Collaborative Approaches to e-Health: Valuable for Users and Non-users.
Bibliographic record
Abstract
OBJECTIVE: To describe parental use of an Internet-based educational and emotional support system, in a regional NICU program. METHODS: Baby CareLink was installed in NICUs in 4 Denver area hospitals in 2003. Parents were offered access from hospital terminals and from any other Internet access point. Data on use of the program was collected by the computer system. Discharge status was verified by Colorado's Department of Public Assistance. RESULTS: Of the 388 families admitted to Denver area NICUs with Baby CareLink during the study period, 135 (34.8%) were identified as Medicaid families (needing public assistance). After exclusions, data for 81 Medicaid and 154 non-Medicaid families were available for analysis. Medicaid families who accessed 3 or more Baby CareLink web pages per day took their infants home 17.5 days sooner than families who used Baby CareLink less often (p=0.03). Among the non-Medicaid families, more frequent users of Baby CareLink took their infants home 14.3 days sooner (p=0.04). CONCLUSIONS: Internet portals will be used by both Medicaid and non-Medicaid parents with children in NICUs to meet educational needs. More frequent use of Baby CareLink was associated with significantly shorter length of stay. Self-help tools for parents may free nursing resource for families with greater needs.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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 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".