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Record W2339932574 · doi:10.5430/jnep.v6n9p1

Understanding hand hygiene behavior in a pediatric oncology unit in a low- to mid-income country

2016· article· en· W2339932574 on OpenAlexvenueno aff
Miriam L. González, Ruthbeth Finerman, Kyle M. Johnson, Mario Melgar, María Mercedes Somarriba, Federico Antillón‐Klussmann, Miguela A. Caniza

Bibliographic record

VenueJournal of Nursing Education and Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
FundersNational Cancer InstituteAmerican Lebanese Syrian Associated Charities
KeywordsFocus groupPsychological interventionHygieneNursingPromotion (chess)MedicineQualitative researchIntervention (counseling)WorkloadFamily medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVE: A qualitative method study identified perceived barriers and motivations for hand hygiene (HH) practice in a pediatric oncology unit in Guatemala. METHODS: Data collection included focus groups with participants grouped by job type. Focus group responses were assessed using content analysis. Participants included nurse supervisors, registered nurses, auxiliary nurses, physicians, and auxiliary and support staff and volunteers (n=55). RESULTS: Themes emerged from participant responses, providing a framework to develop and implement targeted interventions to improve HH. Perceived barriers to HH included the following themes: inconsistent HH supplies, time pressures related to workload, lack of HH training for some healthcare workers and patients' families; negative social reactions after reminding others to practice HH; and cultural traditions shaping patients' families' hygiene. Motivations for HH practice included two themes: patient protection and self-protection. Some of these themes were unique to this culture and clinical setting. Recommendations included a preference for visual aids rather than verbal reminders (e.g. HH promotion signage, demonstrations of HH), and disclosure of compliance rates. CONCLUSIONS: The research team concluded that the main barriers and motivations for HH, including culturally-unique and site-specific factors, were identified and used for subsequent HH compliance improvement such as education. Intervention post focus group concentrated in HH education of healthcare providers using e-learning methodology.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.147
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.180
GPT teacher head0.480
Teacher spread0.300 · 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 teacher head, 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

Citations14
Published2016
Admission routes1
Has abstractyes

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