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Enregistrement W2327569787 · doi:10.1097/ncc.0b013e31820254db

Does Increased Patient Awareness Improve Accrual Into Cancer-Related Clinical Trials?

2011· article· en· W2327569787 sur OpenAlexaff
Carla Stiles, Laureen Johnson, Darlene Whyte, Tevi Helland Nergaard, Jane Gardner, Jackson Wu

Notice bibliographique

RevueCancer Nursing · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensAlberta Health Services
Organismes subventionnairesHealth Research Board
Mots-clésMedicineAccrualClinical trialMEDLINEOncologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

In Brief Background: Oncology literature cites that only 2% to 4% of patients participate in research. Up to 85% of patients are unaware that clinical trials research is being conducted at their treatment facility or that they might be eligible to participate. Objectives: It was hypothesized that patients' satisfaction with information regarding clinical trials would improve after targeted educational interventions, and accruals to clinical trials would increase in the year following those interventions. Methods: All new patients referred to the cancer center over a 4-month period were mailed a baseline survey to assess their knowledge of clinical research. Subsequently, educational interventions were provided, including an orientation session highlighting clinical trials, a pamphlet, and a reference to a clinical trials Web site. A postintervention survey was sent to the responders of the initial survey 3 months after the initial mailing. Results: Patient satisfaction with information significantly increased after the interventions. There was no increase in subsequent enrollment in clinical trials. Patients who indicated an inclination to participate in clinical trials tended to have greater satisfaction with the information they received. Conclusions: A set of educational interventions designed for cancer patients significantly improved their satisfaction with information on clinical research, but did not improve clinical trial enrollment of these participants as of 1 year after the study. Implications for Practice: The development of educational interventions may be justified, but such interventions may require prolonged implementation to establish benefit. Information relating to research may be most effectively delivered by patients' primary cancer care providers. Background: Oncology literature cites that only 2% to 4% of patients participate in research. Up to 85% of patients are unaware that clinical trials research is being conducted at their treatment facility or that they might be eligible to participate. Objectives: It was hypothesized that patients' satisfaction with information regarding clinical trials would improve after targeted educational interventions, and accruals to clinical trials would increase in the year following those interventions. Methods: All new patients referred to the cancer center over a 4-month period were mailed a baseline survey to assess their knowledge of clinical research. Subsequently, educational interventions were provided, including an orientation session highlighting clinical trials, a pamphlet, and a reference to a clinical trials Web site. A postintervention survey was sent to the responders of the initial survey 3 months after the initial mailing. Results: Patient satisfaction with information significantly increased after the interventions. There was no increase in subsequent enrollment in clinical trials. Patients who indicated an inclination to participate in clinical trials tended to have greater satisfaction with the information they received. Conclusions: A set of educational interventions designed for cancer patients significantly improved their satisfaction with information on clinical research, but did not improve clinical trial enrollment of these participants as of 1 year after the study. Implications for Practice: The development of educational interventions may be justified, but such interventions may require prolonged implementation to establish benefit. Information relating to research may be most effectively delivered by patients' primary cancer care providers.

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)0,008
score de la tête « metaresearch » (Gemma)0,020
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,814
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0080,020
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,638
Tête enseignante GPT0,655
Écart entre enseignants0,017 · 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.

Devis d'étudeAutre devis
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

Citations13
Publié2011
Routes d'admission1
Résumé présentoui

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