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Record W2080675448 · doi:10.12927/hcq..18471

Broadening the Patient Safety Agenda to Include Home Care Services

2006· article· en· W2080675448 on OpenAlexafffundabout
Ariella Lang, Nancy Edwards, Carolyn Hoffman, Judith Shamian, Kathleen Benjamin, Marguerite Rowe

Bibliographic record

VenueHealthcare Quarterly · 2006
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsUniversity of Ottawa
FundersCanadian Health Services Research Foundation
KeywordsPatient safetyBest practiceNursingHealth careMedicinePublic relationsBusinessPolitical science

Abstract

fetched live from OpenAlex

Caring for an individual in the home is inherently complex. The physical environment, family dynamics and the cognitive abilities of the client and family members are only a few of the factors to be considered in delivering services. Although targeted initiatives have been established to reduce preventable injuries and deaths in the hospital sector, there has not been a corresponding level of research or patient safety initiatives in other healthcare delivery sectors. A coordinated and collaborative approach to generate new knowledge pertaining to safety in home care in Canada has therefore been undertaken by the Canadian Patient Safety Institute (CPSI), VON Canada, and Capital Health (Edmonton). Actions included the development of a background paper (Lang and Edwards 2006) that informed an invitational roundtable discussion, where key safety issues in home care were identified and priority actions discussed. Over 40 individuals from across Canada participated, reflecting various disciplinary and organizational affiliations in the delivery of home care services. This paper describes key findings from the background paper, outcomes from the ensuing roundtable discussions and implications for practice, research and policy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.001

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 head0.030
GPT teacher head0.371
Teacher spread0.341 · 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 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

Citations30
Published2006
Admission routes3
Has abstractyes

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