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Record W2023641732 · doi:10.1080/01621424.2013.783523

Home Care Safety Markers: A Scoping Review

2013· review· en· W2023641732 on OpenAlexaff
Marilyn Macdonald, Ariella Lang, Jan Storch, Lynn Stevenson, Susan Donaldson, Tanya Barber, Kristine Iaboni

Bibliographic record

VenueHome Health Care Services Quarterly · 2013
Typereview
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsCanadian Hospice Palliative Care AssociationIsland HealthUniversity of VictoriaVictorian Order of NursesDalhousie University
Fundersnot available
KeywordsButcherHealth careMedicineNursingPsychologyMedical emergencyGeographyEconomic growthEconomics

Abstract

fetched live from OpenAlex

Safety in home care is a new research frontier, and one in which demand for services continues to rise. A scoping review of the home care literature on chronic obstructive pulmonary disease and congestive heart failure was thus completed to identify safety markers that could serve to develop our understanding of safety in this sector. Results generated seven safety markers: (a) Home alone; (b) A fixed agenda in a foreign language; (c) Strangers in the home; (d) The butcher, the baker, the candlestick maker; (e) Medication mania; (f) Out of pocket: The cost of caring at home; and (g) My health for yours: Declining caregiver health.

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)0.012
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.056
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0190.018
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.044
GPT teacher head0.435
Teacher spread0.392 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations19
Published2013
Admission routes1
Has abstractyes

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