Internet health information use and e-mail access by parents attending a paediatric emergency department
Bibliographic record
Abstract
OBJECTIVES: To document internet access and health related usage patterns by families of children in a large paediatric emergency department (ED), and to discover if parents want the internet to become a tool for transferring medical test results. METHODS: This was a pre-tested, 21 item, interview conducted with parents at the paediatric ED in Toronto over 3 months. Descriptive statistics and frequency distributions were calculated and variables associated with parents wishing to access results electronically were examined. RESULTS: In total, 950 parents completed the interview (93%), of whom 87% reported routine internet access, 75% reported having an e-mail account, and 60% accessed their e-mail once or more a day. Over half (56%) reported searching the internet for health related information, with 8.5% of these searching immediately preceding their visit. Nearly three quarters (73%) indicated they would like to receive an e-mail containing the results of tests conducted in the ED; 66% of all respondents and 89% of those with e-mail indicated that they would like their child's primary care provider to receive information electronically. CONCLUSION: The majority of families have internet access and most want to receive medical information electronically and to send it to the primary provider. The vast use of internet for health related information emphasises the need to guide parents regarding reliable resources online, possibly as part of their ED visit.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".