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Record W2153251772 · doi:10.31729/jnma.230

Need of Improvement in Emergency Medical Service in Urban Cities

2009· article· en· W2153251772 on OpenAlexaff
Rajesh Gongal, Bishwo Raj Dhungana, S Regmi, M Nakarmi, Bijesh Yadav

Bibliographic record

VenueJournal of Nepal Medical Association · 2009
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsTriageMedicineMedical emergencyEmergency medical servicesObservational studyAmbulance serviceService (business)Emergency departmentEmergency medicineNursing

Abstract

fetched live from OpenAlex

Introduction: An effective Emergency Medical Service system does not exist in Nepal. For an effective EMS system to be developed the scale of the problem and the existing facilities need to be studied. Methods: Prospective observational study was carried out on 1964 patients attending Emergency Department at Patan Hospital during one month period of September 2006. The patients were specifically enquired on mode of transport used, place of origin and whether they called for an ambulance or not. Patients triage category at the time of triaging was also noted. Information on ambulance service were collected by direct interview with the service providers and the total number of patients attending Emergency Departments daily were collected from the major hospitals of the urban Lalitpur and Kathmandu. MS Excel and SPSS software were used for data entry, editing and analysis.Results: Total 9.9% patients arrived in ambulance whereas 53.6% came in a Taxi, 11.4% came in private vehicle, 13.5 % came by bus, 5.4% came by bike and the rest 6.2% came by other modes of transportation. Only 13.5% of triage category I patients took the ambulance. There were 31 service providers with 49 ambulances and 720 patients per day attend Emergency Departments in the surveyed area. Conclusions: Very less number of patients use the ambulance service for emergency services. The available ambulances are not properly equipped and do not have trained staff and as such are only a means of transportation to the hospitals of urban Lalitpur and Kathmandu.Key Words: ambulance, emergency medical service, para-medics, triage Need of Improvement in Emergency Medical Service in Urban Cities Gongal R,1Dhungana B,1Regmi S,1Nakarmi M,2Yadav B11Patan Hospital, Lalitpur, Nepal, 2Health Care Foundation, Kathmandu, NepalCorrespondence:Dr. Rajesh GongalDepartment of SurgeryPatan Hospital, Patan, Nepal.Email: rajgongal@yahoo.comORIGINAL ARTICLE J Nepal Med Assoc 2009;48(174):139-43INTRODUCTIONThe sophisticated Emergency Medical Service (EMS) is limited to developed country only. Many developing countries are now slowly developing such system although most services are localized to the urban areas.1-5 Although inadquate ambulance services are available in the capital city of Nepa

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.100
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.293
Teacher spread0.280 · 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 teacher head, 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".

Quick stats

Citations10
Published2009
Admission routes1
Has abstractyes

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