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Assessment of Health Literacy and Self-reported Readiness for Transition to Adult Care Among Adolescents and Young Adults With Spina Bifida

2021· article· en· W3203220777 on OpenAlexaff
James T. Rague, Soojin Kim, Josephine Hirsch, Theresa Meyer, Ilina Rosoklija, Jill E. Larson, Vineeta T. Swaroop, Robin Bowman, Diana K. Bowen, Earl Y. Cheng, Elisa J. Gordon, Daniel I. Chu, Tamara Isakova, Elizabeth B. Yerkes, David I. Chu

Bibliographic record

VenueJAMA Network Open · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Minority Health and Health DisparitiesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteAgency for Healthcare Research and Quality
KeywordsSpina bifidaHealth literacyMedicineLiteracyHealth carePediatricsYoung adultCross-sectional studyPsychologyGerontology

Abstract

fetched live from OpenAlex

Importance: Health literacy has been shown to play an important role in transitions of care in adult populations, with low health literacy associated with adverse health outcomes. The role of health literacy in the transition from pediatric to adult care has been less well studied. Among adolescents and young adults with spina bifida, high rates of unsuccessful transition have been shown, but how patient health literacy affects transition readiness remains unknown. Objective: To determine whether health literacy is associated with transition readiness in adolescents and young adults with spina bifida. Design, Setting, and Participants: This cross-sectional study involved collection of patient-reported questionnaires between June 2019 and March 2020 at a multidisciplinary spina bifida center at a single, free-standing children's hospital. Patient demographic and clinical characteristics were obtained from medical record review. Patients were aged 12 years or older with a diagnosis of spina bifida (myelomeningocele and nonmyelomeningocele) whose primary language was English or Spanish. Data analysis was performed from October 2020 to March 2021. Exposures: Health literacy as assessed by the Brief Health Literacy Screening Tool. Main Outcomes and Measures: The primary outcome was total Transition Readiness Assessment Questionnaire (TRAQ) score, normalized into units of SD. Nested, multivariable linear regression models assessed the association between health literacy and TRAQ scores. Results: The TRAQ and Brief Health Literacy Screening Tool were completed by 200 individuals (median [range] age, 17.0 [12.0-31.0] years; 104 female participants [52.0%]). Most of the patients were younger than 18 years (110 participants [55.0%]) and White (136 participants [68.0%]) and had myelomeningocele (125 participants [62.5%]). The mean (SD) TRAQ score was 3.3 (1.1). Sixty-six participants (33.0%) reported inadequate health literacy, 60 participants (30.0%) reported marginal health literacy, and 74 participants (37.0%) reported adequate health literacy. In univariable analysis, health literacy, age, type of spina bifida, level of education, self-administration vs completion of the questionnaires with assistance, ambulatory status, and urinary incontinence were associated with total TRAQ score. In all nested, sequentially adjusted, multivariable models, higher health literacy remained a significant, stepwise, independent variable associated with higher TRAQ score. In the fully adjusted model, having adequate compared with inadequate health literacy was associated with an increase in normalized TRAQ score of 0.49 SD (95% CI, 0.19-0.79). Conclusions and Relevance: Patient-reported transition readiness is associated with health literacy, even after adjustment for education level and other demographic and clinical factors. Developing and implementing health literacy-sensitive care programs during the transition process may improve patient transition readiness.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.403
Teacher spread0.375 · 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

Labeled directly by 2 models reading the full record.

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

Citations36
Published2021
Admission routes1
Has abstractyes

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