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Record W4411157608 · doi:10.63163/jpehss.v3i2.443

Nurses’ Knowledge and Practice Regarding Needle Stick Injuries at District Head Quarter Hospital and Shahida Islam Teaching Hospital Lodhran

2025· article· en· W4411157608 on OpenAlexaboutno aff
Abdul Ghafoor, Rafia Ikram, S.M. John, Humaira Afzal, Tahira Azam, Fareeha Rehan, Qurat ul Ain

Bibliographic record

VenuePhysical Education Health and Social Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)IslamTeaching hospitalHead (geology)MedicineDistrict hospitalNursingFamily medicineMedical educationHistoryArchaeology

Abstract

fetched live from OpenAlex

AbstractNeedle stick injuries (NSIs) are a significant occupational hazard for nurses, exposing them to bloodborne pathogens such as HIV, hepatitis B, and hepatitis C. This cross-sectional study assessed the knowledge and practices of 91 nurses at District Head Quarter Hospital and Shahida Islam Teaching Hospital Lodhran, revealing that while 65.93% had good knowledge of NSIs, 26.37% had poor knowledge, and 7.70% lacked awareness. Although 74.73% followed safe practices, 15.38% did not adhere to protocols, and underreporting remained prevalent due to fear, lack of awareness, and administrative barriers. The findings highlight the need for enhanced training, stricter safety measures, and institutional support to mitigate NSI risks and improve post-exposure management.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.019
GPT teacher head0.431
Teacher spread0.411 · 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.

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
Published2025
Admission routes1
Has abstractyes

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