Infrastructure and Organization of Adult Intensive Care Units in Resource-Limited Settings
Bibliographic record
Abstract
In this chapter, we provide guidance on some basic structural requirements, focusing on organization, staffing, and infrastructure. We suggest a closed-format intensive care unit (ICU) with dedicated physicians and nurses, specifically trained in intensive care medicine whenever feasible. Regarding infrastructural components, a reliable electricity supply is essential, with adequate backup systems. Facilities for oxygen therapy are crucial, and the choice between oxygen concentrators, cylinders, and a centralized system depends on the setting. For use in mechanical ventilators, a centralized piped system is preferred. Facilities for proper hand hygiene are essential. Alcohol-based solutions are preferred, except in the context of Ebola virus disease (chloride-based solutions) and Clostridium difficile infection (soap and water). Availability of disposable gloves is important for self-protection; for invasive procedures masks, caps, sterile gowns, sterile drapes, and sterile gloves are recommended. Caring for patients with highly contagious infectious diseases requires access to personal protective equipment. Basic ICU equipment should include vital signs monitors and mechanical ventilators, which should also deliver noninvasive ventilator modes. We suggest that ICUs providing invasive ventilatory support have the ability to measure end-tidal carbon dioxide and if possible can perform blood gas analysis. We recommend availability of glucometers and capabilities for measuring blood lactate. We suggest implementation of bedside ultrasound as diagnostic tool. Finally, we recommend proper administration of patient data; suggest development of locally applicable bundles, protocols, and checklists for the management of sepsis; and implement systematic collection of quality and performance indicators to guide improvements in ICU performance.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".