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Record W4387823140 · doi:10.1097/htr.0000000000000912

The Relationship of Health Literacy to Health Outcomes Among Individuals With Traumatic Brain Injury: A Traumatic Brain Injury Model Systems Study

2023· article· en· W4387823140 on OpenAlexaff
Monique R. Pappadis, Angelle M. Sander, Shannon B. Juengst, Luis León‐Novelo, Esther Ngan, Kathleen Bell, John D. Corrigan, Simon Driver, Laura E. Dreer, Anthony H. Lequerica

Bibliographic record

VenueJournal of Head Trauma Rehabilitation · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsNovelis (Canada)Bell (Canada)
FundersNational Institute on Disability, Independent Living, and Rehabilitation ResearchNational Center for Advancing Translational SciencesNational Institute on Minority Health and Health DisparitiesAdministration for Community LivingNational Institute on AgingU.S. Department of Health and Human ServicesNational Institutes of HealthAustralian Government
KeywordsMental healthHealth literacyMedicinePatient Health QuestionnaireMental health literacyAnxietyPsychiatryDepression (economics)Traumatic brain injuryRehabilitationGeneralized anxiety disorderPoison controlOdds ratioClinical psychologyPhysical therapyHealth careMental illnessEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the associations between health literacy and health outcomes among individuals with traumatic brain injury (TBI) at least a year post-injury. SETTING: Community following discharge from inpatient rehabilitation. PARTICIPANTS: A total of 205 individuals with complicated mild to severe TBI who completed a TBI Model Systems National Database follow-up interview and a web-based health literacy measure. DESIGN: A multicenter, cross-sectional, observational study. MAIN MEASURES: The Health Literacy Assessment Using Talking Touchscreen Technology (Health LiTT), number of comorbid conditions (Medical and Mental Health Comorbidities Interview [MMHCI]), perceived physical and mental health (PROMIS Global Physical and Mental Health subscales), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7). RESULTS: After controlling for sociodemographic, injury, cognition, and time post-injury, adequate health literacy was associated with higher odds of greater perceived physical health compared with participants with marginal/inadequate health literacy (odds ratio = 4.10; CI = 1.52-11.70]. Participants with inadequate/marginal health literacy had 3.50 times greater odds of depression (PHQ-9 ≥ 10) compared with those with adequate health literacy. Participants 45 years and older reported a greater number of MMHCI physical health conditions, but fewer MMHCI mental health conditions and GAD-7 anxiety symptoms compared with those who were younger. Non-Hispanic White participants and those with mild/moderate TBI were more likely to report a greater number of MMHCI mental health conditions compared with non-Hispanic Black participants or those with severe TBI. Greater time post-injury was associated with greater number of chronic physical and mental health conditions, and less odds of good-to-excellent perceived global mental health. CONCLUSIONS: Inadequate health literacy is associated with worse perceived physical health and greater depressive symptoms among adults with TBI. Greater efforts are needed to explore the mechanisms by which health literacy influences chronic disease management and mental health after TBI to improve postinjury health status and outcomes, particularly among those with limited health literacy skills.

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)0.043
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0430.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.119
GPT teacher head0.499
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

Citations12
Published2023
Admission routes1
Has abstractyes

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