Trustworthiness, Readability, and Suitability of Web-Based Information for Stroke Prevention and Self-Management for Korean Americans: Critical Evaluation
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,091 | 0,187 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,006 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».