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Record W2889104264 · doi:10.1093/intqhc/mzy164

Medication-related quality of care in residential aged care: an Australian experience

2018· article· en· W2889104264 on OpenAlexaboutno aff
Jodie Hillen, Agnès Vitry, Gillian E. Caughey

Bibliographic record

VenueInternational Journal for Quality in Health Care · 2018
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHealth careMedical prescriptionFamily medicineCohortBeers CriteriaCollaborative CareAged careDiseaseRetrospective cohort studyPopulationPopulation healthEnvironmental healthGerontologyNursingPrimary careInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe medication-related quality of care (MRQOC) for Australian aged care residents. DESIGN: Retrospective cohort using an administrative healthcare claims database. SETTING: Australian residential aged care. PARTICIPANTS: A total of 17 672 aged care residents who were alive at 1 January 2013 and had been a permanent resident for at least 3 months. MAIN OUTCOME MEASURES: Overall, 23 evidence-based MRQOC indicators which assessed the use of appropriate medications in chronic disease, exposure to high-risk medications and access to collaborative health services. RESULTS: Key findings included underuse of recommended cardiovascular medications, such as the use of statins in cardiovascular disease (56.1%). Overuse of high-risk medications was detected for medications associated with falls (73.5%), medications with moderate to strong anticholinergic properties (46.1%), benzodiazepines (41.4%) and antipsychotics (33.2%). Collaborative health services such as medication reviews were underutilised (42.6%). CONCLUSION: MRQOC activities in this population should be targeted at monitoring and reducing exposure to antipsychotics and benzodiazepines, improving the use of preventative medications for cardiovascular disease and improving access to collaborative health services. Similarity of suboptimal MRQOC between Australia and other countries (UK, USA, Canada and Belgium) presents an opportunity for an internationally collaborative approach to improving care for aged care residents.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.123
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.276
GPT teacher head0.600
Teacher spread0.324 · 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

Citations28
Published2018
Admission routes1
Has abstractyes

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