Challenges of Point-of-Care Testing in Ambulances
Bibliographic record
Abstract
Many countries rely on hospitals to provide the majority of their emergent and critical care. However, this healthcare delivery model is imperfect and leads to overcrowding, excessive wait times, and delays in diagnosis and treatment. Moreover, certain patients, such as those living in rural areas, may not be able to access timely hospital-based care at all. Healthcare organizations are, therefore, increasingly exploring ways to begin care during the initial medical encounter and before arriving at the hospital (1). A popular paradigm for this is the provision of emergent and critical care by ambulances. For example, Alberta relies on air ambulances, traditional ground ambulances, and a stroke ambulance to provide life-saving care to seriously ill or injured patients before they reach a hospital. Ambulance services may exist in much more limited capacity elsewhere, but they still have significant potential to accelerate and improve care in emergent situations. Ambulances in resource-rich settings frequently carry onboard 1 or more point-of-care testing (POCT) systems. It is widely believed that these systems provide value to patient care, but how does one actually confirm this? Before POCT implementation, a careful needs assessment should be carried out to identify any deficiencies and to assess the potential of POCT to help address them (2). This assessment should then be further supplemented by a cost analysis that includes the following: (a) purchase and validation of POCT systems, quality assurance materials, and any additional supplies; (b) ambulance modifications necessary to accommodate POCT; (c) end user education and training; (d) initial and ongoing support by a POCT expert; (e) any additional considerations that may exist. At times, it can be difficult to gather such evidence owing to limited resources, the challenges of studying critically ill patients, and an incomplete understanding of POCT quality assurance requirements. Nevertheless, this evidence reveals the true value of POCT and enables informed decision-making and responsible resource allocation (3). Vehicle design is an additional important consideration in ambulance-based POCT. Every vehicle must have certain basic features to achieve a minimum level of accuracy and safety with respect to POCT (Table 1). Improvements beyond these may enable more complex POCT to be performed and, thereby, the provision of more complex care. However, those considering POCT in their ambulances should be forewarned that meeting the basic features noted in Table 1 can be challenging even in otherwise advanced vehicles. For example, we are still working on an effective solution to protect POCT systems in the Alberta Stroke Ambulance and Shock Trauma Air Rescue Service helicopters from transient exposures to winter temperatures of −10 °C to −20 °C (14 °F to −4 °F). Such exposure not only leads to device inoperability during potentially critical situations but may also affect result accuracy in ways that are incompletely understood (4). Important vehicle design features to enable ambulance-based POCT. Important vehicle design features to enable ambulance-based POCT. Technological advancements in POCT may alleviate some of the previously discussed challenges (5). Test consolidation into clinically relevant panels and onto 1, or at most 2, compact POCT devices can reduce space requirements significantly. Successful examples of this include panels for electrolyte disturbances, blood gas disorders, and acid–base imbalances. Similar approaches could be taken for other emergent conditions such as certain pregnancy complications, hyperglycemic crises, sepsis, and stroke. Panels should include all biomarkers essential to care and those that show strong promise for clinical adoption in the next few years. The formulation of more robust reagents can also ameliorate space usage, along with improving result accuracy and reagent usage. Reagents that remain stable at room temperature for several months free up refrigerator space for other temperature-sensitive materials or eliminate the need for a refrigerator altogether. Reagents that degrade minimally from repeated, transient exposure to extremes of temperature, humidity, and/or pressure enable result accuracy to be maintained over a longer timeframe and avoid the need to replace reagents before their manufacturer-stated expiry date. Lastly, POCT in ambulances must be fully compliant with local and national regulations. This requirement can pose a significant barrier to POCT adoption because there may not be any suitable systems approved for use in this setting. For example, the Alberta Stroke Ambulance relies on the Sysmex pocH-100i hematology analyzer for platelet counts. A similar system, the Sysmex XW-100 hematology analyzer, recently received approval for point-of-care use in the US but only for ambulatory general practitioner's offices. To increase emergent and critical care in ambulances, regulatory changes may be necessary to allow use of POCT on all patients with a certain clinical status regardless of their physical location.
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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 | 0.039 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".