Pub Date : 2024-05-01Epub Date: 2022-03-11DOI: 10.1177/1357633X221086067
Andrew D Bryant, Tommy J Robinson, Jeydith T Gutierrez-Perez, Bradley L Manning, Kevin Glenn, Katherine L Imborek, Ethan F Kuperman
Introduction: Telemedicine serves as a viable option during the COVID-19 pandemic to provide in-home care, maintain home isolation precautions, reduce unnecessary healthcare exposures, and de-burden hospitals.
Methods: We created a novel telemedicine program to closely monitor patients infected with SARS-CoV-2 (COVID-19) at home. Adult patients with COVID-19 were enrolled in the program at the time of documented infection. Patients were followed by a team of providers via telephone or video visits at frequent intervals until resolution of their acute illness. Additionally, patients were stratified into high-risk and low-risk categories based on demographics and underlying comorbidities. The primary outcome was hospitalization after enrollment in the home monitoring program, including 30 days after discharge from the program.
Results: Over a 3.5-month period, 1128 patients met criteria for enrollment in the home monitoring program. 30.7% were risk stratified as high risk for poor outcomes based on their comorbidities and age. Of the 1128 patients, 6.2% required hospitalization and 1.2% required ICU admission during the outcome period. Hospitalization was more frequent in patients identified as high risk (14.2% vs 2.7%, P < 0.001).
Discussion: Enrollment in a home monitoring program appears to be an effective and sustainable modality for the ambulatory management of COVID-19.
{"title":"Outcomes of a home telemonitoring program for SARS-CoV-2 viral infection at a large academic medical center.","authors":"Andrew D Bryant, Tommy J Robinson, Jeydith T Gutierrez-Perez, Bradley L Manning, Kevin Glenn, Katherine L Imborek, Ethan F Kuperman","doi":"10.1177/1357633X221086067","DOIUrl":"10.1177/1357633X221086067","url":null,"abstract":"<p><strong>Introduction: </strong>Telemedicine serves as a viable option during the COVID-19 pandemic to provide in-home care, maintain home isolation precautions, reduce unnecessary healthcare exposures, and de-burden hospitals.</p><p><strong>Methods: </strong>We created a novel telemedicine program to closely monitor patients infected with SARS-CoV-2 (COVID-19) at home. Adult patients with COVID-19 were enrolled in the program at the time of documented infection. Patients were followed by a team of providers via telephone or video visits at frequent intervals until resolution of their acute illness. Additionally, patients were stratified into high-risk and low-risk categories based on demographics and underlying comorbidities. The primary outcome was hospitalization after enrollment in the home monitoring program, including 30 days after discharge from the program.</p><p><strong>Results: </strong>Over a 3.5-month period, 1128 patients met criteria for enrollment in the home monitoring program. 30.7% were risk stratified as high risk for poor outcomes based on their comorbidities and age. Of the 1128 patients, 6.2% required hospitalization and 1.2% required ICU admission during the outcome period. Hospitalization was more frequent in patients identified as high risk (14.2% vs 2.7%, <i>P</i> < 0.001).</p><p><strong>Discussion: </strong>Enrollment in a home monitoring program appears to be an effective and sustainable modality for the ambulatory management of COVID-19.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"1 1","pages":"675-680"},"PeriodicalIF":4.7,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41459562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2022-05-10DOI: 10.1177/1357633X221093434
Albert Koulman, Kirsten L Rennie, Damon Parkington, Carina Sb Tyrrell, Michael Catt, Effrossyni Gkrania-Klotsas, Nicholas J Wareham
Introduction: The ability to collect blood samples remotely without the involvement of healthcare professionals is a key element of future telehealth applications. We developed and validated the application of the Drawbridge OneDraw device for use at home for blood sample collection. The device was then applied in a large population-based remote monitoring study to assess changes in SARS-CoV-2 IgG antibody levels.
Methods: We tested: (1) feasibility of participants using the device at home without a healthcare professional on the upper arm and thigh sites (2) stability of the dried blood sample collected remotely (3) participant acceptability of the device compared with finger-prick and venous blood samples and the validity of SARS-CoV-2 virus antibody measurement versus venous blood sample (4) application to the Fenland COVID-19 study in which 4023 participants at 3 timepoints across 6 months.
Results: Participant acceptability was high, with a significantly lower median perceived pain score and 76% of participants preferring the OneDraw device over the other blood collection methods. There was high level of agreement in SARS-CoV-2 virus antibody results with venous blood samples in 120 participants (Cohen's kappa 0.68 (95% CI 0.56, 0.83). In the Fenland COVID-19 study, 92% of participants returned a sample at baseline (3702/4023), 89% at 3 months (3492/3918) and 93% at 6 months (3453/3731), with almost all samples received successfully processed (99.9%).
Discussion: The OneDraw device enables a standardised blood sample collection at home by participants themselves. Due to its ease-of-use and acceptability the OneDraw device is particularly useful in telehealth approaches where multiple samples need to be collected.
{"title":"The development, validation and application of remote blood sample collection in telehealth programmes.","authors":"Albert Koulman, Kirsten L Rennie, Damon Parkington, Carina Sb Tyrrell, Michael Catt, Effrossyni Gkrania-Klotsas, Nicholas J Wareham","doi":"10.1177/1357633X221093434","DOIUrl":"10.1177/1357633X221093434","url":null,"abstract":"<p><strong>Introduction: </strong>The ability to collect blood samples remotely without the involvement of healthcare professionals is a key element of future telehealth applications. We developed and validated the application of the Drawbridge OneDraw device for use at home for blood sample collection. The device was then applied in a large population-based remote monitoring study to assess changes in SARS-CoV-2 IgG antibody levels.</p><p><strong>Methods: </strong>We tested: (1) feasibility of participants using the device at home without a healthcare professional on the upper arm and thigh sites (2) stability of the dried blood sample collected remotely (3) participant acceptability of the device compared with finger-prick and venous blood samples and the validity of SARS-CoV-2 virus antibody measurement versus venous blood sample (4) application to the Fenland COVID-19 study in which 4023 participants at 3 timepoints across 6 months.</p><p><strong>Results: </strong>Participant acceptability was high, with a significantly lower median perceived pain score and 76% of participants preferring the OneDraw device over the other blood collection methods. There was high level of agreement in SARS-CoV-2 virus antibody results with venous blood samples in 120 participants (Cohen's kappa 0.68 (95% CI 0.56, 0.83). In the Fenland COVID-19 study, 92% of participants returned a sample at baseline (3702/4023), 89% at 3 months (3492/3918) and 93% at 6 months (3453/3731), with almost all samples received successfully processed (99.9%).</p><p><strong>Discussion: </strong>The OneDraw device enables a standardised blood sample collection at home by participants themselves. Due to its ease-of-use and acceptability the OneDraw device is particularly useful in telehealth approaches where multiple samples need to be collected.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"731-738"},"PeriodicalIF":4.7,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11027437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10586851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1177/1357633x241245161
Nathaniel E Miller, Frederick North, Elizabeth N Curry, Matthew C Thompson, Jennifer L Pecina
IntroductionOnline symptom checkers are a way to address patient concerns and potentially offload a burdened healthcare system. However, safety outcomes of self-triage are unknown, so we reviewed triage recommendations and outcomes of our institution's depression symptom checker.MethodsWe examined endpoint recommendations and follow-up encounters seven days afterward during 2 December 2021 to 13 December 2022. Patients with an emergency department visit or hospitalization within seven days of self-triaging had a manual review of the electronic health record to determine if the visit was related to depression, suicidal ideation, or suicide attempt. Charts were reviewed for deaths within seven days of self-triage.ResultsThere were 287 unique encounters from 263 unique patients. In 86.1% (247/287), the endpoint was an instruction to call nurse triage; in 3.1% of encounters (9/287), instruction was to seek emergency care. Only 20.2% (58/287) followed the recommendations given. Of the 229 patients that did not follow the endpoint recommendations, 121 (52.8%) had some type of follow-up within seven days. Nearly 11% (31/287) were triaged to endpoints not requiring urgent contact and 9.1% (26/287) to an endpoint that would not need any healthcare team input. No patients died in the study period.ConclusionsMost patients did not follow the recommendations for follow-up care although ultimately most patients did receive care within seven days. Self-triage appears to appropriately sort patients with depressed mood to emergency care. On-line self-triaging tools for depression have the potential to safely offload some work from clinic personnel.
{"title":"Recommendation endpoints and safety of an online self-triage for depression symptoms","authors":"Nathaniel E Miller, Frederick North, Elizabeth N Curry, Matthew C Thompson, Jennifer L Pecina","doi":"10.1177/1357633x241245161","DOIUrl":"https://doi.org/10.1177/1357633x241245161","url":null,"abstract":"IntroductionOnline symptom checkers are a way to address patient concerns and potentially offload a burdened healthcare system. However, safety outcomes of self-triage are unknown, so we reviewed triage recommendations and outcomes of our institution's depression symptom checker.MethodsWe examined endpoint recommendations and follow-up encounters seven days afterward during 2 December 2021 to 13 December 2022. Patients with an emergency department visit or hospitalization within seven days of self-triaging had a manual review of the electronic health record to determine if the visit was related to depression, suicidal ideation, or suicide attempt. Charts were reviewed for deaths within seven days of self-triage.ResultsThere were 287 unique encounters from 263 unique patients. In 86.1% (247/287), the endpoint was an instruction to call nurse triage; in 3.1% of encounters (9/287), instruction was to seek emergency care. Only 20.2% (58/287) followed the recommendations given. Of the 229 patients that did not follow the endpoint recommendations, 121 (52.8%) had some type of follow-up within seven days. Nearly 11% (31/287) were triaged to endpoints not requiring urgent contact and 9.1% (26/287) to an endpoint that would not need any healthcare team input. No patients died in the study period.ConclusionsMost patients did not follow the recommendations for follow-up care although ultimately most patients did receive care within seven days. Self-triage appears to appropriately sort patients with depressed mood to emergency care. On-line self-triaging tools for depression have the potential to safely offload some work from clinic personnel.","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"76 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1177/1357633x241245459
Sara Ternes, Lauren Lavin, J Priyanka Vakkalanka, Heather S Healy, Kimberly AS Merchant, Marcia M Ward, Nicholas M Mohr
IntroductionThe COVID-19 public health emergency led to an unprecedented rapid increase in telehealth use, but the role of telehealth in reducing disparities in access to care has been questioned. The objective of this study was to conduct a systematic review to summarize the available evidence on how telehealth during the COVID-19 pandemic was associated with telehealth utilization for minority groups and its role in health disparities.MethodsWe conducted a systematic review focused on health equity and access to care by searching for interventional and observational studies using the following four search domains: telehealth, COVID-19, health equity, and access to care. We searched PubMed, Embase, Cochrane CENTRAL, CINAHL, telehealth.hhs.gov, and the Rural Health Research Gateway, and included any study that reported quantitative results with a control group.ResultsOur initial search yielded 1970 studies, and we included 48 in our final review. The most common dimensions of health equity studied were race/ethnicity, rurality, insurance status, language, and socioeconomic status, and the telehealth applications studied were diverse. Included studies had a moderate risk of bias. In aggregate, most studies reported increased telehealth use during the pandemic, with the greatest increase in non-minority populations, including White, younger, English-speaking people from urban areas.DiscussionWe found that despite rapid adoption and increased telehealth use during the public health emergency, telehealth did not reduce existing disparities in access to care. We recommend that future work measuring the impact of telehealth focus on equity so that features of telehealth innovation can reduce disparities in health outcomes.
导言：COVID-19 公共卫生紧急事件导致远程医疗的使用出现了前所未有的快速增长，但远程医疗在减少医疗机会差异方面的作用却受到了质疑。本研究旨在开展一项系统性综述，总结在 COVID-19 大流行期间远程医疗如何与少数群体的远程医疗利用率及其在健康差异中的作用相关的现有证据。方法我们开展了一项系统性综述，重点关注健康公平和医疗服务的获取，使用以下四个检索域搜索干预性和观察性研究：远程医疗、COVID-19、健康公平和医疗服务的获取。我们检索了 PubMed、Embase、Cochrane CENTRAL、CINAHL、telehealth.hhs.gov 和 Rural Health Research Gateway，并纳入了所有报告了定量结果并设有对照组的研究。所研究的最常见的健康公平维度是种族/民族、乡村、保险状况、语言和社会经济状况，所研究的远程医疗应用也多种多样。纳入的研究存在中度偏倚风险。讨论我们发现，尽管在公共卫生突发事件期间远程医疗得到了迅速采用，使用率也有所提高，但远程医疗并没有减少现有的医疗服务差距。我们建议，未来衡量远程保健影响的工作应关注公平性，从而使远程保健创新的特点能够减少健康结果方面的差距。
{"title":"The role of increasing synchronous telehealth use during the COVID-19 pandemic on disparities in access to healthcare: A systematic review","authors":"Sara Ternes, Lauren Lavin, J Priyanka Vakkalanka, Heather S Healy, Kimberly AS Merchant, Marcia M Ward, Nicholas M Mohr","doi":"10.1177/1357633x241245459","DOIUrl":"https://doi.org/10.1177/1357633x241245459","url":null,"abstract":"IntroductionThe COVID-19 public health emergency led to an unprecedented rapid increase in telehealth use, but the role of telehealth in reducing disparities in access to care has been questioned. The objective of this study was to conduct a systematic review to summarize the available evidence on how telehealth during the COVID-19 pandemic was associated with telehealth utilization for minority groups and its role in health disparities.MethodsWe conducted a systematic review focused on health equity and access to care by searching for interventional and observational studies using the following four search domains: telehealth, COVID-19, health equity, and access to care. We searched PubMed, Embase, Cochrane CENTRAL, CINAHL, telehealth.hhs.gov, and the Rural Health Research Gateway, and included any study that reported quantitative results with a control group.ResultsOur initial search yielded 1970 studies, and we included 48 in our final review. The most common dimensions of health equity studied were race/ethnicity, rurality, insurance status, language, and socioeconomic status, and the telehealth applications studied were diverse. Included studies had a moderate risk of bias. In aggregate, most studies reported increased telehealth use during the pandemic, with the greatest increase in non-minority populations, including White, younger, English-speaking people from urban areas.DiscussionWe found that despite rapid adoption and increased telehealth use during the public health emergency, telehealth did not reduce existing disparities in access to care. We recommend that future work measuring the impact of telehealth focus on equity so that features of telehealth innovation can reduce disparities in health outcomes.","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"8 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1177/1357633x241247245
Jaimee Herbert, Tracy Schumacher, Leanne J Brown, Erin D Clarke, Clare E Collins
IntroductionImproving dietary patterns using medical nutrition therapy delivered via telehealth could make an effective contribution to reducing cardiovascular disease burden in rural Australia. However, it is important that medical nutrition therapy programmes are developed in collaboration with rural stakeholders, to increase feasibility for the rural context and the likelihood of successful implementation. The aim of this study was to evaluate the preliminary feasibility outcomes of integration (implementation), practicality, acceptability, demand, and preliminary effectiveness at the 3-month timepoint of the Healthy Rural Hearts randomised control trial.MethodsFeasibility measures were collected from participants in the Healthy Rural Hearts medical nutrition therapy trial. Study participants were patients from eligible primary care practices who had been assessed by their general practitioner as being at moderate to high risk of developing cardiovascular disease in the next five years. The sample in this analysis includes those who had completed the first 3-months of the study. Feasibility outcomes were measured over the first 3-months of the trial intervention. A process evaluation survey was used to collect measures relating to intervention implementation, practicality, acceptability, and demand. Completion rates of the Australian Eating Survey Heart version, Personalised Nutrition Questionnaire, pathology tests and telehealth medical nutrition therapy consultations delivered by Accredited Practising Dietitians were also used to measure intervention practicality. Preliminary effectiveness was evaluated by comparing the intervention group’s dietary change, measured using Australian Eating Survey Heart with data from the control group.ResultsA total of 105 participants (75 intervention, 30 control participants) were eligible for inclusion in analysis. Attendance rates at the first 3-months of dietitian consultations ranged from 94.7% to 89.3% between the first and 3-month consultations, and most participants were able to complete the Australian Eating Survey Heart and Personalised Nutrition Questionnaire prior to their initial consultation [Australian Eating Survey Heart ( n = 57, 76%) and Personalised Nutrition Questionnaire ( n = 61, 81.3%)] and the Australian Eating Survey Heart prior to their 3-month consultation ( n = 52, 69.3%). Of the participants who completed a pathology test at the 3-month time-point ( n = 54, 72%), less than half were able to do so prior to their dietitian consultation ( n = 35, 46.7%). Of the 75 intervention participants, 28 (37.3%) completed the process evaluation survey. Intervention participants ranked acceptability of the Healthy Rural Hearts intervention highly (mean rank out of 10 = 9.5, SD 1.9), but provided mixed responses on whether they would access the intervention outside of the study (mean rank out of 10 = 6.0, SD 3.5). There were statistically significant increases in percentage total energy intake d
{"title":"Healthy rural hearts: The feasibility of a telehealth nutrition randomised controlled trial for rural people at risk of cardiovascular disease","authors":"Jaimee Herbert, Tracy Schumacher, Leanne J Brown, Erin D Clarke, Clare E Collins","doi":"10.1177/1357633x241247245","DOIUrl":"https://doi.org/10.1177/1357633x241247245","url":null,"abstract":"IntroductionImproving dietary patterns using medical nutrition therapy delivered via telehealth could make an effective contribution to reducing cardiovascular disease burden in rural Australia. However, it is important that medical nutrition therapy programmes are developed in collaboration with rural stakeholders, to increase feasibility for the rural context and the likelihood of successful implementation. The aim of this study was to evaluate the preliminary feasibility outcomes of integration (implementation), practicality, acceptability, demand, and preliminary effectiveness at the 3-month timepoint of the Healthy Rural Hearts randomised control trial.MethodsFeasibility measures were collected from participants in the Healthy Rural Hearts medical nutrition therapy trial. Study participants were patients from eligible primary care practices who had been assessed by their general practitioner as being at moderate to high risk of developing cardiovascular disease in the next five years. The sample in this analysis includes those who had completed the first 3-months of the study. Feasibility outcomes were measured over the first 3-months of the trial intervention. A process evaluation survey was used to collect measures relating to intervention implementation, practicality, acceptability, and demand. Completion rates of the Australian Eating Survey Heart version, Personalised Nutrition Questionnaire, pathology tests and telehealth medical nutrition therapy consultations delivered by Accredited Practising Dietitians were also used to measure intervention practicality. Preliminary effectiveness was evaluated by comparing the intervention group’s dietary change, measured using Australian Eating Survey Heart with data from the control group.ResultsA total of 105 participants (75 intervention, 30 control participants) were eligible for inclusion in analysis. Attendance rates at the first 3-months of dietitian consultations ranged from 94.7% to 89.3% between the first and 3-month consultations, and most participants were able to complete the Australian Eating Survey Heart and Personalised Nutrition Questionnaire prior to their initial consultation [Australian Eating Survey Heart ( n = 57, 76%) and Personalised Nutrition Questionnaire ( n = 61, 81.3%)] and the Australian Eating Survey Heart prior to their 3-month consultation ( n = 52, 69.3%). Of the participants who completed a pathology test at the 3-month time-point ( n = 54, 72%), less than half were able to do so prior to their dietitian consultation ( n = 35, 46.7%). Of the 75 intervention participants, 28 (37.3%) completed the process evaluation survey. Intervention participants ranked acceptability of the Healthy Rural Hearts intervention highly (mean rank out of 10 = 9.5, SD 1.9), but provided mixed responses on whether they would access the intervention outside of the study (mean rank out of 10 = 6.0, SD 3.5). There were statistically significant increases in percentage total energy intake d","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"111 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-18DOI: 10.1177/1357633x241247240
Tolulope V Adebile, Temitayo M Adebile, Tobi F Oloyede, Olamide A Asifat, Purbasha Biswas, Sarah Sejoro, Jing X Kersey
Obesity is projected to affect 86% of United States adults by 2030. Recent data show a surge to 41.9%, with the highest proportion in the 40–59 age group (44.3%). Obesity is linked to various health issues and preventable deaths. Telemedicine has emerged as a promising avenue for addressing obesity. This systematic review and meta-analysis examine the effectiveness of telemedicine interventions for managing obesity in US adults aged 40 and above. Through a thorough Preferred Reporting Items for Systematic Reviews and Meta-Analysis-guided search, 16 studies meeting inclusion criteria were identified. These studies employed diverse telemedicine technologies, including video-based and telephone sessions or a mixture of technologies. The analysis reveals a statistically significant mean difference of 0.93 in favor of telemedicine interventions for weight loss. Subgroup analysis suggests that intervention durations of 6–12 months and telephone-based sessions correlate with more substantial mean differences. This study provides valuable insights into the effectiveness of telemedicine in managing obesity, emphasizing the importance of intervention type and duration. Study limitations include variability and potential biases. Customized telemedicine strategies have the potential to combat the obesity epidemic among older adults in the United States, offering guidance to healthcare professionals aiming to reduce health risks and enhance overall well-being.
{"title":"Telemedicine for obesity management among United States adults: A systematic and meta-analysis of intervention studies","authors":"Tolulope V Adebile, Temitayo M Adebile, Tobi F Oloyede, Olamide A Asifat, Purbasha Biswas, Sarah Sejoro, Jing X Kersey","doi":"10.1177/1357633x241247240","DOIUrl":"https://doi.org/10.1177/1357633x241247240","url":null,"abstract":"Obesity is projected to affect 86% of United States adults by 2030. Recent data show a surge to 41.9%, with the highest proportion in the 40–59 age group (44.3%). Obesity is linked to various health issues and preventable deaths. Telemedicine has emerged as a promising avenue for addressing obesity. This systematic review and meta-analysis examine the effectiveness of telemedicine interventions for managing obesity in US adults aged 40 and above. Through a thorough Preferred Reporting Items for Systematic Reviews and Meta-Analysis-guided search, 16 studies meeting inclusion criteria were identified. These studies employed diverse telemedicine technologies, including video-based and telephone sessions or a mixture of technologies. The analysis reveals a statistically significant mean difference of 0.93 in favor of telemedicine interventions for weight loss. Subgroup analysis suggests that intervention durations of 6–12 months and telephone-based sessions correlate with more substantial mean differences. This study provides valuable insights into the effectiveness of telemedicine in managing obesity, emphasizing the importance of intervention type and duration. Study limitations include variability and potential biases. Customized telemedicine strategies have the potential to combat the obesity epidemic among older adults in the United States, offering guidance to healthcare professionals aiming to reduce health risks and enhance overall well-being.","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"38 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140629856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1177/1357633x241238779
Paula da Cruz Peniche, Christina Danielli Coelho de Morais Faria, Patricia Hall, Olive Lennon
IntroductionDespite the increased use of telehealth interventions, low-level evidence supports their use for behavior change and self-management in stroke secondary prevention. Therefore, this overview of systematic reviews (SRs) critically appraises and consolidates the evidence about theoretically-informed telehealth interventions in stroke secondary prevention.MethodsTwo phases were conducted independently by two reviewers. Phase-1 included SRs contemplating randomized controlled trials (RCTs) implementing telehealth interventions with individuals post-stroke, targeting cardiovascular events, risk-reducing health behaviors or physiological risk factors. Phase-2 interrogated RCTs from these SRs that implemented theoretically-informed interventions. Best-evidence synthesis of published meta-analyses and new meta-analyses of theoretically-informed interventions were conducted. GRADE evidence was applied.ResultsIn Phase-1 (15 SRs), best-evidence synthesis identified telehealth interventions as effective in reducing recurrent angina and recurrent stroke rates (both with very low GRADE), improving medication adherence (low GRADE), physical activity participation (very low GRADE), and blood pressure targets (very low GRADE), reducing systolic blood pressure (SBP) (moderate GRADE) and low-density lipoprotein levels (very low GRADE). In Phase-2 (14 RCTs), new meta-analyses identified theoretically-informed telehealth interventions as effective in improving medication adherence (SMD: 0.38; 95%CI: 0.13–0.64; I²: 72%, low GRADE) and healthy eating (SMD: 0.38; 95%CI: 0.15–0.60; I²: 38%, low GRADE), and decreasing SBP (MD: −9.19; 95%CI: −5.49 to −12.89; I²: 0%, moderate GRADE).DiscussionTelehealth demonstrates utility in stroke secondary prevention, notably in SBP reduction. High-quality RCTs are required given the lack of current evidence supporting theoretically-informed telehealth interventions addressing primary outcomes of secondary prevention, and the low certainty evidence identified for health behavior change.
{"title":"Effectiveness of behavior change and self-management theoretically-informed telehealth interventions for stroke secondary prevention: An overview of systematic reviews","authors":"Paula da Cruz Peniche, Christina Danielli Coelho de Morais Faria, Patricia Hall, Olive Lennon","doi":"10.1177/1357633x241238779","DOIUrl":"https://doi.org/10.1177/1357633x241238779","url":null,"abstract":"IntroductionDespite the increased use of telehealth interventions, low-level evidence supports their use for behavior change and self-management in stroke secondary prevention. Therefore, this overview of systematic reviews (SRs) critically appraises and consolidates the evidence about theoretically-informed telehealth interventions in stroke secondary prevention.MethodsTwo phases were conducted independently by two reviewers. Phase-1 included SRs contemplating randomized controlled trials (RCTs) implementing telehealth interventions with individuals post-stroke, targeting cardiovascular events, risk-reducing health behaviors or physiological risk factors. Phase-2 interrogated RCTs from these SRs that implemented theoretically-informed interventions. Best-evidence synthesis of published meta-analyses and new meta-analyses of theoretically-informed interventions were conducted. GRADE evidence was applied.ResultsIn Phase-1 (15 SRs), best-evidence synthesis identified telehealth interventions as effective in reducing recurrent angina and recurrent stroke rates (both with very low GRADE), improving medication adherence (low GRADE), physical activity participation (very low GRADE), and blood pressure targets (very low GRADE), reducing systolic blood pressure (SBP) (moderate GRADE) and low-density lipoprotein levels (very low GRADE). In Phase-2 (14 RCTs), new meta-analyses identified theoretically-informed telehealth interventions as effective in improving medication adherence (SMD: 0.38; 95%CI: 0.13–0.64; I²: 72%, low GRADE) and healthy eating (SMD: 0.38; 95%CI: 0.15–0.60; I²: 38%, low GRADE), and decreasing SBP (MD: −9.19; 95%CI: −5.49 to −12.89; I²: 0%, moderate GRADE).DiscussionTelehealth demonstrates utility in stroke secondary prevention, notably in SBP reduction. High-quality RCTs are required given the lack of current evidence supporting theoretically-informed telehealth interventions addressing primary outcomes of secondary prevention, and the low certainty evidence identified for health behavior change.","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"29 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140615495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-10DOI: 10.1177/1357633x241241572
Esther F Timoteo, Denise F Silva, Túlio MD de Oliveira, Anderson José, Carla Malaguti
IntroductionTelerehabilitation may facilitate access and adherence to pulmonary rehabilitation. Given the heterogeneity in existing telerehabilitation studies, it is still necessary to identify the most effective, safe, and cost-efficient strategy for clinical implementation, as well as the necessary level of supervision during telerehabilitation. The aim of this review was to determine the effectiveness and safety of real-time telerehabilitation for chronic respiratory diseases and post-COVID-19 compared to no-rehabilitation, center-based rehabilitation or asynchronous telerehabilitation.MethodsA comprehensive search was conducted in six databases until 30 April 2023. Clinical trials of real-time telerehabilitation supervised via videoconference in adults with diagnosis of any chronic respiratory disease or post-COVID-19 were included.ResultsTwelve studies with 1540 participants were included. Very-low to moderate certainty evidence showed no difference between real-time telerehabilitation and center-based pulmonary rehabilitation. Studies included in this review reported high adherence rates to real-time telerehabilitation and completion rate, with no difference compared to center-based pulmonary rehabilitation. When compared to no-rehabilitation, the results of this review provide low-certainty evidence that real-time telerehabilitation may have a potential effect on exercise capacity at the end of the intervention, with no better results in others outcomes. No studies comparing real-time telerehabilitation with asynchronous telerehabilitation were found.ConclusionReal-time telerehabilitation is safe and it seems to promote similar effects to center-based pulmonary rehabilitation. However, the certainty of this evidence ranged from very-low to moderate. Therefore, real-time telerehabilitation offers an alternative to center-based pulmonary rehabilitation models. This review provides a clear definition of real-time telerehabilitation, facilitating results interpretation and clinical applicability.
{"title":"Real-time telerehabilitation for chronic respiratory disease and post-COVID-19: A systematic review and meta-analysis","authors":"Esther F Timoteo, Denise F Silva, Túlio MD de Oliveira, Anderson José, Carla Malaguti","doi":"10.1177/1357633x241241572","DOIUrl":"https://doi.org/10.1177/1357633x241241572","url":null,"abstract":"IntroductionTelerehabilitation may facilitate access and adherence to pulmonary rehabilitation. Given the heterogeneity in existing telerehabilitation studies, it is still necessary to identify the most effective, safe, and cost-efficient strategy for clinical implementation, as well as the necessary level of supervision during telerehabilitation. The aim of this review was to determine the effectiveness and safety of real-time telerehabilitation for chronic respiratory diseases and post-COVID-19 compared to no-rehabilitation, center-based rehabilitation or asynchronous telerehabilitation.MethodsA comprehensive search was conducted in six databases until 30 April 2023. Clinical trials of real-time telerehabilitation supervised via videoconference in adults with diagnosis of any chronic respiratory disease or post-COVID-19 were included.ResultsTwelve studies with 1540 participants were included. Very-low to moderate certainty evidence showed no difference between real-time telerehabilitation and center-based pulmonary rehabilitation. Studies included in this review reported high adherence rates to real-time telerehabilitation and completion rate, with no difference compared to center-based pulmonary rehabilitation. When compared to no-rehabilitation, the results of this review provide low-certainty evidence that real-time telerehabilitation may have a potential effect on exercise capacity at the end of the intervention, with no better results in others outcomes. No studies comparing real-time telerehabilitation with asynchronous telerehabilitation were found.ConclusionReal-time telerehabilitation is safe and it seems to promote similar effects to center-based pulmonary rehabilitation. However, the certainty of this evidence ranged from very-low to moderate. Therefore, real-time telerehabilitation offers an alternative to center-based pulmonary rehabilitation models. This review provides a clear definition of real-time telerehabilitation, facilitating results interpretation and clinical applicability.","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"123 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140571240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-08DOI: 10.1177/1357633x241239715
Lydia J Hicks, Elaine Toombs, Jessie Lund, Kristy R Kowatch, Carol Hopkins, Christopher J Mushquash
Past research has examined available literature on electronic mental health interventions for Indigenous youth with mental health concerns. However, as there have recently been increases in both the number of studies examining electronic mental health interventions and the need for such interventions (i.e. during periods of pandemic isolation), the present systematic review aims to provide an updated summary of the available peer-reviewed and grey literature on electronic mental health interventions applicable to Indigenous youth. The purpose of this review is to better understand the processes used for electronic mental health intervention development. Among the 48 studies discussed, smoking cessation and suicide were the most commonly targeted mental health concerns in interventions. Text message and smartphone application (app) interventions were the most frequently used delivery methods. Qualitative, quantitative, and/or mixed outcomes were presented in several studies, while other studies outlined intervention development processes or study protocols, indicating high activity in future electronic mental health intervention research. Among the findings, common facilitators included the use of community-based participatory research approaches, representation of culture, and various methods of motivating participant engagement. Meanwhile, common barriers included the lack of necessary resources and limits on the amount of support that online interventions can provide. Considerations regarding the standards and criteria for the development of future electronic mental health interventions for Indigenous youth are offered and future research directions are discussed.
{"title":"Expanding our understanding of digital mental health interventions for Indigenous youth: An updated systematic review","authors":"Lydia J Hicks, Elaine Toombs, Jessie Lund, Kristy R Kowatch, Carol Hopkins, Christopher J Mushquash","doi":"10.1177/1357633x241239715","DOIUrl":"https://doi.org/10.1177/1357633x241239715","url":null,"abstract":"Past research has examined available literature on electronic mental health interventions for Indigenous youth with mental health concerns. However, as there have recently been increases in both the number of studies examining electronic mental health interventions and the need for such interventions (i.e. during periods of pandemic isolation), the present systematic review aims to provide an updated summary of the available peer-reviewed and grey literature on electronic mental health interventions applicable to Indigenous youth. The purpose of this review is to better understand the processes used for electronic mental health intervention development. Among the 48 studies discussed, smoking cessation and suicide were the most commonly targeted mental health concerns in interventions. Text message and smartphone application (app) interventions were the most frequently used delivery methods. Qualitative, quantitative, and/or mixed outcomes were presented in several studies, while other studies outlined intervention development processes or study protocols, indicating high activity in future electronic mental health intervention research. Among the findings, common facilitators included the use of community-based participatory research approaches, representation of culture, and various methods of motivating participant engagement. Meanwhile, common barriers included the lack of necessary resources and limits on the amount of support that online interventions can provide. Considerations regarding the standards and criteria for the development of future electronic mental health interventions for Indigenous youth are offered and future research directions are discussed.","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":"22 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140571243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1177/1357633X241241357
Connie C Shao, Meghna H Katta, Burke P Smith, Bayley A Jones, Lauren T Gleason, Alizeh Abbas, Nikita Wadhwani, Eric L Wallace, Michael J Mugavero, Daniel I Chu
Background: No-show visits have serious consequences for patients, providers, and healthcare systems as they lead to delays in care, increased costs, and reduced access to services. Telemedicine has emerged as a promising alternative to in-person visits by reducing travel barriers, but risks exacerbating the digital divide. The aim of this study was to assess the impact of telemedicine (video and phone) at a tertiary care academic center on no-show visits compared to in-person visits.
Methods: A retrospective cohort analysis of all weekday clinic visits among in-state adult patients at a single tertiary care center in the southeast from January 2020 to April 2023 was performed. Rates of no-show visits for patients who were seen via phone and video were compared with those who were seen in-person. Demographic and clinical characteristics of these groups were also compared, including age, sex, race/ethnicity, socioeconomic status, and visit type. The primary outcome was the rate of no-show visits for each visit type.
Results: Our analysis included 3,105,382 scheduled appointments, of which 81.2% were in-person, 13.4% via video, and 5.4% via phone calls. Compared to in-person visits, phone calls and video visits reduced the odds of no-show visits by 50% (aOR 0.5, CI 0.49-0.51) and 15% (aOR 0.85, CI 0.84-0.86), respectively. Older patients, Black patients, patients furthest from clinic, and patients from counties with the greatest degree of vulnerability and disparities in digital access were more likely to use phone visits. No-shows were more common among non-white, male, and younger patients from counties with lower socioeconomic status.
Conclusion: Telemedicine effectively reduced no-show visits. However, limiting telemedicine to video-based visits only exacerbated disparities in access. Phone calls allow historically underserved patients from lower socioeconomic backgrounds to access healthcare and should be included within the definition of telemedicine.
{"title":"Reducing no-show visits and disparities in access: The impact of telemedicine.","authors":"Connie C Shao, Meghna H Katta, Burke P Smith, Bayley A Jones, Lauren T Gleason, Alizeh Abbas, Nikita Wadhwani, Eric L Wallace, Michael J Mugavero, Daniel I Chu","doi":"10.1177/1357633X241241357","DOIUrl":"https://doi.org/10.1177/1357633X241241357","url":null,"abstract":"<p><strong>Background: </strong>No-show visits have serious consequences for patients, providers, and healthcare systems as they lead to delays in care, increased costs, and reduced access to services. Telemedicine has emerged as a promising alternative to in-person visits by reducing travel barriers, but risks exacerbating the digital divide. The aim of this study was to assess the impact of telemedicine (video and phone) at a tertiary care academic center on no-show visits compared to in-person visits.</p><p><strong>Methods: </strong>A retrospective cohort analysis of all weekday clinic visits among in-state adult patients at a single tertiary care center in the southeast from January 2020 to April 2023 was performed. Rates of no-show visits for patients who were seen via phone and video were compared with those who were seen in-person. Demographic and clinical characteristics of these groups were also compared, including age, sex, race/ethnicity, socioeconomic status, and visit type. The primary outcome was the rate of no-show visits for each visit type.</p><p><strong>Results: </strong>Our analysis included 3,105,382 scheduled appointments, of which 81.2% were in-person, 13.4% via video, and 5.4% via phone calls. Compared to in-person visits, phone calls and video visits reduced the odds of no-show visits by 50% (aOR 0.5, CI 0.49-0.51) and 15% (aOR 0.85, CI 0.84-0.86), respectively. Older patients, Black patients, patients furthest from clinic, and patients from counties with the greatest degree of vulnerability and disparities in digital access were more likely to use phone visits. No-shows were more common among non-white, male, and younger patients from counties with lower socioeconomic status.</p><p><strong>Conclusion: </strong>Telemedicine effectively reduced no-show visits. However, limiting telemedicine to video-based visits only exacerbated disparities in access. Phone calls allow historically underserved patients from lower socioeconomic backgrounds to access healthcare and should be included within the definition of telemedicine.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"1357633X241241357"},"PeriodicalIF":4.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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