What attracts patients with diabetes to an internet support group? A 21‐month longitudinal website study
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
AIMS: To establish and evaluate a web-based educational and emotional resource for patients with diabetes and their family members. METHODS: A total of 47 365 user visits over a 21-month period to three internet discussion groups about diabetes were tracked for user activity, characteristics and level of satisfaction. RESULTS: The primary domains of users were the US (70%) and Canada (4%). Of all users, 7.55% posted messages, while 92.45% read messages posted by others. The average length of use was 15 min 5 s. Forty-four per cent posted messages to the nutrition discussion, 38% posted messages to the motivational discussion, and 18% posted messages to the family discussion. The most common postings addressed nutrition (42%), the emotional impact of diabetes (18%), managing high or low blood glucose levels (10%), and complications (8%). Respondents to the satisfaction survey were 64% female, 43% were insulin and 37% non-insulin users. Eighty-four per cent were older than 30 years, 34% had recently diagnosed diabetes and 32% had diabetes > 10 years. Forty-three per cent visited more than three times. Seventy-nine per cent of all respondents rated participation in the chat as having a positive effect on coping with diabetes. CONCLUSIONS: A professionally moderated internet discussion group is actively visited by a broad base of patients and families, and appears to be a useful strategy for engaging patients with chronic disease for emotional support and information exchange.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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