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Enregistrement W2259488672 · doi:10.4103/2347-5625.160971

Perspectives from older adults receiving cancer treatment about the cancer-related information they receive

2015· article· en· W2259488672 sur OpenAlexaff
Margaret I. Fitch, Alison McAndrew, Tamara Harth

Notice bibliographique

RevueAsia-Pacific Journal of Oncology Nursing · 2015
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Literacy and Information Accessibility
Établissements canadiensSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésCancerPaceMedicineConversationFamily medicineCancer treatmentHealth careHealth professionalsCancer survivorGerontologyPsychologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Objective:Cancer patients have reported that information plays a significant role in their capacity to cope with cancer and manage the consequences of treatment. This study was undertaken to identify the importance older adults receiving cancer treatment assign to selected types of cancer-related information, their satisfaction with the cancer-related information they received, and the barriers to effective information provision for this age group.Methods:This study was conducted in two phases with separate samples. Six hundred and eighty-four older cancer patients receiving treatment completed a standardized survey and 39 completed a semi-structured interview to gather perspectives about cancer-related information. Data were analyzed for 65-79 years and 80+ year groups.Results:Information topics about their medical condition, treatment options, and side effects of treatment were rated as most important by the older cancer patients. Women assigned a higher importance ratings than men to information overall (t = 4.8, P < 0.01). Although participants were generally satisfied with the information, they received many described challenges they experienced in communicating with health care professionals because of the medical language and fast pace of speaking used by the professionals.Conclusions:The older cancer patients in this study endorsed the same topics of cancer-related information as most important as has been reported in studies for other age groups. However, this older group recommended that, during their interactions with older individuals, health care professionals use fewer medical words, speak at a slower pace, and provide written information in addition to the actual conversation. Cancer patients have reported that information plays a significant role in their capacity to cope with cancer and manage the consequences of treatment. This study was undertaken to identify the importance older adults receiving cancer treatment assign to selected types of cancer-related information, their satisfaction with the cancer-related information they received, and the barriers to effective information provision for this age group. This study was conducted in two phases with separate samples. Six hundred and eighty-four older cancer patients receiving treatment completed a standardized survey and 39 completed a semi-structured interview to gather perspectives about cancer-related information. Data were analyzed for 65-79 years and 80+ year groups. Information topics about their medical condition, treatment options, and side effects of treatment were rated as most important by the older cancer patients. Women assigned a higher importance ratings than men to information overall (t = 4.8, P < 0.01). Although participants were generally satisfied with the information, they received many described challenges they experienced in communicating with health care professionals because of the medical language and fast pace of speaking used by the professionals. The older cancer patients in this study endorsed the same topics of cancer-related information as most important as has been reported in studies for other age groups. However, this older group recommended that, during their interactions with older individuals, health care professionals use fewer medical words, speak at a slower pace, and provide written information in addition to the actual conversation.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,320
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,052
Tête enseignante GPT0,453
Écart entre enseignants0,401 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2015
Routes d'admission1
Résumé présentoui

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