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Record W2126775638 · doi:10.1177/1084822309360383

Keeping Community Health Care Workers Safe

2010· article· en· W2126775638 on OpenAlexaffabout
Darlene Hutchings, Elaine Lundrigan, Maria Mathews, Anne M. Lynch, Joanne Goosney

Bibliographic record

VenueHome Health Care Management & Practice · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHealth careNursingFeelingPatient safetyProcess (computing)Occupational safety and healthCommunity healthBusinessSign (mathematics)MedicinePsychologyPublic healthComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Organizations have a responsibility to ensure the safety of staff who provide care in the community. In a survey conducted within a regional health authority in Newfoundland, health care providers reported feeling unsafe while conducting home visits. Safety initiatives were explored, and a safety program was implemented within this region to address safety concerns. The safety program includes three key components: a risk assessment screening tool, a sign-in/sign-out system, and a buddy system. This article describes the evaluation process and outcomes of these three components. The evaluation process and outcomes may be useful to other health care organizations interested in promoting workplace safety.

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)0.032
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: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.032
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.059
GPT teacher head0.503
Teacher spread0.444 · 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

Citations15
Published2010
Admission routes2
Has abstractyes

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