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Board 224 - Program Innovations Abstract Improving Outcomes in Perioperative Nursing - Improving Curriculum, Meeting Staffing Shortages and Building Innovative Partnerships (Submission #485)

2013· article· en· W2322421614 on OpenAlexaboutno aff
Nichole Oocumma, Richard Latham, Jason Zigmont

Bibliographic record

VenueSimulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPerioperativePerioperative nursingStaffingNursing shortageCurriculumSpecialtyMedicineNursingMedical educationGeneral partnershipNurse educationBusinessPsychologyFamily medicinePedagogySurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.324
Threshold uncertainty score0.965

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3240.101

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.464
Teacher spread0.388 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2013
Admission routes1
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