156 The portrayal of osteoarthritis in the UK national newspapers: a preliminary systematic content analysis
Notice bibliographique
Résumé
Background: The way the media communicate health-related information has the potential to influence attitudes, beliefs, and behaviours in society. The national newspapers are one source with significant readership across the United Kingdom (UK). Previous studies have examined newspaper articles about physical and mental illnesses, and highlight a tendency to present information in a sensationalized or skewed manner. The representation of gout and rheumatoid arthritis have been examined previously, but there are currently no published studies focusing on the portrayal of osteoarthritis in the newspapers. To address this gap in knowledge, the objective of this study was to explore, examine and systematically analyse the portrayal of osteoarthritis in the UK national newspapers. Methods: This study was undertaken as the first author’s 8-week internship project with Versus Arthritis and the University of Southampton. The Nexis UK database of 16 UK national newspapers was searched for articles with ‘osteoarthritis’ in the title and/or lead paragraph published between July 10th, 2017 - July 10th, 2018 either in print or online. Articles about humans that made a statement or claim pertaining to osteoarthritis were included. Duplicates were excluded. Thematic analysis was undertaken, aided by NVivo 12 Pro software. Results: The Nexis search yielded 204 articles, of which 100 met the eligibility criteria and were used in this preliminary analysis. 21% were from tabloid, 72% from middle market, and 7% from broadsheet/quality newspapers. Osteoarthritis was frequently framed as prevalent, incurable, and with a substantial negative impact on the individual and/or on society. ‘Pain’ was the most commonly referenced symptom, and many articles discussed recommendations to help prevent or manage pain (e.g. diet, supplements, exercise, medication). Three key themes were identified: negative language applied to describe the experience of life with osteoarthritis, positive language applied to present research and product developments, and simplified depictions of interventions (i.e. self-management strategies seem easy/accessible). Data that contributed to the first theme were drawn from across all three categories of newspapers, while the latter two themes reflected content more typically found in the middle market and tabloid newspapers. Conclusion: This study examined and described how osteoarthritis has recently been portrayed in UK national newspapers. The limitations and challenges included short immersion time, analysis of text only, and ambiguity of references to ‘arthritis’ in many articles. Further extended data analysis will generate more in-depth understanding as this was a time-limited preliminary study, and requires ongoing collaboration with Patient and Public Involvement contributors to explore how media messages are received. Future work may incorporate analysis of images that accompany the text of an article to provide additional insight into the article’s overall impact. Better understanding media messages could facilitate improvements in respectful reporting, knowledge translation and dissemination of information. Disclosures: K. Inouye: None. H. Lempp: None. C. Brooks: None. E. Crang: None. C. Ballinger: None. C. Backman: None. J. Adams: None.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 tête enseignante, 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 ».