Journal of mobile technology in medicine最新文献

{"title":"Preliminary Validation Study of Consumer-level Activity Monitors and Mobile Applications for Step Counting under Free Living Conditions","authors":"M. Adamakis","doi":"10.7309/JMTM.6.1.4","DOIUrl":"https://doi.org/10.7309/JMTM.6.1.4","url":null,"abstract":"","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 1","pages":"26-33"},"PeriodicalIF":0.0,"publicationDate":"2017-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71139309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wireless Smartphone Videography for Ocular Surgery SYSTEM","authors":"J. Chan, E. Zunaina, I. Shatriah, Tajudin Liza-Sharmini, P. Goh","doi":"10.7309/JMTM.6.1.1","DOIUrl":"https://doi.org/10.7309/JMTM.6.1.1","url":null,"abstract":"SURGERY SYSTEM Jan-Bond Chan, MBBS, MMed Ophthal, Embong Zunaina, MD, MMed Ophthal, Ismail Shatriah, MD, MMed Ophthal, Tajudin Liza-Sharmini, MBBS, MMed Ophthal, Pik-Pin Goh, MD, MS Ophthal Hospital Tuanku Ja’afar Seremban, Negeri Sembilan, Malaysia; Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia; Clinical Research Centre, Hospital Kuala Lumpur, Malaysia Corresponding Author: janbond@hotmail.com","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43519077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Feasibility of a Tablet-based Self-monitoring and Management System in Pregnant Women","authors":"Hiroshi Kobayashi, Yuno Osanai, T. Sado, K. Naruse, M. Horiguchi","doi":"10.7309/JMTM.6.1.3","DOIUrl":"https://doi.org/10.7309/JMTM.6.1.3","url":null,"abstract":"Objectives: Many health telemedicine applications (apps) have been released in the clinical-care setting. There is limited information regarding the utility of ICT-based maternity data collection and a comprehensive home-based model of care for high risk pregnant women. The aim of our study was to assess the feasibility of a tablet-based real-time bidirectional telecommunication of self-reported maternal condition in normal and high risk pregnant women.","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 1","pages":"19-25"},"PeriodicalIF":0.0,"publicationDate":"2017-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42987615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The BUS Framework: A comprehensive tool in creating an mHealth App utilizing Behavior Change Theories, User-Centered Design, and Social Marketing.","authors":"Sajani Patel, Monisha Arya","doi":"10.7309/jmtm.6.1.6","DOIUrl":"https://doi.org/10.7309/jmtm.6.1.6","url":null,"abstract":"","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 1","pages":"39-45"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.7309/jmtm.6.1.6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35225057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"mHealth: Vehicle for Health System Strengthening in Sri Lanka","authors":"M. Senanayake, G. Senanayake","doi":"10.7309/jmtm.6.1.5","DOIUrl":"https://doi.org/10.7309/jmtm.6.1.5","url":null,"abstract":"Sri Lanka has a unique primary healthcare system with diverse community based healthcare services. Emerging health challengers in sustainable development era needs to be addressed with special emphasis on universal health coverage. \u0000 \u0000mHealth technology is an evidence based intervention to cater the novel healthcare priorities. mHealth needs to be integrated into the existing health system functions, rather stand-alone resolutions. mHealth applications are used for behaviour change communication, point-of-care diagnosis, vital event registration, data collection, electronic health records, provider-to-provider communication, human resource management and supply chain management initiatives. Incorporating these mHealth interventions at community level are essential in resolving future health challengers in Sri Lanka.","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 1","pages":"34-38"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43624992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meta-analysis of Mobile Phone Reminders on HIV Patients' Retention to Care.","authors":"SoSon Jong,&nbsp;Yvette Cuca,&nbsp;Lisa M Thompson","doi":"10.7309/jmtm.6.1.2","DOIUrl":"10.7309/jmtm.6.1.2","url":null,"abstract":"<p><strong>Aims: </strong>This research aims to systematically review the current clinical evidence of the efficacy of mobile phone reminders on retention to care among HIV patients. This study also seeks to determine an effect size of the intervention and presents implications for future studies.</p><p><strong>Background: </strong>Use of mobile technologies is an innovative and affordable approach to HIV prevention and care, particularly in resource limited settings. Approximately two-thirds of people who are initially diagnosed with HIV are lost to follow-up before starting HIV treatment in low and middle-income countries, posing serious global health concerns. While mobile text message reminders for HIV medication adherence have shown positive health outcomes, it is not well understood whether the reminders can also improve patients' retention to care.</p><p><strong>Methods: </strong>The authors conducted a meta-analysis of literature in the following databases: PubMed, CINAHL, ProQuest, and Web of Science. Of the 667 peer-reviewed research articles reviewed, nine studies were included in the final analysis. Stata version 13 was used for the analysis.</p><p><strong>Results: </strong>Nine studies (5 randomized controlled and 4 before and after studies) from 7 countries included 3,004 HIV patients. Random-effect meta-analysis (I-squared = 94.1%) found that HIV patients who received mobile phone reminders for their follow-up appointments were two times more likely to return to care than those who didn't receive reminders (pooled odd ratio (OR)=2.04, 95% CI: 0.97-4.27). Our sub-group analysis of 5 randomized controlled studies showed a significant effect of mobile phone reminders (OR=2.04, 95% CI: 1.11-3.74). Six studies in Africa showed that HIV patients (mostly women) receiving mobile phone reminders were three times more likely to return to care than those who received no reminders (OR=2.92, 95% CI: 1.13-7.53).</p><p><strong>Conclusion: </strong>Mobile phone reminders are an effective intervention to improve retention to HIV care. Women with HIV living in resource limited settings benefit significantly from the intervention. Also, mobile phone reminders using text messages are as effective as phone calls to improve retention to HIV care.</p>","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 1","pages":"5-18"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124685/pdf/nihms-984980.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36475785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Application of a Smartphone-Based Ophthalmic Camera adapter in Under-Resourced Settings in Nepal.","authors":"Carmel Mercado,&nbsp;John Welling,&nbsp;Matthew Oliva,&nbsp;Jack Li,&nbsp;Reeta Gurung,&nbsp;Sanduk Ruit,&nbsp;Geoff Tabin,&nbsp;David Chang,&nbsp;Suman Thapa,&nbsp;David Myung","doi":"10.7309/jmtm.6.3.6","DOIUrl":"https://doi.org/10.7309/jmtm.6.3.6","url":null,"abstract":"<p><strong>Background: </strong>The ability to obtain high quality ocular images utilizing smartphone technology is of special interest in under-resourced parts of the world where traditional ocular imaging devices are cost-prohibitive, difficult to transport, and require a trained technician for operation.</p><p><strong>Purpose: </strong>The purpose of this study was to explore potential anterior and posterior segment ocular imaging use cases for a smartphone-based ophthalmic camera adapter (Paxos Scope, Digisight Technologies, San Francisco, CA, USA) in under-resourced settings in Nepal.</p><p><strong>Methods: </strong>From September to November of 2015 we utilized the Paxos Scope smartphone camera adapter coupled with an iPhone 5 to explore anterior and posterior segment clinical applications for this mobile technology. We used the device at a tertiary eye care facility, a rural eye hospital and a rural cataract outreach camp. We tested the device's capability for high quality photo-documentation in clinic, in the operating room, and in the outreach camp setting. Images were automatically uploaded to a secure, cloud-based electronic medical record system that facilitated sharing of images with other providers for telemedicine purposes.</p><p><strong>Results: </strong>Herein we present 17 ocular images documenting a wide variety of anterior and posterior segment pathology using the Paxos Scope from clinical cases seen in a variety of settings in Nepal.</p><p><strong>Conclusions: </strong>We found the quality of both the anterior and posterior segment images to be excellent in the clinic, the operating room, and the outreach camp settings. We found the device to be versatile and user-friendly, with a short learning curve. The Paxos Scope smartphone camera adapter may provide an affordable, high-quality, mobile ocular imaging option for under-resourced parts of the world.</p>","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"6 3","pages":"34-42"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888986/pdf/nihms-1610738.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25383405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE FUTURE OF AUTOMATED MOBILE EYE DIAGNOSIS","authors":"Cassie A. Ludwig, M. X. Shan, Nam Nguyen, Daniel Y. Choi, Victoria Ku, Carson K. Lam","doi":"10.7309/JMTM.5.2.7","DOIUrl":"https://doi.org/10.7309/JMTM.5.2.7","url":null,"abstract":"The current model of ophthalmic care requires the ophthalmologist’s involvement in data collection, diagnosis, treatment planning, and treatment execution. We hypothesize that ophthalmic data collection and diagnosis will be automated through mobile devices while the education, treatment planning, and fine dexterity tasks will continue to be performed at clinic visits and in the operating room by humans. Comprehensive automated mobile eye diagnosis includes the following steps: mobile diagnostic tests, image collection, image recognition and interpretation, integrative diagnostics, and user-friendly, mobile platforms. Completely automated mobile eye diagnosis will require improvements in each of these components, particularly image recognition and interpretation and integrative diagnostics. Once polished and integrated into greater medical practice, automated mobile eye diagnosis has the potential to increase access to ophthalmic care with reduced costs, increased efficiency, and increased accuracy of diagnosis.","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"5 1","pages":"44-50"},"PeriodicalIF":0.0,"publicationDate":"2016-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71138596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Survey of Japanese Young Adults’ Postures When Using Smartphones before Sleeping","authors":"M. Yoshimura, Momoko Kitazawa, T. Kishimoto, M. Mimura, K. Tsubota","doi":"10.7309/JMTM.5.2.8","DOIUrl":"https://doi.org/10.7309/JMTM.5.2.8","url":null,"abstract":"WHEN USING SMARTPHONES BEFORE SLEEPING Michitaka Yoshimura, MA, Momoko Kitazawa, MA, Taishiro Kishimoto, MD, PhD*, Masaru Mimura, MD, PhD, Kazuo Tsubota, MD, PhD Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan; Hofstra Northwell School of Medicine, Hempstead, New York, USA *Taishiro Kishimoto is not a recipient of a research scholarship. Corresponding Author: t-kishimoto@keio.jp Journal MTM 5:2:51 53, 2016 doi:10.7309/jmtm.5.2.8","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"5 1","pages":"51-53"},"PeriodicalIF":0.0,"publicationDate":"2016-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71138711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The era of automated systems to facilitate health care","authors":"R. Chakrabarti","doi":"10.7309/jmtm.5.2.1","DOIUrl":"https://doi.org/10.7309/jmtm.5.2.1","url":null,"abstract":"In this issue, Ludwig et al provide a brief overview of the existing technologies available to aid automated diagnostic and referral in the field of the ophthalmology. The authors provide a summary of a potential pathway for automated ophthalmic care through the use of mobile diagnostic devices that can facilitate image collection. The first step in the clinical algorithm is safe and accurate image capturing technologies. The authors highlight examples of mobile diagnostic adapters developed by the Peek Vision group (UK), D-eye system (Italy), and iExaminer (Welch Allyn) which convert the modern smartphone into an anterior and posterior segment image capturing device. These images can then be collated, filtered for quality, and interpreted by automated software and results can, in theory, be graded in real-time to provide risk stratification and triaging of patients.","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"5 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71138138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}