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":"Decision fusion in healthcare and medicine: a narrative review.","authors":"Elham Nazari,&nbsp;Rizwana Biviji,&nbsp;Danial Roshandel,&nbsp;Reza Pour,&nbsp;Mohammad Hasan Shahriari,&nbsp;Amin Mehrabian,&nbsp;Hamed Tabesh","doi":"10.21037/mhealth-21-15","DOIUrl":"https://doi.org/10.21037/mhealth-21-15","url":null,"abstract":"<p><strong>Objective: </strong>To provide an overview of the decision fusion (DF) technique and describe the applications of the technique in healthcare and medicine at prevention, diagnosis, treatment and administrative levels.</p><p><strong>Background: </strong>The rapid development of technology over the past 20 years has led to an explosion in data growth in various industries, like healthcare. Big data analysis within the healthcare systems is essential for arriving to a value-based decision over a period of time. Diversity and uncertainty in big data analytics have made it impossible to analyze data by using conventional data mining techniques and thus alternative solutions are required. DF is a form of data fusion techniques that could increase the accuracy of diagnosis and facilitate interpretation, summarization and sharing of information.</p><p><strong>Methods: </strong>We conducted a review of articles published between January 1980 and December 2020 from various databases such as Google Scholar, IEEE, PubMed, Science Direct, Scopus and web of science using the keywords decision fusion (DF), information fusion, healthcare, medicine and big data. A total of 141 articles were included in this narrative review.</p><p><strong>Conclusions: </strong>Given the importance of big data analysis in reducing costs and improving the quality of healthcare; along with the potential role of DF in big data analysis, it is recommended to know the full potential of this technique including the advantages, challenges and applications of the technique before its use. Future studies should focus on describing the methodology and types of data used for its applications within the healthcare sector.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":" ","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800206/pdf/mh-08-21-15.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39934559","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":"Video and social rehabilitation of persons with mental illness helps to structure everyday life: a qualitative study.","authors":"Claus Ugilt Oestergaard,&nbsp;Helle Spindler,&nbsp;Birthe Dinesen","doi":"10.21037/mhealth-21-14","DOIUrl":"https://doi.org/10.21037/mhealth-21-14","url":null,"abstract":"<p><strong>Background: </strong>Living with a mental disorder has a significant impact on everyday life. In 2018, one out of every six adults, equivalent to 17.3% of the adult population of the European Union, had symptoms of mental disorders. This paper focus on social rehabilitation of patients with mental illness who have been discharged from hospital and who use video communication technologies in their rehabilitation in collaboration with their social worker. The aim of this study has been to explore the experiences of persons with mental illnesses who participated in a long-term video-based tele-social rehabilitation program, the Video Assist.</p><p><strong>Methods: </strong>The overall research strategy is the case study method. Data collection techniques are based on triangulation. Document analysis has been performed. Participant observation in homes of persons with mental using video with social workers (168 hours). Semi structured qualitative interviews with persons with mental illness (n=13) has been conducted lasting between 30 and 60 minutes. Data were analyzed using NVivo 10.0.</p><p><strong>Results: </strong>Experiences of persons with mental illness participating in the tele-social rehabilitation program are in themes: user friendly video technology, video created a new means of communication between citizen and social worker, feeling of surveillance by having the technology in the home, development of new coping strategies in everyday life and need for psychosocial support and training via the video technology.</p><p><strong>Conclusions: </strong>Persons with mental illness who are in a recovery process find that participating in a tele-social-rehabilitation program gives them a sense of mobility, security, surveillance but the ability to develop new coping strategies in their everyday lives. Future research is needed on long-term effects of tele-social rehabilitation for persons with mental illness.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":" ","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800196/pdf/mh-08-21-14.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39934555","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":"Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.","authors":"Ralph Jasper Mobbs,&nbsp;Jordan Perring,&nbsp;Suresh Mahendra Raj,&nbsp;Monish Maharaj,&nbsp;Nicole Kah Mun Yoong,&nbsp;Luke Wicent Sy,&nbsp;Rannulu Dineth Fonseka,&nbsp;Pragadesh Natarajan,&nbsp;Wen Jie Choy","doi":"10.21037/mhealth-21-17","DOIUrl":"https://doi.org/10.21037/mhealth-21-17","url":null,"abstract":"<p><strong>Background: </strong>Wearable sensors, particularly accelerometers alone or combined with gyroscopes and magnetometers in an inertial measurement unit (IMU), are a logical alternative for gait analysis. While issues with intrusive and complex sensor placement limit practicality of multi-point IMU systems, single-point IMUs could potentially maximize patient compliance and allow inconspicuous monitoring in daily-living. Therefore, this review aimed to examine the validity of single-point IMUs for gait metrics analysis and identify studies employing them for clinical applications.</p><p><strong>Methods: </strong>The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA) were followed utilizing the following databases: PubMed; MEDLINE; EMBASE and Cochrane. Four databases were systematically searched to obtain relevant journal articles focusing on the measurement of gait metrics using single-point IMU sensors.</p><p><strong>Results: </strong>A total of 90 articles were selected for inclusion. Critical analysis of studies was conducted, and data collected included: sensor type(s); sensor placement; study aim(s); study conclusion(s); gait metrics and methods; and clinical application. Validation research primarily focuses on lower trunk sensors in healthy cohorts. Clinical applications focus on diagnosis and severity assessment, rehabilitation and intervention efficacy and delineating pathological subjects from healthy controls.</p><p><strong>Discussion: </strong>This review has demonstrated the validity of single-point IMUs for gait metrics analysis and their ability to assist in clinical scenarios. Further validation for continuous monitoring in daily living scenarios and performance in pathological cohorts is required before commercial and clinical uptake can be expected.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":" ","pages":"9"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800203/pdf/mh-08-21-17.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39630569","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":"Longitudinal evaluation of an mHealth overweight and obesity management tool.","authors":"Ida Olivia Juhl Langkjær,&nbsp;Cilius Esmann Fonvig,&nbsp;Louise Aas Holm,&nbsp;Andreas Friis Pihl,&nbsp;Jens-Christian Holm","doi":"10.21037/mhealth-21-8","DOIUrl":"https://doi.org/10.21037/mhealth-21-8","url":null,"abstract":"<p><strong>Background: </strong>Efficient obesity treatment protocols are lacking. This study reports treatment results from a web-based application, originally developed for use in an in-person healthcare setting providing health, overweight, and obesity management.</p><p><strong>Methods: </strong>The web application DrHolmApp (WADHA) was evaluated in adult users two years after it was launched. The WADHA provides a personal and tailored treatment plan comprising a series of detailed action advices on everyday life, constructed from the user's input to a thorough online questionnaire. Throughout the subscription period, the WADHA users have full access to online healthcare professional support. We conducted a longitudinal cohort study using self-reported data.</p><p><strong>Results: </strong>This study included 940 adult WADHA users (861 female). The median body mass index (BMI) change across all WADHA users was -0.63 BMI points (95% CI: -0.7 to -0.57, P<0.001). 665 (71%) of all WADHA users reduced their BMI (median reduction: 0.94, 95% CI: 0.88 to 1.02). In the subset with obesity (n=675), BMI was reduced in 72%. The median number of days per week with physical activity for at least one hour per day increased with 1.5 days per week (from 2 days per week at baseline, P<0.001). Subsequently, the WADHA users improved their mood, quality of life, and body image satisfaction and reduced their appetite, bullying, and wish for weight loss (all P<0.001). A higher number of consultations associated with greater weight loss (P<0.001) independent of age and degree of obesity at treatment initiation.</p><p><strong>Conclusions: </strong>Seventy-one percent of the WADHA users experienced weight loss, concomitant to an increased level of physical activity, improved mood, quality of life, and body image satisfaction, and reduced appetite, degree of bullying, and wish for weight loss.</p><p><strong>Keywords: </strong>Body mass index (BMI); mobile health (mHealth); obesity; treatment; weight loss.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":" ","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800205/pdf/mh-08-21-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39934553","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":"Patient clinical documentation in telehealth environment: are we collecting appropriate and sufficient information for best practice?","authors":"Shannon H Houser,&nbsp;Cathy A Flite,&nbsp;Susan L Foster,&nbsp;Thomas J Hunt,&nbsp;Angela Morey,&nbsp;Miland N Palmer,&nbsp;Jennifer Peterson,&nbsp;Roberta Darnez Pope,&nbsp;Linda Sorensen","doi":"10.21037/mhealth-21-30","DOIUrl":"https://doi.org/10.21037/mhealth-21-30","url":null,"abstract":"<p><strong>Background: </strong>During the COVID-19 pandemic, the use of telehealth for patient visits grew rapidly and served an important role as a valuable and necessary resource. Although clinical documentation is critical for telehealth patient visits, there is limited information about how healthcare facilities manage telehealth patient visit documentation, technology used for telehealth visits, and challenges encountered with telehealth patient visit documentation. This study aimed to assess the use of telehealth during the pandemic, the quality of clinical documentation in telehealth practice and to identify challenges and issues encountered with telehealth patient visits in order to develop a strategy for best practices for telehealth documentation and data management.</p><p><strong>Methods: </strong>Data were collected for this cross-sectional study in January-February 2021 via a self-designed survey of administrators/managers from physicians' offices and mental health facilities. Survey questions included four categories: health organization demographic information; telehealth visits; clinical documentation for telehealth visit; and challenges and barriers related to telehealth documentation technology use.</p><p><strong>Results: </strong>Of 76 respondents, more than half (62%) of the healthcare facilities started using telehealth for patient visits within one year of the onset of the COVID-19 pandemic, with 94% of respondents indicating an increased use of telehealth for patient visits since the pandemic. The most common types of telehealth patient care provided during the pandemic included pediatrics, primary care, cardiology, and women's health. The most consistent data documentation of telehealth visits included: date of service, patient identification number, communication methods, patient informed consent, diagnosis and impression, evaluation results, and recommendations. The telehealth visit data was most commonly used for patient care and clinical practice, billing and reimbursement, quality improvement and patient satisfaction, and administrative planning. The top barriers to telehealth use by the healthcare professionals included patient challenges with telehealth services, such as inequities in quality of technology, lack of patient understanding, and lack of patient satisfaction; this was followed by frustration with constant updates of telehealth guidelines and procedures, understanding required telehealth documentation for reimbursement purposes, payer denial for telehealth visits, and legal and risk issues.</p><p><strong>Conclusions: </strong>Findings from this study can assist government entities, policymakers, and healthcare organizations in developing and advocating best practices in telehealth usage and clinical documentation improvement strategies.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":" ","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800202/pdf/mh-08-21-30.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39934557","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}