International Journal of Telerehabilitation最新文献

Scope: Early in the COVID-19 pandemic, community rehabilitation stakeholders from a provincial health system designed a novel telerehabilitation service. The service provided wayfinding and self-management advice to individuals with musculoskeletal concerns, neurological conditions, or post-COVID-19 recovery needs. This study evaluated the efficiency of the service in improving access to care.

Methodology: We used multiple methods including secondary data analyses of call metrics, narrative analyses of clinical notes using artificial intelligence (AI) and machine learning (ML), and qualitative interviews.

Conclusions: Interviews revealed that the telerehabilitation service had the potential to positively impact access to rehabilitation during the COVID-19 pandemic, for individuals living rurally, and for individuals on wait lists. Call metric analyses revealed that efficiency may be enhanced if call handling time was reduced. AI/ML analyses found that pain was the most frequently-mentioned keyword in clinical notes, suggesting an area for additional telerehabilitation resources to ensure efficiency.

The aim of this paper was to evaluate the results of an integrated treatment delivered remotely to laryngectomized patients with voice prosthesis. Eighteen laryngectomized patients were treated remotely in groups co-led by a speech therapist and a psychologist ("Online Group"). The results were compared with those of 17 patients ("In-Person Group") previously studied. The two groups obtained comparable results on all parameters of the INFVo perceptual rating scale, in the DEP, ANX, PHO and HOS areas of the Symptom Check List-90-Revised questionnaire, and in the areas investigated by the WHOQOL-B questionnaire. The "In-Person Group" obtained statistically better results on the Italian Self-Evaluation of Communication Experiences after Laryngeal Cancer questionnaire. Although the in-person treatment favored the acceptance of the new voice and the development of conversational skills, telerehabilitation guaranteed an adequate level of assistance in terms of voice acquisition, prevention of anxiety and depression, and recovery of a good QoL.

In response to COVID-19, the New York City Early Intervention (EI) Program rapidly transitioned from in-person to teletherapy services. We describe the timing of service resumption among children who received EI services between March 1 and March 17, 2020. The proportion of children who transitioned to teletherapy-only was 25% as of March 24, rising to 78% by July 6. By December 31, 2020, 87% of the cohort had resumed either teletherapy or in-person services. Child age, race, language, and neighborhood poverty all predicted service resumption timing. Children with a diagnosis of autism spectrum disorder were more likely to transition to teletherapy, and children with only 1-2 domains of delay were more likely to discontinue services altogether. Continuity of EI services during the COVID-19 public health emergency was a critical priority. Timely policy changes facilitated swift return to services and avoided exacerbation of the long-standing racial disparities in access to EI services.

Aims: To evaluate the effectiveness of a hybrid cardiac telerehabilitation (HCTR) program after acute coronary syndrome (ACS) on patient quality of life (QoL) and physical activity indices throughout phases 2-3 and establish predictors for hybrid program self-selection.

Methodology: This single-centre longitudinal retrospective study included patients who attended a cardiac rehabilitation program (CRP) between 2018-2021. Patients self-selected between two groups: Group 1 - conventional CRP (CCRP); Group 2 - HCTR. Baseline characteristics were registered. EuroQol-5D (EQ-5D) and International Physical Activity Questionnaire (IPAQ) were applied at three times: T0 - phase 2 onset; T1 - phase 3 onset; T2 - 3 months after T1.

Results: 59 patients participated (Group 1 - 27; Group 2 - 32). We found significant between-group differences regarding occupation (p=0.003). Diabetic patients were less likely to self-select into HCTR (OR=0.21; p<0.05). EQ-5D visual analogue scale and IPAQ result significantly improved between T0-T2 only for HCTR (p=0.001; p=0.021).

Conclusions: HCTR was superior to CCRP on physical activity indices and QoL of ACS patients.

This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. The Institute's research team in collaboration with Ternopil National Medical University began a new project called "Development of the cloud-based platform for patient-centered telerehabilitation of oncology patients with mathematical-related modeling." The project is dedicated to the development of a hybrid cloud-based platform, and the creation on its basis of information technology for the telemedicine rehabilitation of cancer patients, and adapted for patients with combat stress disorder. The distinctive features of the proposed technology are a combination of artificial intelligence methods with accurate mathematical methods for optimization: developing mathematical models of problems of discrete, and non-smooth optimization, subgradient space transformation algorithms (to minimize non-smooth functions with tens of thousands of variables), and a method of global equilibrium search, etc.