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Record W4391174246 · doi:10.1177/00469580241226827

Exploring the Lived Experiences of Individuals With Spinal Cord Injury During the COVID-19 Pandemic

2024· article· en· W4391174246 on OpenAlexaffabout
Eleni Patsakos, K. Alysse Bailey, David S. Ditor

Bibliographic record

VenueINQUIRY The Journal of Health Care Organization Provision and Financing · 2024
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsBrock UniversityNiagara Health SystemMcMaster UniversityUniversity Health Network
Fundersnot available
KeywordsPandemicThematic analysisMedicineQualitative researchExploratory researchSpinal cord injurySocial isolationPsychologyCoronavirus disease 2019 (COVID-19)GerontologyPsychiatryDiseaseSociology

Abstract

fetched live from OpenAlex

The global spread of severe acute respiratory syndrome coronavirus 2019 (COVID-19) has affected over 100 countries and has led to the tragic loss of life, overwhelmed health care systems and severely impacted the global economy. Specifically, individuals living with spinal cord injury (SCI) are particularly vulnerable during the COVID-19 pandemic as they often face adverse impacts on their health, emotional well-being, community participation, and life expectancy. The objective of this study was to investigate the lived experience of individuals with SCI during the COVID-19 pandemic in Ontario, Canada. An exploratory design with a qualitative descriptive approach was used to address the study objective. Nine semi-structured interviews were conducted with individuals with traumatic and non-traumatic SCI (37-69 years, C3-L5, AIS A-D, and 5-42 years post-injury). Using reflexive thematic analysis, the following themes were created: (1) Caregiver exposure to COVID-19; (2) Staying physically active in quarantine; (3) Living in social isolation; (4) Difficulty obtaining necessary medical supplies; (5) Access to health services and virtual care during COVID-19; and (6) Fighting COVID-19 misinformation. This is one of the first studies to explore the impact of COVID-19 on individuals living with SCI in Ontario. This study contributes to a greater understanding of the challenges faced by individuals living with SCI and provides insight into how to better support and respond to the specific and unique needs of individuals with SCI and their families during a national emergency or pandemic.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.149
GPT teacher head0.421
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueINQUIRY The Journal of Health Care Organization Provision and FinancingSame topicSpinal Cord Injury ResearchFrench-language works237,207