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Record W2806419350 · doi:10.1016/j.rmclc.2018.04.009

IMPLEMENTACIÓN DE BUENAS PRÁCTICAS EN ENFERMERÍA: PROGRAMA BPSO COMO HERRAMIENTA PRINCIPAL

2018· article· es· W2806419350 on OpenAlexaffabout
Alejandra Belmar, Macarena Güell, Javiera Chaparro, Doris Grinspun

Bibliographic record

VenueRevista Médica Clínica Las Condes · 2018
Typearticle
Languagees
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Los cuidados de enfermería de excelencia y a la vanguardia del conocimiento, se constituyen como un objetivo para la atención de enfermería actual. Así mismo, se busca establecer cuidados seguros y de calidad, apoyados en recomendaciones basadas en evidencia científica que proporcionen un sustento sólido para la práctica profesional. Es por esta razón que Clínica Las Condes decide adscribir al programa de buenas prácticas en Enfermería de la Registered Nurses Association of Ontario (RNAO) implementando 5 de 54 guías de buenas prácticas (BPG) generadas por esta asociación. El objetivo de este artículo es comunicar las principales estrategias de implementación, dificultades y logros alcanzados mediante el uso de guías de práctica clínica. El trabajo realizado de manera sistemática se ha facilitado mediante la formación de champions, quienes son el eslabón más importante para lograr el real uso de las prácticas basadas en evidencia y un verdadero impacto en la reducción de eventos adversos de enfermería durante la estadía del paciente en la institución de salud. El futuro del programa en Clínica Las Condes está enfocado hacia la gestión de riesgo y prevención de eventos adversos. Es allí donde el programa de buenas prácticas de RNAO asume un rol protagónico al convertirse en herramienta principal de este gran objetivo sanitario. Nursing care of excellence and the vanguard of knowledge, constitute an objective for current nursing care. Likewise, it seeks to establish safe and quality care, supported by recommendations based on scientific evidence that provide a solid basis for professional practice. It is for this reason that Clínica las Condes decides to ascribe to the program of good practices in Nursing of the Registered Nurses Association of Ontario (RNAO) implementing 5 out of 54 guides of good practices (BPG) generated by this association. The aim of this article is to communicate the main implementation strategies, difficulties and achievements achieved through the use of clinical practice guidelines. The work carried out in a systematic way has been facilitated by the formation of champions, who are the most important agent to incorporate the real use of evidence-based practices and a real impact in the reduction of adverse events of nursing during the stay of the patient in the health institution. The future of the program at Clínica Las Condes is focused on risk management and prevention of adverse events. This is where the RNAO program of good practices assumes a leading role by becoming the main tool of this great healthcare objective.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.004

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 head0.047
GPT teacher head0.454
Teacher spread0.406 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations9
Published2018
Admission routes2
Has abstractyes

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