Evidence map›Paper›PMID 28771639›Full record

Observational studyPloS one2017

Utilisation of prehospital emergency medical services for hyperglycaemia: A community-based observational study.

Melanie Villani, Natalie Nanayakkara, Sanjeeva Ranasinha, Arul Earnest, Karen Smith, Georgia Soldatos, Helena Teede, Sophia Zoungas

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
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

8 authors at 2 institutions in 1 country.

Melanie VillaniMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Natalie NanayakkaraMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Sanjeeva RanasinhaMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Arul EarnestMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Karen SmithResearch and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.
Georgia SoldatosMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Helena TeedeMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Sophia ZoungasMonash Centre for Health Research and Implementation-MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, Locked Bag 29, Clayton, Victoria, Australia.
Monash Health · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study examines prehospital Emergency Medical Service (EMS) utilisation and patterns of demand for hyperglycaemia management, including characteristics of individuals and factors related to hospital transport. MATERIALS AND

methodsA state-wide, community-based observational study of all patients requiring prehospital EMS for hyperglycaemia during a 7 year study period (Jan 2009-Dec 2015) using electronic data from the Ambulance Victoria data warehouse was conducted. Pre-specified variables related to patient demographics, comorbidities, examination findings, paramedic treatment and transport outcomes were obtained. Logistic regression was used to assess factors associated with transport to hospital.

resultsThere were 11,417 cases of hyperglycaemia attended by paramedics during the study period, accounting for 0.3-0.4% of the total annual EMS caseload, and equating to 0.54 attendances per 100 people with diabetes in the state of Victoria, Australia, per year. There was a significant increase in annual utilisation, with a rate ratio of 1.62 between 2009 (2.42 cases per 10,000 population) and 2015 (3.91 cases per 10,000 population). Fifty-one percent of cases had type 2 diabetes, 37% had type 1 diabetes, 4% had diabetes with the type unspecified and 8% had no recorded history of diabetes. Ninety percent of cases were transported to hospital. Factors associated with increased odds of transport to hospital included no known history of diabetes, regional/rural locations, case time between 0600 and <1800 hours, increasing number of comorbidities and increasingly unstable vital sign observations.

conclusionThere is substantial utilisation of prehospital EMS for hyperglycaemia. With increased population prevalence of diabetes predicted, further research on opportunities for prevention, as well as optimal management in the prehospital environment is warranted.

Indexed as

AdolescentAdultComorbidityDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Emergency Medical ServicesFemaleHumansHyperglycemiaMaleMiddle AgedResidence CharacteristicsRetrospective StudiesTime FactorsTransportation of PatientsYoung Adult

Identifiers

PMID28771639
PMCPMC5542592
OpenAlexW2742810474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 OpenQuestion graph.