine samples than the control group (19.5% vs. 29.6%, F = 9.116, p = 0.003). The proportion of MA-positive urine samples was positively correlated with the frequency of MA use (r = 0.323, p = 0.001), severity of MA use disorder (r = 0.364, p < 0.001), and polysubstance use (r = 0.212, p = 0.035), and negatively correlated with readiness to change (r = -0.330, p = 0.001). Totally 55 participants completed the study at the 6-month follow-up and 60% reported relative satisfaction. Participants in this study had favorable acceptance and generally positive outcomes, which indicates that chatbot is feasible for treating people who use MA.

Effect of Smartphone App Postoperative Home Monitoring After Oncologic Surgery on Quality of Recovery

There has been an increase in health care-focused smartphone apps, including those for encouraging healthy behaviors and managing chronic conditions, but app-assisted postsurgical care has yet to be fully explored. To compare quality of recovery and patient satisfaction between conventional in-person follow-up and smartphone app-assisted follow-up for patients following Enhanced Recovery After Surgery Society (ERAS) protocols. This randomized clinical trial, conducted from June 2019 to April 2021, included women older than 18 years undergoing oncologic breast reconstruction or major gynecologic oncology surgery following ERAS protocols with the care of 2 surgeons at an academic tertiary care center. Patients were randomized 1:1 to receive smartphone app-assisted follow-up or conventional in-person follow-up. The smartphone group used a surgeon-monitored app to record Quality of Recovery 15 (QoR15) scores, European Organisation for Research and Treatment of Cancer-selected adverse events, drain outputs, and surgical site photographs over 6 weeks. Patient satisfaction scores were assessed using validated Patient Satisfaction Questionnaire III (PSQ-III) subscales at 2 and 6 weeks postoperatively. The conventional follow-up group also completed the QoR15 and PSQ-III questionnaires at these intervals. The primary outcomes were quality of recovery and patient satisfaction, as measured by the QoR15 and PSQ-III, respectively. Secondary outcomes were costs of follow-up; the number of contacts with the medical system, complications, and surgeons' contacts with patients; and surgeons' perceptions of app-assisted care. Of 72 patients included in the trial, 36 underwent breast reconstruction (mean [SD] age, 45.30 [9.13] years) and 36 underwent gynecologic oncology surgery (mean [SD] age, 54.90 [11.18] years). Three patients dropped out (2 who underwent breast reconstruction [1 in the app group, 1 in the control group], 1 who underwent gynecologic oncology surgery [control group]). The app group had significantly higher mean (SD) QoR15 scores than the control group (2 weeks: 127.58 [22.03] vs 117.68 [17.52], P = .02; 6 weeks: 136.64 [17.53] vs 129.76 [16.42], P = .03). Patients were equally satisfied between groups in all subsets of the PSQ-III at these intervals. The mean (SD) number of complications was similar in both groups, and a similar number of surgeon contacts per patient occurred (1.6 [1.2] vs 2.1 [2.0], P = .16). Surgeons appreciated early identification of complications with the app. In this randomized clinical trial, postoperative follow-up for patients undergoing breast reconstruction and gynecologic oncology surgery using smartphone app-assisted monitoring led to improved quality of recovery and equal satisfaction with care compared with conventional in-person follow-up. ClinicalTrials.gov Identifier: NCT03456167.

Smartphone Slit Lamp Imaging-Usability and Quality Assessment.

To assess the usability and image quality of a smartphone adapter for direct slit lamp imaging. A single-center, prospective, clinical study conducted in the Department of Ophthalmology at the University Hospital Zurich, Switzerland. The smartphone group consisted of 26 medical staff (consultants, residents, and students). The control group consisted of one ophthalmic photographer. Both groups took images of the anterior and the posterior eye segment of the same proband. The control group used professional photography equipment. The participant group used an Apple iPhone 11 mounted on a slit lamp via a removable SlitREC smartphone adapter (Custom Surgical GmbH, Munich, Germany). The image quality was graded independently by two blinded ophthalmologists on a scale from 0 (low) to 10 (high quality). Images with a score ≥ 7.0/10 were considered as good as the reference images. The acquisition time was measured. A questionnaire on usability and experience in smartphone and slit lamp use was taken by all of the participants. Each participant had three attempts at the same task. The overall smartphone quality was 7.2/10 for the anterior and 6.4/10 for the posterior segment. The subjectively perceived difficulty decreased significantly over the course of three attempts (Kendall's W). Image quality increased as well but did not improve significantly from take 1 to take 3. However, the image quality of the posterior segment was significantly, positively correlated (Spearman's Rho) with work experience. The mean acquisition time for anterior segment imaging was faster in the smartphone group compared to the control group (156 vs. 206 s). It was vice versa for the posterior segment (180 vs. 151 s). Slit lamp imaging with the presented smartphone adapter provides high-quality imaging of the anterior segment. Posterior segment imaging remains challenging in terms of image quality. The adapter constitutes a cost-effective, portable, easy-to-use solution for recording ophthalmic photos and videos. It can facilitate clinical documentation and communication among colleagues and with the patient especially outside normal consultation hours. Direct slit lamp imaging allows for time to be saved and increases the independence of ophthalmologists in terms of patient mobility and the availability of photographic staff.

Smartphone imaging repository: a novel method for creating a CT image bank

BackgroundImaging repositories are commonly attached to ongoing clinical trials, but capturing, transmitting, and storing images can be complicated and labor-intensive. Typical methods include outdated technologies such as compact discs. Electronic file transfer is becoming more common, but even this requires hours of staff time on dedicated computers in the radiology department.MethodsWe describe and test an image capture method using smartphone camera video-derived images of brain computed tomography (CT) scans of traumatic intracranial hemorrhage. The deidentified videos are emailed or uploaded from the emergency department for central adjudication. We selected eight scans, mild moderate, and severe subdural and multicompartmental hematomas and mild and moderate intraparenchymal hematomas. Ten users acquired data using seven different smartphones. We measured the time in seconds it took to capture and send the files. The primary outcomes were hematoma volume measured by ABC/2, Marshall scale, midline shift measurement, image quality by a contrast-to-noise ratio (CNR), and time to capture. A radiologist and an imaging scientist applied the ABC/2 method and calculated the Marshall scale and midline shift on the data acquired on different smartphones and the PACS in a randomized order. We calculate the intraclass correlation coefficient (ICC). We measured image quality by calculating the contrast-to-noise ratio (CNR). We report summary statistics on time to capture in the smartphone group without a comparator.ResultsICC for lesion volume, midline shift, and Marshall score were 0.973 (95% CI 0.931, 0.994), 0.998 (95% CI: 0.996, 0.999), and 0.973 (0.931, 0.994), respectively. Lesion conspicuity was not different among the image types via assessment of CNR using the Friedman test, {lambda }^{2} of 24.8, P = < .001, with a small Kendall’s W effect size (0.591). Mean (standard deviation) time to capture and email the video was 60.1 (24.3) s.ConclusionsTypical smartphones may produce video image quality high enough for use in a clinical trial imaging repository. Video capture and transfer takes only seconds, and hematoma volumes, Marshall scales, and image quality measured on the videos did not differ significantly from those calculated on the PACS.

S-48-3: PHYSICAL ACTIVITY AND HEALTHY AGING

Hypertension is a risk factor for dementia, and physical activity has been reported to be effective in reducing the risk of hypertension and dementia. Several technical devices are available to monitor and promote changes in behavior toward higher activity. In particular, smartphones are becoming the primary platform for recognizing human activity. However, the effects of behavior change techniques that promote physical, cognitive, and social activities on incident dementia in older adults remain unknown. We are conducting a randomized controlled trial aims to examine the effects of behavior change techniques on the prevention of dementia among community-dwelling older adults using a smartphone as a behavior change tool. The study cohort comprises 3,498 individuals, aged 60 years and over, randomized into two groups: the smartphone group (n = 1,749) and the control group (n = 1,749). Intervention. The smartphone group will be asked to use smartphone applications for at least 30 minutes daily to self-manage and improve their physical, cognitive, and social activities. The smartphone group will perform 60-minute group walking sessions using application-linked Nordic walking poles with cognitive stimulation twice a week during the intervention period. The walking poles are a dual-task exercise tool that works with a smartphone to perform cognitive tasks while walking, and the poles are equipped with switches to answer questions for simple calculation and memory tasks. The smartphone and control groups will receive lectures about general health that will be provided during the baseline and follow-up assessments. Incident dementia as primary outcome will be detected using cognitive tests (at baseline, after 15 months, and after 30 months) and by preparing diagnostic monthly reports based on data from the Japanese Health Insurance System. Participants without dementia at baseline who will be diagnosed with dementia over the 30-month follow-up period will be considered to have incident dementia. This study has the potential to provide the first evidence of the effectiveness of information communication technology and Internet of Things in incident dementia. If our trial results show a delayed dementia onset for self-determination interventions, the study protocol will provide a cost-effective and safe method for maintaining healthy cognitive aging.

Smartphone Use Is Associated with Low Prevalence of Locomotive Syndrome among Elderly Individuals with Musculoskeletal Disorders.

Objectives: Physical activity management through smartphone applications is increasing worldwide; however, it is unclear whether smartphone users among elderly Japanese individuals with musculoskeletal disorders are less likely to experience “locomotive syndrome” (LoS). We aimed to test the hypothesis that LoS in smartphone users had lower prevalence than that in non-smartphone users among elderly individuals with musculoskeletal disorders. Methods: Elderly participants, aged ≥60 years, who visited the outpatient clinic were enrolled. All participants were asked whether or not they used smartphones and were allocated into either the smartphone group or the non-smartphone group. After completing the 25-question Geriatric Locomotive Function Scale (GLFS-25), LoS prevalence was determined by 3-stage cutoff values of the GLFS-25 score (≥7, ≥16, and ≥24), and the total and three subdomain scores (body pain, movement-related difficulty, and psychosocial complications) were compared between the two groups. Generalized linear regression was then performed to confirm whether the use of smartphones was associated with lower GLFS-25 scores, even after controlling for confounders. Results: Overall, 266 participants, aged ≥60 years, were recruited. LoS prevalence was significantly higher in the non-smartphone group than in the smartphone group at all stages (all p < 0.001). Mean GLFS-25 total and subdomain scores were significantly lower in the smartphone group than in the non-smartphone group (all p < 0.001), and these statistical relationships were maintained even after controlling for age and sex. Conclusions: Smartphone use was associated with low LoS prevalence and low GLFS-25 scores among elderly individuals with musculoskeletal disorders, although the causal relationship remains unclear.

Smartphone Color Vision Testing as an Alternative to the Conventional Ishihara Booklet.

Introduction Color vision testing was first seen as a parameter to be tested in the 1700s. Nowadays, it is a well-known phenomenon with significant quality-of-life implications. Structures involved in color vision include the lens, pupil, retinal cone photopigments, and several photoreceptor processes that translate the incoming spectrum of different light wavelengths into a processed colored image. An initial color vision assessment was made simply by comparing the color perception of the individual to that of the examiner. The most commonly used tools to screen for color vision defects today are color plates, such as the Ishihara color plates. In the modern age, smartphones have evolved to become an essential part of our everyday lives with applications such as Eye Handbook, which allow easier access to color vision testing using color plates displayed on smartphone screens. In this study, we compared color vision testing on Android and iOS devices to the standard Ishihara booklet. Materials and methods A cross-sectional validation study was performed on patients presenting to the Armed Forces Institute of Ophthalmology, Rawalpindi, Pakistan for six months. The sample size collected was 162 with a 95% confidence interval. The age range of the sample population was kept at 12-70 years. A patient was selected for participation in the study, and a color vision assessment was performed using the Ishihara color plates and Android and iOS smartphones. The collected data was then entered into IBM SPSS (Statistical Package for the Social Sciences) Statistics 25 for analysis, with the p-value being kept at 0.05. Results The sample size was 162, with the gender distribution being predominantly male (69.14%). The average age of the participants was 35.94 (SD = 12.04). The result of the two-tailed paired sample z-testwas not significant based on a p-value of 0.565, indicating the null hypothesis cannot be rejected. This finding suggests the difference between the mean of Ishihara and the mean of the iPhone was not significantly different from zero. Similar results were found for comparisons between Android smartphones and the Ishihara booklet. Conclusions Previous studies conducted showed nearly 60% of subjects with normal color vision correctly identified all colors on standard Ishihara color plates. The two-tailed paired sample t-test conducted in our study showed no significant difference between either of the smartphone groups (iPhone or Android) and the Ishihara booklet group, indicating that smartphones present a viable alternative to standard Ishihara booklet testing. However, there are certain limitations to our study. Different types of smartphone screens present a challenge in standardization while testing color vision, something that is not a problem when using the Ishihara booklet. However, smartphones are more widely available, more versatile, and present far greater ease of access. Both these factors should be considered when comparing the two in future studies.

S338 The Impact of Smartphone Applications on Bowel Preparation, Compliance With Appointments, Cost-Effectiveness and Patients’ Quality of Life for the Colonoscopy Process: A Scoping Review

S338 The Impact of Smartphone Applications on Bowel Preparation, Compliance With Appointments, Cost-Effectiveness and Patients’ Quality of Life for the Colonoscopy Process: A Scoping Review

The impact of smartphone applications on bowel preparation, compliance with appointments, cost-effectiveness, and patients' quality of life for the colonoscopy process: A scoping review.

The aim of this scoping review is to evaluate the impact of smartphone application (SPA) technology in patients undergoing elective colonoscopy to measure compliance with appointments, cost-effectiveness, bowel preparation, and quality of life. The scoping review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Ovid Medline, Web of Science, Science Direct, Scopus, Cochrane Library, and PubMed were screened up to Oct 14, 2020, and bibliographies of the retrieved articles were included. Based on pre-specified inclusion and exclusion criteria, 8 primary studies were included in the final analysis from a total of 3,979 non-duplicate articles. Seven out of eight studies measured the bowel preparation quality. In six of these studies, patients in the smartphone group had a successful bowel preparation when compared with the control arm; on the other hand, one study did not find any differences between groups. Adherence to colonoscopy screening was assessed by one study. Patients in the digital intervention arm were significantly more likely to complete a screening test. Patient satisfaction during the periprocedural period of colonoscopy was assessed by five studies which reported significantly higher patient satisfaction in the intervention arm compared to the control arm. None of the studies measured cost-effectiveness. We came to the conclusion that a well-designed, user-friendly SPA can help and guide patients undergoing colonoscopy through the process of following up on their appointments, adhering to bowel preparation, and better understanding their disease condition. Future trials investigating SPAs should include cost-effectiveness and adherence to appointments as an endpoint.

Telemedicine in retinopathy of prematurity: Crossing borders in pediatric vision health. TELEROP study

General objectiveTo evaluate the accuracy and validity of images with smartphone compared to the RetCam® system for the diagnosis of retinopathy of prematurity (ROP). MethodologyObservational, longitudinal and masked study carried out at the Dr. Elías Santana hospital. Infants with birth weight ≤1500 g, gestational age ≤30 weeks and/or patients exposed to risk factors or complications linked to ROP were included. These subjects were screened using images with smartphone or RetCam®, both compared to conventional fundoscopy. The ICROP classification was used for staging. The main results analyzed were sensitivity, specificity, positive predictive values and kappa index. Results915 images (n = 121) were obtained, distributed in smartphone group (50.4%) and RetCam® group (49.6%) between August 2020 and March 2021. Subjects with ROP had lower gestational age (30.2 sem ± 2.8), birth weight (1361 g ± 398), and greater exposure to oxygen therapy (12.8 days ± 11.3). The RetCam® group presented sensitivity = 80%, specificity = 78%, positive predictive value = 90% and kappa index = 0.70. The smartphone group presented sensitivity = 88%, specificity = 90%, positive predictive value = 93.75% and kappa index = 0.81. ConclusionsBoth diagnostic methods were accurate to identify ROP. The smartphone group obtained superior results with excellent resolution, representing a cost-effective method to create a global impact on reducing preventable blindness in the pediatric population.

Telemedicina en retinopatía del prematuro: Atravesando fronteras en la salud visual pediátrica. Estudio TELEROP

General objectiveTo evaluate the accuracy and validity of images with smartphone compared to the RetCam® system for the diagnosis of retinopathy of prematurity (ROP). MethodologyObservational, longitudinal and masked study carried out at the Dr. Elías Santana hospital. Infants with birth weight ≤ 1500 g, gestational age ≤ 30 weeks and/or patients exposed to risk factors or complications linked to ROP were included. These subjects were screened using images with smartphone or RetCam®, both compared to conventional fundoscopy. The ICROP classification was used for staging. The main results analyzed were sensitivity, specificity, positive predictive values and kappa index. Results915 images (n = 121) were obtained, distributed in smartphone group (50.4%) and RetCam® group (49.6%) between August 2020 and March 2021. Subjects with ROP had lower gestational age (30.2 sem ± 2.8), birth weight (1361 g ± 398), and greater exposure to oxygen therapy (12.8 days ± 11.3). The RetCam® group presented sensitivity = 80%, specificity = 78%, positive predictive value = 90% and kappa index = 0.70. The smartphone group presented sensitivity = 88%, specificity = 90%, positive predictive value = 93.75% and kappa index = 0.81. ConclusionsBoth diagnostic methods were accurate to identify ROP. The smartphone group obtained superior results with excellent resolution, representing a cost-effective method to create a global impact on reducing preventable blindness in the pediatric population.

Patient education by smartphones for bowel preparation before colonoscopy.

We aim to evaluate the effect of smartphone education on the bowel preparation quality of patients undergoing colonoscopy by meta-analysis. Randomized controlled trials using smartphones to educate patients on bowel preparation for colonoscopy were screened from the PubMed, Web of Science, Cochrane Library, and Embase databases from inception to August 31, 2021. After extracting the data, Review Manager software was used for meta-analysis. A total of 12 randomized controlled trials with 4165 patients were included in the meta-analysis. There were 2060 patients in the smartphone group, including 1784 patients with adequate bowel preparation, with a rate of 86.6%, and 2105 patients in the control group, including 1614 patients with adequate bowel preparation, with a rate of 76.7%, and pooled risk ratio (RR) was 1.15 (95% confidence interval [CI]: 1.07-1.23, P<0.01). Eight included studies reported the adenoma detection rate. The adenoma detection rate in the smartphone group was 26.2%, and the rate in the control group was 19.3%, with an RR of 1.29 (95% CI: 1.03-1.62, P<0.05). Using smartphones to educate patients on bowel preparation for colonoscopy improved the quality of bowel preparation and increased the adenoma detection rate.

The Potential and Limitations of Mobile Health and Insertable Cardiac Monitors in the Detection of Atrial Fibrillation in Cryptogenic Stroke Patients: Preliminary Results From the REMOTE Trial.

AimThis paper presents the preliminary results from the ongoing REMOTE trial. It aims to explore the opportunities and hurdles of using insertable cardiac monitors (ICMs) and photoplethysmography-based mobile health (PPG-based mHealth) using a smartphone or smartwatch to detect atrial fibrillation (AF) in cryptogenic stroke and transient ischemic attack (TIA) patients.Methods and ResultsCryptogenic stroke or TIA patients (n = 39) received an ICM to search for AF and were asked to use a blinded PPG-based mHealth application for 6 months simultaneously. They were randomized to smartphone or smartwatch monitoring. In total, 68,748 1-min recordings were performed using PPG-based mHealth. The number of mHealth recordings decreased significantly over time in both smartphone and smartwatch groups (p < 0.001 and p = 0.002, respectively). Insufficient signal quality was more frequently observed in smartwatch (43.3%) compared to smartphone recordings (17.8%, p < 0.001). However, when looking at the labeling of the mHealth recordings on a patient level, there was no significant difference in signal quality between both groups. Moreover, the use of a smartwatch resulted in significantly more 12-h periods (91.4%) that were clinically useful compared to smartphone users (84.8%) as they had at least one recording of sufficient signal quality. Simultaneously, continuous data was collected from the ICMs, resulting in approximately 6,660,000 min of data (i.e., almost a 100-fold increase compared to mHealth). The ICM algorithm detected AF and other cardiac arrhythmias in 10 and 19 patients, respectively. However, these were only confirmed after adjudication by the remote monitoring team in 1 (10%) and 5 (26.3%) patients, respectively. The confirmed AF was also detected by PPG-based mHealth.ConclusionBased on the preliminary observations, our paper illustrates the potential as well as the limitations of PPG-based mHealth and ICMs to detect AF in cryptogenic stroke and TIA patients in four elements: (i) mHealth was able to detect AF in a patient in which AF was confirmed on the ICM; (ii) Even state-of-the-art ICMs yielded many false-positive AF registrations; (iii) Both mHealth and ICM still require physician revision; and (iv) Blinding of the mHealth results impairs compliance and motivation.

Penlight versus Smartphone: Diagnostic Efficacy of Transillumination

Background: The purpose of this study was to compare the diagnostic accuracy of a smartphone flashlight to a conventional penlight with regards to transillumination of simulated soft tissue masses of the hand and wrist. Methods: Eight participants performed transillumination assessments in a fresh frozen cadaver upper extremity model. Spheres measuring 9.5 mm were used to simulate fluid-filled or solid soft tissue masses. Two spheres were placed on the volar aspect and two on the dorsal aspect of the wrist. These were then evaluated with either a smartphone flashlight or penlight. Participants noted whether each sphere did or did not transilluminate. Each participant performed two evaluations at an interval of 3 weeks. Results: The overall sensitivity, specificity and accuracy of the smartphone were 100%, 44% and 72%, respectively. The overall sensitivity, specificity and accuracy of the penlight were 100%, 75% and 88%, respectively. The difference in accuracy between the smartphone group and penlight group was statistically significant (p = 0.029). The kappa value, indicating intra-observer agreement, for the smartphone group and penlight group was 0.76 and 0.76, respectively. Conclusion: In conclusion, transillumination with a penlight is a viable adjunct to the examination of soft tissue masses of the hand and wrist. The use of a smartphone flashlight, while convenient, is less accurate than a penlight and can lead the examiners to misinterpret the composition of soft tissue masses. Level of Evidence: Level IV (Diagnostic).