JMU - JMIR mHealth and uHealth

Time 2020-12-24 11:03:18

Web Name: JMU - JMIR mHealth and uHealth

WebSite: http://mhealth.jmir.org

ID:144497

Keywords:

JMIR,JMU,mHealth,

Description:

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you. Who will be affected? Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central Authors: No access to the submission form or your user account. Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM. Editors: No access to your user account to assign reviewers or make decisions. Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM. Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing, and domotics for health See our COVID-19 Papers and Special Issues Acceptance of a Smartphone-based Visual Field Screening Platform for Glaucoma: Pre-Post Study Background: Glaucoma, the “silent thief of sight”, is a major cause of blindness worldwide. It is a burden for people in low-income countries specifically, where it accounts for 15% of the total blindness. More than half of the people living with glaucoma in low-income countries, are unaware of their disease until it progresses to an advanced stage, resulting in permanent visual impairment. Objective: To evaluate the acceptability of the Glaucoma Easy Screener (GES), a low-cost and portable visual field screening platform comprising of a smartphone, a stereoscopic VR headset and a gaming joystick. Methods: A mixed-method study was conducted to evaluate the acceptability of GES, including 24 eye care professionals from four hospitals in Southwest Ethiopia. A pre-post design was employed to collect perspectives before and after using GES, using questionnaires and semi-structured interviews. The questionnaire and interview questions were guided by the Unified Theory of Acceptance and Use of Technology (UTAUT). Results: Positive results were obtained both pre-use and post-use, suggesting acceptance of mHealth solutions for glaucoma screening, using a low-cost headset through a smartphone and a game controller. Ophthalmic professionals perceived GES as easy-to-use, enabling the screening of glaucoma screening tests, especially during outreach to rural areas. However, positive evaluations are contingent on adequate accuracy of the tool. Moroever, ophtalmic professionals voiced the need to limit the tool to screening only, and not for diagnosis. Conclusions: The study supports the feasibility of using a mobile device in combination with a low-cost VR headset and classic controller for glaucoma screening in rural areas. GES has the potential to reduce the burden of irreversible blindness due to glaucoma. Yet, a further assessment of its sensitivity and specificity is needed. Date Submitted: Dec 17, 2020 Open Peer Review Period: Dec 17, 2020 - Feb 11, 2021 Peer-Review Me (Toronto, Sep 22, 2020) We are happy to announce that JMIR mHealth and uHealth, which published its first article in 2013, has been accepted for coverage in American Psychological Association’s (APA) PsycINFO.JMIR Publications is pleased to have the following journals covered in PsycINFO:Journal of Medical Internet ResearchJMIR Human Factors (approved September 22, 2020)JMIR Mental Health (approved September 22, 2020)JMIR Serious Games (approved September 22, 2020)APA is the leading scientific and professional organization representing psychology in the United States, with more than 121,000 researchers, educators, clinicians, consultants and students as its members worldwide. APA’s PsycINFO is a world-class resource for abstracts and citations of behavioral and social science research and JMIR Publications is glad to be a part of it.The citations will be searchable once APA does the next quarterly update for PsycINFO. Read Post JMIR mHealth and uHealth(JMU, ISSN 2291-5222; Impact Factor 4.31) is a sister journal of JMIR, the leading eHealth journal.JMIR mHealth and uHealthis indexed in PubMed, PubMed Central, Scopus, MEDLINE and Science Citation Index Expanded (SCIE), and in June 2020 received anImpact Factor of 4.31, ranking the journal Q1 in the medical informatics category indexed by the Science Citation Index Expanded (SCIE) by Thomson Reuters/Clarivate.The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics.JMIR mHealth and uHealthpublishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.JMIR mHealth and uHealthfeatures a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs.JMIR mHealth and uHealthadheres to the same quality standards as JMIR and all articles published here are also cross-listed in the Table of Contents of JMIR, the worlds' leading medical journal in health sciences / health services research and health informatics. Read More Show Less Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Background: Since the 1970s, psychological and neuroscientific research has had an increasing interest in mindfulness meditation. The resulting findings were followed by various programs which are bas... Read Abstract Close Background: Since the 1970s, psychological and neuroscientific research has had an increasing interest in mindfulness meditation. The resulting findings were followed by various programs which are based on the same idea: mindfulness meditation is a process of openly attending, with awareness to one’s present moment experience. In recent years the traditional programs have been turned more and more into digital applications, which promise increased spatial and temporal flexibility as well as an individual use. However, the large number of mobile applications offered contrasts with few evidence-based programs. Objective: The present review aims to consider the potential of mobile but also traditional programs to improve executive functions and alter neural mechanisms, in order to meet the growing demands of our digitized everyday life. Methods: - Results: By reviewing previous empirical findings and theoretical considerations, we describe short-term and long-term effects of both types as well as challenges and limitations with which they are faced. Conclusions: Furthermore, we provide potential solutions for future programs with a specific focus of improving executive functions and underlying neural mechanisms. Clinical Trial: - Predicting Depression from Smartphone Behavioral Markers Using Machine Learning Methods, Hyper-parameter Optimization, and Feature Importance Analysis: An Exploratory Study Collecting data on daily habits across a population of individuals is challenging. Circadian ecological momentary assessment (cEMA) is a powerful frame for observing the impact of daily living on long... Read Abstract Close Collecting data on daily habits across a population of individuals is challenging. Circadian ecological momentary assessment (cEMA) is a powerful frame for observing the impact of daily living on long-term health. In this paper we: 1) Describe the design and rationale for specifications of a mobile-based cEMA application (mobile App) to collect timing of eating and sleeping data, and 2) Compare cEMA and survey data as part of a 6-month observational cohort study assessing the association between timing of eating and sleeping and weight. The ultimate goal of this paper is to summarize our experience and lessons learned with the Daily24 mobile App and to highlight the pros and cons of this data collection modality. Our particular use case illustrates general trends for this type of App. Data collected through the mobile application captured more variability in eating windows than data collected through a one-time survey, though at a significant cost. Researchers should consider the potential uses of a mobile App beyond the initial data collection when deciding whether the time and monetary expenditure is advisable for their situation and goals. Advertisement

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