MétaCan
Menu
Back to cohort
Record W4382632077 · doi:10.2340/jrm.v55.4350

Social participation and health-related quality of life before and during the second wave of the Covid-19 pandemic in individuals with traumatic brain injury: A follow-up exploratory correlational study

2023· article· en· W4382632077 on OpenAlexafffund
Alexander Moreno, Hua Sun, Michelle McKerral

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in RehabilitationHôpital Notre-Dame
FundersFonds de Recherche du Québec - Santé
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Exploratory research2019-20 coronavirus outbreakTraumatic brain injuryPsychologyQuality of life (healthcare)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Health related quality of lifeGerontologyMedicineClinical psychologyPsychiatryVirologyDiseasePsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

Objective: Little is known about the effects of SARS-CoV-2 coronavirus disease (COVID-19) on quality of life and social participation in individuals with traumatic brain injury. We aimed to compare social participation and health-related quality of life (HRQoL) in a sample of individuals with TBI before and during the second wave of COVID-19 and explored the relationships between the perceived impacts of COVID-19, social participation, and HRQoL.Patients and methods: Eighteen individuals with traumatic brain injury with a mean (standard deviation) age of 47.7 (17.0) years at 48.2 (10.5) months post-injury were administered a questionnaire on overall disability and participation (Mayo-Portland Adaptability Inventory-4th edition; MPAI-4), HRQoL (Quality of Life after Brain Injury Questionnaire; QOLIBRI), and the Coronavirus Impacts Questionnaire before and during the second wave of the COVID-19 pandemic at an interval of 6.4 (SD = 8.2) months. Results: Compared with pre-pandemic levels, individuals with traumatic brain injury reported a statistically significant decrease in the QOLI-BRI total score and its emotional subscale (with medium to large effect sizes), but without statistically significant differences in MPAI-4 scores. Increased difficulties with access to resources during COVID-19 were associated with increased adjustment problems on the MPAI-4, and with daily life and autonomy difficulties, emotional issues, and lower physical functioning on the QOLIBRI. Conclusion: The relationships identified in this exploratory correlational study suggest that COVID-19 had a negative impact on quality of life in individuals with traumatic brain injury, but not specifically on their social participation. LAY ABSTRACTLittle is known about the effects of SARS-CoV-2 coronavirus disease (COVID-19) on the lives of individuals with traumatic brain injury. This study compared social participation and health-related quality of life in individuals with TBI before and during the second wave of COVID-19 and explored relationships between the perceived impacts of COVID-19, social participation, and health-related quality of life, but not specifically on social participation in individuals with traumatic brain injury. Also, increased difficulties with access to resources during COVID-19 were associated with increased adjustment problems, daily life and autonomy difficulties, emotional issues, and lower physical functioning.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.200
GPT teacher head0.447
Teacher spread0.247 · 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 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

Citations4
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Rehabilitation MedicineSame topicTraumatic Brain Injury ResearchFrench-language works237,207