A Review of Research on Physical Education Teacher Socialization from 2000-2012
Notice bibliographique
Résumé
Understanding patients' decision-making preferences is crucial for enhancing patients' outcomes. The current study aims to identify Jordanian advanced cancer patients' preferred decision-making and to explore the associated variables of the passive decision-making preference. We used a cross-sectional survey design. Patients with advanced cancer referred to the palliative care clinic at a tertiary cancer center were recruited. We measured patients' decision-making preferences using the Control Preference Scale. Patients' satisfaction with decision-making was assessed with the Satisfaction with Decision Scale. Cohen's kappa statistic was used to assess the agreement between decision-control preferences and actual decision-making, and the bivariate analysis with 95% CI and the univariate and multivariate logistic regression were used to examine the association and predictors of the demographical and clinical characteristics of the participants and the participants' decision-control preferences, respectively. A total of 200 patients completed the survey. The patients' median age was 49.8 years, and 115 (57.5%) were female. Of them, 81 (40.5%) preferred passive decision control, and 70 (35%) and 49 (24.5%) preferred shared and active decision control, respectively. Less educated participants, females, and Muslim patients were found to have a statistically significant association with passive decision-control preferences. Univariate logistic regression analysis showed that, being a male (<i>p</i> = 0.003), highly educated (<i>p</i> = 0.018), and a Christian (<i>p</i> = 0.006) were statistically significant correlates of active decision-control preferences. Meanwhile, the multivariate logistic regression analysis showed that being a male or a Christian were the only statistically significant predictors of active participants' decision-control preferences. Around 168 (84%) of participants were satisfied with the way decisions were made, 164 (82%) of patients were satisfied with the actual decisions made, and 143 (71.5%) were satisfied with the shared information. The agreement level between decision-making preferences and actual decision practices was significant (ⱪ coefficient = 0.69; 95% CI = 0.59 to 0.79). The study's results demonstrate that a passive decision-control preference was prominent among patients with advanced cancer in Jordan. Further studies are needed to evaluate decision-control preference for additional variables, such as patients' psychosocial and spiritual factors, communication, and information sharing preferences, throughout the cancer trajectory so as to inform policies and improve practice.
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 | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».