Kidney Transplant Education using the Explore Transplant Ontario Package
Notice bibliographique
Résumé
Introduction Improving transplant education for patients with end stage kidney disease (ESKD) may improve their access to kidney transplantation (KT). Non-Caucasian patients with ESKD are less likely to receive KT compared to Caucasian patients, and may benefit more from such interventions. Explore Transplant Ontario (ETO) is a KT education tool, utilizing informational brochures alongside patient and living donor testimonial videos to motivate patients and potential donors to consider KT and donation. In a pilot study, we assessed the impact of ETO use on KT knowledge, and investigated ethnical disparities between groups. Materials and Methods In this non-randomized, parallel arm controlled study, 230 in-centre dialysis patients were recruited from two hospital units. Patients in the intervention arm (n=124) received ETO packages and regular follow-up to address KT-related questions; control group received education as usual. Patients across both sites completed questionnaires at baseline, 6 and 9 months afterwards, with interim follow-up visits. KT knowledge was assessed with a 19-item true/false & multiple-choice questionnaire, scored 0-19, with higher scores indicating higher KT knowledge. sssResults and Discussion Compared to the control group, patients in the intervention group were significantly older (mean age = 63 [±10] vs 55 [±14], p<0.001), more likely African Canadian, and less likely to have completed Grade 12. Baseline knowledge scores were different, with a higher score for control group (mean [SD] = 8.21 [3.7] vs 6.77 [3.4]). In the intervention arm, 66 patients watched the videos and/or read the brochures, while 58 patients only read the brochures or didn't use the package at all. Knowledge scores increased at 6- and 9-month follow-up for both groups, with significantly higher increase for the intervention group compared to control (mean increase at 6 months [SD] =1.92 [2.7] vs 0.79 [2.7], p=0.01; at 9 months=1.73 [3.3] vs 0.67 [3.0], p=0.04). The follow-up knowledge score was higher in those who watched the videos in addition to reading, compared to those who only used the package partially (mean score [SD] at 6 months = 9.5 [3.0] vs 8.1 [3.4], p=0.03; at 9 months =9.4 [3.1] vs 7.9 [2.9], p=0.04). Baseline knowledge scores tended to be lower for non-Caucasians within the study population (mean [SD] scores for Caucasians=8.26[4.0], Asians=7.6[3.6], Blacks=7.1[3.4], p=0.14). At study end, the change in knowledge score was not different between ethnic groups (mean increase [SD]: Caucasians=1.7[3.7], Asians=1.4[3.3], Blacks=1.7[3.2], p=0.907).Conclusion Transplant education using the ETO program lead to significantly higher increase in KT knowledge compared to care as usual. Non-Caucasian patients may be at risk for lower transplant baseline KT knowledge, and may benefit from more culturally tailored educational interventions. Watching the videos appears to confer the greatest educational benefit. Further research is needed to assess the impact of ETO use on KT rates, and to develop tailored interventions to address ethnic disparities.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,034 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».