mHealth最新文献

{"title":"Online recruitment of youth for mHealth studies.","authors":"Maria Zlotorzynska,&nbsp;José A Bauermeister,&nbsp;Jesse M Golinkoff,&nbsp;Willey Lin,&nbsp;Travis H Sanchez,&nbsp;Lisa Hightow-Weidman","doi":"10.21037/mhealth-20-64","DOIUrl":"https://doi.org/10.21037/mhealth-20-64","url":null,"abstract":"<p><strong>Background: </strong>Social networking sites and apps have emerged as an opportunity to engage in research young men who have sex with men (YMSM) at risk of HIV infection who may not be otherwise reached by in-person recruitment efforts. This paper highlights lessons learned, best practices and on-going recruitment challenges in the iTech network of the NIH Adolescent Trials Network for HIV Interventions.</p><p><strong>Methods: </strong>Recruitment was conducted for four randomized controlled trials (RCTs) of mHealth HIV prevention interventions for YMSM living in 10 US cities. Advertising was purchased on Facebook, Instagram, Snapchat, Twitter and Grindr. Users who clicked on banner ads were taken directly to a study-specific eligibility screener and if eligible, were asked to provide contact information for follow-up by respective study site staff. Ad and screening metrics (impressions, clicks, cost per click (CPC), click-through rate (CTR), number screened, number eligible, number who provided contact information and cost per eligible contact) were compared across platforms, studies and geographic areas (where available). Screening metrics were also calculated for in-person recruitment efforts.</p><p><strong>Results: </strong>Grindr and Snapchat ads produced the highest CTRs as compared to Facebook ads. However, these ads had the lowest proportions of users who initiated eligibility screeners and ultimately Facebook ads yielded the lowest cost per eligible contact across studies. Instagram ads yielded the highest proportions of eligible contacts who were racial/ethnic minorities and under the age of 18. Geographic variability in cost per eligible contact was observed for studies with identical eligibility criteria running concurrently in different regions, driven by both advertising costs and the screening and eligibility rates. Despite lower eligibility rates, the total numbers of eligible contacts were higher for online advertising campaigns, as compared to other recruitment efforts, for all studies except P3. Ads recruiting for P3 had the highest cost per eligible contact, likely due to this study having the most stringent eligibility criteria of the studies described.</p><p><strong>Conclusions: </strong>We implemented a successful online advertising strategy to recruit YMSM at high risk for HIV infection into four RCTs of mHealth interventions. This report provides a framework for evaluation of data from future online recruitment efforts across platforms and geographic areas, regardless of inevitable changes in the digital marketing space.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 ","pages":"27"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063013/pdf/mh-07-20-64.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9454857","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":"A pilot randomized controlled trial (RCT) of daily versus weekly interactive voice response calls to support adherence among antiretroviral treatment patients in India.","authors":"Dallas Swendeman, Anne E Fehrenbacher, Soma Roy, Protim Ray, Stephanie Sumstine, Aaron Scheffler, Rishi Das, Smaraijt Jana","doi":"10.21037/mhealth-19-248a","DOIUrl":"10.21037/mhealth-19-248a","url":null,"abstract":"<p><strong>Background: </strong>There are more than two million people living with HIV (PLH) in India, with more than 30% on antiretroviral treatment (ART) estimated to be non-adherent. This study aimed to (I) document adherence rates and related factors among ART patients in a large ART clinic in India, and (II) pilot test daily and weekly interactive voice response (IVR) calls to improve ART adherence and related outcomes.</p><p><strong>Methods: </strong>ART patients reporting missing at least one dose in prior 6 months (N=362) were enrolled and assessed via self-report and medical record review. Participants were randomized to one of two conditions: (I) twice-daily IVR call reminders with self-management support messaging, plus a weekly IVR adherence assessment; or (II) an attention control, with only weekly IVR adherence assessment. Participants completed study assessments at baseline, 2-, 4-, and 6-months with high retention (88% to 96%).</p><p><strong>Results: </strong>Intention-to-treat analyses found limited support for intervention effects for improving or maintaining ART adherence or CD4 counts between the two study arms over 6-months follow-up. Adherence increased significantly in the six months prior to baseline from about 65% to >95% with perfect adherence based on pill counts from medical records and consistent with patient self-report measures, which presented ceiling effects for detecting improvements in ART adherence in response to IVR intervention exposure. There was also limited support for intervention effects on secondary, self-management outcomes.</p><p><strong>Conclusions: </strong>High levels of adherence were sustained throughout the 6-month RCT. IVR regulation changes in India delayed study launch for 6 months, which likely allowed mobilization of improved adherence at the clinic, provider and patient levels in anticipation of the study launch. Therefore, ceiling effects limited inferences on intervention effects to improve adherence. Results suggest that clinic-level adherence monitoring may be sufficient to mobilize adherence improvements by providers and patients.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov registration #NCT02118454.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"6 ","pages":"35"},"PeriodicalIF":2.2,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793015/pdf/mh-06-19-248a.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10754072","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":"Digital health approaches for cardiovascular diseases prevention and management: lessons from preliminary studies.","authors":"S. Islam, R. Maddison","doi":"10.21037/MHEALTH-2020-DHCD-06","DOIUrl":"https://doi.org/10.21037/MHEALTH-2020-DHCD-06","url":null,"abstract":"Recent advances in digital health technologies including electronic and mobile health platforms (eHealth and mHealth), telemedicine, wearable devices, sensors and artificial intelligence (AI) provide opportunities to improve access to and delivery of healthcare (1). Digital health services currently employ the use of digital technologies for the provision of health education and awareness (i.e., text messaging), remote monitoring and support (i.e., telerehabilitation), disease prediction (i.e., AI), and vital signs monitoring (i.e., wearable devices) (2). However, digital technologies have also been used as diagnostic tools—for example, machine learning and deep learning approaches for the detection of diabetic retinopathy and skin cancers (3). Along with the large datasets generated by electronic health records and medical devices, the global market for digital health has increased steadily over the past few years and projected to reach from USD $106 billion in 2019 to USD $639.4 billion in 2026 (4). These big data provide opportunities to understand disease trends, gain insights in patients’ health, better predict future health outcomes and support individual care. Cardiovascular diseases (CVD) has been at the forefront of digital health innovations. A systematic review and metaanalysis of 51 articles assessing the benefit of digital health on CVD showed that digital health interventions significantly reduced CVD outcomes (Relative Risk 0.61, 95% CI, 0.46–0.80) with concomitant reductions in weight (−2.77 lb, −4.49 to −1.05 lb) and body mass index (−0.17 kg/m, −0.32 to −0.01 kg/m) compared with usual care (5). In the six studies, 10-year risk percentages were also significantly improved (−1.24%; −1.73% to −0.76%). A recent individual patient data meta-analysis reported that text messaging program had a modest impact on blood pressure and body mass index (6). A systematic review of 14 articles assessing the cost-effectiveness of digital health interventions for CVD showed that all studies were cost-effective (7). Digital technologies offer significant opportunities for CVD prevention by promoting lifestyle change and adherence to healthy behaviours (8), early diagnosis, individualised management/supportive care and clinical decision support (9). Given the importance of technologies for the prevention and management of CVD, this special series is focused on recent developments in digital health for CVD. Five papers are presented in the series and are summarised below.","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 1","pages":"41"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48014915","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":"Real-time, simulation-enhanced interprofessional education in the care of older adults with multiple chronic comorbidities: a utilization-focused evaluation.","authors":"Charles Tilley, Janna Roitman, Kimberly P Zafra, M. Brennan","doi":"10.21037/MHEALTH-2019-RDM-06","DOIUrl":"https://doi.org/10.21037/MHEALTH-2019-RDM-06","url":null,"abstract":"Background\u0000Interprofessional education (IPE) is a curricular requirement for all healthcare professional education standards. To foster learning about, from and with each other, consistent with the Interprofessional Education Consortium's Core Competencies, many graduate schools are integrating interprofessional (IP) simulation experiences throughout their educational curricula, providing multiple opportunities for health professional students to collaborate and practice together. High-fidelity, real-time simulations help students from diverse professional backgrounds to apply their classroom learning in realistic clinical situations, utilize mobile technology to access clinical decision support (CDS) software, and receive feedback in a safe setting, ensuring they are practice-ready upon graduation.\u0000\u0000\u0000Methods\u0000New York University Rory Meyers College of Nursing (NYU) and Long Island University College of Pharmacy (LIU) partnered for two consecutive years to create, coordinate and implement two interprofessional educational simulations involving patients with chronic cardiovascular disease. A utilization-focused evaluation of high-fidelity, simulation-enhanced IPE (Sim-IPE) was implemented to assess students' IP competencies before and after their participation in the IPE-simulation and their overall satisfaction with the experience. The Interprofessional Collaborative Competency Attainment Survey (ICCAS), a reliable instrument, was administered to both doctor of pharmacy students and primary care advanced practice nursing students before and after each simulation experience. Additionally, student satisfaction surveys were administered following the IPE-simulation.\u0000\u0000\u0000Results\u0000Aggregated means revealed statistically significant improvements in each of the six domains including communication, collaboration, roles and responsibilities, collaborative patient/family approach, conflict resolution and team functioning. Student ratings revealed positive experiences with the IPE-simulations.\u0000\u0000\u0000Conclusions\u0000High-fidelity, real-time IPE-simulation is a powerful pedagogy to help graduate students from different professional backgrounds practice applying IP competencies in simulated experiences. Quality improvement studies and research studies are needed to assess the impact of high-fidelity, real-time simulations throughout graduate curricula with different types of patients to improve coordinated, team approaches to treatment.","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48871408","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":"Effectiveness of a mobile phone text messaging intervention on dietary behaviour in patients with type 2 diabetes: a post-hoc analysis of a randomised controlled trial.","authors":"S. Islam, E. George, R. Maddison","doi":"10.21037/MHEALTH-2019-DHCD-04","DOIUrl":"https://doi.org/10.21037/MHEALTH-2019-DHCD-04","url":null,"abstract":"Background\u0000Evidence suggests that mobile phone health (mHealth) programs may improve healthy behaviours and clinical outcomes in patients with type 2 diabetes mellitus (T2DM). However, data on mHealth dietary behaviour is scarce in low-and-middle-income countries. This study aims to determine the effectiveness of a text messaging program on dietary habits in patients with T2DM.\u0000\u0000\u0000Methods\u0000We performed a post-hoc analysis of a randomised controlled trial of text messaging intervention in 236 patients with T2DM recruited from a tertiary hospital. Data were collected on socio-demographics, mobile phone use, family and medical history, self-reported diseases, medication use, health-seeking behaviour, diet and physical activity. Dietary behaviour was assessed using a modified version of WHO STEPS and the Indian Migration Study Food Frequency Questionnaire. Intervention participants received one message/day over six months focusing on lifestyle modification. Dietary intake of fruits, vegetables, sugar beverages and teaspoons of sugar in tea/coffee were determined in serves-per-week and were analysed using Chi-square tests. Poisson regression models, adjusted for age, sex and baseline values following an intention-to-treat approach were performed and expressed as an estimate of effect size.\u0000\u0000\u0000Results\u0000At 6 months, the adjusted difference in vegetable consumption was -0.02 serves/week [95% confidence interval (CI): -0.11-0.06, P>0.05] and fruit intake was 0.02 serves/week (95% CI: -0.15-0.21, P>0.05). Consumption of sugar beverages reduced in both groups at 6 months with an adjusted difference of -0.34 serves/week (95% CI: -1.10-0.42, P>0.05). Teaspoons of sugar in tea reduced to 0.1±0.3 teaspoons/week in the control group, however, remained the same at 0.2±0.6 teaspoons/week in the intervention group with an adjusted difference of 0.94 teaspoons/week (95% CI: 0.04-1.84, P<0.05).\u0000\u0000\u0000Conclusions\u0000Our results suggest that a text messaging program did not significantly improve dietary behaviour in patients with T2DM. Further studies are warranted to explore the effectiveness of text messaging on dietary behaviour in adults with T2DM.\u0000\u0000\u0000Trial Registration\u0000German Clinical Trials Register DRKS00005188, http://www.drks.de.","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2020-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47563753","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":"Introduction to series on technology-based HIV prevention and care interventions for youth.","authors":"L. Hightow-Weidman","doi":"10.21037/MHEALTH-2019-TIHPCC-12","DOIUrl":"https://doi.org/10.21037/MHEALTH-2019-TIHPCC-12","url":null,"abstract":"","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 1","pages":"42"},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44612149","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":"Perceptions on using interactive voice response surveys for non-communicable disease risk factors in Uganda: a qualitative exploration.","authors":"E. Rutebemberwa, Juliana Namutundu, D. Gibson, A. Labrique, Joseph Ali, G. Pariyo, A. Hyder","doi":"10.21037/mhealth.2019.08.12","DOIUrl":"https://doi.org/10.21037/mhealth.2019.08.12","url":null,"abstract":"Background\u0000Decision-makers need up to date information on risk factors for effective prevention and control of non-communicable diseases (NCDs). Currently available surveys are infrequent and costly to implement. The objective of the study was to explore perceptions on using an interactive voice response (IVR) survey for data collection on NCD risk factors.\u0000\u0000\u0000Methods\u0000Five focus group discussions (FGDs), including rural and urban, elderly and young adults, male and female groups; and eleven key informant interviews (KIIs) of researchers and NCD policy makers were conducted. Respondents were audio recorded and data were transcribed into text. Data were entered into QDA miner software for analysis. Meaningful units were generated and then merged into codes and categories. Quotes are presented highlighting findings.\u0000\u0000\u0000Results\u0000At the individual level, age, gender, disability, past experience and being technology literate were perceived as key determinants on whether respondents would accept an IVR survey. Receiving the IVR at a time at which people are usually available to take calls increases participation. However, technological accessibility like presence of a mobile network signal and possession of mobile phones were critical for use of IVR. Participants recommended that community sensitization activities be provided, IVR be conducted at appropriate times and frequency, and that incentives may improve survey participation.\u0000\u0000\u0000Conclusions\u0000IVR has the potential to quickly collect data from a wide geographic scope. However, caution needs to be taken to ensure that certain categories of people are not excluded because of their location, ability, age or gender. Sensitization prior to the survey, proper timing and structured incentives could increase participation.","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"5 1","pages":"32"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/mhealth.2019.08.12","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45060318","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 <i>mHealth</i> in the canine assisted therapy: the proposal of a conceptual model for the wearable monitoring.","authors":"Daniele Giansanti, Giovanni Maccioni","doi":"10.21037/mhealth.2019.09.08","DOIUrl":"10.21037/mhealth.2019.09.08","url":null,"abstract":"<p><strong>Background: </strong>We are today assisting to: an increasing interest to both the animal assisted therapy (AAT) and to the pet quality of life and health. The animal-assisted therapy is an alternative or complementary type of therapy that involves animals as a form of treatment. Among the goals of AAT there is to improve a patient's psychological and physiological condition during the rehabilitation therapies. The increasing interest into the pet quality of life and health is a direct consequence of the recognition to its contribute to the society.</p><p><strong>Methods: </strong>Through an analysis of the literature the study investigated this field in order to derivate new models based on mHealth. Several studies showed the health benefits (psychological and physiological) for the human subject thanks to the AAT. Today, according to the new central position of the pet, the approach must be revised in a more general and bidirectional approach embedding the assessment of the health benefits contemporary for the two actors, human and pet.</p><p><strong>Results: </strong>The study highlights that the most commonly used types of AAT is the canine-assisted therapy (CAT). Among the most used CAT applications in psychological and physiological rehabilitation there are: the (I) <i>co-presence</i> during the dynamic activity (in particular the walking) and the (II) <i>co-presence</i> in the Area of living (mainly the home). The study focused to the CAT, introduces a conceptual model for the contemporary parameters monitoring of the two actors during the two applications (I,II) and able to provide a quantification of the utility of the CAT. It is based on to two sub-systems. The first sub-systems is a wearable mobile solution with kinematic sensors for the human and the dog monitoring in (I) during walking. The second sub-system, allowing the monitoring in (II), is based on RFID technology.</p><p><strong>Conclusions: </strong>After an analysis of the literature a new model for the CAT, based on kinematic sensors and RFID technology has been proposed and will be introduced in this field.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"5 ","pages":"51"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987329/pdf/mh-05-2019.09.08.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37627971","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":"Application of the CARE guideline as reporting standard in the <i>mHealth</i>.","authors":"","doi":"10.21037/mhealth.2019.10.02","DOIUrl":"https://doi.org/10.21037/mhealth.2019.10.02","url":null,"abstract":"","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"5 ","pages":"50"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/mhealth.2019.10.02","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37471452","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":"Mobilum-a new mobile app to engage visuospatial processing for the reduction of intrusive visual memories.","authors":"Henrik Kessler,&nbsp;Luisa Dangellia,&nbsp;Ralf Kessler,&nbsp;Vincent Mahnke,&nbsp;Stephan Herpertz,&nbsp;Aram Kehyayan","doi":"10.21037/mhealth.2019.09.15","DOIUrl":"https://doi.org/10.21037/mhealth.2019.09.15","url":null,"abstract":"<p><p>Intrusive memories are a key symptom of posttraumatic stress disorder (PTSD), a prevalent condition causing considerable personal suffering, and entailing large direct and indirect societal costs. While effective treatment options for PTSD exist, on a global scale they are not readily available to many patients in need. In the last years, several studies have shown that the computer game Tetris can reduce the frequency of intrusive memories in healthy subjects (after a trauma analogue), in populations at high risk of developing PTSD, as well as in patients already suffering from PTSD. The presumed mechanism behind this effect is that both Tetris and intrusions require-and therefore compete for-limited visuospatial working memory resources. In search for a new alternative tool that can engage visuospatial processing as effectively as Tetris, we developed a game named Mobilum. This is an app for Android devices, in which users have to rotate in an imaginative way around a translucent virtual cube in order to decide from which perspective a complex three-dimensional figure inside the cube is seen. Mobilum was developed to investigate whether the intrusion-reducing effect is exclusively inherent to Tetris, or if it can be achieved with another task engaging users in visuospatial processing. Also, unlike available versions of Tetris, Mobilum offers full control over key game parameters (e.g., difficulty, game duration), and is free of copyright and commercial issues. In this method paper, we describe the new Mobilum app, its theoretical background and development. Additionally, the first data on usability and feasibility are reported, as rated by N=16 inpatients. Finally, we will provide an outlook on the next steps necessary to investigate Mobilum's potential as a therapeutic tool.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"5 ","pages":"49"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/mhealth.2019.09.15","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37471453","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}