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Record W4311554397 · doi:10.3390/disabilities2040052

Experiences of Individuals Living with Spinal Cord Injuries (SCI) and Acquired Brain Injuries (ABI) during the COVID-19 Pandemic

2022· article· en· W4311554397 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisabilities · 2022
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsParkwood InstituteLawson Health Research InstituteWestern University
Fundersnot available
KeywordsPsychosocialPandemicCoping (psychology)PsychologyHealth careMental healthQuality of life (healthcare)TelemedicineAcquired brain injuryMedicineNursingRehabilitationCoronavirus disease 2019 (COVID-19)Clinical psychologyPsychiatryDiseasePhysical therapy

Abstract

fetched live from OpenAlex

The COVID-19 pandemic presents unique challenges for people living with acquired neurological conditions. Due to pandemic-related societal restrictions, changes in accessibility to medical care, equipment, and activities of daily living may affect the mental health of individuals with a SCI or ABI. This study aimed to understand the impact of the pandemic on psychological wellbeing, physical health, quality of life, and delivery of care in persons living with SCI and ABI. A secondary objective included exploring the use of virtual services designed to meet these challenges. In a companion study, participants were surveyed using validated scales of psychosocial health, physical health and healthcare access. In this study, 11 individuals gathered from the survey participated in virtual individual semi-structured interviews to provide accounts of lived experiences regarding critical health challenges and eHealth. Two researchers independently coded interviews for themes using a hermeneutic phenomenological approach. Through analysis of interviews, 5 themes were identified regarding COVID-19 and recovery, access to care, virtual healthcare, systemic barriers, and coping. Overall, limited opportunities due to the pandemic led to a need for adaptation and multifaceted outcomes on one’s wellbeing, which provides guidance for future clinical practice.

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.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.386
Teacher spread0.322 · 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