Browsing by Subject "telemedicine"
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Item Open Access Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes.(Patient preference and adherence, 2017-01) Andrews, Sara M; Sperber, Nina R; Gierisch, Jennifer M; Danus, Susanne; Macy, Stephanie L; Bosworth, Hayden B; Edelman, David; Crowley, Matthew JObjective
We studied a telemedicine intervention for persistent poorly controlled diabetes mellitus (PPDM) that combined telemonitoring, self-management support, and medication management. The intervention was designed for practical delivery using existing Veterans Affairs (VA) telemedicine infrastructure. To refine the intervention and inform the delivery of the intervention in other settings, we examined participants' experiences.Methods
We conducted semistructured interviews with 18 Veterans who completed the intervention. We analyzed interview text using directed content analysis and categorized themes by hemoglobin A1c (HbA1c) improvement (<1% or ≥1%).Results
Participants generally reported greater awareness of their blood glucose levels; however, they described dissatisfaction with the telemonitoring interface and competing demands during the intervention. Participants with <1% HbA1c improvement reported that these challenges interfered with their engagement. Participants with ≥1% HbA1c improvement reported new self-management routines despite challenges.Conclusion
Despite competing demands and frustration with the telemonitoring interface, many participants demonstrated intervention engagement and substantial improvement in HbA1c ($1%). Differences in engagement may reflect differing capacity to manage treatment burden. Because it relies on existing infrastructure, this intervention is a promising model for addressing PPDM within VA. Future work should focus on optimizing systems' telemedicine infrastructure; while reliance on existing infrastructure may facilitate practical delivery, and it may also limit intervention engagement by excessively contributing to treatment burden.Item Open Access Sequential Multiple Assignment Randomized Trial (SMART) to identify optimal sequences of telemedicine interventions for improving initiation of insulin therapy: A simulation study.(BMC medical research methodology, 2021-09-30) Yan, Xiaoxi; Matchar, David B; Sivapragasam, Nirmali; Ansah, John P; Goel, Aastha; Chakraborty, BibhasBackground
To examine the value of a Sequential Multiple Assignment Randomized Trial (SMART) design compared to a conventional randomized control trial (RCT) for telemedicine strategies to support titration of insulin therapy for Type 2 Diabetes Mellitus (T2DM) patients new to insulin.Methods
Microsimulation models were created in R using a synthetic sample based on primary data from 63 subjects enrolled in a pilot study of a smartphone application (App), Diabetes Pal compared to a nurse-based telemedicine strategy (Nurse). For comparability, the SMART and an RCT design were constructed to allow comparison of four (embedded) adaptive interventions (AIs).Results
In the base case scenario, the SMART has similar overall mean expected HbA1c and cost per subject compared with RCT, for sample size of n = 100 over 10,000 simulations. SMART has lower (better) standard deviations of the mean expected HbA1c per AI, and higher efficiency of choosing the correct AI across various sample sizes. The differences between SMART and RCT become apparent as sample size decreases. For both trial designs, the threshold value at which a subject was deemed to have been responsive at an intermediate point in the trial had an optimal choice (i.e., the sensitivity curve had a U-shape). SMART design dominates the RCT, in the overall mean HbA1c (lower value) when the threshold value is close to optimal.Conclusions
SMART is suited to evaluating the efficacy of different sequences of treatment options, in addition to the advantage of providing information on optimal treatment sequences.Item Open Access Specialist Perspectives on Delivering High-Quality Telemedicine for Diabetes: A Mixed Methods Survey Study.(Journal of the Endocrine Society, 2023-03) Zupa, Margaret F; Alexopoulos, Anastasia-Stefania; Esteve, Lucy; Rosland, Ann-MarieBackground
Recent recommendations guiding appropriate use of telemedicine for endocrinology care have largely relied on expert opinion due to limited evidence on factors that increase quality of telemedicine care. In this study, we assessed the perspectives of front-line specialists on factors and strategies perceived to increase quality of diabetes care delivered via telemedicine after more than 2 years of widespread use.Methods
Adult diabetes specialists in 2 academic health systems who recently used video-based telemedicine to provide diabetes care were invited to participate in an online survey study between March and April 2022. Likert-style questions, followed by related open-ended questions, assessed perspectives on availability of key resources, factors affecting quality, and anticipated benefits from telemedicine for diabetes.Results
Response rate was 52% (56/111). More than half (54%) of participants reported better overall quality of diabetes care with face-to-face care vs telemedicine. Participants reported clinical data supporting high-quality care, such as home blood glucose readings and vital signs, were often not available with telemedicine. Patient factors, including comorbidities and communication barriers, reduced anticipated benefit from telemedicine, while geographic and mobility barriers increased expected benefit. Providers described multiple health care setting resources that could promote high-quality telemedicine diabetes care, including greater support for sharing patient-generated health data and coordinating multidisciplinary care.Conclusions
After 2 years of sustained use, diabetes specialists identified telemedicine as an important way to enhance access to care. However, specialists identified additional supports needed to increase appropriate use and delivery of high-quality telemedicine care for patients with complex clinical needs.Item Open Access Wireless, Web-Based Interactive Control of Optical Coherence Tomography with Mobile Devices.(Transl Vis Sci Technol, 2017-01) Mehta, Rajvi; Nankivil, Derek; Zielinski, David J; Waterman, Gar; Keller, Brenton; Limkakeng, Alexander T; Kopper, Regis; Izatt, Joseph A; Kuo, Anthony NPURPOSE: Optical coherence tomography (OCT) is widely used in ophthalmology clinics and has potential for more general medical settings and remote diagnostics. In anticipation of remote applications, we developed wireless interactive control of an OCT system using mobile devices. METHODS: A web-based user interface (WebUI) was developed to interact with a handheld OCT system. The WebUI consisted of key OCT displays and controls ported to a webpage using HTML and JavaScript. Client-server relationships were created between the WebUI and the OCT system computer. The WebUI was accessed on a cellular phone mounted to the handheld OCT probe to wirelessly control the OCT system. Twenty subjects were imaged using the WebUI to assess the system. System latency was measured using different connection types (wireless 802.11n only, wireless to remote virtual private network [VPN], and cellular). RESULTS: Using a cellular phone, the WebUI was successfully used to capture posterior eye OCT images in all subjects. Simultaneous interactivity by a remote user on a laptop was also demonstrated. On average, use of the WebUI added only 58, 95, and 170 ms to the system latency using wireless only, wireless to VPN, and cellular connections, respectively. Qualitatively, operator usage was not affected. CONCLUSIONS: Using a WebUI, we demonstrated wireless and remote control of an OCT system with mobile devices. TRANSLATIONAL RELEVANCE: The web and open source software tools used in this project make it possible for any mobile device to potentially control an OCT system through a WebUI. This platform can be a basis for remote, teleophthalmology applications using OCT.