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2014· letter· en· W2408347538 on OpenAlexaboutno aff
Natalie Helms, S.D. Pracyk

Bibliographic record

VenueNursing Management · 2014
Typeletter
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsnot available
Fundersnot available
KeywordsStaffingNursingUnit (ring theory)Job satisfactionPsychologyPatient satisfactionMedicineSocial psychology

Abstract

fetched live from OpenAlex

Positively changing staffing As a young nurse having recently taken on a charge nurse role, I greatly appreciated Maureen Kroning's thoughts on staffing in her article “The Domino Effect: Staffing for ‘What Is’ Versus ‘What If’” in the February issue. Kroning makes several great points in her article; she really hits the nail on the head when she states that staffing for “what is” the hospital's current census creates a number of issues, many of which can have detrimental effects on both patient and nurse satisfaction and, more important, patient safety. My hospital has drastically changed the way each unit is staffed based largely on productivity alone. The hospital's new staffing guidelines don't take into account patient acuity, patient outcome, or nurse satisfaction, much less patient safety; to be quite frank, if patient outcomes are suffering, then perhaps our hard work is simply in vain. As a charge nurse, I deal directly with staffing and understand the frustration that staffing for current patient census places on caregivers and patients alike. My unit has struggled to find a staffing solution that works well; in fact, staffing is a constant source of debate on my unit. I'm eager to share Kroning's excellent article with my unit's management in the hopes of encouraging a positive change in staffing for both employee and patient satisfaction! Thank you for publishing an article that addresses current issues faced by nursing leadership. Internationally educated nurses and American nursing programs I found the June issue's “How to Positively Integrate Internationally Educated Nurses” by Claudia DiSabatino Smith, PhD, RN, NE-BC, and Judy Ong Ho, MSN, RN, ACNS-BC, CPHQ, to be a very interesting article. I was one of a group of nurses who arrived during a nursing shortage in the late 1980s to fill open positions at a national Level 1 trauma center. The facility had an excellent program to help integrate a mix of nurses arriving from the United Kingdom, Canada, Australia, India, and the Philippines. One aspect that wasn't addressed in this particular article is the challenge faced by nurses who remain in the United States and attempt to continue their education. I had gained experience in America as a unit manager, case manager, nurse clinician assigned to a surgical service, and senior clinical nurse in both inpatient and outpatient areas. In addition, I arrived in the United States with my RN training from a London teaching hospital, two U.K. postgraduate certificates in neuroscience and intensive care nursing (6-month full-time courses), and a year of postgraduate clinical nurse experience also obtained in major London hospitals. Upon arrival to the United States, I passed the only stipulation to practice, which was the NCLEX. However, when I attempted to apply to American RN-to-BSN/MSN programs, I found that I couldn't obtain educational credit awarded toward the BSN programs because there were no comparably equivalent educational courses in the United States to measure my U.K. education against. I was advised that I could apply for a BSN but would only be considered a candidate if I started in the program at the initial undergraduate level. During my employment at my original recruiting hospital, while competing with U.S.-trained applicants, I was promoted in seniority on four occasions based on reviews of my experience and performance. The administrators valued the contributions of the international nurses and were very supportive and encouraging. However, upon seeking employment at other facilities in several different areas of the United States, I found the experience very disappointing and discouraging. My lack of U.S. training and an American degree was a definite barrier and I was told that, without a BSN, I was unqualified or not eligible for consideration for positions that I had held previously and performed competently for over 10 years. I would be interested in the area of integrating internationally educated nurses into U.S. nursing programs also being investigated. I believe this would be of benefit for retention and advancement of internationally educated nurses after arriving to the United States. Natalie Helms, RN S.D. Pracyk

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)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.6490.462

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 head0.072
GPT teacher head0.411
Teacher spread0.340 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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