Descriptions of health states associated with increasing severity and frequency of hypoglycemia: a patient-level perspective
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: We sought to develop descriptions of health states associated with daytime and nocturnal hypoglycemia in a structured fashion from the patient's perspective under different combinations of severity and frequency of hypoglycemic events. METHODS: An expert meeting followed by two patient focus groups was used to develop comprehensive descriptions of acute consequences of severe and non-severe, daytime and nocturnal hypoglycemia. Patients with diabetes (type 1 = 85, type 2 = 162) from a survey panel then validated these descriptions and assessed how often they worried and took different actions to prevent hypoglycemia. Severity and frequency of hypoglycemia were compared with respect to how often people worried and took actions to prevent an event. The effect of hypoglycemia on 35 different life activities was quantitatively compared for patients who had and had not experienced a severe hypoglycemic event. RESULTS: At least 95% of respondents agreed that the detailed patient-level descriptions of health states accurately reflected their experience of severe and non-severe, daytime and nocturnal hypoglycemia, thereby validating these descriptions. Respondents who had experienced a severe hypoglycemic event were generally more adversely affected in their worries and actions and life events than those who experienced only non-severe events; those who experienced nocturnal events were more affected than those who experienced only daytime events. CONCLUSION: The negative psychosocial consequences and undesirable compensatory behaviors arising from hypoglycemia underscore the importance of preventing severe episodes, particularly severe nocturnal episodes. These validated descriptions for hypoglycemia from the patient's perspective may also help inform future qualitative and quantitative research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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