Understanding the Impacts of Maritime Disruption Transportation to Hospital-Based Acute Health Care Supplies and Personnel in Coastal and Geographically Isolated Communities
Bibliographic record
Abstract
OBJECTIVE: This study aimed to identify maritime transportation disruption impacts on available health care supplies and workers necessary to deliver hospital-based acute health care in geographically isolated communities post-disaster. METHODS: Semi-structured interviews were conducted with 25 key informants knowledgeable about the hospital-based acute health care supply chain and workforce emergency management plans and procedures in 2 coastal communities in British Columbia. These locations were accessed primarily through maritime transportation, including one urban center and one smaller, more remote community. Interview transcriptions were thematically analyzed. RESULTS: Critical vulnerabilities to hospital-based acute health care delivery due to a maritime transportation disruption identified include lack of information about the existing supply chain, lack of formal plans and agreements, and limited local supply storage and workforce capacity. Measures to decrease vulnerability and enhance system capacity can be fostered to enhance acute health care system resilience for these and other geographically isolated communities. CONCLUSIONS: A maritime transportation disruption has the potential to impact the availability of hospital-based health care supplies and health care personnel necessary to deliver acute health care in coastal communities post-disaster. Multisector engagement is required to address complex interdependencies and competing priorities in emergency response. Additional research and public-private collaboration is necessary to quantify potential impacts of maritime transportation disruption on the acute health care system. (Disaster Med Public Health Preparedness. 2019;13:440-448).
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".