The Quality and Cultural Safety of Online Osteoarthritis Information for Affected Persons and Health Care Professionals: Content Analysis
Notice bibliographique
Résumé
BACKGROUND: Osteoarthritis is more prevalent and severe among women than among men, but women are less likely to access early diagnosis and first-line management, particularly racialized immigrant women. Previous research advocated for greater access to culturally safe osteoarthritis information for both diverse women and health care professionals. The internet can reduce disparities by facilitating access to health information, but online materials can vary in quality. OBJECTIVE: This study aimed to assess the quality and cultural safety of online osteoarthritis materials for persons affected by osteoarthritis and health care professionals. METHODS: Content analysis was used to describe publicly available materials on osteoarthritis first-line management developed by Canadian organizations for affected persons or health care professionals. Searching, screening, and data extraction were performed in triplicate. We identified materials by searching Google, MEDLINE, and references of osteoarthritis-relevant guidelines and policies, and consulting our research team and collaborators. We assessed quality using DISCERN (University of Oxford) and a compiled framework for affected persons and health care professionals. We compiled frameworks to assess cultural safety. We derived an overall score, categorized as low (<50%), moderate (50%-69%), or high (≥70%+) for criteria met. RESULTS: After screening 176 items and eliminating 129, we included 47 osteoarthritis materials published between 2013 and 2023. Of those, 43 were for persons with osteoarthritis, most were developed by charities (n=31, 72.1%), based on expert advice (n=16, 55.2%), and in the format of booklets (n=15, 34.9%) or text on web pages (n=10, 23.3%). Of those, 23.3% (10/43) low, 46.5% (20/43) moderate, and 30.2% (13/43) high scored quality; and 25.6% (11/43), 48.8% (21/43), and 25.6% (11/43) were rated low, moderate, and high cultural safety, respectively. Of the 47 included osteoarthritis materials, 4 were for health care professionals. They were developed by a consortium (2/4, 50%), a charity (1/4, 25%), and a professional society (1/4, 25%), and largely based on expert advice (3/4, 75%). The format included infographics (3/4, 75%) and text on web pages (1/4, 25%). Of those, 25% (1/4), 25% (1/4), and 50% (2/4) were rated low, moderate, and high quality, respectively; and all were rated low for cultural safety. Quality and cultural safety did not appear to be associated with the characteristics of osteoarthritis materials (eg, type of developer, development method, and format). CONCLUSIONS: Overall, included osteoarthritis materials for persons with osteoarthritis and health care professionals were of low to moderate quality and cultural safety. These findings reveal the need for further efforts to improve existing or develop new osteoarthritis materials for both affected persons, including ethnoculturally diverse immigrant women, and health care professionals. Further research is needed to assess the quality and cultural safety of osteoarthritis materials developed by organizations outside of Canada and to establish a framework or instrument to assess cultural safety in the osteoarthritis context.
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 | 0,062 | 0,196 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,032 | 0,032 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».