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Record W4404002891 · doi:10.18103/mra.v12i10.5961

Exploring experiences and changes in daily and social activities among individuals with spinal cord injury during the COVID-19 pandemic: A longitudinal study

2024· article· en· W4404002891 on OpenAlexaff
Ethan Simpson, Gurkaran Singh, Rinni Mamman, William C. Miller, Jaimie Borisoff, Pegah Derakhshan, W. Ben Mortenson

Bibliographic record

VenueMedical Research Archives · 2024
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicLongitudinal studySpinal cord injurySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedicineSpinal cordPsychologyVirologyDevelopmental psychologyNeuroscienceInternal medicinePathology

Abstract

fetched live from OpenAlex

Objectives: To explore experiences and changes in daily and social activities among individuals living with spinal cord injuries over the first 9 months of the COVID-19 pandemic. Materials and methods: In this longitudinal qualitative study, data were collected by conducting semi-structured interviews with participants at four time points (June 2020, July 2020, August 2020, January 2021). Data were analyzed longitudinally using a recurrent cross-sectional approach. Results: The 22 participants had a mean age of 54 years, 13 were male. We identified three main themes: 1) ‘Dealing with the emotional impact of pandemic-related restrictions’ explored feelings of frustration, sources of anxiety, and the importance of adopting a positive mindset; 2) ‘Changing daily routines’ described aspects of normal routines that changed and ways of adapting to those changes; and 3) ‘Revisiting social engagement’ conveyed the struggles caused by a lack of social engagement and coping strategies to overcome them. Conclusion: This study explicates the changes experienced by the SCI community during various points of the COVID-19 pandemic. Participants discussed feelings of frustration, anxiety, and gratitude. They described changes, challenges, and strategies used when navigating life during the pandemic. These findings can facilitate future research to address the challenges faced by this population.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.352
GPT teacher head0.500
Teacher spread0.148 · 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 teacher head, not a consensus.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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