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Record W2067017785 · doi:10.12927/hcq.2009.20965

Identification of Safety Outcomes for Canadian Home Care Clients: Evidence from the Resident Assessment Instrument - Home Care reporting system concerning emergency room visits

2009· article· en· W2067017785 on OpenAlexafffundabout
Diane Doran, John P. Hirdes, Jeff Poss, Micaela Jantzi, Régis Blais, G. Ross Baker, Jennie Pickard

Bibliographic record

VenueHealthcare Quarterly · 2009
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsCARE CanadaUniversity of Toronto
FundersCanadian Patient Safety Institute
KeywordsMedicinePolypharmacyPatient safetyEmergency departmentRisk assessmentFamily medicineAcute careMedical emergencyEmergency medicineHealth careNursingIntensive care medicine

Abstract

fetched live from OpenAlex

Problems of patient safety have been well documented in hospitals. However, we have very limited data about patient safety problems among home care clients. The purpose of this study was to assess the burden of safety problems among Canadian home care clients using data collected through the Resident Assessment Instrument - Home Care (RAI HC), and to explore the role of age and patient safety risk factors in explaining variations in adverse outcomes, with a particular focus on emergency room visits. The study methodology involved a secondary analysis of data collected through the Canadian Home Care Reporting System. The study sample consisted of all home care clients who qualified to receive an RAI HC assessment from Ontario, Nova Scotia and Winnipeg Regional Health Authority for the 2003-2007 reporting period. There were a total of 30,396 cases with a paired intake and 12-month follow-up assessment available for analysis. New falls, unintended weight loss, new emergency room (ER) visits and new hospital visits were the most prevalent adverse outcomes. A history of falls, a cancer diagnosis, polypharmacy, receiving an anxiolytic medication and receiving an antidepressant medication were associated with an increased risk of ER visits, while low self reliance and limitation in activities of living were associated with a decreased risk of ER visits. Understanding clients'risk profiles is foundational to effective patient 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.064
GPT teacher head0.416
Teacher spread0.352 · 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

Citations16
Published2009
Admission routes3
Has abstractyes

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