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Record W6964989681 · doi:10.32114/cci.2023.6.4.48.57

Social reactions to emergencies and illnesses: identifying the validity of EMS calls.

2023· article· en· W6964989681 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsSnowball samplingQuarter (Canadian coin)Test (biology)Wilcoxon signed-rank testStroke (engine)Emergency departmentHealth careHead injury

Abstract

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INTRODUCTION: Poland’s healthcare systems is based on insurance and universal and equal access. The first component of the system is primary healthcare. At night and on holidays, the medical help can be obtained by means of After Hours Medical Services. Private paid visits can also be arranged. In emergencies, and cases of risk to health or life, emergency medical team can be called at 112 or 999, or a patient can go to the hospital emergency department (ED) on their own. There are also pharmacies where selected over-the-counter medicines can be bought. MATERIALS AND METHODS: The study was conducted in the first quarter of 2023 using a proprietary questionnaire with 5 sociodemographic questions and 20 case descriptions for which the participants indicated the type of medical help which they would use. The expert panel prepared a set of cases (accidents and illnesses), taking into account patient’s age and gender, time of day and working days and holidays when the incident occurred. The group of participants was selected using the snowball sampling method. The results were subjected to statistical analysis using nonparametric tests, the Spearman’s rho test and the Wilcoxon test. The used significance level was p<0.05. RESULTS: The study comprised 233 participants (166 females and 66 males). The mean age was 25 years (SD ± 9.50). A significant correlation was showed between the decision made and the gender in case of stroke occurring on a weekday (p=0.042); stroke symptoms on a holiday (p=0.024); head injury in a child (p=0,024); chest pain in an adult (p=0.009), and also the place of residence in case of an infection in a child (p=0.008). The decision was also influenced by education in case of chest pain in an adult (p=0.048); stroke (p=0.046) and sudden weakness (p=0.009). Also performing a medical profession correlated with the decision in case of arterial hypertension (p=0.028) and chest pain (p=0.010) in adults. The type of day (working/holiday) and the time of day were also analysed, revealing statistical differences depending on the type and time of day for infection in a child (p<0.000 in each comparison); working day and holiday for abdominal pain (p=0.000), stroke (p=0.023), diarrhea (p<0.000) and weakness (p<0.000), and also depending on the time of day in arterial hypertension (p<0.000); however, no differences were found in case of chest pain depending on the time of day(p=0.073). CONCLUSIONS: Emergency medical teams are called both in urgent cases, such as stroke or chest pain, and also in cases that do not require an immediate responses, such as diarrhea or weakness. Solutions need to be sought which would provide information what healthcare system units should be used in specific situations. The EMTs are called more often during the day on weekdays than at night or on holidays. The ambulance service responds most often in emergency cases such as convulsions, stroke or chest pain, but a significant number of calls is related to cases of weakness or arterial hypertension where the medical help should be sought in other healthcare units.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.564
GPT teacher head0.637
Teacher spread0.073 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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