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Record W2465340358 · doi:10.1177/0269216316659603

Measuring the quality of life of people at the end of life: The McGill Quality of Life Questionnaire–Revised

2016· article· en· W2465340358 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePalliative Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of British ColumbiaClinical Evaluation Research UnitProvidence Health Care Research InstituteQueen's UniversityTrinity Western UniversityJewish General HospitalCentre for Advancing Health OutcomesWestern UniversityUniversity of VictoriaMcGill UniversityKingston General HospitalProvidence Health Care
FundersMcGill University
KeywordsQuality of life (healthcare)McGill Pain QuestionnaireConfirmatory factor analysisMedicinePalliative careQuality (philosophy)GerontologyOutpatient clinicPsychologyComputer scienceNursingPhysical therapyStructural equation modeling

Abstract

fetched live from OpenAlex

BACKGROUND: The McGill Quality of Life Questionnaire has been widely used with people with life-threatening illnesses without modification since its publication in 1996. With use, areas for improvement have emerged; therefore, various minor modifications were tested over time. AIM: To revise the McGill Quality of Life Questionnaire (McGill Quality of Life Questionnaire-Revised) while maintaining or improving its psychometric properties and length, keeping it as close as possible to the McGill Quality of Life Questionnaire to enable reasonable comparison with existing McGill Quality of Life Questionnaire literature. DESIGN: Data sets from eight studies were used (four studies originally used to develop the McGill Quality of Life Questionnaire, two to develop new McGill Quality of Life Questionnaire versions, and two with unrelated purposes). The McGill Quality of Life Questionnaire-Revised was developed using analyses of measurement invariance, confirmatory factor analysis, and calculation of correlations with the McGill Quality of Life Questionnaire's global quality of life item. SETTING/PARTICIPANTS: Data were from 1702 people with life-threatening illnesses recruited from acute and palliative care units, palliative home care services, and oncology and HIV/AIDS outpatient clinics. RESULTS: The McGill Quality of Life Questionnaire-Revised consists of 14 items (plus the global quality of life item). A new Physical subscale was created combining physical symptoms and physical well-being and a new item on physical functioning. The Existential subscale was reduced to four items. The revised Support subscale, renamed Social, focuses more on relationships. The Psychological subscale remains unchanged. Confirmatory factor analysis results provide support for the measurement structure of the McGill Quality of Life Questionnaire-Revised. The overall scale has good internal consistency reliability ( α = 0.94). CONCLUSION: The McGill Quality of Life Questionnaire-Revised improves on and can replace the McGill Quality of Life Questionnaire since it contains improved wording, a somewhat expanded repertoire of concepts with fewer items, and a single subscale for the physical domain, while retaining good psychometric properties.

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)0.006
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.112
GPT teacher head0.361
Teacher spread0.248 · 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