MétaCan
Menu
Back to cohort

Developing a culture of medication safety in the rural palliative care home setting New South Wales (NSW) Australia

2011· article· en· W2127580195 on OpenAlexaboutno aff
Caroline Short

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePalliative careNursingPreparednessCharterSafety cultureFamily medicine

Abstract

fetched live from OpenAlex

Improving Medication Safety for Clients and their Carers in the Rural Palliative Care Home Setting Project commenced January 2008 in response to an error involving a carer administered medication. Clinicians identified that no formalised process existed within NSW for carer medication administration despite a widespread practice of carers administering subcutaneous medications at home, especially in the last few days of life. It was recognised that formalised protocols and standardised training for carers were required to ensure patient safety. The need to respect patient and carer choices is emphasised throughout care while providing effective symptom control in the palliative care home setting. The project consisted of evaluating a carer's preparedness to administer subcutaneous medications and provided education and structured support to the carer to administer these medications. A culture of medication safety emerged that was welcomed and embraced by patients, carers and families and the clinicians. The project developed a legal and ethical framework on which to base these standardised practices. This project was an initiative of a health promoting palliative care service as per Allan Kellehear's 1999 model with service delivery strategies based on the five major ‘action’ principles of the Ottawa Charter. The outcomes demonstrated that carers were trained to safely administer subcutaneous medication and there were no medication errors. Additional outcomes included improvements in After-Hours Occupational Health and Safety for staff, and improved the end of life decision-making abilities and processes for patients, carers and families enabling choice in place of care.

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)0.015
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.007
Scholarly communication0.0040.002
Open science0.0020.009
Research integrity0.0010.003
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 head0.267
GPT teacher head0.462
Teacher spread0.195 · 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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueBMJ Supportive & Palliative CareSame topicPharmaceutical Practices and Patient OutcomesFrench-language works237,207