mHealth最新文献

{"title":"Key observations in terms of management of electronic health records from a mHealth perspective.","authors":"Varadraj P Gurupur","doi":"10.21037/mhealth-21-39","DOIUrl":"10.21037/mhealth-21-39","url":null,"abstract":"<p><p>The article is a narrative review that briefly describes some of the recent advances in healthcare data management that will have positive effect on mHealth. The advances described in this article are in fact innovation introduced by the author to the field of data management with respect to electronic health records. The research delineated is transdisciplinary in nature and will potentially have positive impact on healthcare outcomes. Also, the article illustrates the necessity for an out of the box thinking approach to improve mHealth while discussing the current impending issues related to data incompleteness of electronic health records and the much-needed decision support systems for mHealth. It is to be noted that most of the electronic health records are now accessed by patients through mobile devices. These mobile devices will run as clients while much of the heavy computing is performed using servers. Here it is important to discuss some of the important technologies and methods used for decision making. The article attempts to present a discussion on how this myriad of intertwining technologies support this decision making with respect to electronic health records. More importantly it is these processes that assist in decision making and efficiency for both mHealth users and providers. In this respect, the article first provides insights on the complexities of decision making involved with electronic health records. This is followed by a discussion on the problem of data incompleteness of electronic health records. Finally, the author provides some insights into the gravity of the problem of data incompleteness in terms of revenue loss/gain for healthcare providers.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"8 1","pages":"18"},"PeriodicalIF":2.2,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49575690","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 impact on secondary stroke prevention: a scoping review of randomized controlled trials among stroke survivors between 2010-2020.","authors":"Amelia K Adcock, Treah Haggerty, Anna Crawford, Cristal Espinosa","doi":"10.21037/mhealth-21-27","DOIUrl":"10.21037/mhealth-21-27","url":null,"abstract":"<p><strong>Background: </strong>A fundamental gap between clinical prevention and self-management awareness heightens the risk for stroke recurrence in approximately one-fourth of the highest risk stroke survivors annually. Secondary stroke prevention has the potential to be promoted by mobile health (mHealth) applications for effective real-world adoption of vascular risk factor mitigation. This scoping review aims to evaluate the impact of mHealth interventions and their effectiveness to reduce recurrent stroke rates among stroke survivors in randomized controlled trials (RCTs).</p><p><strong>Methods: </strong>Scoping review in Ovid Medline, Cochrane Library, CINAHL, and Scopus for RCT literature employing mHealth among stroke populations published in English from 2010 to November 19, 2020. Small or pilot studies that included randomized design were included.</p><p><strong>Results: </strong>A total of 352 abstracts met inclusion criteria; 31 full-text articles were assessed and 18 unique RCTs involving 1,453 patients ultimately fulfilled criteria. Twelve of 18 met the pre-defined primary outcome measure, including 2 studies evaluating feasibility. Eight of 18 only addressed recovery from index stroke deficits. Most outcomes focused on self-reported functional status, mood, quality of life or compliance with intervention; primary outcome was an objective metric in 4/18 (blood pressure readings, step number, obstructive sleep apnea support compliance). Intervention duration 2-12 months, with a median 9 weeks.</p><p><strong>Conclusions: </strong>No high-quality evidence supporting mHealth applications to reduce recurrent stroke was found in this scoping review. Overall, most studies were relatively small, heterogenous, and employed subjective primary outcome measures. mHealth's potential as an effective tool for stroke stakeholders to reduce recurrent stroke rates has not been sufficiently demonstrated in this review. Future randomized studies are needed that explicitly evaluate stroke recurrence rate.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"8 1","pages":"19"},"PeriodicalIF":2.2,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014232/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47920132","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":"Approaches for text mining of mHealth literature.","authors":"Bunyamin Ozaydin, Ferhat Zengul, Nurettin Oner, Dursun Delen","doi":"10.21037/mhealth-22-1","DOIUrl":"10.21037/mhealth-22-1","url":null,"abstract":"","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"8 1","pages":"11"},"PeriodicalIF":2.2,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44204456","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 prompts within diabetes prevention programs: a scoping review.","authors":"Megan M MacPherson, Kohle J Merry, Sean R Locke, Mary E Jung","doi":"10.21037/mhealth-21-22","DOIUrl":"10.21037/mhealth-21-22","url":null,"abstract":"<p><strong>Background: </strong>Mobile health (mHealth) prompts (e.g., text messaging, push notifications) are a commonly used technique within behaviour change interventions to prompt or cue a specific behaviour. Such prompts are being increasingly integrated into diabetes prevention programs (DPPs). While mHealth prompts provide a convenient and cost-effective way to reinforce behaviour change, no reviews to date have examined mHealth prompt use within DPPs. This scoping review aims to: (I) understand how mHealth prompts are being used within behaviour change interventions for individuals at risk for developing type 2 diabetes (T2D); and (II) provide recommendations for future mHealth prompt research, design, and application.</p><p><strong>Methods: </strong>The scoping review methodology outlined by Arksey and O'Malley were followed. Medline, CINAHL, PsycInfo, Web of Science, and SportDiscus were searched. The search strategy combined keywords relating to T2D risk and mHealth prompts in conjunction with database-controlled vocabulary when available (e.g., MeSH for Medline).</p><p><strong>Results: </strong>Of the 4,325 publications screened, 44 publications (based on 33 studies) met the inclusion criteria and were included for data extraction. Text messaging was the most widely used mHealth prompt (73%) followed by push notifications (21%). Only 30% of studies discussed the theoretical basis for prompt content and time of day messages were sent, and only 27% provided justification for prompt timing and frequency. Fourteen studies assessed participant satisfaction with mHealth prompts of which only two reported dissatisfaction due to either prompting frequency (hourly) or message content (solely focused on weight). Nine studies assessed behavioural outcomes including weight loss, physical activity, and diabetes incidence, and found mixed effects overall.</p><p><strong>Conclusions: </strong>While mHealth prompts were well-received by participants, there are mixed effects on the influence of mHealth prompts on behavioural outcomes and diabetes incidence. More thorough reporting of prompt content development and delivery is needed, and more experimental research is needed to identify optimal content, delivery characteristics, and impact on behavioural and clinical outcomes.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"8 1","pages":"20"},"PeriodicalIF":2.2,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43712852","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":"Validation of a novel mobile phone application for type 2 diabetes screening following gestational diabetes mellitus.","authors":"Helen B Gomez Slagle, Matthew K Hoffman, Richard Caplan, Philip Shlossman, Anthony C Sciscione","doi":"10.21037/mhealth-21-36","DOIUrl":"10.21037/mhealth-21-36","url":null,"abstract":"<p><strong>Background: </strong>We sought to determine if using fasting blood glucose (FBG) through text-based care is an effective screening tool for type 2 diabetes in the postpartum period compared to in-person, 2-hour oral glucose tolerance testing (2hr OGTT).</p><p><strong>Methods: </strong>This was a single-center interventional study that included individuals diagnosed with gestational diabetes. Patients were enrolled in standard, office-based 2hr OGTT in combination with text-based remote diabetes screening. Study participants were instructed to record FBG for 3 consecutive days using a mobile application. We assessed agreement with 2hr OGTT using sensitivity, specificity, positive and negative predictive value with exact binomial 95% confidence intervals.</p><p><strong>Results: </strong>A total of 446 individuals diagnosed with gestational diabetes met inclusion criteria, 239 of which were enrolled in standard office-based screening and 207 were enrolled in dual screening using standard 2hr OGTT testing combined with text-based remote FBG screening. A FBG value less than 100 mg/dL had 100% sensitivity (86-100%), 86% specificity (77-93%) with a 100% (94-100%) negative predictive value and 71% (54-85%) positive predictive value. Follow-up was significantly higher among individuals enrolled in remote text-based screening compared to standard in-office screening (48% <i>vs.</i> 25%, respectively; P<0.001).</p><p><strong>Conclusions: </strong>Text-based screening may be a feasible alternative to in-office screening. A mobile-based system using FBG successfully screened all patients with type 2 diabetes in the postpartum period with 100% sensitivity and negative predictive value. Remote telehealth screening significantly increased follow-up with type 2 diabetes screening.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"8 1","pages":"12"},"PeriodicalIF":2.2,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014228/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49549596","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":"Exploration of a Mobile Technology Vulnerability Scale's association with antiretroviral adherence among young adults living with HIV in the United States.","authors":"Parya Saberi,&nbsp;Shadi Eskaf,&nbsp;Chadwick K Campbell,&nbsp;Torsten B Neilands,&nbsp;John A Sauceda,&nbsp;Karine Dubé","doi":"10.21037/mhealth-21-54","DOIUrl":"https://doi.org/10.21037/mhealth-21-54","url":null,"abstract":"<p><strong>Background: </strong>Young adults living with HIV (YLWH) have suboptimal adherence to antiretroviral therapy (ART) and HIV care outcomes. Mobile health technologies are increasingly used to deliver interventions to address HIV health outcomes. However, not all YLWH have equal and consistent access to mobile technologies.</p><p><strong>Methods: </strong>Using our novel Mobile Technology Vulnerability Scale (MTVS) to evaluate how vulnerable an individual feels with regard to their personal access to mobile technology in the past 6 months, we conducted a cross-sectional online survey with 271 YLWH (18-29 years) in the US to evaluate the relationships between MTVS and self-reported ART adherence.</p><p><strong>Results: </strong>Participants reported changes in phone numbers (25%), stolen (14%) or lost (22%) phones, and disconnections of phone service due to non-payment (39%) in the past 6 months. On a scale of 0 to 1 (0 having no mobile technology vulnerability and 1 having complete mobile technology vulnerability), participants had a mean MTVS of 0.33 (SD =0.26). Black and financially constrained participants had the highest MTVS, which was significantly higher that other racial/ethnic and financially non-constrained groups, respectively. Higher MTVS was significantly associated with ART non-adherence and non-persistence.</p><p><strong>Conclusions: </strong>Findings suggest the need to measure MTVS to recognize pitfalls when using mobile health interventions and identify populations whose inconsistent mobile technology access may be related to worse health outcomes.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"8 ","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0e/e0/mh-08-21-54.PMC9343971.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9623311","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":"Technology-driven methodologies to collect qualitative data among youth to inform HIV prevention and care interventions.","authors":"Kristi E Gamarel,&nbsp;Rob Stephenson,&nbsp;Lisa Hightow-Weidman","doi":"10.21037/mhealth-2020-5","DOIUrl":"10.21037/mhealth-2020-5","url":null,"abstract":"<p><p>The use of technology as a platform for delivering HIV prevention interventions provides an efficient opportunity to reach those at risk for HIV with targeted and timely prevention and treatment messages. Technology-delivered HIV interventions are becoming increasingly popular and include interventions that use mobile text messaging and mobile phone apps or deliver prevention messages through telehealth platforms. Community-centered approaches of intervention development can help address the potential gap between science and practice by ensuring that interventions are appropriate and driven by community needs and desires. Common approaches to gaining community input rely on qualitative data gathered through in-person focus group discussions (FGD), in-depth interviews (IDI) and youth advisory boards (YABs). While these proven methodologies have strengths, youth engagement can be limited by structural barriers (e.g., lack of transportation, inconvenient timing) and reluctance to participate due to stigma or discomfort with group settings. This results in a number of biases that limit the quality of face-to-face qualitative data collection, i.e., social desirability bias or selection biases created by differential likelihood of recruitment and attendance. As an increasing number of HIV prevention and care interventions are successfully delivered online, innovative approaches to youth engagement in virtual spaces can also be applied across the intervention lifespan to increase the quality and validity of formative data. In this paper, we describe a range of qualitative data collection techniques that can be used via online platforms to collect qualitative data, and we outline their relative advantages over face-to-face FGD or IDI. We use four case studies to highlight the methodologies and findings and provide recommendations for researchers moving forward.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 ","pages":"34"},"PeriodicalIF":0.0,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063018/pdf/mh-07-2020-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9454859","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 to reduce HIV-related stigma among youth in the United States: a scoping review.","authors":"Marta I Mulawa, A Lina Rosengren, K Rivet Amico, Lisa B Hightow-Weidman, Kathryn E Muessig","doi":"10.21037/mhealth-20-68","DOIUrl":"10.21037/mhealth-20-68","url":null,"abstract":"<p><p>Multiple intersecting stigmas and discrimination related to sex, gender, HIV, and race/ethnicity may challenge HIV prevention and treatment service utilization, particularly among youth. This scoping review describes recent and ongoing innovative mobile health (mHealth) interventions among youth in the United States that aim to reduce stigma as an outcome or as part of the intervention model. To identify examples of stigma-mitigation via mHealth, we searched peer-reviewed published literature using keyword strategies related to mHealth, HIV, stigma, and youth (ages 10 to 29). We identified eleven articles that met our inclusion criteria, including three describing data from two randomized controlled trials (RCTs), five describing pilot studies, one describing the process evaluation of an ongoing intervention, one describing formative work for intervention development, and one published study protocol for an ongoing intervention. We review these articles, grouped by HIV prevention and care continuum stages, and describe the mHealth approach used, including telehealth, simulation video games, motion comics, smartphone applications (apps), social media forums, online video campaigns, video vignettes, and a computerized behavioral learning module. Four studies focused on preventing primary acquisition through individual-level behavior change (e.g., reducing condomless anal intercourse), three focused on increasing HIV testing, three focused on linking to prevention services [e.g., pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP)] and one focused on promoting adherence to antiretroviral therapy (ART). Our review did not identify any published studies using mHealth with a primary aim to reduce stigma as a way to improve care engagement and increase viral suppression among youth in the United States. Additional RCTs and implementation studies examining the effectiveness of mHealth stigma-reduction interventions on HIV-related outcomes are needed to end the HIV epidemic among youth. mHealth offers unique advantages to address the complex intersecting stigma barriers along the HIV continuum to improve HIV-related outcomes for youth.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 ","pages":"35"},"PeriodicalIF":2.2,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063007/pdf/mh-07-20-68.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9438761","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 for transgender and gender-expansive youth: harnessing gender-affirmative cross-disciplinary innovations to advance HIV prevention and care interventions.","authors":"Simone J Skeen, Demetria Cain, Kristi E Gamarel, Lisa Hightow-Weidman, Cathy J Reback","doi":"10.21037/mhealth-20-60","DOIUrl":"10.21037/mhealth-20-60","url":null,"abstract":"<p><p>Transgender and gender-expansive (TGE) youth endure stark disparities in health and wellbeing compared to their cisgender peers. A key social determinant of health for TGE adolescents and emerging adults is gender affirmation, which encompasses multidimensional validations of an individual's lived gender. Lacking available resources for one's gender affirmation, TGE young people may engage in high-risk maladaptive coping behaviors, linked to their disproportionately high HIV-acquisition risk. A range of innovative mobile technologies are guided by the Gender-Affirmative Framework to promote the health of TGE communities, including through HIV prevention and care continuum outcomes. The aim of this review was to examine key features of existing mobile technologies that can be leveraged to advance the field of TGE-responsive mHealth. We systematically searched scientific records, gray literature, and the iOS and Android app distribution services. To be eligible, platforms and interventions needed to be tailored exclusively to a TGE user base, incorporate gender-affirming features, and be optimized for or adaptive to mobile technologies. Eligible interventions (N=24) were compared on evidence of utility, core functionalities, and dimensions of gender affirmation. Smartphone applications (apps) and webapps (n=16) were the most common delivery modality. Many interventions (n=9) aimed to address HIV-related outcomes and integrated gender-affirmative features. The most common gender-affirmative features originated in fields of human-computer interactions and informatics, or were crowdfunded by TGE developers. HIV-focused interventions incorporated evidence-based health behavior change strategies and utilized rigorous evaluation methods. Across modalities and disciplines, behavioral self-monitoring and access to HIV prevention services were the most frequent features. Over two-thirds of the interventions reviewed aimed to provide medical gender affirmation (e.g, provided guidance on obtaining medically sanctioned hormone therapies, or safely practicing non-medical options such as chest-binding) or psychological gender affirmation (e.g, provided linkage to mental health counseling). Our results show that mHealth and other technology-mediated interventions offer a diverse range of both evidence-based and innovative features; however, many have not been rigorously evaluated in a randomized controlled trial to support TGE users. A continuing commitment to evidence-based health behavior change strategies, exemplified by the HIV-focused interventions included in this review, is essential to advancing gender-affirmative mHealth. The unique and highly innovative features of platforms originating outside the fields of HIV prevention and care suggest new directions for TGE-responsive mHealth, and the need for more conscientious models of knowledge exchange with investigators across scientific disciplines, private-sector developers, and potential users.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 ","pages":"37"},"PeriodicalIF":2.2,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063017/pdf/mh-07-20-60.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9438762","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 usefulness of the Electronic Patient Visit Assessment (ePVA)^© as a clinical support tool for real-time interventions in head and neck cancer.","authors":"Janet H Van Cleave, Mei R Fu, Antonia V Bennett, Catherine Concert, Ann Riccobene, Anh Tran, Allison Most, Maria Kamberi, Jacqueline Mojica, Justin Savitski, Elise Kusche, Mark S Persky, Zujun Li, Adam S Jacobson, Kenneth S Hu, Michael J Persky, Eva Liang, Patricia M Corby, Brian L Egleston","doi":"10.21037/mhealth-19-250","DOIUrl":"10.21037/mhealth-19-250","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Patients with head and neck cancer (HNC) experience painful, debilitating symptoms and functional limitations that can interrupt cancer treatment, and decrease their health-related quality of life (HRQoL). The Electronic Patient Visit Assessment (ePVA) for head and neck is a web-based mHealth patient-reported measure that asks questions about 21 categories of symptoms and functional limitations common to HNC. This article presents the development and usefulness of the ePVA as a clinical support tool for real-time interventions for patient-reported symptoms and functional limitations in HNC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Between January 2018 and August 2019, 75 participants were enrolled in a clinical usefulness study of the ePVA. Upon signing informed consent, participants completed the ePVA and the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ) general (C30) questionnaire v3.0 (scores range from 0 to 100 with 100 representing best HRQoL). Clinical usefulness of the ePVA was defined as demonstration of reliability, convergent validity with HRQoL, and acceptability of the ePVA (i.e., &gt;70% of eligible participants complete the ePVA at two or more visits and &gt;70% of ePVA reports are read by providers). Formal focus group discussions with the interdisciplinary team that cared for patients with HNC guided the development of the ePVA as a clinical support tool. Qualitative and quantitative methods were used throughout the study. Descriptive statistics consisting of means and frequencies, Pearson correlation coefficient, and Student's t-tests were calculated using SAS 9.4 and STATA.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The participants were primarily male (71%), White (76%), diagnosed with oropharyngeal or oral cavity cancers (53%), and undergoing treatment for HNC (69%). Data analyses supported the reliability (alpha =0.85), convergent validity with HRQoL scores, and acceptability of the ePVA. Participants with the highest number of symptoms and functional limitations reported significantly worse HRQoL (sum of symptoms: r=-0.50, P&lt;0.0001; sum of function limitations: r=-0.56, P&lt;0.0001). Ninety-two percent of participants (59 of 64) who had follow-up visits within the 6-month study period completed the ePVA at two or more visits and providers read 89% (169 of 189) of automated ePVA reports. The use of the ePVA as a clinical support tool for real-time interventions for symptoms and functional limitations reported by patients is described in a clinical exemplar.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This research indicates that the ePVA may be a useful mHealth tool as a clinical support tool for real-time interventions for patient-reported symptoms and functional limitations in HNC. The study findings support future translational research to enhance the usefulness of the ePVA in real world settings for early interventions that decrease symptom burden and improve the QoL of ","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"7 ","pages":"7"},"PeriodicalIF":2.2,"publicationDate":"2021-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882269/pdf/mh-07-19-250.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10445072","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}