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Record W2120095907 · doi:10.1177/1054773815579609

Development and Validation of the Spiritual Care Needs Inventory for Acute Care Hospital Patients in Taiwan

2015· article· en· W2120095907 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Nursing Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Toronto
FundersNational University of Science and TechnologyNational University of Sciences and TechnologyNational Science CouncilWorld Health Organization
KeywordsSpiritual careAcute careMeaning (existential)Internal consistencyNursingVariance (accounting)MedicineConsistency (knowledge bases)Nursing carePsychologyFamily medicineHealth careSpiritualityPatient satisfactionAlternative medicine

Abstract

fetched live from OpenAlex

Spiritual care is increasingly being recognized as an integral aspect of nursing practice. The aim of this study was to develop a new instrument, Spiritual Care Needs Inventory (SCNI), for measuring spiritual care needs in acute care hospital patients with different religious beliefs. The 21-item instrument was completed by 1,351 adult acute care patients recruited from a medical center in Taiwan. Principal components analysis of the SCNI revealed two components, (a) meaning and hope and (b) caring and respect, which together accounted for 66.2% of the total variance. The internal consistency measures for the two components were 0.96 and 0.91, respectively. Furthermore, younger age, female sex, Christian religion, and regularly attending religious activities had significantly higher mean total scores in both components. The SCNI was found to be a simple instrument with excellent internal consistency for measuring the spiritual care needs in acute care hospital patients.

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.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.107
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.178
GPT teacher head0.521
Teacher spread0.343 · 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