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Record W4284885795 · doi:10.1080/17483107.2022.2096932

Perspectives from the spinal cord injury community with teleSCI services during the COVID-19 pandemic: a qualitative study

2022· article· en· W4284885795 on OpenAlexaffabout
Nikolaus A. Dean, Arshdeep Marwaha, Mark Grasdal, Sarah Leong, Adam Mesa, Andrei V. Krassioukov, Andrea Bundon

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2022
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreCanadian Physiotherapy AssociationVancouver Coastal HealthInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
Fundersnot available
KeywordsHealth carePandemicLeverage (statistics)Qualitative researchBusinessNursingPsychologyMedicineCoronavirus disease 2019 (COVID-19)Political scienceComputer scienceSociologyDisease

Abstract

fetched live from OpenAlex

PURPOSE: To explore individuals with spinal cord injury (SCI) experiences with and perceptions towards teleSCI services during the COVID-19 global pandemic in British Columbia, Canada. METHOD: = 71) to partake in an interview. In total, 12 individuals participated in the study. Interviews were recorded and transcribed verbatim. Interview transcripts were then coded and analysed by team members using qualitative descriptive analysis. RESULTS: Individuals with an SCI perceived teleSCI services to be convenient, accessible, affordable, and an effective way to access some healthcare services during the COVID-19 pandemic. However, in-person healthcare was still needed by many participants to effectively manage and treat their SCI-associated secondary conditions. CONCLUSION: Our findings suggest that, in a post-pandemic world, the SCI community would benefit from blended models of healthcare delivery that leverage telecommunication technologies to increase accessibility to healthcare while still providing in-person care for assessments and treatments.Implications for RehabilitationIndividuals with an SCI perceived teleSCI services to be convenient, accessible, affordable, and an effective way to access some healthcare services during the COVID-19 pandemic. However, in-person healthcare was still needed and desired by those with an SCI to effectively manage and treat their SCI-associated secondary conditions.In a post-pandemic world, individuals with an SCI would benefit from blended models of healthcare delivery that leverage telecommunication technologies to increase accessibility to healthcare, while still providing in-person care for those requiring ongoing treatment and management of secondary conditions associated with the patient's SCI.TeleSCI services offer the potential to allow healthcare professionals and SCI specialists to collaborate (digitally) with patients at the same time. This patient-centered approach could not only help healthcare professionals strategize effective remedies to better manage secondary conditions associated with SCI but could result in overall better-quality care received by those within the SCI community.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.006
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.441
Teacher spread0.380 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations11
Published2022
Admission routes2
Has abstractyes

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