Journal of Telemedicine and Telecare最新文献

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.

ObjectivesTo explore patients' preferences regarding virtual consultations (via telephone or video) and to explore healthcare professionals' assessment of whether virtual consultations can maintain the same clinical quality as in-person consultations for outpatient care.MethodsA cross-sectional survey was conducted among patients with an in-person consultation at the outpatient clinic for internal medicine and among healthcare professionals who treated the patients. The prevalence of preference was determined using descriptive statistics based on cross-tabulated frequencies. Percentages are presented with 95% confidence intervals (95%CI).ResultsIn total, 218 patients (response rate 67%) completed the questionnaire; 79 patients (36%) preferred a virtual consultation (95%CI: 30%-43%); telephones were the most popular and preferred by 72 patients (33%; 95%CI: 27%-39%) followed by video preferred by 54 patients (25%; 95%CI: 19%-31%). Regarding contextual factors, male gender and previous experiences with telephone or video consultations were statistically significant predictors in favour of virtual consultations. Healthcare professionals estimated that 58 consultations (21%; 95%CI: 17%-26%) could have been conducted virtually with the same professional and clinical quality as the current in-person consultations.ConclusionsCurrent practice does not fully align with patient preferences for virtual visits in internal medicine outpatient clinics. Patients should be given the choice of virtual consultations whenever they are deemed professionally and clinically possible to enhance patient autonomy and satisfaction, while being mindful of speciality-specific considerations.

IntroductionElectronic consultations (eConsults) have been implemented by numerous academic medical centers (AMCs) to improve communication and address access to specialty care. As these models proliferate, we must understand their comparative benefit and use in various settings.MethodsThis retrospective, descriptive analysis compares eConsult utilization trends at an AMC that has deployed an internal effort and an external pivot. Relevant metrics are presented using counts and proportions or median and range where appropriate.ResultsThe internal AMC program demonstrated sustained growth from years 1 through 6, while the external pivot demonstrated considerable growth in year 1, followed by a steady decline in subsequent years. Endocrinology generated the highest number of eConsult orders in both programs (AMC 21%, external pivot 16%). Conversion rates to in-person visits were higher in the external pivot (22%) than in the internal AMC program (14%). Median response time across all specialties was faster (17 hours) for the AMC program than the external pivot (23 hours). The median number of eConsults ordered by any single primary care provider was 3 in both programs. The percentage of providers using the eConsult ordering system only once was approximately 30% in both programs. eConsults were primarily ordered by physicians (68%) at the AMC and physician assistants (40%) in the external pivot.DiscussionThe current study highlights similarities and differences between internal and external eConsult programs that can inform future "right-sizing" of care according to patient needs while promoting local care delivery and improving efficiencies at the AMC.

BackgroundUse of video triage in emergency medical dispatch centres is novel. We describe the impact of a video triage trial on call outcomes, triage accuracy and recontact with the emergency medical service in Victoria, Australia.MethodsA retrospective observational study of consecutive low to medium-acuity emergency ambulance calls undergoing secondary triage between 27/11/2023 and 17/03/2024. Propensity matching was performed to match video triage patients with traditional telephone triage patients.ResultsVideo triage patients were younger than telephone triage patients (49.1 vs. 59.2 years), and more frequently called in-hours (49.5% vs. 39.0%) for injuries or wounds (24.8% vs. 9.1%). Propensity matching yielded 1036 matched pairs. In the matched population, video triage was associated with reduced odds of emergency ambulance dispatch (odds ratio [OR] = 0.621 [95% confidence interval [CI] 0.521,0.741]) and increased odds of referral to alternate health services (OR = 1.287 [95%CI 1.032,1.605]). The odds of recontact within 24 hours among patients referred to alternate services were halved after video triage (OR = 0.514 [95%CI 0.320,0.826]). The technology was associated with increased alignment between dispatch priority and patient acuity (OR = 1.356 [95%CI 1.019,1.804]), and a reduction in over-triage (OR = 0.695 [95%CI 0.520,0.929]). Although, the overall secondary triage duration was longer when video triage was used (22 vs. 15 minutes, P < 0.001), there was no difference in time to ambulance dispatch for time-critical patients.ConclusionVideo triage by secondary triage clinicians was associated with fewer emergency ambulance dispatches, more referrals to alternate services, fewer recontacts and improved triage accuracy. Expansion of the technology to primary triage warrants exploration.

IntroductionTelestroke enables timely and remote evaluation of patients with acute stroke syndromes. However, stroke mimics represent more than 30% of this population. Given the resources required for the management of suspected acute ischemic stroke, several scales have been developed to help identify stroke mimics. Our objective was to externally validate four mimic scales (Khan Score (KS), TeleStroke Mimic Score (TS), simplified FABS (sFABS), and FABS) in a large, academic telestroke network.MethodsThis is a retrospective, Institutional Review Board-exempt study of all patients who presented with suspected acute stroke syndromes and underwent video evaluation between 2019 and 2020 at a large academic telestroke network. Detailed chart review was conducted to extract both the variables needed to apply the mimic scales, the final diagnosis confirmed by final imaging, and discharge diagnosis (cerebral ischemic vs stroke mimic). Overall score performance was assessed by calculating the area under curve (AUC). Youden cutpoint was established for each scale and used to calculate sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy.ResultsA total of 1043 patients were included in the final analysis. Final diagnosis of cerebral ischemia was made in 63.5% of all patients, and stroke mimic was diagnosed in 381 patients (36.5%). To predict stroke mimic, TS had the highest AUC (68.3), sensitivity (99.2%), and NPV (77.3%); KS had the highest accuracy (67.5%); FABS had the highest specificity (55.1%), and PPV (72.5%).ConclusionsWhile each scale offers unique strengths, none was able to identify stroke mimics effectively enough to confidently apply in clinical practice. There remains a need for significant clinical judgment to determine the likelihood of stroke mimic at presentation.

Background and objectiveObesity and its associated health challenges represent a pressing global concern. Telemedicine interventions offer a promising solution for effective weight loss support. This study examines the impact of telemedicine interventions on weight loss support.MethodsWe conducted a search of PubMed, Scopus, and Web of Science, starting from their inception. Both researchers systematically selected articles and extracted data using a designated data collection form. To assess the risk of bias in the included studies, we employed the Mixed Methods Appraisal Tool. Publication bias was evaluated through funnel plots and Egger's and Begg's tests. Utilizing the gathered data, we computed the standardized mean differences (Hedges's g) between the treatment and control groups. We estimated heterogeneity variance using the Q test and I² statistic. The analysis was carried out using Stata 17.0.ResultsOut of a total of 2626 retrieved articles, 30 studies were included in the analysis. Telemedicine interventions can cause weight loss in people (Hedges's g = 0.09, 95% CI: -0.13, 0.39; p-value < 0.001). The type of telemedicine intervention and target population were a significant moderator of the heterogeneity between studies (p < 0.05).ConclusionThis study highlights the potential of telemedicine interventions as valuable tools in weight loss programs. Embracing these technologies can enhance the effectiveness of weight management strategies for diverse populations.

Background and ObjectivesElectronic consults (e-consults) are asynchronous, formalized requests by a provider to involve a specialist to assist with decision making. E-consults are an alternative to face-to-face consultation and are a promising strategy to efficiently address certain requests for advice. The objective of this project was to examine the utility and characteristics of electronic consults utilized in a safety-net hospital outpatient neurology clinic.MethodsWe retrospectively reviewed e-consults to the neurology clinic from1 January 2021 to 31 September 2021. The reasons for requests and any diagnostic or treatment recommendations were collected. The time to completion of the e-consults and the percentage of e-consult referred for an in-person clinic evaluation were determined as outcome measures. Following each e-consult, the consulting provider completed a survey to gather their assessment on the appropriateness of the consult, time spent answering the consult, and if unnecessary testing or clinic visits were avoided.ResultsA total of 528 e-consults were completed during the study period. The most frequent e-consult referrals were for headache (22%), stroke/neurovascular (21%), neuropathy/neuritis/disturbance of skin sensation (11%), and seizures/spells (11%). The majority of e-consults (94%) were answered in one business day (defined as occurring within 24 h) with 67% of consults answered the same day (defined as occurring within the same calendar day). The consulting providers reported that more than 90% of e-consults took <15 min to answer, and 84% of e-consult requests were felt to be appropriate. A total 156 (41.4%) patients initially seen as an e-consult were referred for a face-to-face visit within 90 days of the e-consult.DiscussionE-consults provided expedited input from neurologists, which is vital in health systems that provide care to vulnerable populations. The majority of e-consults were answered within 1 day of referral, offering rapid access to neurological expertise in comparison to wait times currently encountered for face-to-face visits. Accordingly, e-consults have the potential to expedite treatment for patients, empower primary care providers, and reduce demand for in-person consultations, particularly in large health systems caring for vulnerable populations.