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Record W2059570186 · doi:10.1177/0269216307079816

Validation study of the Korean version of the McGill Quality of Life Questionnaire

2007· article· en· W2059570186 on OpenAlexfundaboutno aff
S H Kim, S K u, Young Ho Yun, Chang Geol Lee, Youn Seon Choi, Way Seah Lee, Si-Young Kim, Dae Seog Heo

Bibliographic record

VenuePalliative Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersMcGill University
KeywordsQuality of life (healthcare)Palliative careCronbach's alphaMedicineConcurrent validityConvergent validityReliability (semiconductor)DignityClinical psychologyPsychologyPsychometricsInternal consistencyNursing

Abstract

fetched live from OpenAlex

This study aimed to test the reliability and validity of the Korean version of McGill Quality of Life Questionnaire (MQOL-K) for use with 140 palliative care patients in Korea. Our results confirmed the suitability of using the 16 questions of the questionnaire clustered into four domains (physical, psychological, existential and support) as in the original version of the MQOL, although the distribution of items among the domains differed somewhat from the original. The MQOL-K demonstrated moderate to high internal consistency (Cronbach's alpha, 0.62-0.90), convergent validity without scaling error, and a good concurrent validity with European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30, sense of dignity, and general health perception. In addition, we tested the clinical validity of the MQOL-K using a known group comparison to quantify sensitivity. Regression results indicated that the existential and psychological domains had independent effects on the overall quality of life of patients in Korea. Therefore, the MQOL-K is deemed suitable for assessing the quality of life in a Korean palliative care setting.

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)0.005
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 score0.091
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.159
GPT teacher head0.446
Teacher spread0.287 · 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

Citations36
Published2007
Admission routes2
Has abstractyes

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