Evidence map›Paper›PMID 28559039›Full record

ArticleAnnals of emergency medicine2017

Geographic Variation in Use of Ambulance Transport to the Emergency Department.

Amresh D Hanchate, Michael K Paasche-Orlow, K Sophia Dyer, William E Baker, Chen Feng, James Feldman

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Investigating the Geographic Disparities of Amenable Mortality and Related Ambulance Services in Hungary.International journal of environmental research and public health · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

6 authors.

Amresh D HanchateVA Boston Healthcare System, Boston, MA; Section of General Internal Medicine, Boston University School of Medicine, Boston, MA. Electronic address: hanchate@bu.edu.
Michael K Paasche-OrlowSection of General Internal Medicine, Boston University School of Medicine, Boston, MA; Boston Medical Center, Boston, MA.
K Sophia DyerDepartment of Emergency Medicine, Boston University School of Medicine, Boston, MA; Boston Medical Center, Boston, MA; Boston EMS, City of Boston, Boston, MA.
William E BakerDepartment of Emergency Medicine, Boston University School of Medicine, Boston, MA; Boston Medical Center, Boston, MA.
Chen FengSection of General Internal Medicine, Boston University School of Medicine, Boston, MA.
James FeldmanDepartment of Emergency Medicine, Boston University School of Medicine, Boston, MA; Boston Medical Center, Boston, MA.

Funding

National Estimates for Inpatient Care, Outcomes & Hospital Effect among HispanicsR01MD007705 · NIMHD · BOSTON MEDICAL CENTER · PI HANCHATE, AMRESH D · 2013 to 2017
$2.2M
Racial and Ethnic Health Disparities Due to Ambulance DiversionR01HL127212 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FELDMAN, JAMES ALAN, HANCHATE, AMRESH D · 2016 to 2019
$2.0M
NHLBI NIH HHS R01 HL127212NIMHD NIH HHS R01 MD007705
6 · The paper itself

Abstract

STUDY

objectiveEvidence on variability in emergency medical services use is limited. We obtain national evidence on geographic variation in the use of ambulance transport to the emergency department (ED) among Medicare enrollees and assess the role of health status, socioeconomic status, and provider availability.

methodsWe used 2010 Medicare claims data for a random sample of 999,999 enrollees aged 66 years and older, and identified ambulance transport and ED use. The main outcome measures were number of ambulance transports to the ED per 100 person-years (ambulance transport rate) and proportion (percentage) of ED visits by ambulance transport by hospital referral regions.

resultsThe national ambulance transport rate was 22.2 and the overall proportion of ED visits by ambulance was 36.7%. Relative to hospital referral regions in the lowest rate quartile, those in the highest quartile had a 75% higher ambulance transport rate (incidence rate ratio [IRR] 1.75; 95% confidence interval [CI] 1.69 to 1.81) and a 15.5% higher proportion of ED visits by ambulance (IRR 1.155; 95% CI 1.146 to 1.164). Adjusting for health status, socioeconomic status, and provider availability reduced quartile 1 versus quartile 4 difference in ambulance transport rate by 43% (IRR 1.43; 95% CI 1.38 to 1.48) and proportion of ED visits by ambulance by 7% (IRR 1.145; 95% CI 1.135 to 1.155). Among the 3 covariate domains, health status was associated with the largest variability in ambulance transport rate (30.1%), followed by socioeconomic status (12.8%) and provider availability (2.9%).

conclusionGeographic variability in ambulance use is large and associated with variation in patient health status and socioeconomic status.

Indexed as

Emergency Service, HospitalMedicareAgedAged, 80 and overAmbulancesFemaleHealth Care SurveysHumansInsurance CoverageMaleMedically UninsuredReferral and ConsultationRetrospective StudiesSocial ClassTransportation of PatientsUnited States

Identifiers

PMID28559039
PMCPMC5614809

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.