Bibliographic record
Abstract
BACKGROUND: In 2017, the Nebraska Unicameral passed legislative bill 506, which required physicians to inform patients carrying fetuses diagnosed with a life-limiting anomaly of the option to enroll in a comprehensive perinatal hospice program. The bill also required the Department of Health & Human Services to provide information about statewide hospice programs. Families enrolled in hospice programs are better prepared for the birth and death of their child. This large academic medical center was listed on the registry but did not have a formal perinatal hospice program. PURPOSE: Implementation of a comprehensive perinatal hospice program. METHODS: The program was designed and implemented, beginning with the formation of an interdisciplinary team. Guidelines were developed for program referral, care conferences, team communication, and family follow-up. The team was educated. Electronic record documentation and order set were implemented. A data collection process was developed to track referrals and critical data points. RESULTS: The perinatal hospice program has been accepting referrals but has not had any qualifying referrals. IMPLICATIONS FOR PRACTICE: The development of an evidence-based guideline for referral that can improve referral consistency. While trisomy 13 and 18 diagnosis was historically considered life-limiting, these families now have the option of full intervention and transfer for specialists. IMPLICATIONS FOR RESEARCH: Future research will include collecting data from patients who could have benefited from hospice, including infants who were born 20 to 22 weeks, or for maternal reasons. Future research will evaluate the experience after bereavement, the hospice team's experience, and the effectiveness of the referral process.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".