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Record W2587696670 · doi:10.4187/respcare.05282

Spiritual Well-Being and Correlated Factors in Subjects With Advanced COPD or Lung Cancer

2017· article· en· W2587696670 on OpenAlexaboutno aff
Takaaki Hasegawa, Momoko Kawai, Nanori Kuzuya, Yohei Futamura, Akane Horiba, Takashi Ishiguro, Tsutomu Yoshida, Toshiyuki Sawa, Yasuyuki Sugiyama

Bibliographic record

VenueRespiratory Care · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCOPDLung cancerQuality of life (healthcare)Internal medicineCancerLungOncologyPhysical therapyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Spiritual care for patients with COPD has rarely been discussed, and thus much remains unknown about their needs. The aims of this study were to identify the factors associated with spiritual well-being and to compare the levels of spiritual well-being between subjects with advanced COPD and those with inoperable lung cancer. METHODS: A total of 96 subjects with COPD or lung cancer participated in this study, which was conducted between December 2014 and April 2016. Measures included the Japanese version of the 12-item Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACIT-Sp-12) scale, the McGill Quality of Life Questionnaire (MQOL), the modified Medical Research Council (mMRC) dyspnea scale, and various other medico-social factors. RESULTS: No significant differences were found between subjects with COPD and those with lung cancer in median FACIT-Sp-12 scores (COPD, 27; lung cancer, 26; P = .81). However, significant differences were found in the 2 MQOL domains, suggesting that subjects with COPD had a better psychological state ( P = .01) and that subjects with lung cancer had a better support state ( P = .002). Multiple regression analysis revealed that mMRC was significantly associated with FACIT-Sp-12 scores in subjects with COPD. CONCLUSIONS: These results suggest that subjects with advanced COPD experience spiritual well-being similar to that of subjects with inoperable lung cancer.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.994

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 studies0.0010.001
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 head0.027
GPT teacher head0.363
Teacher spread0.337 · 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

Citations31
Published2017
Admission routes1
Has abstractyes

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