Establishing an alternative accommodation for stable hospitalised antepartum patients: barriers and challenges
Bibliographic record
Abstract
BACKGROUND: Patients in remote communities who risk premature delivery require transfer to a tertiary care centre for obstetric and neonatal care. Following stabilisation, many patients are candidates for outpatient management but cannot be discharged to their home communities due to lack of neonatal intensive care unit (ICU) support. PROBLEM: Without outpatient accommodation proximal to neonatal ICU, these patients face prolonged hospitalisation-an expensive option with medical, social and psychological consequences. Therefore, we sought to establish an alternative accommodation for out-of-town stable antepartum patients. METHODS: Quality Improvement approaches were used to identify process strengths and opportunities for improvement on the antepartum ward in a tertiary care centre. Physician and patient surveys informed outpatient accommodation programme development by a multidisciplinary team. The intervention was implemented using a plan-do-study-act cycle. Barriers to patient discharge and enrolment in the programme were analysed by completing thematic and strengths-weaknesses-opportunities-threats (SWOT) analysis. RESULTS: Physicians broadly supported safe outpatient management, whereas patients were hesitant to leave the hospital even when physicians assured safety. Our alternative accommodation was pre-existing and cost-effective, however, we encountered significant barriers. The physical space limited family visits and social interaction, lacked desired amenities,and the programme proved inconvenient to patients. The thematic and SWOT analysis identified aspects of the intervention which can be optimised to develop future actionable strategies. CONCLUSION: The utilisation of acute care beds is costly for the healthcare system and must be allocated judiciously. Patient needs, experience and health system barriers need to be considered when establishing alternative outpatient accommodations and strategies for stable antepartum patients.
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 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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".