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Record W2808153408 · doi:10.2196/10440

Trustworthiness, Readability, and Suitability of Web-Based Information for Stroke Prevention and Self-Management for Korean Americans: Critical Evaluation

2018· article· en· W2808153408 on OpenAlexvenueno aff
Mikyoung A. Lee, Cha‐Nam Shin, Kyungeh An

Bibliographic record

VenueInteractive Journal of Medical Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
FundersTexas Woman's University
KeywordsReadabilityStroke (engine)TrustworthinessMedicineInternet privacyComputer scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Websites are common sources of health information to stroke survivors and caregivers for continual management of stroke and its long-term sequelae. The presence of risk factors and mortality rates related to stroke are high in Korean Americans. A vast majority of this group are active Web users and rely on the Web-based information due to lack of insurance and, thus, limited access to long-term stroke care. Thus, it is critical to evaluate existing stroke websites for their trustworthiness, readability, and suitability. OBJECTIVE: The objective of our study was to provide a systematic evaluation of stroke-related websites regarding (1) trustworthiness, (2) readability, and (3) suitability for stroke prevention and self-management for Korean Americans. METHODS: We selected a total of 156 websites using search terms "stroke," "CVA," "중풍 (jungpung)," and "뇌졸증 (noejoljung)" on Google and Yahoo. After eliminating duplicates and irrelevant websites (n=116), we evaluated a total of 42 websites (15 in English and 27 in Korean) using the National Library of Medicine's health website's evaluation tool for trustworthiness; Simple Measure of Gobbledygook for readability; and Suitability Assessment of Materials for suitability. All three instruments used the 3-point Likert scale: superior (=2), adequate (=1), or not suitable (=0). RESULTS: Of the 42 websites evaluated, we rated 62% (26/42) websites as "adequate" or above for trustworthiness. The information on 48% (20/42) websites had not been updated for more than a year, which indicates poor currency; 33% (14/42) websites failed to provide the publisher and contact information, which yields poor authority; 50% (21/42) websites did not cite sources of health information, which indicates lack of accuracy. Only 2 websites met the recommended readability (5th grade or lower reading level). The suitability was also suboptimal; only 1 website was rated as "superior"; 60% (25/42) websites were "adequate," and 38% (16/42) were "not suitable." Most websites were limited in graphical directions, interactive motivations for desired healthy behaviors, and multiple language translations. CONCLUSIONS: The existing stroke-related websites in either English or Korean are trustworthy and suitable, yet precise citation of evidence-based information will improve trustworthiness. The contents requiring high reading level may set a barrier to the utilization of Web-based health information for Korean Americans with a lower level of education. In addition, supplementing graphical examples, interaction features, and culturally relevant information in multiple languages are the areas for improvement in suitability. The improved features can reduce the reading burden of stroke patients or caregivers and build their confidence when applying the information for stroke management in daily living. These strategies are especially crucial to Korean Americans, who inevitably seek Web-based information to fill the gap between their demand and access to health care for a long-term self-management after a 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)0.044
metaresearch head score (Gemma)0.045
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0440.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.120
GPT teacher head0.590
Teacher spread0.470 · 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 designOther design
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

Citations8
Published2018
Admission routes1
Has abstractyes

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