Usability of Telemedicine in Physical Therapy Rehabilitation: Systematic review (Preprint)
Notice bibliographique
Résumé
BACKGROUND: The term 'Telemedicine' was coined in the 1970s to imply 'healing at a distance. Physical therapy rehabilitation (PTR) focuses on the re-institution of function in bodily strength and movement. Covid-19 has created a challenge in one-on-one PTR sessions due to social distancing, which requires the minimization of all non-essential physical contact. Most outpatient services in PTR have had to be staggered and minimized to increase adherence to social distancing requirements and flatten the pandemic's curve. Telemedicine is applicable in PTR in several ways, including guided therapy sessions, and remote monitoring of patient progress through videoconferencing. Telemedicine allows patients to access PTR from the comfort of their homes, which minimizes travel costs and general strain on the body. Although it has been encumbered by various challenges, telemedicine could revolutionize the delivery of PTR while also increasing access to essential healthcare services. OBJECTIVE: Purpose: Covering the main aspects of telemedicine usability in physical therapy rehabilitation, that encourage using of the telemedicine in physical therapy in the world regions not covered by, especially the Middle East. METHODS: Method: A systematic search in libgen.is, jmir.org, wiley.com, sagepub.com, and scholar.google.com. was performed using the search terms: Telemedicine; asynchronous telemedicine; synchronous telemedicine; Covid-19; rehabilitation medicine; physical therapy rehabilitation; videoconferencing; Medicaid programs; telehealth; and HIPAA. Papers published up to Oct. 22nd, 2020, in English, were included. RESULTS: Telemedicine is cost-effective for physical therapy Rehabilitation particularly in pandemic like COVID19, also it's time and human resources saving especially with hands-off skills rehabilitation. CONCLUSIONS: Telemedicine is a revolutionary aspect of medicine that has seen an unexpected uptake following the Covid-19 pandemic. While people formerly preferred live sessions for PTR, the convenience of telemedicine is increasingly emerging. The various advantages, including reduced cost implications, reduced waiting time, and reduction of non-essential travel to obtain therapy have increased the preference for telemedicine. [9] The WHO recognizes the importance of Telemedicine, and conducted a regional and global survey to analyze its viability. At the onset of global lockdown due to Covid-19, the APTA expressed the need for physiotherapists to utilize telemedicine as an alternative for efficient PTR delivery within the bounds of social recommendations for curve-flattening. Telemedicine in PTR has various advantages including cost reduction, the convenience of access, reduction of long waiting lists among others for the patient. [10] PTR can also be availed to areas that are too remote to have a full-fledged PTR center. Through the utilization of nurse aides and other social support systems, therapists can effectively conduct therapy sessions through videoconferencing. Laws governing the adoption and use of telemedicine for PTR include the HIPAA and other DPL, which regulate the extent to which therapists can collect, use, and store data collected during online therapy sessions. Therapists need to obtain verifiable consent from the patient before commencement.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,018 | 0,087 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,007 |
| Bibliométrie | 0,011 | 0,015 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».