Telemedicine and e-Health

Introduction: Information continuity is critical to person-centered care when patients receive care from multiple healthcare systems. Patients can access their electronic health record data through patient portals to facilitate information exchange. This pilot was developed to improve care continuity for rural Veterans by (1) promoting the use of the Department of Veterans Affairs (VA) patient portal to share health information with non-VA providers, and (2) evaluating the impact of health information sharing at a community appointment. Materials and Methods: Veterans from nine VA healthcare systems were trained to access and share their VA Continuity of Care Document (CCD) with their non-VA providers. Patients and non-VA providers completed surveys on their experiences. Results: Participants (n = 620) were primarily older, white, and Vietnam era Veterans. After training, 78% reported the CCD would help them be more involved in their healthcare and 86% planned to share it regularly with non-VA providers. Veterans (n = 256) then attended 277 community appointments. Provider responses from these appointments (n = 133) indicated they were confident in the accuracy of the information (97%) and wanted to continue to receive the CCD (96%). Ninety percent of providers reported the CCD improved their ability to have an accurate medication list and helped them make medication treatment decisions. Fifty percent reported they did not order a laboratory test or another procedure because of information available in the CCD. Conclusions: This pilot demonstrates feasibility and value of patient access to a CCD to facilitate information sharing between VA and non-VA providers. Outreach and targeted education are needed to promote consumer-mediated health information exchange.

Background: Suicidal patients often visit healthcare professionals in their last month before suicide, but medical practitioners are unlikely to raise the issue of suicide with patients because of time constraints and uncertainty regarding an appropriate approach. Introduction: A brief tool called the e-PASS Suicidal Ideation Detector (eSID) was developed for medical practitioners to help detect the presence of suicidal ideation (SI) in their clients. If SI is detected, the system alerts medical practitioners to address this issue with a client. The eSID tool was developed due to the absence of an easy-to-use, evidence-based SI detection tool for general practice. Material and Methods: The tool was developed using binary logistic regression analyses of data provided by clients accessing an online psychological assessment function. Ten primary healthcare professionals provided advice regarding the use of the tool. Results: The analysis identified eleven factors in addition to the Kessler-6 for inclusion in the model used to predict the probability of recent SI. The model performed well across gender and age groups 18–64 (AUR 0.834, 95% CI 0.828–0.841, N = 16,703). Healthcare professionals were interviewed; they recommended that the tool be incorporated into existing medical software systems and that additional resources be supplied, tailored to the level of risk identified. Conclusion: The eSID is expected to trigger risk assessments by healthcare professionals when this is necessary. Initial reactions of healthcare professionals to the tool were favorable, but further testing and in situ development are required.

Background: Remote health monitoring applications are being adopted to improve the health of chronically ill individuals. Little work has focused on the effects of these technologies on informal caregivers (CG) of patients with chronic illnesses. Objectives: To examine differences in caregiving appraisal between CG of enrolled and nonenrolled Veterans in the home telehealth (HT) program. Methods: Cross-sectional survey methodology in 244 dyads (Veteran and CG) from 6 rural Midwestern Veterans Affairs Medical Centers. Survey variables were derived from the 2004 National Alliance for Caregiving survey, along with measures of caregiving strain, burden, and satisfaction. Results: We found no differences when comparing HT and non-HT CG. In multivariate analyses combining the two groups, CG characteristics associated with CG strain included younger age, providing help with activities of daily living and instrumental activities of daily living, use of coping skills, depressive symptoms, and less use of unpaid help (all p ≤ 0.001). Burden was associated with CG use of coping skills, caregiving confidence, and relationship quality with the Veteran (all p < 0.0001). CG satisfaction was associated with presence of social support (p < 0.0001). High CG strain was associated with Veteran hospitalization in the combined group (p = 0.03). Burden (p = 0.0002) was significantly associated with CG satisfaction. Discussion: Existing HT infrastructure provides an opportunity to incorporate training and support programs for CG of chronically ill patients. Such programs could improve CG confidence and use of positive coping skills, lower strain and burden, and potentially improve the health of both the care recipient and CG.

Background: Intubation in rural emergency departments (EDs) is a high-risk procedure, often with little or no specialty support. Rural EDs are utilizing real-time telemedicine links, connecting providers to an ED physician who may provide clinical guidance. Introduction: We endeavored to describe telemedicine-assisted intubation in rural EDs that are served by an ED telemedicine network. Materials and Methods: Prospective data were collected on all patients who had an intubation attempt while on the video telemedicine link from May 1, 2014 to April 30, 2015. We report demographic information, indication, methods, number of attempts, operator characteristics, telemedicine involvement/intervention, adverse events, and clinical outcome by using descriptive statistics. Results: Included were 206 intubations. The most common indication for intubation was respiratory failure. First-pass success rate (postactivation) was 71%, and 96% were eventually intubated. Most attempts (66%) used rapid-sequence intubation. Fifty-four percent of first attempts used video laryngoscopy (VL). Telemedicine providers intervened in 24%, 43%, and 55% of first–third attempts, respectively. First-pass success with VL and direct laryngoscopy was equivalent (70% vs. 71%, p = 0.802). Adverse events were reported in 49 cases (24%), which were most frequently hypoxemia. Discussion: The impact of telemedicine during emergency intubation is not defined. We showed a 71% first-pass rate post-telemedicine linkage (70% of cases had a previous attempt). Our ultimate success rate was 96%, similar to that in large-center studies. Telemedicine support may contribute to success. Conclusions: Telemedicine-supported endotracheal intubation performed in rural hospitals is feasible, with good success rates. Future research is required to better define the impact of telemedicine providers on emergency airway management.

Background: Knowledge regarding compliance patterns and service utilization in e-health is important for the development of effective services. To develop proper e-health, the characteristics of compliance patterns and utilization of e-health should be studied. We studied these for glucose monitoring of diabetic patients from primary clinics. Materials and Methods: Data were collected from 160 outpatients who participated in e-health for glucose monitoring funded by the Korean government. Specifically, this study focused on two device types: a standalone Internet gateway and a tablet device. The SPSS 18.0 software was used for statistical analyses of demographic characteristics, survival data, and Cox proportional hazards regression model. Results: Standalone Internet gateway users demonstrated a more stable compliance pattern than did tablet device users. The compliance rate differed according to the device type. Typically, compliance decreases considerably around 8 months. In these results, standalone Internet gateway users utilized the service for longer periods than tablet device users. Gateway type and location also influenced utilization (p < 0.05). Conclusions: The service should be designed according to the device type to develop appropriate service models. Thus, service designers should understand the different characteristics of service devices. This study provides insight into compliance patterns and utilization to develop appropriate service models and service interventions depending on the device.

Objective: To identify potential risk factors associated with rehospitalization among Medicare recipients with heart failure (HF) receiving telehomecare. Materials and Methods: This study is a nonexperimental, cross-sectional secondary data analysis of the Centers for Medicare and Medicaid (CMS) mandated assessment called the Outcome and Assessment Information Set (OASIS)–C, provided by a large home care company. A total of 526 patients who received telehomecare from January 1, 2011 to August 31, 2013 were included in the analyses, which used multiple logistic regression. Results: The overall rate of rehospitalization was 36% while patients were receiving telehomecare. Moderately frail health status (p = 0.01), the presence of severe pain (p = 0.01), the presence of dermatologic problems (p = 0.03), and independence in dressing one's lower body (compared to slightly dependent [p = 0.01] or mostly dependent patient groups [p = 0.02]) were identified as risk factors for rehospitalization. Conclusions: The risk factors identified from this study may be used to drive more effective telehomecare placements, and referrals for additional services among telehomecare patients with HF.

Background: Difficulties in diagnosis of oral mucosal lesions are a significant cause of delayed oral cancer diagnosis, and this difficulty may be due to gaps in knowledge. This study evaluated the diagnostic skills of primary healthcare professionals regarding oral cancer and presented them with an e-learning course. Materials and Methods: Forty-seven primary healthcare professionals (32 dentists and 15 nondentists) enrolled in a 24-h course on oral medicine delivered through an e-learning platform. A test, based on 33 clinical images of oral lesions, was used to evaluate the diagnostic skills of participants. The participants were requested to classify each lesion as benign, potentially malignant, or malignant as well as to inform their clinical impression. Three specialists also took the test as the gold standard. Results: Twenty-seven participants completed the test. Nondentists and dentists showed a comparable sensitivity of 68.8 ± 11.1 and 63.7 ± 15.8, respectively. Specialists performed somewhat better; however, the difference was not statistically significant (81.0% ± 4.1%, p = 0.16). Dentists and specialists (70.0% ± 16.6% and 95.5% ± 3.1%, respectively) showed higher specificity than nondentists (39.3 ± 20.6, p < 0.01). Nondentists had a higher number of unanswered questions (p < 0.01) for classification and clinical impression (50.0% ±45.1% and 72.0% ± 25.0%, respectively) than dentists (5.7% ±11.9% and 19.8% ± 20%, respectively). Both dentists and nondentists had low attendance in the course (44.57% ± 37.38% and 26.53% ± 26.53%, respectively, p = 0.26). To the best of our knowledge, this is the first study to assess the diagnostic skills of public health workers belonging to different professional categories. Conclusion: Both dentists and nondentists have a fairly good capacity for discriminating the nature of oral lesions. Early squamous cell carcinoma is the most challenging situation and remains an issue to be addressed.

Background: There are a number of commercially available heart rate (HR) monitors on the market. The reliability of these monitors has had varying results. To the best of our knowledge, there are no telemonitoring services utilizing these devices for perioperative prehabilitation services for patients undergoing major surgery. The goal of this study is to pilot the MYZONE^® MZ-3 HR monitor to assess its level of reliability to provide a feasible telephysiotherapy prehabilitation service through prescription-based exercise programs to patients presenting for major cancer surgery within our leading oncological health service. Materials and Methods: Paired HR data from each participant were captured and analyzed using a Bland–Altman plot. Results: Seven healthy participants were included in the study with a total number of paired HR data points of 1,928. The bias (mean difference) between electrocardiogram and the MYZONE MZ-3 was 0.4 beats per minute (bpm) with an adjusted 95% limits of agreement of −4.5 to 5.3 bpm. Conclusion: The commercially available MYZONE MZ-3 HR monitor is a reliable tool for delivering telephysiotherapy to patients undergoing major cancer surgery. Further studies are needed to validate its use in this setting.

Background: We developed and beta-tested a patient-centered medication management application, PresRx optical character recognition (OCR), a mobile health (m-health) tool that auto-populates drug name and dosing instructions directly from patients' medication labels by OCR. Materials and Methods: We employed a single-subject design study to evaluate PresRx OCR for three outcomes: (1) accuracy of auto-populated medication dosing instructions, (2) acceptability of the user interface, and (3) patients' adherence to chronic medications. Results: Eight patients beta-tested PresRx OCR. Five patients used the software for ≥6 months, and four completed exit interviews (n = 4 completers). At baseline, patients used 3.4 chronic prescription medications and exhibited moderate-to-high adherence rates. Accuracy of auto-populated information by OCR was 95% for drug name, 98% for dose, and 96% for frequency. Study completers rated PresRx OCR 74 on the System Usability Scale, where scores ≥70 indicate an acceptable user interface (scale 0–100). Adherence rates measured by PresRx OCR were high during the first month of app use (93%), but waned midway through the 6-month testing period (78%). Compared with pharmacy fill rates, PresRx OCR underestimated adherence among completers by 3%, while it overestimated adherence among noncompleters by 8%. Discussion: Results suggest smartphone applications supporting medication management are feasible and accurately assess adherence compared with objective measures. Future efforts to improve medication-taking behavior using m-health tools should target specific patient populations and leverage common application programming interfaces to promote generalizability. Conclusions: Our medication management application PresRx OCR is innovative, acceptable for patient use, and accurately tracks medication adherence.