Can you un-ring the bell? A qualitative study of how affect influences cancer screening decisions
Notice bibliographique
Résumé
BACKGROUND: The belief that early detection is the best protection against cancer underlies cancer screening. Emerging research now suggests harms associated with early detection may sometimes outweigh the benefits. Governments, cancer agencies, and organizations that publish screening guidelines have found it is difficult to "un-ring the bell" on the message that "early detection is your best protection" because of its widespread communication and enduring resonance. This study explores affective factors-and their interplay with relevant analytical factors-in public/laypersons' decision making about cancer screening. METHODS: A total of 93 people (47 men, 46 women) attended focus groups about, respectively, prostate cancer screening and breast cancer screening in two Canadian cities. RESULTS: Affective factors were a major influence on many focus group participants' decision making about cancer screening, including fear of cancer and a generalized enthusiasm for prevention/screening, and they were often inspired by anecdotes about the cancer experiences of family and friends. Affect also existed alongside more analytical factors including assessments of reduced risk in the management of any cancer diagnosis if caught early, and, for men, the belief that an unreliable test is "better than nothing," and that men deserve prostate cancer screening because women have breast and cervical cancer screening. Affective factors were particularly noticeable in the sub-groups most supportive of screening and the "early detection" message: older women who felt that mammogram screening should begin at age 40 rather than 50, and older men who felt that prostate cancer screening should be expanded beyond its current unorganized, opportunistic usage. In contrast, younger participants displayed less affective attachments to "early detection" messages and had greater concerns about harms of screening and were more receptive to nuanced messages informed by evidence. CONCLUSION: Policymakers attempting to communicate more nuanced versions of the "early detection" message need to understand the role of affect alongside other judgments brought into laypersons' decision making processes and anticipate how affective responses to their messages will be shaped, transformed, and potentially subverted by external forces beyond their control. Particularly overt external factors are campaigns by cancer advocacy organizations actively promoting breast and prostate cancer awareness and screening to younger women and men using affectively-charged messages.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».