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Record W4312066441 · doi:10.1186/s12931-022-02290-5

Health literacy in asthma and chronic obstructive pulmonary disease (COPD) care: a narrative review and future directions

2022· review· en· W4312066441 on OpenAlexafffund
Iraj Poureslami, J. Mark FitzGerald, Noah Tregobov, Roger Goldstein, M. Diane Lougheed, Samir Gupta

Bibliographic record

VenueRespiratory Research · 2022
Typereview
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsSt. Michael's HospitalInstitute for Clinical Evaluative SciencesQueen's UniversityWest Park Healthcare CentreUniversity of TorontoVancouver Coastal HealthVancouver Coastal Health Research InstituteCanadian MPS Society for Mucopolysaccharide and Related DiseasesKingston Health Sciences CentreUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsAsthmaCOPDMedicineHealth literacyDiseaseNarrative reviewPulmonary diseaseIntensive care medicineHealth careService delivery frameworkMEDLINEPatient educationSelf-managementFamily medicineService (business)ImmunologyPathologyComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

Respiratory self-care places considerable demands on patients with chronic airways disease (AD), as they must obtain, understand and apply information required to follow their complex treatment plans. If clinical and lifestyle information overwhelms patients' HL capacities, it reduces their ability to self-manage. This review outlines important societal, individual, and healthcare system factors that influence disease management and outcomes among patients with asthma and chronic obstructive pulmonary disease (COPD)-the two most common ADs. For this review, we undertook a comprehensive literature search, conducted reference list searches from prior HL-related publications, and added insights from international researchers and scientists with an interest in HL. We identified methodological limitations in currently available HL measurement tools in respiratory care. We also summarized the issues contributing to low HL and system-level cultural incompetency that continue to be under-recognized in AD management and contribute to suboptimal patient outcomes. Given that impaired HL is not commonly recognized as an important factor in AD care, we propose a three-level patient-centered model (strategies) designed to integrate HL considerations, with the goal of enabling health systems to enhance service delivery to meet the needs of all AD patients.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.003
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.159
GPT teacher head0.555
Teacher spread0.396 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations40
Published2022
Admission routes2
Has abstractyes

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