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Record W6930617785 · doi:10.5281/zenodo.10906290

Exploring the Influence of Geriatric Nurse Practitioners on Nurses' Perceived Barriers, Beliefs, and Implementation of Evidence-Based Practice in Geriatric Home Healthcare Settings in Israel

2024· article· en· W6930617785 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHealth carePopulation ageingQuality (philosophy)Scope (computer science)GeriatricsGerontological nursingPopulationScope of practice

Abstract

fetched live from OpenAlex

Investigating the influence of geriatric nurse practitioners (GNPs) on nurses' perceived barriers, beliefs, and implementation of evidence-based practice (EBP) in geriatric care settings in Israel would be a significant research endeavor. Exploring the influence of Geriatric Nurse Practitioners (GNPs) on nurses' perceived barriers, beliefs, and implementation of evidence-based practice (EBP) in geriatric care settings in Israel is a significant area of research with implications for improving the quality of care for older adults Evidence-based practice (EBP) in nursing refers to performing a systematic search for and a critical appraisal of the recent best evidence to answer a burning clinical question. The use of internal evidence based on outcome evaluations as part of clinical experience has also been accommodated into the scope of the definition of EBP. Outcome evaluations are primarily performed in quality improvement projects often implemented in clinical practice. EBP uptake in various healthcare settings is a crucial strategy for improving healthcare quality and patient outcomes, reducing healthcare costs, and empowering clinicians. Home healthcare refers to providing healthcare services to patients in their homes instead of hospital departments. Home healthcare is an innovative strategy that is widely implemented in Western countries like the United States, United Kingdom, Canada, and Australia as a way of curbing high healthcare costs and meeting the demand for healthcare services due to the increase in aging populations, increase in chronic morbidity, and the high workloads in hospital departments. In Israel, home healthcare is in its infancy. Still, due to the significant increase in the aged population and its success in other countries, it has received considerable public attention and political support. In Israel, older people aged 65 and above comprise approximately 11% of the total population, but the number of older people has been expanding rapidly in recent years An expected increase in the geriatric population in 2050 is about 14% and about 2 million Objectives: The purpose of the study is to examine whether the presence of a GNP in a home healthcare service in Israel can positively impact the uptake of EBP by nursing generalists. To explore nurses’ barriers and facilitators of EBP implementation in home healthcare settings in Israel. To examine the relationship between nurses’ perceived EBP barriers, EBP beliefs, EBP implementation, and the presence/absence of geriatric nursing practitioner. To examine the strategies GNPs could use to influence nurse generalists to implement EBP in routine care in home healthcare settings. Methodology: The sources of information included PubMed, EMBASE, Web of Science, and Google Scholar. The review focused on studies published within the past five years (2018-2023) in reputable peer-reviewed journals in English.

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)0.010
metaresearch head score (Gemma)0.024
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 score0.021
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.328
Teacher spread0.292 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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