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Record W120723101

Examining the relationship between patient-centred care and outcomes.

2010· article· en· W120723101 on OpenAlexaff
Sonia Poochikian-Sarkissian, Souraya Sidani, Mary Ferguson-Paré, Diane Doran

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineDescriptive statisticsPatient satisfactionPatient careNursingPatient experienceFamily medicineHealth care
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: to examine the extent to which staff nurses provided patient-centred care (PCC), as perceived by staff nurses and patients, and to explore the relationships between implementation of PCC and patient outcomes. DESIGN: A descriptive correlational design with repeated measures was used. Descriptive statistics, correlations and t-tests were calculated. METHODS: Data were collected from 63 nurses and 44 patients admitted to cardiology, neurology/neurosurgery and orthopedic units. Nurses' and patients' perception of implementation of dimensions of PCC, and patient outcomes were measured with validated instruments. FINDINGS: Overall, nurses and patients reported implementation of PCC to a moderate extent. Provision of different aspects of PCC was associated with high levels of patient self-care. CONCLUSIONS: Implementation of PCC is expected to improve patient outcome by increasing patient self-care ability and improving satisfaction with care and quality of life. CLINICAL RELEVANCE: The findings will guide further improvement in the implementation of PCC to continuously enhance quality of nursing care, the patients' hospital experience and readiness for discharge.

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)0.003
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 score0.079
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.225
GPT teacher head0.386
Teacher spread0.162 · 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

Citations52
Published2010
Admission routes1
Has abstractyes

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