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Record W2122881261 · doi:10.5430/jnep.v4n1p177

Fostering professional development and improving the psychological health of nurses through the North American certification process in critical care

2013· article· en· W2122881261 on OpenAlexaffvenue
Geneviève Beaudoin, Marie Alderson, Lyne St‐Louis

Bibliographic record

VenueJournal of Nursing Education and Practice · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsJewish General HospitalUniversité de Montréal
Fundersnot available
KeywordsCertificationCINAHLNursingSpecialtyAutonomyProfessional developmentMedicineJob satisfactionHealth careMEDLINEPsychologyMedical educationFamily medicinePsychological interventionPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Background : National certification in a nursing specialty is reported, in some articles, as a key approach to generate psychological and professional growth of nurses. Intensive care units generate, by their structure and the complexity of the clinical situations encountered, a high level of physical and psychological stress for nurses. These stressors affect job satisfaction, retention, and job attraction toward those intensive care units. One of the solutions proposed, in the literature, is continuous education to improve nurses’ personal and professional development. Nurses gain the opportunity to enhance their autonomy and control over practice through certification, which can lead to empowerment. Methodology : A critical review of the literature was conducted for a master’s program to explore the impacts of the certification process on nurses as well as on patients and organizations. North-American manuscripts published from 2001 to 2013 were selected using Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline (PubMed), Proquest, PsychINFO, and EMBASE (Ovid) databases. University library catalogues and national associations’ Internet resources were also consulted. Papers were classified by type of document and main subject. Overall, 105 articles were found and 45 excluded. Principal Findings : Studies have shown that the certification process in a specific specialty such as critical care has been beneficial for nurses, patients, and organizations. It increases nurses’ professional satisfaction, autonomy, self-confidence, and empowerment. The certification process is also potentially linked to a decrease in morbidity and patient mortality. Finally, on an organizational level, the certification process is linked to an increase in recruitment and retention of nurses. However, most studies have used correlational and retrospective study designs, which might be considered biased. The literature review elicits the lack of research that can establish causal links between the variables and the quasi absence of quantitative benefits related to certification. Conclusions : From the articles reviewed, it can be hypothesized that the certification process could potentially generate many benefits and represent a promising approach to enhancing empowerment for intensive care nurses. Organizations and patients can also benefit from knowledgeable, satisfied, and empowered health care professionals. In addition, there are potential benefits for the organizations if they provide the necessary support systems to promote and help nurses throughout the certification process. This can ultimately improve the psychological health of nurses. Researchers should seek evidence-based studies to support the information provided in the literature review.

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)0.009
metaresearch head score (Gemma)0.029
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.291
GPT teacher head0.603
Teacher spread0.312 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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