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Record W2561381322 · doi:10.1177/084456211404600103

Development and Validation of a Self-Care Ability Measure

2014· article· en· W2561381322 on OpenAlexaffvenue
Souraya Sidani, Diane Doran

Bibliographic record

VenueCanadian Journal of Nursing Research · 2014
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOperationalizationConceptualizationSelf careMedicinePsychologyNursing careNursingHealth care

Abstract

fetched live from OpenAlex

Self-care is an outcome of nursing care that is instrumental for promoting recovery and preventing complications following hospitalization. The Therapeutic Self-Care (TSC) measure was developed to assess self-care ability in acute-care settings. Its content was derived from a conceptualization of selfcare generated from an extensive literature review. Clinical experts considered the 13 items of the TSC measure as relevant, supporting its content validity. Findings of 1 study indicate that the items are internally consistent and loaded on 1 factor. The TSC scores correlate with relevant concepts. The TSC measure quantifies patients' perceived ability for self-care, operationalized in behaviours related to taking medications, recognizing and managing symptoms, carrying out activities of daily living, and managing changes in condition. It can be used to guide and evaluate nursing 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.094
GPT teacher head0.379
Teacher spread0.285 · 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

Citations27
Published2014
Admission routes2
Has abstractyes

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