View clinical trials related to Telemedicine.
Filter by:This pilot study is to investigate a patient transfer path from the hospital to Hospital@Home to their general practitioners (GPs) using telemedical procedures. Telemedical support will be executed by Medgate who will refer the patients to their GPs after the telemedical consultations are completed. Inclusion criteria is the need for short time follow up procedures that can be handled by telemedicine. Throughout the study, patient and stakeholder satisfaction will be measured and data-based methods will be developed to assess patient transfer success. Overall, new information flow and communication between the stakeholders (hospital, telemedicine and general practitioners) are defined and tested. The Hospital@Home pilot study is intended to become a flagship project for new healthcare models.
The purpose of the study will be to evaluate the effect of a rehabilitation program on the improvement of patients with post-COVID-19 musculoskeletal symptoms, as well as to quantify the impact of telemedicine that evaluates the evolution of pain, functionality, and quality of life.
Objective 1: Evaluate patients' satisfaction with their telehealth care and determine factors associated with satisfaction. Objective 2: Deploy PROs and patient self-assessment tools, specifically a patient-facing instructional in-app tool that instructs RA patients how to perform self-assessment examinations to observe and report the number of tender and swollen joint counts.
Children in resource-limited settings who develop illness at night are often isolated from care, resulting in progression to an emergency. A telemedicine and medication delivery service (TMDS) is a viable healthcare delivery option to bridge the gap in nighttime care. This interrupted time series study (pre/post) will evaluate a digital clinical decision-support (dCDS) tool. The objective is to assess if the tool is associated with an improvement in guideline adherence by TMDS providers.
This study presents a digital mental-health protocol designed to offer remote, personalized support to former or current COVID-19 patients. A total of 100 subjects will be enrolled. Participation is voluntary, and an extended informed-consent form is signed before any evaluation, assessment or voice/video call. Consent forms are collected remotely for those who have been discharged and are currently in remission and in-person for subjects hospitalized in a COVID-19-ward of either pneumology, internal medicine or infectious disease departments. Efforts will be made to assess all participants who have completed the minimum required intervention activities: for DigiCOVID, minimum required intervention activities include attending psychotherapy sessions at least 4 times. As the main goal of this project is to evaluate the feasibility, acceptability and usability of DigiCOVID, the investigators will conduct an analysis of the following primary outcome measures in all ITT participants: 1. Assessment of completion rate. Based on our previous studies, the investigators expect that ≥80% of participants will complete the battery of online self-reports: 2. Usability ratings obtained post-DigiCOVID via a 7-point Likert-scale questionnaire (mean rating of all responses). This is a brief and embedded post-study questionnaire on program satisfaction, clarity, and perceived benefits. Participants will rate each sentence on the following 7-point Likert scale: 1 = Completely Agree; 2 = Mostly Agree; 3 = Somewhat Agree; 4 = Undecided; 5 = Somewhat Disagree; 6 = Mostly Disagree; 7 = Completely Disagree. Based on our previous studies, the investigators hypothesize exit survey ratings of at least ≥4.5 ±1.5 on the 7-point Likert scale items; 3. Reported side effects (raw score). Based on our previous findings, the investigators expect 0 adverse events due to program use; 4. Overall program completion rate. Based on previous findings, the investigators hypothesize full program completion in ≥70% study participants. The secondary outcome measures will be collected at baseline and immediately after the treatment for all participants. The investigators designed DigiCOVID to improve mental wellbeing. Therefore, the investigators will measure the impact of the intervention by looking at pre-post changes in the following outcome measures: the General Health Questionnaire (GHQ-12) (Goldberg, 1988) , the Impact of Event Scale-Revised (IES-R) (Weiss & Marmar, 1997), the General Anxiety Disorder-7 (GAD-7) (Robert L Spitzer et al., 2006), the Insomnia Severity Index (ISI) (Morin et al., 2011), and the Patient Health Questionnaire (PHQ-9) (Kroenke et al., 2001). The investigators expect to observe a significant improvement across all these secondary outcome measures in COVID-19 patients. To verify these experimental hypotheses, the investigators will conduct the analysis based on the pre-intervention (baseline) and post-intervention data using parametric and non parametric statistical tests. The criterion for statistical significance is p < 0.05. Results with p < 0.1 will be described as trends.
Deep brain stimulation (DBS) represents the treatment of choice for advanced stages of Parkinson's disease (PD). Currently, adaptive closed-loop stimulation systems that apply disease-specific biomarkers, such as local field potentials (LFPs), are being actively examined to facilitate DBS programming. However, the most suitable feedback signal, still remains to be determined. The investigators previously tested the usefulness of the patient's subjective rating on a visual analogue scale (VAS) as a potential feedback signal for DBS adjustment and found that VAS-based programming lead to similar results as our standard approach. One of the practical advantages of using VAS-based programming strategies - in addition to saving time - is the principal applicability of such an approach to a remote programming setting, although a validation of such an approach is required. Within the scope of a prospective, randomized multicenter clinical trial (the REMOTE Trial), the investigators will examine the effectiveness and safety of VAS-based remote DBS programming in PD by using a novel and recently introduced software platform (Abbott NeurosphereTM Virtual Clinic) that allows for the programming through a smartphone-based video connection with the patient. Therefore, n = 50 PD patients undergoing STN-DBS surgery will be randomized and subsequent to surgery will have their IPG settings adjusted either during regular visits at the hospital or alternatively be programmed remotely through a VAS-based approach. Prior to surgery and after a 90 days follow-up period, we will assess specific clinical (MDS-Unified Parkinson's Disease Rating Scale = UPDRS, Parkinson's Disease Questionnaire-39 sum index = PDQ-39 SI, Beck Depression Inventory = BDI, Montreal Cognitive Assessment Scale = MOCA) parameters to determine the effectivity and safety of the two different strategies on the patient outcome and to correlate it with VAS ratings and MRI data. The results will support the examination of remote-based DBS programming and evaluate the patient's subjective judgment as a valid feedback signal.
HIV medications can be very effective at helping patients have longer, healthier lives. However, many patients do not take their HIV medications as prescribed. This study aims to test a promising HIV medication adherence health coaching intervention delivered primarily via a smartphone application. N = 400 persons living with HIV will be enrolled across two sites (Providence, RI & Atlanta, GA). Participants will be randomly assigned, with a 2:1 ratio, to receive a 1) health coaching session with access to a smartphone application that provides medication reminders and remote access to the health coach or a 2) health coaching session only. Participants will complete interviews at baseline, 1, 3, 6, and 12 months after baseline. Some participants will also complete interviews at 18 and 24 months after baseline. Data analysis will examine the extent to which the intervention improves ART medication adherence, as well as other factors, compared to the control condition, which approximates standard of care.
It is a randomized, controlled, open-label, parallel group study of 3 arms, among patients followed for chronic HIV infection at Cayenne hospital. The main objective of the study is to evaluate the effectiveness of follow-up of these patients by teleconsultation associated or not with health mediation.
The anesthesia safety decree made it compulsory in 1994 to carry out a pre-anesthesia consultation before any operative or interventional act. With the inclusion of telemedicine in the Public Health Code then the publication of Addendum 6 in 2018 and finally the derogatory decree in March 2020, it is possible to perform and bill for pre-anesthesia consultation via telemedicine. The consultation is always followed by a pre-anesthetic visit upon admission of the patient the day before or the day of the operation to verify the information recorded during the consultation and the patient's state of health. This identifies elements omitted during the pre-anesthesia consultation (face-to-face or remotely) and reduces the risks of potential postponement. The study investigators hypothesize that there would be no difference in the quality of the information given, the collection of medical, paramedical and medication elements and the evaluation of the operative risk in anesthesia consultation via teleconsultation versus face-to-face. The critical points are the medication reconciliation of the patient's treatments, the overall assessment of the operative risk and anticipated difficulty of access to the airways (mouth opening: ≥ or <35 mmm).
The purpose of this study is to assess the acceptability and feasibility of the use of MyHealthyPregnancy (MHP) 3.0 in clinical practice over a 1 year period of time. The investigators will pilot MHP 3.0 (Spanish and English language options) at practice sites at the Obstetrix Medical Group of Houston, Texas and the UPMC (University of Pittsburgh Medical Center) Healthcare System. Patient and care team feedback will be assessed throughout this study. Patients at Obstetrix Medical Group of Houston will be assessed using 4 short acceptability and feasibility surveys administered by the Naima Health team using a link for an online survey during the study term: at baseline, week 14-18, week 24-28, and week 34-36. A subset of participants at UPMC will also be asked to complete user surveys.