Telemedicine journal and e-health : the official journal of the American Telemedicine Association最新文献

{"title":"What Is the True Value of Peer-Reviewed Literature in Telemedicine?","authors":"Charles R Doarn","doi":"10.1089/tmj.2022.29079.editorial","DOIUrl":"https://doi.org/10.1089/tmj.2022.29079.editorial","url":null,"abstract":"","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1075-1076"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40624451","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":"Cardiovascular Disease Risk Stratification in Wrist Wearable Devices and e-Health App Users: A Large-Scale Retrospective Study.","authors":"Erdong Chen,&nbsp;Jie Jiang,&nbsp;Jing Zhou,&nbsp;Hui Wang,&nbsp;Guangxin Sun,&nbsp;Rui Zhou,&nbsp;Rui Su,&nbsp;Sainan Zhu,&nbsp;Yong Huo","doi":"10.1089/tmj.2021.0347","DOIUrl":"https://doi.org/10.1089/tmj.2021.0347","url":null,"abstract":"<p><p><b>Introduction:</b> Wearable devices, including smart wristbands and watches, are often used with e-health applications (apps). The users' characteristics of wrist wearable devices currently lack description, and the cardiovascular disease (CVD) high-risk rate of users remains unknown. <b>Purpose:</b> This study aimed to (1) describe the basic characteristics and habits of users of the \"Amazfit Health\" app and Huami wrist wearable devices and (2) analyze the proportion and define the population characteristics of users with a high risk of developing CVD. <b>Subjects and Methods:</b> This study included users >18 years of age, residing in mainland China, using the \"Amazfit Health\" app and Huami wearable devices. Devices data and users' self-reported information were collected in the app. The risk stratification was based on WHO/ISH cardiovascular risk prediction charts for the Western Pacific Region. Subjects with CVD history, total cholesterol ≥8 mmol/L, or ≥10% predicted CVD risk and those with <10% predicted CVD risk were considered to be at high and low risk of developing CVD, respectively. <b>Results:</b> Data were obtained from 80,098 (total users) and 10,866 users (subjects) for risk stratification. The age of the total users and subjects were 45.6 ± 15.4 and 50.7 ± 14.0 years, respectively. The number of male and female users was 50,024, and 30,074 in total users, and 7,284, and 3,582 in subjects, respectively. The body mass index of total users and subjects was 24.0 ± 4.6 kg/m² and 24.6 ± 3.8 kg/m², respectively. By classifying users' residences into first-tier cities, municipalities and provincial capitals, and other areas, the numbers of total users were 20,179, 28,213, and 31,137, and subjects were 2,587, 3,966, and 4,269, respectively. The number of subjects with high CVD risk was 1,161, accounting for 10.7% of all subjects. <b>Conclusions:</b> Users with high CVD risk only accounted for a small proportion of the population of wearable devices users.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1151-1158"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39747751","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 of a Telemedicine Screening Program During the COVID-19 Pandemic.","authors":"Eileen J Kim,&nbsp;Inna Kaminecki,&nbsp;Emily A Gaid,&nbsp;Michael Lopez,&nbsp;Megha Kalia,&nbsp;Jesse Zheng,&nbsp;Alexander Oliver,&nbsp;Hongyan Xu,&nbsp;Thomas J Kim,&nbsp;Desiree Seeyave,&nbsp;Phillip Coule,&nbsp;Matt Lyon","doi":"10.1089/tmj.2021.0313","DOIUrl":"https://doi.org/10.1089/tmj.2021.0313","url":null,"abstract":"<p><p><b>Background:</b> Telemedicine use increased during the COVID-19 pandemic due to concerns for patient and provider safety. Given the lack of testing resources initially and the large geographical range served by Augusta University (AU), a telemedicine platform with up-to-date screening guidelines was implemented for COVID-19 testing in March 2020. Our objective was to understand the level of adherence to telemedicine screening guidelines for COVID-19. <b>Methods:</b> The study population included health care providers and population who participated in an encounter in the AU Health Express Care virtual care program from March 22 to May 21, 2020. All encounters were intended to be for COVID-19 screening, free, and available 24 h per day, 7 days per week. Screening guidelines were developed by AU based on information from the Centers for Disease Control and Prevention and the Georgia Department of Public Health. <b>Results:</b> Among 17,801 total encounters, 13,600 were included in the final analysis. Overall adherence to screening guidelines was 71% in the adult population and 57% in the pediatric population. When providers did not follow guidelines, 72% determined that the patient should have a positive screen. Guidelines themselves determined that only 52% of encounters should have a positive screen. Providers' specialty significantly correlated with guideline adherence (<i>p</i> = 0.002). Departments with the highest adherence were psychiatry, neurology, and ophthalmology. No significant correlation was found between guideline adherence and provider degree/position. <b>Conclusions:</b> This study provides proof of concept of a free telehealth screening platform during an ongoing pandemic. Our screening experience was effective and different specialties participated. Our patient population lived in lower than average income zip codes, suggesting that our free telemedicine screening program successfully reached populations with higher financial barriers to health care. Early training and a posteriori knowledge of telemedicine was likely key to screening guideline adherence.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1199-1205"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39747989","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":"Telemedication Reviews to Optimize Medication Prescription for Older People in Nursing Homes.","authors":"Charlotte Berard,&nbsp;Thomas Di Mascio,&nbsp;Maeva Montaleytang,&nbsp;Anne Laure Couderc,&nbsp;Patrick Villani,&nbsp;Stephane Honoré,&nbsp;Aurelie Daumas,&nbsp;Florian Correard","doi":"10.1089/tmj.2021.0288","DOIUrl":"https://doi.org/10.1089/tmj.2021.0288","url":null,"abstract":"<p><p><b>Introduction:</b> Older people living in nursing homes (NH) are at a higher risk of preventable drug-related adverse events because of age-related physiological changes, polypathology, and polypharmacy. NH residents are particularly exposed to potentially inappropriate medications (PIMs). Many strategies have been developed to improve the quality and the safety of drug prescription in NH, including medication reviews (MRs). <b>Methods:</b> In the context of the application of telemedicine, we developed and are currently implementing a novel hospital expert-based MRs through tele-expertise (or \"telemedication review,\" telemedication reviews hereafter [TMR]) in French NH residents. The impact of these TMR on unplanned hospitalizations 3 months after implementation is assessed. TMR consider all available sociodemographic, clinical, biological, and pharmaceutical data pertaining to the patient and are performed in accordance with their health care objectives. <b>Results:</b> The preliminary results for the 39 TMRs performed to date (September 2021) showed that a total of 402 PIMs were detected, and all residents had at least one PIM. We also present the feasibility and the usefulness of this novel TMR for NH, illustrating these preliminary results with two concrete TMR experiences. Among the 39 TMR performed, the average acceptance rate of expert recommendations made to general practitioners (GP) working in NH was ∼33%. <b>Discussion and Conclusions:</b> The success of this novel TMR depends on how the proposed prescription adjustments made by the hospital expert team are subsequently integrated into health care practices. The low acceptance rate by GP highlights the need to actively involve these professionals in the process of developing TMR, with a view to encouraging them to act on proposed adjustments.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1225-1232"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39765097","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":"Telemedicine in Your Pocket: An Alternative Teleconsultation Tool in a Pandemic and in Resource-Poor Settings.","authors":"Shwetambara Malwade,&nbsp;Mallikarjun Marri,&nbsp;Rajendranath Gundamraj,&nbsp;Venkat Santosh Ramana Yerravalli,&nbsp;Raja Shekhar Bellamkonda,&nbsp;Acharyulu Gvrk,&nbsp;Ramaiah Itumalla,&nbsp;Shabbir Syed-Abdul","doi":"10.1089/tmj.2021.0443","DOIUrl":"https://doi.org/10.1089/tmj.2021.0443","url":null,"abstract":"<p><p><b>Introduction:</b> Owing to the coronavirus disease 2019 (COVID-19) pandemic, digitalization is booming in all sectors, including health care. This study provides evidence of using a social networking mobile app as a telemedicine tool during the pandemic in India. <b>Methods:</b> The data include telemedicine conversations of 318 COVID-19 patients who were consulted over WhatsApp during the period March 31 to April 16, 2021, and monitored during a quarantine period of 17 days. <b>Results:</b> In total, 2,089 consultations were made by these patients during the study period. Diagnostic reports and recommendations were suggested through WhatsApp 74 times, and 30 patients were advised to admit themselves to the hospital due to increasing symptom severity. <b>Conclusions</b>: WhatsApp efficiently helped remotely manage hundreds of patients, thereby avoiding unnecessary travel to hospitals. Future study implies the need to acquire information on patient satisfaction during the teleconsultations and further encourage applications of commonly used social networking apps as alternative tools for consultations during a pandemic situation.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1215-1219"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39836566","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":"Telepsychology May Improve Treatment Adherence in Patients with Psychogenic Nonepileptic Seizures.","authors":"Becky Bikat S Tilahun,&nbsp;Nicolas R Thompson,&nbsp;Jocelyn F Bautista,&nbsp;Lauren R Sankary,&nbsp;Susan Stanton,&nbsp;Vineet Punia","doi":"10.1089/tmj.2021.0463","DOIUrl":"https://doi.org/10.1089/tmj.2021.0463","url":null,"abstract":"<p><p><b>Introduction:</b> Access to mental health care is a significant challenge in patients with psychogenic nonepileptic seizures (PNES). Telepsychology can curb the access barriers and improve adherence but the role of telepsychology in improving adherence has not been well investigated. The current study examines the utility of telepsychology during the COVID-19 pandemic and treatment adherence in PNES patients. <b>Materials and Methods:</b> Patients with PNES admitted to a 12-week counseling program were offered two visit types: telepsychology and in-office. Visit type, visit status, and demographic information were obtained from department database. Follow-up visits in 6 months were used to examine the effect of visit type on visit status. Adherence to treatment was measured by higher attendance of scheduled visits and less cancellation and no-show rates. <b>Results:</b> Two hundred fifty-seven (<i>n</i>) patients who scheduled virtual or telepsychology visits were included in the study. After adjusting for demographic variables, and accounting for repeated measures, telepsychology visits were significantly more likely to be attended (odds ratio [OR] = 2.40, 95% confidence interval [CI] = 1.69-3.41, <i>p</i> < 0.001) and were significantly less likely to be canceled (OR = 0.43, 95% CI = 0.29-0.64, <i>p</i> < 0.001). The regression model showed patients in the telepsychology visit group attended more than three times as many visits as in-office patients (incidence rate ratios = 3.16, 95% CI = 2.13-4.73, <i>p</i> < 0.001). <b>Conclusions:</b> Patients with PNES have logistical and psychological barriers that can impede their ability to attend counseling treatment. Receiving care remotely may have been associated with higher engagement with mental health treatment compared to having to travel to counseling clinics. Considering the symptom-related restrictions patients with PNES have and the barriers presented by the COVID-19 pandemic, telepsychology played a key role for continuation of mental health treatment.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1159-1165"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39857171","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":"Current Status and Challenges of the Dissemination of Telemedicine in Japan After the Start of the COVID-19 Pandemic.","authors":"Shotaro Kinoshita,&nbsp;Taishiro Kishimoto","doi":"10.1089/tmj.2021.0336","DOIUrl":"https://doi.org/10.1089/tmj.2021.0336","url":null,"abstract":"Background: The use of telemedicine is expanding worldwide in response to the COVID-19 pandemic, and deregulation is occurring even in countries with strict regulations, such as Japan. Methods: We conducted a narrative review of the activities and initiatives undertaken by the government and professional organizations to promote the use of telemedicine in Japan from January 2020, when the COVID-19 pandemic began, to September 2021. Results: In Japan, where before the pandemic the spread of telemedicine had been limited, various recommendations and deregulations have now been made, resulting in the expanded use of telemedicine. In particular, the government's overall policy direction has become a catalyst for deregulation. Conclusions: With the COVID-19 pandemic, telemedicine is now moving toward widespread use. However, further activities and initiatives, including policy changes such as reimbursement and the establishment of evidence to show the effectiveness of telemedicine in Japan, are needed to properly disseminate telemedicine.","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1220-1224"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39596217","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":"An Observational Study of Disparities in Telemedicine Utilization in Primary Care Patients Before and During the COVID-19 Pandemic.","authors":"Veronica M Pagán,&nbsp;Katie S McClung,&nbsp;Carol J Peden","doi":"10.1089/tmj.2021.0412","DOIUrl":"https://doi.org/10.1089/tmj.2021.0412","url":null,"abstract":"<p><p><b>Background:</b> The rapid scale up of telemedicine due to the COVID-19 pandemic may have disadvantaged patients less able to use technology. <b>Objectives:</b> We tested the hypothesis that certain patient groups may have been disadvantaged in accessing primary care using telemedicine. <b>Design:</b> We compared visit type and patient characteristics for April-May 2019 with April-May 2020 at a large urban academic medical center. Variables of interest included age, gender, race, ethnicity, language, visit type, visit status, insurance type, and zip code to approximate average income. <b>Results</b>: There was a 5% increase in patient visits in the observation period from 2019 to 2020. Care shifted from 100% in person to 83% telemedicine, 60% of which occurred through video and 23% by telephone. In 2020, there was a significant increase in the percentage of older patients, patients of lower income, patients whose preferred language was not English, and patients without commercial insurance who accessed care. For patients who completed a telemedicine visit, racial minority status, Hispanic/Latino ethnicity, older age, and non-English language preference significantly increased the likelihood of a telephone visit compared with younger adult, white, non-Hispanic/Latino and English-preference patients. <b>Conclusions:</b> The increase in visits in 2020 and particularly visits by older, non-English preference and lower income patients, demonstrates that the telemedicine scale-up increased access and reached patients regardless of age, language, and income. However, varied usage of televideo and telephone visits for certain groups suggests the need to explore the differences between these modalities to ensure quality telemedicine care for all patients.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1117-1125"},"PeriodicalIF":4.7,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39623890","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":"COVID-19 Home Monitoring: An Institutional Approach to Bridging Care During a Pandemic.","authors":"Gregory J Wong,&nbsp;Katherine Douglas,&nbsp;Stephen Fuest,&nbsp;Peter J McDonnell,&nbsp;Nickole Forget","doi":"10.1089/tmj.2021.0317","DOIUrl":"https://doi.org/10.1089/tmj.2021.0317","url":null,"abstract":"<p><p><b><i>Introduction:</i></b> Coronavirus disease 2019 (COVID-19) has widened patient care gaps and created gaps in medical student clinical training. The care gaps are often most obvious in primary care medicine clinics (PCMCs) where residents and medical students care for a vulnerable population. <b><i>Materials and Methods:</i></b> We designed an outpatient telehealth program to support and monitor PCMC patients who had been diagnosed or were suspected to have COVID-19 and were confined to their homes due to public health mandated isolation. To support the program, we recruited medical student volunteers. We recruited patients from our institution's primary care clinic who were recently diagnosed with COVID-19 and were currently not hospitalized. Feasibility of the home monitoring program (HMP) was assessed and mortality data for all patients were collected. <b><i>Results:</i></b> Over 800 monitoring phone calls were placed during the 8-month study period to 296 patients, with an average of 2.79 calls per patient. A total of 30 medical students participated. A total of four patients died during the study period. <b><i>Conclusions:</i></b> Our institution was able to rapidly design and implement a COVID-19 HMP integrated with our primary care clinic to ensure continued access to care during a pandemic.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1044-1049"},"PeriodicalIF":4.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39808285","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 Implementation and Acceptability of a Combined Mobile Application with a COVID-19 at-Home Test Kit.","authors":"Adrian H Zai,&nbsp;Molly Caffrey,&nbsp;Conor S O'Brien,&nbsp;Dawei Jiang,&nbsp;Remona Kanyat,&nbsp;Sara Silacci","doi":"10.1089/tmj.2021.0487","DOIUrl":"https://doi.org/10.1089/tmj.2021.0487","url":null,"abstract":"<p><p><b><i>Introduction</i></b>: Testing facilities for COVID-19 were stood up around the country during the pandemic, but could not handle the demand. This study aimed to combine a mobile application (App) with an at-home test kit to facilitate home-based testing. <b><i>Methods</i></b>: After integrating an App with an at-home testing service, we measured the time between sample collection and notification of results. We recruited 92 volunteers to utilize the platform. <b><i>Results</i></b>: Sixty-one percent (55/92) responded to the survey. Median sample collection-to-result time was 2.2 days (IQR = 1.3-3.2). Eighty-two percent (45/55) found the self-test kit and App easy to use. Eighty-four percent agreed that the combined solution is an acceptable way to receive health care services. <b><i>Discussion</i></b>: Decreasing testing time and providing timely test results improve care access and decrease the risk of infection. Combining a tailored App with an at-home testing service is a feasible solution to reaching that goal.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"1064-1069"},"PeriodicalIF":4.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39807710","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}