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Record W2797253190 · doi:10.17483/2368-6669.1108

Sense of Coherence, a Worthy Factor Toward Nursing Student and New Graduate Satisfaction With Nursing, Goal Setting Affinities, and Coping Tendencies

2018· article· en· W2797253190 on OpenAlexaffvenueabout
Shannon Dames, Stephen Javorski

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsBurnoutFeelingPsychologyStressorNursingCoping (psychology)AttritionMedicineMedical educationPedagogySocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

Background: Nursing student readiness for practice is a relevant topic for educators aimed to ready students for a difficult practice environment, and healthcare employers challenged with the high attrition rates of new graduates. The literature suggests that stressors toward burnout may begin in the undergraduate setting with student nurses experiencing feelings of burnout being at significantly higher risk of leaving their position after only 10 to 15 months (Rudman & Gustavsson, 2012; Rudman, Gustavsson, & Hultell, 2014). Readiness for practice as a student informs how new graduate nurses will come into the practice environment. Their sense of coherence, ability to set and achieve goals, and coping skills are important factors toward surviving and thriving in their place of work. This study includes fourth-year nursing students on their final day of school, standing at the threshold of their nursing careers. Objectives: The purpose of this study was to investigate the relationship between sense of coherence scores of nursing students upon completion of their undergraduate program with their level of satisfaction in nursing as a career choice, coping skills, and goal setting tendencies. Methods: The study uses a cross-sectional survey using quantitative and qualitative methods. Sense of coherence scores were obtained through the Orientation to Life Questionnaire (Antonovsky, 1987). In addition, data are gathered relating to age, coping habits, and goal setting tendencies. Open-ended questions are used to ascertain suggestions to enhance undergraduate curriculum efforts in the aforementioned topic areas. Data were obtained from 51 Western Canadian baccalaureate nursing students in their last day as an undergraduate. Results: Quantitative results demonstrate a positive association between sense of coherence and satisfaction in nursing as a career choice; those with higher sense of coherence scores also demonstrating high levels of satisfaction with nursing. Those who regularly abuse substances to cope with stress were more likely to have lower sense of coherence scores. Additionally, those who were older were more likely to value formal goal setting. Qualitative data, elicited through open-ended questions within the questionnaire, suggested that students want more focused and student-centered curriculum on self-awareness, coping skill development, and goal ownership. Conclusions: Sense of coherence is a significant factor for nursing students prior to practice entry. Specifically, it relates to their satisfaction with nursing as a career choice and their risks of engaging in substance abuse to cope with workplace stressors. In addition, age and goal-setting tendencies were also positively correlated. These findings are relevant to undergraduate student and educator practice readiness efforts and to new graduate nurse retention efforts.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.115
GPT teacher head0.496
Teacher spread0.382 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes3
Has abstractyes

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