MétaCan
Menu
Back to cohort
Record W4383710189 · doi:10.2340/jrm.v55.4405

Home-based telerehabilitation for community-dwelling persons with stroke during the COVID-19 pandemic: A pilot study

2023· article· en· W4383710189 on OpenAlexaff
Carl Froilan D. Leochico, Edgardo Miguel V. Austria, Maribeth Anne P. Gelisanga, Sharon D. Ignacio, Jose Alvin P. Mojica

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersUniversity of the Philippines
KeywordsTelerehabilitationMedicineTelemedicinePandemicPhysical therapyTelehealthStroke (engine)Physical medicine and rehabilitationCoronavirus disease 2019 (COVID-19)Health care

Abstract

fetched live from OpenAlex

Objectives: To determine the feasibility and safety of use of asynchronous telerehabilitation for community-dwelling persons with stroke in the Philippines during the COVID-19 (SARS-CoV-2) pandemic, and to evaluate the change in participants’ telerehabilitation perceptions, physical activity, and well-being after a 2-week home-based telerehabilitation programme using a common social media application.Design: Pilot study.Participants: Nineteen ambulatory, non-aphasic adult members of a national university hospital stroke support group in the Philippines.Methods: Pre-participation screening was performed using the Physical Activity Readiness Questionnaire. The participants were medically cleared prior to study enrollment. They then engaged in telerehabilitation by watching original easy-to-follow home exercise videos prepared and posted by the study authors on a private group page on Facebook™ every other day for 2 weeks. Descriptive statistics was performed. Results: All 19 participants (mean age: 54.9 years) completed the programme with no significant adverse events. The majority of subjects improved their telerehabilitation perceptions (based on the Telepractice Questionnaire), physical activity levels (based on the Simple Physical Activity Questionnaire), and perceived well-being (based on the Happiness Scale).Conclusion: Asynchronous telerehabilitation using a common low-cost social media application is feasible and safe for community-dwelling persons with chronic stroke in a lower-middle-income country. LAY ABSTRACTThe COVID-19 (SARS-CoV-2) pandemic led us to find alternative ways to connect patients and healthcare providers despite physical distance. For instance, telerehabilitation via available telecommunication technologies can be used to provide consultation and therapy services to persons living with disability. In resource-limited countries, such as the Philippines, telerehabilitation was not widely practiced prior to the pandemic, due to several factors, such as lack of acceptance and high costs. This pilot study demonstrates the feasibility, effectiveness, and safety of telerehabilitation using a common low-cost social media application for patients with chronic stroke. Nineteen adult members of a stroke support group safely completed a 2-week telerehabilitation programme by watching original easy-to-follow home exercise videos posted on a private group page on Facebook™. The majority of subjects had positive experiences with the programme, and had improved perceptions of telerehabilitation, physical activity levels, and perceived well-being after 2 weeks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.360
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Rehabilitation MedicineSame topicStroke Rehabilitation and RecoveryFrench-language works237,207