MétaCan
Menu
Back to cohort
Record W2170994501 · doi:10.12927/hcq..16672

Client-Centred Care: Making the Ideal Real

2002· article· en· W2170994501 on OpenAlexaffabout
P. Nelligan, Doris Grinspun, Christine Jonas‐Simpson, Heather McConnell, Elizabeth Peter, Beryl Pilkington, Jackie Balfour, Nancy Lefebre, Cheryl Reid‐Haughian, Karen Sherry

Bibliographic record

VenueHealthcare Quarterly · 2002
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsDignityGuidelineNursingHealth careBest practiceConsistency (knowledge bases)Quality (philosophy)MedicinePsychologyPublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Providing quality care in a timely manner is a key goal of the healthcare system. Who defines quality care is a pivotal question to be answered in an era of well-informed clients. The Registered Nurses Association of Ontario's (RNAO) Client-Centred Care Best Practice Guideline puts patients where they belong--at the centre of care. This guideline recommends that nurses embrace as foundational to their practice a set of values and beliefs. These include: respect, human dignity and the belief that clients are the experts regarding their own lives. Clients must be provided the opportunity to lead their care as much as they choose. Moreover, the guideline recommends that nurses advocate for their clients' goals within the entire healthcare team. Recommendations regarding the organization of nursing care emphasize continuity and consistency of care and caregiver as paramount to providing timely and responsive client-centred-care. This article presents the rationale for the development of a CCC-BPG and highlights its key recommendations. It also discusses the responsibilities of healthcare practitioners and administrators in working together to ensure that these recommendations are incorporated into every aspect of client care and services.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score0.540

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.226
GPT teacher head0.464
Teacher spread0.238 · 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 designOther design
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

Citations3
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueHealthcare QuarterlySame topicClinical practice guidelines implementationFrench-language works237,207