In-home nursing care for women with high-risk pregnancies: outcomes and cost
Bibliographic record
Abstract
OBJECTIVE: To evaluate a program that provides in-home care to women with pregnancies threatened by preterm delivery (including preterm labor, preterm premature rupture of membranes, and multiple gestation) and women with pregnancy-related hypertension. METHODS: Data from hospital discharge summaries were used to compare birth outcomes and cost of care for women in the in-home program and a cohort of women who received in-hospital antenatal care before the new program. Birth outcomes included data for mothers and infants. The sample included 437 women with threatened preterm delivery (n = 228 in-home, n = 209 in-hospital) and 308 with hypertension (n = 155 in-home, n = 153 in-hospital). The cost per woman included all costs of services for mothers and infants. RESULTS: Women at risk of preterm delivery who received in-home care were half as likely to have their infants in the neonatal intensive care unit more than 48 hours (odds ratio 0.53, 95% confidence interval 0.36, 0.78). On average, their infants weighed more (2732 +/- 716 g versus 2330 +/- 749 g, P <.001) and were 2 weeks older at birth (36.1 +/- 3.1 weeks versus 34.0 +/- 4.0 weeks, P <.001). There was a wide range in the total cost per woman and no significant difference between cohorts. For women with hypertension, there were no significant differences between in-home and in-hospital cohorts in birth outcomes or costs of care per woman. CONCLUSION: The program with current admission criteria, staffing, and guidelines for antenatal hospital admission provides safe care to women at similar cost to that of hospitalization.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".