Evidence map›Paper›PMID 27859257›Full record

ArticleHealth services research2018

Does Spatial Access to Primary Care Affect Emergency Department Utilization for Nonemergent Conditions?

Jamie Fishman, Sara McLafferty, William Galanter

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Racism Counterfactuals in Health Research.Journal of racial and ethnic health disparities · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Hospital Proximity and Emergency Department Use among Assisted Living Residents.Journal of the American Medical Directors Association · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Jamie FishmanDepartment of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Chicago, IL.
Sara McLaffertyDepartment of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Chicago, IL.
William GalanterDepartment of Medicine, University of Illinois College of Medicine at Chicago, Chicago, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the contributions of individual- and neighborhood-level spatial access to care to the utilization of emergency departments (EDs) for preventable conditions through implementation of novel local spatial access measures. DATA SOURCES/STUDY

settingEmergency department admissions data are from four HealthLNK member hospitals in Chicago from 2007 to 2011. Primary care physician office and clinic locations were obtained from the American Medical Association and the City of Chicago. STUDY

designMultilevel logit regression was used to model the relationship between individual- and neighborhood-level attributes and preventable ED use. DATA COLLECTION/EXTRACTION

methodsEmergency department admissions data were classified based on the primary diagnosis for each encounter. Spatial access to care indices were generated in ArcGIS, and values were extracted at each ZIP code centroid to match patients' ZIP codes. PRINCIPAL

findingsBeyond sociodemographic factors such as gender and race, patients living in medically underserved areas (MUAs) and areas with lower spatial access to primary care clinics had higher odds of preventable ED use.

conclusionsPreventable ED use can be associated with sociodemographic characteristics, as well as spatial access to primary care services. This study reveals potential for using local measures of spatial accessibility for preventable ED analyses.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsEmergency Service, HospitalFemaleHealth Services AccessibilityHumansLogistic ModelsMaleMedically Underserved AreaMiddle AgedPrimary Health CareResidence CharacteristicsSex FactorsGISpreventable ED admissionsSpatial access

Identifiers

PMID27859257
PMCPMC5785320

What OpenQuestion holds

Textmetadata
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.