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Record W4309512008 · doi:10.1002/jcsm.13133

Development and validation of questionnaires for eating‐related distress among advanced cancer patients and families

2022· article· en· W4309512008 on OpenAlexaff
Koji Amano, Tatsuya Morita, Tomofumi Miura, Naoharu Mori, Ryohei Tatara, Takaomi Kessoku, Yoshinobu Matsuda, Keita Tagami, Hiroyuki Otani, Masanori Mori, Tomohiko Taniyama, Nobuhisa Nakajima, Erika Nakanishi, Jun Kako, Hiroto Ishiki, Hiromichi Matsuoka, Eriko Satomi, Jane B. Hopkinson, Vickie E. Baracos, Mitsunori Miyashita

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2022
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
FundersJapan Society for the Promotion of ScienceSasakawa Memorial Health Foundation
KeywordsCronbach's alphaAnorexiaFamily caregiversQuality of life (healthcare)Exploratory factor analysisIntraclass correlationDistressConcurrent validityPsychologyMedicinePsychosocialPalliative careClinical psychologyContent validityPsychometricsPhysical therapyPsychiatryInternal medicinePsychotherapistInternal consistencyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Eating-related distress (ERD) is one type of psychosocial distress among advanced cancer patients and family caregivers. Its alleviation is a key issue in palliative care; however, there is no validated tool for measuring ERD. METHODS: The purpose of this study was to validate tools for evaluating ERD among patients and family caregivers. The study consisted of a development and validation/retest phase. In the development phase, we made preliminary questionnaires for patients and family caregivers. After face validity and content validity, we performed an exploratory factor analysis and discussed the final adoption of items. In the validation/retest phase, we examined factor validity with an exploratory factor analysis. We calculated Pearson's correlation coefficients between the questionnaire for patients, the Functional Assessment of Anorexia/Cachexia Therapy Anorexia Cachexia Subscale (FAACT ACS) and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Cachexia 24 (EORTC QLQ-CAX24) and Pearson's correlation coefficients between the questionnaire for family caregivers and the Caregiver Quality of Life Index-Cancer (CQOLC) for concurrent validity. We calculated Cronbach's alpha coefficients (Cronbach's alpha) and intraclass correlation coefficients (ICCs) for internal consistency and test-retest reliability. We performed the Mann-Whitney U test between the questionnaires and cancer cachexia based on criteria from the international consensus for known-group validity. RESULTS: In the development phase, 162 pairs of patients and family caregivers were asked to participate, and 144 patients and 106 family caregivers responded. In the validation/retest phase, 333 pairs of patients and family caregivers were asked to participate, and 234 patients and 152 family caregivers responded. Overall, 183 patients and 112 family caregivers did the retest. Seven conceptual groups were extracted for the ERD among patients and family caregivers, respectively. Patient factors 1-7 correlated with FAACT ACS (r = -0.63, -0.43, -0.55, -0.40, -0.38, -0.54, -0.38, respectively) and EORTC QLQ-CAX24 (r = 0.58, 0.40, 0.60, 0.49, 0.38, 0.59, 0.42, respectively). Family factors 1-7 correlated with CQOLC (r = -0.34, -0.30, -0.37, -0.37, -0.46, -0.42, -0.40, respectively). The values of Cronbach's alpha and ICC of each factor and all factors of patients ranged from 0.84 to 0.96 and 0.67 to 0.83, respectively. Those of each factor and all factors of family caregivers ranged from 0.84 to 0.96 and 0.63 to 0.84, respectively. The cachexia group of patients had significantly higher scores than the non-cachexia group for each factor and all factors. CONCLUSIONS: Newly developed tools for measuring ERD experienced by advanced cancer patients and family caregivers have been validated.

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 score0.281
Threshold uncertainty score0.213

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 head0.017
GPT teacher head0.303
Teacher spread0.286 · 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".

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Citations24
Published2022
Admission routes1
Has abstractyes

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