Board 224 - Program Innovations Abstract Improving Outcomes in Perioperative Nursing - Improving Curriculum, Meeting Staffing Shortages and Building Innovative Partnerships (Submission #485)
Notice bibliographique
Résumé
Introduction/Background The professional literature is well documented with citations that predict a future perioperative nursing shortage not only in the United States, but throughout the world. Only a small percentage of all nurses are perioperative and it is estimated that nearly 20% of those employed will retire in the next five years. This shortage is compounded by the absence of a perioperative curriculum in most nursing programs. Because of the amount of information included in both ADN and BSN programs, courses in clinical specialty areas are offered less often. In addition, clinical rotations in perioperative settings have been eliminated form most baccalaureate nursing curricula. This absence of perioperative courses in nursing programs also reduces new graduate interests in this specialty area and awareness of employment opportunities in the operating room environment. Finally, the cost of recruiting, hiring and orienting nurses to a medical specialty is difficult to calculate. According to the literature, the cost is estimated from $59-64,000. The difficulty includes application, recruitment, interviewing and hiring process. Further costs are associated with the extensive length and experience requirement to orient a new perioperative nurse to be a productive member of the surgical team. In order to proactively plan for this shortage, a private University’s Undergraduate Nursing Program and a large, mid-western Hospital system entered into an innovative partnership. Assembled in April 2012 to explore, develop and implement a perioperative course, the team included faculty from Otterbein University and staff from three OhioHealth hospital campuses, Organizational Development and Experiential Learning. Traditionally, undergraduate nursing education has not emphasized process or experiential learning groups as a way to facilitate students learning the skills required to understand group processes and to function effectively in teams. These learning environments are critical for successful perioperative staff. In response, a curriculum applying experiential learning theory and using simulation instead of traditional learning Methods was designed. The hands-on course, offered in a condensed semester called a J-term, incorporated online activities, lecture, simulation and clinical experiences in a small group setting. Methods The innovative elective course developed by the cross-disciplinary team resulted in positive outcomes. The course was added to the undergraduate nursing curriculum for a second J-term in 2014 and a full semester in 2015 at the University. Additionally, the University intends to use this planning model to pilot other elective courses for alternate specialty areas. Most notable outcome was OhioHealth hired three of the four senior nursing students completing the elective course as perioperative nurses. Hiring these nursing students reduced the human resource costs of recruiting and hiring specialty nurses. In each case, the hiring managers indicated a reduced orientation length of two months for these new hires. This reduction in orientation time is equivalent to approximately $30,000. Further outcomes include opportunities to offer senior practicum and nursing electives in various specialty areas within the hospital system and improved communication among and within perioperative areas across the participating hospital campuses. Results: Conclusion The collaboration between multiple OhioHealth hospital campuses, experiential learning, organizational development and academic partnership staff was new to the system. The success of the collaboration demonstrates the need, opportunity and quality of further cross-disciplinary partnerships, not only in management of academic opportunities but in creatively meeting staffing needs. This model can provide a system approach to ensure the future of staffing for our operating rooms as well as serve as a model to reduce orientation time in specialty areas where orientation is often extensive. References 1. Kinyon, J., Keith, C. B., Pistole, M. C. 2009. A collaborative approach to group experiential learning with undergraduate nursing students. Journal of Nursing Education. 48.3:165-6. 2. Lisko, S. A., O’Dell, V.
2010. Integration of theory and practice: experiential learning theory and nursing education. Nursing Education Perspectives. 31.2:106-8. 3. Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice Hall. 4. Bambini, D., Washburn, J., Perkins, R. 2009. Outcomes of clinical simulation for novice nursing students: communication, confidence, clinical judgment. Nursing Education Perspectives. 30.2: 79-82. 5. Pugsley, K.E., Clayton, L. H. (2003) Traditional lecture or experiential learning: Changing student attitudes. Journal of Nursing Education 42.11:520-3. 6. Scherer, Y.K., Bruce, S.A., Graves, B.T., Erdley, W. S. (DATE). Acute care nurse practitioner education: enhancing performance through the use of clinical simulation. Buffalo, The State University of New York, School of Nursing, Buffalo, NY. CONFIRM CITATION. 7. Holmes, S.P. 2004. Implementing a perioperative nursing elective in a baccalaureate curriculum. AORN Jour. 80:5. 902-910. 8. Happell, B. 2000. Student interest in perioperative nursing practice as a career. AORN Journ 71. 600-605. 9. Kinyon, J., Keith, C.B., Pistole, M.C. 2009. A collaborative approach to group experiential learning with undergraduate nursing students. Jour of Nurs Education 48.3:165-6. 10. Bambini, D. Washburn, J., Perkins, R. (2009). Outcomes of clinical simulation for novice nursing students: Communication, confidence and clinical judgment. Nursing Educ Perspectives 30.2: 79-82. 11. Pugsley, K.E. and Clayton, L.H. (2003). Traditional lecture or experiential learning: changing student attitudes. Jour of Nurs Educ 42.11:520-523. 12. Mullen, L. and Byrd, D. (2013). Using simulation training to improve perioperative patient safety. AORN Jour. 97.4: 419-427. 13. Messina, B.M., Ianniciello, J.M. and Escallier, L.A. 2011. Opening the doors to the OR: Providing students with perioperative clinical experiences. AORN Jour 94.2: 180-188. 14. New Zealand Nurses Organisation. 2010. Shortage of perioperative nurses predicted. Kai Tiaki Nursing New Zealand. 16.9: 9. 15. Storen, I. and Hanssen, I. 2011. Why do nurses choose to work in the perioperative field? AORN Jour 94.6: 578-589 16. Wilson, G. 2012. Redesigning OR Orientation. AORN Journal. 95.4: 453-462. 17. Claridge, S. 2012. Reintroducing nursing students to the perioperative environment. The Dissector. 40.3: 40-42. 18. Willemsen-McBride, T. 2010. Preceptorship planning is essential to perioperative nursing retention: Matching teaching and learning styles. Canadian Operating Room Nursing Journal. 28:1. 10-11, 16, 18-21. Disclosures None.
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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 | 0,005 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,324 | 0,101 |
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 ».