Mode of Administration Is Important in US National Estimates of Health-Related Quality of Life
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.
Bibliographic record
Abstract
BACKGROUND: It is unknown if different national surveys that vary in mode of administration yield similar national averages for health-related quality of life (HRQoL). PURPOSE: Examine HRQoL scores from 4 surveys representative of the noninstitutionalized US adult population for patterns related to age, gender, and mode of administration. METHODS: We use data from the Joint Canada/United States Survey of Health (JCUSH; telephone survey), 2002 Medical Expenditure Panel Survey (MEPS; mail survey), National Health Measurement Study (NHMS; telephone survey), and US Valuation of the EuroQol EQ-5D Health States Survey (USVEQ; self-administered with interviewer present). We compare estimates from the EQ-5D, Visual Analog Scale, Health Utilities Index Mark 3, and general self-rated health stratified by age and gender. Scores were also regressed on age and gender within each survey and in a pooled analysis. RESULTS: We used 4939 subjects from JCUSH, 23,006 from MEPS, 3844 from NHMS, and 3878 from USVEQ. The majority of age and gender strata had instrument completion rates above 85%. Age- and gender-stratified estimates of HRQoL scores tended to be consistent when mode of administration (self- or interviewer-administered) was the same. Telephone administration yielded more positive HRQoL estimates than self-administration in older age groups. Older age groups and females reported lower HRQoL than younger age groups and males regardless of mode of administration. CONCLUSIONS: When choosing survey-collected HRQoL scores for comparative purposes, analysts need to take mode of administration into account.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it