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Record W7009044502

Determining the Level of Health Literacy and Exploring Associated Contextual Factors in Recent Minor Ischemic Stroke Survivors Returning to the Community

2024· dissertation· en· W7009044502 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2024
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHealth literacyMinor (academic)Stroke (engine)LiteracyPopulationIschemic strokeHealth education
DOInot available

Abstract

fetched live from OpenAlex

Background: In Canada, as acute ischemic stroke treatment advances and the population ages, more individuals are surviving stroke and returning home with minor deficits. Self-management education tailored to one’s health literacy level is a critical and overlooked aspect in minor ischemic stroke survivors’ recovery. During the first month after minor ischemic stroke, when the risk of recurrence is highest, minor ischemic stroke survivors experience numerous transitions and report unmet health information needs that place them at risk for poor health outcomes. Although minor ischemic stroke-specific data is lacking, American data suggests 59% of stroke survivors have marginal to inadequate health literacy at the time of hospital discharge. Low health literacy in stroke survivors has been associated with poor education retention; issues with medication administration, adherence and self-efficacy; reduced physical functioning; and depression. Increasingly it is recognized that health literacy should be considered a contextual entity. There is a need to better understand the level of health literacy and contextual factors associated with health literacy in minor ischemic stroke survivors to prevent poor health outcomes and health disparities. Purpose: This project aimed to determine the level of health literacy and contextual factors associated with health literacy in recent minor ischemic stroke survivors who were predicted to return to the community within 30 days after their stroke. Methods: This cross-sectional survey was grounded by Sorensen’s Integrated Model of Health Literacy (2012) and employed the HLS19-Q12 to measure health literacy. Contextual factors were assessed using a survey developed from a comprehensive literature review. Forty-two minor ischemic stroke survivors were recruited from the acute stroke unit and stroke rehabilitation unit and completed the questionnaires. Statistical analyses were completed in SPSS. Summary statistics of the HLS19-Q12 scores in minor ischemic stroke survivors were reported and compared with HLS19-Q12 scores of the general population published in the2019-2021 Health Literacy Population Survey. Contextual factors were reported as summary statistics and associations with health literacy were analyzed using Spearman correlation, Kruskal-Wallis tests, Mann-Whitney U tests and multiple linear regression. Results: The average HLS19-Q12 score was 76.3 and similar to the results obtained in the 2019-2021 Health Literacy Populations Survey. The need for information about financial support, a higher number of total barriers to health literacy and issues related to health care provider continuity, feeling uncomfortable asking a health care provider to explain something you didn’t understand (stigma) and memory were associated with lower levels of health literacy in recent minor ischemic stroke survivors. Discussion: Although the average level of health literacy was similar to that of the general population, many participants reported problematic (26.2%) or inadequate (16.7%) health literacy. This thesis is unique in its use of a contextual perspective to explore health literacy in minor ischemic stroke survivors. This perspective enabled the identification of personal, situational and societal/environmental factors that may be critical in promoting optimal health of recent minor ischemic stroke survivors. The results of this study suggest care continuity, the patient-health care provider relationship and financial support may be critical factors. Conclusion: This data can be used to inform future equity-focused research designs and holistic interventions to support recent minor ischemic stroke survivors with lower levels of health literacy who return to the community. These interventions have the potential to reduce the risk for poor health outcomes after a minor ischemic stroke

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.120
GPT teacher head0.265
Teacher spread0.145 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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