Using Informatic Education Strategy to Break Through the Dilemma of Teaching Transplantation in Medical Institutions – Multidisciplinary Medical Team Perspectives
Notice bibliographique
Résumé
Background In Taiwan, the present survival rate after transplant one year are over 80%. However, the organs/ tissues donors per year in Taiwan is too less to resulting in many patients died for no longer waiting. This phenomenon is true in Taiwan, Europe and U.S.A. In the recent five years, data from the "Taiwan Organ Regisry and Sharing Center" shew that although organs/ tissues fundraising had a slight increase, the number of donors does not exhibit responding growth trend. The challenges are identifying appropriate donor, and providing good quality of organ transplantation care among health team members. As such, how to apply informatic technology education for organ transplantation professionals has been suggested. Method This project attempts to apply face-to-face indepth interviews and qualitative content analysis in 4 general hospitals and 3 medical centers. Result Total of 8 interviews were conducted during this period ). The mainly basic information is as follows: 5 female(62.5%), aged 35-45 years with a total average age of 39.88±3.06, 6 married(75.0%). In education, 2 Doctor(25.0%), 3 Master (37.5%), 2 Bachelor(25.0%). In terms of religious belief, 3 Taoism(37.5%), 2 Christian(25.0%), 2 No religious belief (25.0%). In terms of positions, 3 Physisian(37.5%), 5 Nurse(62.5%) include supervisor, nurse practioner, coordinator for each 1, Nursing expert 2, Years of funding ranged from 5 to 30 years (16.8±5.63 years). Intervewees from muldiscipline medical team showed the status and dilemma of the team to perform organ fundraising / donation/ transplantation related work, with 6 core themes. In the relevant education and training situation, the convergence of the 4 core themes. Conclusion There are still many instructional websites in Europe, the United States, Canada and Asia. Most of the related themed courses are illustrated by videos or shared as practical examples, such as pathophysiology or anatomy related topics use the 3D video as an additional textbook to help learners more easily understand and grasp the course content; Advocacy and family support related topics, use the parties to elaborate or share their mentality to help learners witness and recognize in some situations, the actual thoughts, feelings and reactions of the patient/ family member. Overall, the pattern of open participation through a full informatic interactive curriculum was not seen on any websites that were visited. The results discover the current organ fundraising/ donation/ transplantation inadequate education courses, thus fully understand the multidiscipline medical staff’s idea and need of this related issue. It is advisable to follow this study and script theory to develop a theoretical construct to develop complete curriculum framework, and establish a complete fit-in professional and ethics' organ transplantation/ informatic technology learning programs, to increase the inter-disciplinary experience exchange.
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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 | 0,021 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,011 | 0,009 |
| Communication savante | 0,008 | 0,007 |
| Science ouverte | 0,001 | 0,010 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».