Journal of Telemedicine and Telecare最新文献

IntroductionTelemedicine, propelled by recent technological advancements, has transformed healthcare delivery, notably benefiting patients with chronic non-communicable diseases (NCDs) such as systemic arterial hypertension and diabetes mellitus. This meta-analysis of randomized clinical trials aimed to assess the efficacy of telehealth-based interventions on disease control rates and clinical parameters among NCD patients, including systolic and diastolic blood pressure (SBP and DBP), fasting blood glucose (FBG), and glycated hemoglobin (HbA1c) levels.MethodsWe conducted searches in PubMed, Scopus, Web of Science, and the Cochrane Database for interventional studies that compared tele-monitoring with usual care in patients with hypertension and type 2 diabetes mellitus. Odds ratios with 95% confidence intervals (CIs) were computed.ResultsOur meta-analysis included 75 studies, encompassing a total of 106,261 patients, with 50,074 (47.12%) receiving usual care and 56,187 (52.88%) receiving tele-monitoring care. The telemedicine group was associated with a statistically significant reduction in SBP (mean difference (MD) -4.927 mmHg; 95% CI -6.193 to -3.660; p < 0.001; I² = 90%), DBP (MD -2.019 mmHg; 95% CI -2.679 to -1.359; p < 0.001; I² = 54%), FBG (MD -0.405 mmol/L; 95% CI -0.597 to -0.213; p < 0.001; I² = 32%), and HbA1c (MD -0.418%; 95% CI -0.525 to -0.312; p < 0.001; I² = 76%).ConclusionsOur meta-analysis shows that telehealth technologies notably enhance blood pressure and blood glucose control. This supports integrating telemedicine into clinical protocols as a valuable complementary tool for managing hypertension and diabetes mellitus comprehensively.

IntroductionMeta-analysis shows that home tele-monitoring (HTM) improves glycaemic control in patients with type-2 diabetes mellitus (T2DM) up to 12 months, but their health outcomes after HTM cessation remains unclear. This study aimed to determine the health outcomes of these patients 18 months after completing 6 months of HTM, compared to standard care.MethodsPatients with T2DM were enrolled in an open-labelled randomised controlled trial, aged 26 to 65 years, and suboptimal glycaemic control (HbA1c = 7.5%-10%). Patients in the intervention group (n = 165) undertook HTM using the OPTIMUM (Optimising care of Patients via Telemedicine In Monitoring and aUgmenting their control of diabetes Mellitus) HTM system for 6 months followed by usual care for another 18 months, while control group (n = 165) had usual care for 24 months. The OPTIMUM HTM system includes in-app video-based tele-education, tele-monitoring of the blood pressure (BP), capillary glucose and weight via Bluetooth devices and mobile applications, followed by algorithm-based telecare by the investigators. They were assessed using the Self-Care Inventory Scale (SCIR) and medication adherence (Medication Adherence Report Scale 5) at baseline, 6-month and 24-month time-points.ResultsThe data from 146 (intervention) and 152 (control) patients, with comparable baseline demographic profiles were eventually analysed. The decrease in HbA1c over 24 months was comparable between intervention and control group. Those in the intervention group were more likely to maintain their glycemic control (HbA1c ≤ 8%) (adjusted odds ratio (AOR) = 1.9, 95%confidence interval (CI) = 1.1-3.2; p = 0.028), had higher SCIR score (p = 0.004), and less likely to "never forget" (p = 0.022), or "stop medications" (p = 0.048), at 24-month time-point as compared to subjects in the control group.ConclusionThe glycaemic control of patients with T2DM continued to be maintained for another 18 months after 6 months of HTM, which were attributed to sustained self-care behaviour and medication adherence.

IntroductionThe rapid evolution and implementation of virtual care technologies for clinical use often exceeds the development of standardized implementation protocols, leading to gaps in the equitable and sustainable adoption of virtual care services, particularly in rural and remote areas. This paper introduces a comprehensive evaluation tool designed to assess community capacity and readiness for virtual care.MethodsThe development of the tool was informed by experiences from the Virtual Care and Robotics Program at the University of Saskatchewan. It involved a collaborative, multi-stakeholder approach that engaged healthcare leaders, IT experts and community healthcare workers. This iterative process included defining evaluation categories, mapping evaluative domains and refining the tool into a user-friendly checklist manual.ResultsThe tool identifies three key domains for assessing readiness: clinical needs, technology infrastructure and human resources/workflows. It was piloted in the remote community of Fond du Lac, Saskatchewan, where it successfully qualified the community for implementing telerobotic ultrasound services. The tool facilitated local engagement and highlighted the community's specific needs and readiness, enhancing the implementation process.ConclusionThis evaluation tool contributes to bridging the gap between the rapid deployment of virtual care technologies and the need for comprehensive, standardized implementation protocols. It offers a structured, practical approach to assessing and enhancing community readiness for virtual care while promoting successful clinical implementation and equitable access to healthcare.

Telemedicine is comparable in quality to in-person care, adequate for many primary care concerns, acceptable to patients, and can overcome barriers to care. However, patients are reluctant to pay the same for telemedicine as in-person care and uncertainty about future payor reimbursement makes it risky to base a clinical practice primarily on telemedicine. Physical exam-supported information collection and relationship-building are limited in telemedicine, but can be mitigated through remote patient monitoring and ample access to a provider and clinical team. Subscription-based direct primary care models disconnect payment from episodes of care, which can support enhanced communication between the patient and care team and support time for asynchronous tasks such as remote patient monitoring data review. A "telemedicine first, direct primary care" model in which most care is provided through telemedicine and financed via subscription would retain the convenience of telemedicine, mitigate relationship-limiting deficiencies due to the lack of physical contact, and provide a stable revenue stream to support a telemedicine-based approach to care. Paired with specialist access via eConsults and options to refer to in-person care when necessary, this model would support telemedicine as the foundation for practice and connect underserved populations to primary and specialty care.

BackgroundInadequate counseling at patient discharge from the emergency department can lead to adverse patient outcomes. Virtual discharge counseling can address gaps in discharge counseling and improve patients' understanding of instructions.MethodsA previously established virtual discharge counseling program was scaled across three emergency departments and expanded to 13 diagnoses. Utilizing a standardized protocol and script, counselors performed virtual discharge counseling via a remote, secure teleconference platform in the patients' preferred language.ResultsVirtual discharge counseling was performed with 166 patients. COVID-19, back pain, and headache were the most frequent diagnoses. The median counseling time was 14 min. Median counseling time for English was 11 min, versus 20 min for other languages (p < 0.001). Counseling times were the longest for COVID-19 and diabetes (18 min for each).ConclusionWe demonstrate the scalability of a virtual discharge counseling program. Our findings can assist in targeting virtual discharge counseling resources for limited English-proficiency patients and specific diagnoses that require longer counseling times.

IntroductionTelehealth has been effectively used for managing chronic disease conditions; however, utilization patterns vary across populations. This study aims to examine the prevalence of telehealth utilization, the associated factors of telehealth modality (e.g., audio, video) among patients with chronic diseases, and the role of health literacy.MethodsParticipants with at least one diagnosed chronic disease from the 2022 Health Information National Trends Survey (HINTS 6) data (n=3686) were analyzed. Differences in participant characteristics between telehealth users and non-users were compared using χ² statistics. Multinomial logistic regression models were employed to investigate factors associated with telehealth modality.ResultsAbout 52% of participants reported using telehealth in the past 12 months, with 34.7% using audio-only modality. Telehealth use was highest among participants with depression (61.6%) and lowest among those with high blood pressure (47.6%). Participants over 75 years old (OR, 3.11 [95% CI, 1.99-4.85]; P < 0.001) were more likely to use audio-only modality compared to the youngest group (18-34 years). Respondents with a higher educational level (bachelor's degree: OR, 0.77 [95% CI, 0.59-1.00], P = 0.049; post-baccalaureate degree: OR, 0.60 [95% CI, 0.43-0.82]; P < 0.001) and higher health literacy (OR, 0.81 [95% CI, 0.66-0.99]; P =0.04) were more likely to use audio-video modality compared to their counterparts.DiscussionTelehealth use varied across demographics and chronic diseases, revealing significant disparities. Elderly individuals, those with lower socioeconomic status, and those with lower health literacy tended to use the audio-only modality. Providing support for digital platforms and health literacy can empower patients with chronic diseases to effectively use telehealth for self-management.

IntroductionThe COVID-19 pandemic dramatically affected the financial performance of hospitals across the U.S. The prompt availability of telehealth options likely impacted both a hospital's healthcare options and opportunities for revenue in the short-term. The aim of this study was to explore the association between early adoption of telehealth and changes in revenue during the early phase of the pandemic, and to compare whether the results differed between rural and urban hospitals.MethodsWe performed first-difference regressions on a cross-sectional dataset of 1,742 U.S. hospitals. Our dependent variables were percent changes in four categories of revenue between 2019 and 2020: inpatient, outpatient, gross, and net. The adoption of telehealth and remote patient monitoring as of 2019 served as the primary independent variables of interest. We controlled for changes in hospital characteristics from 2019 to 2020, including case mix index and number of employees.ResultsOur results suggest that telehealth adoption prior to the COVID-19 pandemic was associated with significant increases in all four revenue categories from 2019 to 2020, ranging from 1.79% (net patient revenue) to 2.92% (outpatient revenue). However, RPM implementation in 2019 was associated with significant declines in gross patient (0.08%) and outpatient revenue (1.50%). The results were largely similar across rural and urban locations.DiscussionAdopting telehealth before the onset of COVID-19 helped hospitals increase revenue during the initial phase of the pandemic. Alternatively, implementation of remote patient monitoring was associated with revenue declines, likely due to limited ability for monetization. Whether these relationships have persisted needs further investigation.

AimsTo assess whether telemonitoring improves outcomes in patients with chronic heart failure.Methods and resultsA literature search was conducted on studies of randomized controlled trials involving non-invasive telemonitoring and heart failure using Medline, Embase, and Cochrane Library. The primary outcomes were all-cause mortality, all-cause hospitalization, and hospitalization for heart failure. Secondary outcomes were length of stay, health-related quality of life as assessed by validated questionnaires, healthcare costs and cost-effectiveness, and self-care behaviors. We performed a meta-analysis using a random effects model for the primary outcomes. The effect measure was odds ratio with corresponding 95% confidence interval, and heterogeneity among studies was assessed using the Higgins I² value. We screened 212 references, and 34 randomized controlled trials were included in this review. A total of 16179 participants with heart failure were included. Non-invasive telemonitoring reduced all-cause mortality by 18% (OR 0.82, 95% CI 0.71 to 0.95; participants = 15,211; studies = 28; I²= 34%; GRADE: moderate-quality evidence) and heart failure hospitalization by 20% (OR 0.80, 95% CI 0.69 to 0.94; participants = 7491; studies = 18; I²= 31%; GRADE: moderate-quality evidence). Non-invasive telemonitoring didn't demonstrate significant benefit on all-cause hospitalization (OR 0.93, 95% CI 0.82 to 1.05; participants = 11,565; studies = 25; I²= 49%).ConclusionTelemonitoring programs in patients with heart failure were associated with a reduction in all-cause mortality and heart failure hospitalization without harmful events.

IntroductionTelehealth has the potential to improve access to mental health care, especially for people living in rural and remote regions. Yet, telehealth accessibility remains a challenge in Australia, and there is a scarcity of appropriate, psychometrically sound tools for evaluating telehealth use by mental health service users. The aim of this study was to adapt and validate a scale for measuring factors associated with mental healthcare telehealth use.MethodsA 39-item scale was adapted from the Theoretical Domains Framework questionnaire (TDFQ); a 14-domain framework for measuring implementation of evidence-based practice in health research and service delivery. Since use of the TDFQ in the service user and telehealth space is novel, we adapted and piloted the TDFQ using a rigorous and iterative consultation process and analysis. The study sample included 208 people who use mental health services (52% male). Preliminary analysis identified 32-items for inclusion in the exploratory factor analysis. Internal reliability and construct validity were also analysed.ResultsThe resulting 21-item telehealth adaption of the TDFQ includes four factors, each with good internal reliability: satisfaction and habit (6 items), knowledge and training (5 items), benefit and value (6 items), and emotionality (4 items). Both the total scale and individual factors were positively associated with telehealth use.DiscussionThe telehealth adaption of the TDFQ is a psychometrically sound tool for assessing factors associated with the use of telehealth by people who use mental health services.

BackgroundHypertension, characterized by high blood pressure, poses a significant risk for cardiovascular diseases, stroke, and heart attack. Managing it is particularly challenging in areas with limited healthcare access and for patients who cannot attend regular in-person visits. Telemedicine interventions offer a promising solution by improving patient adherence and facilitating timely treatment adjustments. This study aims to systematically evaluate the impact of these telemedicine interventions on reducing systolic and diastolic blood pressure.MethodsA comprehensive search of PubMed, Scopus, and Web of Science was conducted to identify relevant studies. Two independent reviewers screened and selected eligible articles, extracting key data using a standardized form. The quality of the included studies was assessed with the Mixed Methods Appraisal Tool (MMAT). A random effects model was used to combine the results, with treatment effects measured using standardized mean differences (Hedges's g). Consistency of findings was evaluated through statistical tests, including the Q test and I² statistic, to assess heterogeneity. Data analysis was conducted using Stata statistical software version 17.0.ResultsOf the 2700 articles retrieved, 35 studies were selected for inclusion in the analysis. Using a random-effects model, the overall effect size was Hedges's g = -0.22 (95% CI: -0.30 to -0.15; p-value < 0.001), indicating a small but meaningful reduction in blood pressure (systolic and diastolic). Telemedicine interventions had a greater impact on systolic blood pressure (Hedges's g = -0.27, 95% CI: -0.39 to -0.15; p-value < 0.001) compared to diastolic blood pressure (Hedges's g = -0.17, 95% CI: -0.26 to -0.07; p-value < 0.001), though both reductions were clinically relevant.ConclusionThis study demonstrates that telemedicine interventions significantly reduce both systolic and diastolic blood pressure, with a more pronounced effect on systolic pressure. The overall effect size indicates a small but meaningful improvement in hypertension management. These findings highlight the potential of telemedicine as an effective strategy for enhancing patient outcomes in hypertension care.