Evidence map›Paper›PMID 39671572›Full record

ArticleInteractive journal of medical research2024

Close-Up on Ambulance Service Estimation in Indonesia: Monte Carlo Simulation Study.

Syaribah N Brice, Justin J Boutilier, Geraint Palmer, Paul R Harper, Vincent Knight, Mark Tuson, Daniel Gartner

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Syaribah N BriceSchool of Mathematics, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0001-6762-4764
Justin J BoutilierTelfer School of Management, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-0904-4467
Geraint PalmerSchool of Mathematics, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0001-7865-6964
Paul R HarperSchool of Mathematics, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0001-7894-4907
Vincent KnightSchool of Mathematics, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0002-4245-0638
Mark TusonSchool of Mathematics, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0003-4151-7164
Daniel GartnerSchool of Mathematics, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0002-9835-352X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency medical services have a pivotal role in giving timely and appropriate responses to emergency events caused by medical, natural, or human-caused disasters. To provide adequate resources for the emergency services, such as ambulances, it is necessary to understand the demand for such services. In Indonesia, estimates of demand for emergency services cannot be obtained easily due to a lack of published literature or official reports concerning the matter.

objectiveThis study aimed to ascertain an estimate of the annual volume of hospital emergency visits and the corresponding demand for ambulance services in the city of Jakarta.

methodsIn this study, we addressed the problem of emergency services demand estimation when aggregated detailed data are not available or are not part of the routine data collection. We used survey data together with the local Office of National Statistics reports and sample data from hospital emergency departments to establish parameter estimation. This involved estimating 4 parameters: the population of each area per period (day and night), the annual per capita hospital emergency visits, the probability of an emergency taking place in each period, and the rate of ambulance need per area. Monte Carlo simulation and naïve methods were used to generate an estimation for the mean ambulance needs per area in Jakarta.

resultsThe results estimated that the total annual ambulance need in Jakarta is between 83,000 and 241,000. Assuming the rate of ambulance usage in Jakarta at 9.3%, we estimated the total annual hospital emergency visits in Jakarta at around 0.9-2.6 million. The study also found that the estimation from using the simulation method was smaller than the average (naïve) methods (P<.001).

conclusionsThe results provide an estimation of the annual emergency services needed for the city of Jakarta. In the absence of aggregated routinely collected data on emergency medical service usage in Jakarta, our results provide insights into whether the current emergency services, such as ambulances, have been adequately provided.

Indexed as

ambulance servicesemergency medical servicesEMShospital emergency serviceslow-and-middle-income countriesSoutheast Asian countriessurvey

Identifiers

PMID39671572
PMCPMC11681287

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.