Self-reported health-related quality of life of the general population in Alberta, Canada during the COVID-19 pandemic
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has impacted various aspects of people's life and wellbeing around the world. This study aimed to examine the impact of the COVID-19 pandemic on health-related quality of life (HRQL), measured by the EQ-5D-5L, amongst the general population in the province of Alberta, Canada, and explore whether the impact varied across population subgroups based on age, gender, and dwelling. METHODS: Data came from two waves of a repeated cross-sectional population-based survey, the COVID-19 Experiences and Impact Survey, administered by the Health Quality Council of Alberta. The first data collection (survey 1: n = 8790) was during May/June 2020 and the second (survey 2: n = 9263) during Oct 2020. We examined the comparability of weighted survey data and their representativeness to Alberta's general population. We then explored between-survey differences in EQ-5D-5L index, EQ-VAS and dimension responses, and differences across subgroups within each survey. We compared HRQL of the pooled sample (survey 1&2) with the Alberta population norms data from the pre-pandemic period. RESULTS: Mean EQ-5D-5L index and EQ-VAS scores were 0.81 (0.15) and 72.54 (18.57), and 0.82 (0.14) and 71.98 (18.96) in surveys 1 and 2, respectively. The anxiety/depression dimension had the most reported problems (survey 1: 69.5%, survey 2: 70.2%). Respondents aged 16-24 or 75 and older, who identified themselves as a woman, or residing in urban areas had significantly lower EQ-5D-5L index scores compared to their counterparts in both surveys. Between-survey differences were not substantially different. Comparing the pooled sample with the pre-pandemic Alberta population norms, EQ-5D-5L index scores (0.82 vs. 0.84) and EQ-VAS scores (72.26 vs. 77.40) were significantly lower, and respondents aged 16-44, women, or urban residents were more impacted. More problems were reported in the anxiety/depression (69.9% vs. 37.2%) and usual activities dimensions (40.5% vs. 26.0%) during the pandemic period, especially for respondents aged 16-44, women, and those residing in urban areas. CONCLUSIONS: Lower HRQL was reported during the COVID-19 pandemic compared to pre-pandemic HRQL in this population, with anxiety/depression and usual activities affected the most. People who were younger, women, and residing in urban areas were most impacted. The government responses to COVID-19 policies during population outbreaks should consider the needs of Albertans in these particular groups.
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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 | 0.017 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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