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The Moderating Effect of Self-Efficacy on Pregnancy Stress and Smartphone Addiction of Pregnant Women in Late Pregnancy: A Longitudinal Study.

PURPOSE: We aimed to understand the current situation of smartphone addiction in pregnant women, and explored the moderating effect of self-efficacy between pregnancy stress and smartphone addiction. PATIENTS AND METHODS: This study adopted a longitudinal design to collect pregnant women from the obstetrics and gynecology department of a tertiary hospital in Shenyang in 2020 from early pregnancy (T1) to their late pregnancy (T2). A total of 342 questionnaires were collected, including the Smartphone Addiction Scale-Short Version (SAS-SV), the Pregnancy Pressure Scale (PPS), and the Chinese ve…

Using a smartphone app in the measurement of posture-related pupil center shift on centration during corneal refractive surgery.

Purpose: Pupil center is an important anchor point in corneal refractive surgery, which may affect by body position. This study investigated the feasibility of using a smartphone application in measurement of posture-related pupil center shifts. Methods: Images of undilated eyes were captured for 25 participants (age: 18-38 years) at a distance of 40 cm in four body positions (seated, supine, right lateral, and left lateral) under controlled lighting conditions. During taking images, a smartphone application was used to guide positioning without head rotation and tilt. From the images, the loc…

A decentralized, prospective, observational study to collect real-world data from patients with myasthenia gravis using smartphones.

INTRODUCTION: We conducted a 3-month, prospective study in a population of patients with Myasthenia Gravis (MG), utilizing a fully decentralized approach for recruitment and monitoring (ClinicalTrials.gov Identifier: NCT04590716). The study objectives were to assess the feasibility of collecting real-world data through a smartphone-based research platform, in order to characterize symptom involvement during MG exacerbations. METHODS: Primary data collection included daily electronically recorded patient-reported outcomes (ePROs) on the presence of MG symptoms, the level of symptom severity (u…

The STEPWISE study: study protocol for a smartphone-based exercise solution for people with Parkinson's Disease (randomized controlled trial).

BACKGROUND: Exercise has various health benefits for people with Parkinson's disease (PD). However, implementing exercise into daily life and long-term adherence remain challenging. To increase a sustainable engagement with physical activity of people with PD, interventions that are motivating, accessible, and scalable are needed. We primarily aim to investigate whether a smartphone app (STEPWISE app) can increase physical activity (i.e., step count) in people with PD over one year. Our second aim is to investigate the potential effects of the intervention on physical fitness, and motor- and n…

Effects of a Smartphone-Based Self-Management Intervention for Individuals With Bipolar Disorder on Relapse, Symptom Burden, and Quality of Life

In people with a diagnosis of bipolar I, a smartphone app for symptom monitoring and behavioral guidance (with coaching on how to use it and encouragement to do so) lowered the risk of relapse into a mood episode but only in patients who were inherently at lower risk of such a recurrence. By comparison, participants who had continuous or prodromal symptoms before the intervention did not show an intervention effect, perhaps because this group also had multiple indicators of more severe illness and more challenging life circumstances.

Pregnant women's attitudes to and experiences with a smartphone-based self-test for prediction of pre-eclampsia: a qualitative descriptive study.

OBJECTIVES: To explore attitudes to and experiences using a smartphone-based self-test for prediction of pre-eclampsia among pregnant women. DESIGN: A qualitative, descriptive study. SETTING: An obstetrical care unit at a university hospital in Denmark. PARTICIPANTS: Twenty women who had participated in the Salurate trial, a clinical trial testing the efficacy of a smartphone-based self-test for prediction of pre-eclampsia, were purposefully chosen for the study, using maximum variation sampling. DATA COLLECTION AND ANALYSIS: Data were collected by semistructured, individual, face-to-face …

An implantable loop recorder or smartphone based single-lead electrocardiogram to detect arrhythmia in adults with congenital heart disease?

BACKGROUND: The European Society of Cardiology (ESC) guidelines for the management of adult congenital heart disease (ACHD) recommend screening in patients at risk for arrhythmic events. However, the optimal mode of detection is unknown. METHODS: Baseline and follow-up data of symptomatic ACHD patients who received an implantable loop recorder (ILR) or who participated in a smartphone based single-lead electrocardiogram study were collected. The primary endpoint was time to first detected arrhythmia. RESULTS: In total 116 ACHD patients (mean age 42 years, 44% male) were studied. The ILR grou…

Rapid Testing of Δ9-Tetrahydrocannabinol and Its Metabolite On-Site Using a Label-Free Ratiometric Fluorescence Assay on a Smartphone.

Excessive consumption of Δ9-tetrahydrocannabinol (THC) severely endangers human health and has raised public safety concerns. However, its q … be instantly observed upon the increased concentration of THC and THC-COOH. Furthermore, a portable smartphone-based fluorescence device integrated with a self-programmed Python program was fabricated and used to accomplish on-site monitoring of THC and THC-COOH within 5 min. Under optimized conditions, this ratiometric fluorescent sensor allowed for an inst …

Smartphone application links severity of retinopathy of prematurity to early motor behavior in a cohort of high-risk preterm infants.

PURPOSE: To evaluate the General Movement Assessment (GMA) with the Motor Optimality Score-Revised (MOS-R) as a neurodevelopmental marker in infants with retinopathy of prematurity (ROP). METHODS: Infants screened prospectively for ROP were evaluated at 3 months' post-term age using a smartphone application to complete the GMA and MOS-R. Results were analyzed by ROP severity. RESULTS: Of 105 enrolled infants, 83 completed the study. Of these, 54 (65%) had any ROP, 32 (39%) had severe ROP, and 13 (16%) had type 1 ROP. The proportion with aberrant GMA was significantly higher in infants with s…

A novel rapid measurement method of cervical sagittal parameters based on the integrated inclinometer of a smartphone: a validity and reliability study.

Objectives: A new method was introduced using a smartphone's integrated inclinometer for rapid measurement of sagittal cervical parameters. The present study aims to compare the validity and reliability of the proposed method.Methods: We retrospectively reviewed 120 patients with cervical spondylosis treated at our hospital. The C0-2 Cobb angle, C2-7 Cobb angle, T1-slope (T1S), and neck tilt (NT) were selected as representative sagittal angles for this study. Two methods, the smartphone's integrated inclinometer and picture archiving and communication system (PACS), were used to measure these …

Разработка и внедрение смартфона для диагностики трахомы: использование без кода глубокого обучения и экспозиции искусственного интеллекта.

ЦЕЛЬ: Автоматизированное машинное обучение (AutoML) позволяет врачам, не имеющим опыта кодирования, создавать свои собственные модели глубокого обучения (DL). В этом исследовании оценивается эффективность AutoML в диагностике трахомы на основе собранных на местах конъюнктурных изображений и сопоставляется с моделями DL, разработанными экспертами. МЕТОДЫ: два стажера-офтальмолога, не имеющие опыта кодирования, разработали модель AutoML с использованием общедоступного набора данных изображений, собранных на местах с помощью конъюнктурных изображений (1656 помеченных снимков). Мы разработали две

Совпадение в аннотации оригинала
PURPOSE: Automated machine learning (AutoML) allows clinicians without coding experience to build their own deep learning (DL) models. This … s trained on the same dataset. Using AutoML to create models and edge computing to deploy them into smartphone-based apps, our approach brings the whole spectrum of DL model design into the hands of clinicians. This approach has the potential to democratize access to artificial intelligence.

Integrated calibration and serum iron in situ analysis into an array microfluidic paper-based analytical device with smartphone readout.

In this work, a colorimetric microfluidic paper-based analytical device (μPAD) combined with a smartphone readout was proposed for the determination of serum iron (Fe3+), which is linked to transferrin. Firstly, Fe3+ was selectively isolated and preconcentrated from serum by using anti-transferrin immunomagnetic beads (anti-Tf-MBs). Secondly, Fe3+ is reduced to Fe2+ by a hydroxylamine solution (pH 4.8) and then measured in the μPAD, which contains the colorimetric reagent ferrozine. Finally, the intensity of the purple color formed in the μPAD was measured by a smartphone. The approach exhibit…

Smartphone Pedometer Sensor Application for Evaluating Disease Activity and Predicting Comorbidities in Patients with Rheumatoid Arthritis: A Validation Study.

Smartphone-based pedometer sensor telemedicine applications could be useful for measuring disease activity and predicting the risk of developing comorbidities, such as pulmonary or cardiovascular disease, in patients with rheumatoid arthritis (RA), but the sensors have not been validated in this patient population. The aim of this study was to validate step counting with an activity-tracking application running the inbuilt Android smartphone pedometer virtual sensor in patients with RA. Two Android-based smartphones were tested in a treadmill test-bed setup at six walking speeds and compared t…

The feasibility of smartphone-based application on cardiac rehabilitation for Chinese patients with percutaneous coronary intervention in Macau: a qualitative evaluation.

BACKGROUND: To improve cardiovascular risk factors modification and effects of cardiac rehabilitation (CR), electronic applications on CR are suggested in the literature for patients after percutaneous coronary intervention (PCI). METHODS: A sequential qualitative study, embedded in a quantitative experimental trial for mHealth application on CR (mCR) study evaluation, was conducted to understand the usability and satisfaction of mCR study. Purposive sampling were used until achieving data saturation. Individually semi-structured interviews were conducted. The textual narration from interview

Design of a novel smartphone-based photostress recovery time test for detecting abnormalities in the macula. A cross-sectional study.

BACKGROUND: The study aims to present a new smartphone-based photostress recovery time test (K-PSRT test) that measures the stimulus-specific loss of visual sensitivity, as well as the differentiation between normal from abnormal macular function. This novel test defines a new standardized photostress application as an alternative tool for incorporation into clinical practice. MATERIALS AND METHODS: A total of 48 visually impaired eyes and 47 normal sighted age-matched controls eyes were enrolled in the study. The median age in subjects with impairment was 71.0 years, while the median age in …

Prevalence and predisposing factors of smartphone addiction, sleep quality and daytime sleepiness of nursing students: A cross-sectional design.

AIM: The current study aimed to determine the prevalence of smartphone addiction, sleep quality and daytime sleepiness of nursing students and to identify the predisposing factors of these parameters. BACKGROUND: The use of smartphones, which has become an indispensable part of daily life, has various effects on addictive behavior and sleep. DESIGN: The present study was performed with a cross-sectional design. METHODS: The population of the study comprised of nursing students attending all grades at two universities (N = 940). A total of 771 students were included in the study. Data were c…

Towards the use of a smartphone imaging-based tool for point-of-care detection of asymptomatic low-density malaria parasitaemia.

BACKGROUND: Globally, there are over 200 million cases of malaria annually and over 400,000 deaths. Early and accurate detection of low-dens … ue, particle diffusometry (PD), is combined with loop mediated isothermal amplification (LAMP) on a smartphone-enabled device to detect low levels of parasitaemia often associated with asymptomatic malaria. After amplification, PD quantifies the Brownian motion of fluorescent nanoparticles in the solution during a 30 s video taken on the phone. The resulting …

A Smartphone App for Supporting the Self-management of Daytime Urinary Incontinence in Adolescents: Development and Formative Evaluation Study of URApp.

BACKGROUND: Daytime urinary incontinence (UI) is common in childhood and often persists into adolescence. UI in adolescence is associated wi … h can be challenging for young people. OBJECTIVE: This paper aims to describe the development of a smartphone app (URApp) that aims to improve concordance with bladder training in young people aged 11 to 19 years. METHODS: URApp was designed by using participatory co-design methods and was guided by the person-based approach to intervention design. The cor …

Exploration of Psychological Mechanism of Smartphone Addiction Among International Students of China by Selecting the Framework of the I-PACE Model.

The I-PACE (interaction of person-affect-cognition-execution) model explains that the causes of addiction are the result of individual susceptibility (genetic and personality), psychopathological factors (negative emotions), and cognitive and affective factor interaction. The issue of smartphone addiction and its emerging effects are now becoming an essential social enigma. This study is aimed at exploring how personal, affective, cognitive, and execution factors accelerate the mechanism of smartphone addiction among international students. Randomly selected, six hundred international students…

Internet and smartphone-based ecological momentary assessment and personalized advice (PROfeel) in adolescents with chronic conditions: A feasibility study.

OBJECTIVE: Growing up with a chronic disease comes with challenges, such as coping with fatigue. Many adolescents are severely fatigued, though its associated factors exhibit considerable interpersonal and longitudinal variation. We assessed whether PROfeel, a combination of a smartphone-based ecological momentary assessment (EMA) method using the internet, followed by a face-to-face dialogue and personalized advice for improvement of symptoms or tailor treatment based on a dynamic network analysis report, was feasible and useful. STUDY DESIGN: Feasibility study in fatigued outpatient adolesc…