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.
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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 | 0.002 | 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 | 0.001 |
| 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".