Evidence map›Paper›PMID 19780852›Full record

ArticleHealth services research2010

Spatial implications associated with using Euclidean distance measurements and geographic centroid imputation in health care research.

Stephen G Jones, Avery J Ashby, Soyal R Momin, Allen Naidoo

Abstract read
In one paragraph

Article in Health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
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  11. Population Access to Hospital Emergency Departments: The Spatial Analysis in Public Health Research.International journal of environmental research and public health · 2022
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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

4 authors.

Stephen G JonesBlueCross BlueShield of Tennessee, Medical Informatics Department, Chattanooga, TN, USA. stephen_jones@bcbst.co
Avery J Ashby
Soyal R Momin
Allen Naidoo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the effect of using Euclidean measurements and zip-code centroid geo-imputation versus more precise spatial analytical techniques in health care research. DATA SOURCES: Commercially insured members from a southeastern managed care organization. STUDY

designDistance from admitting inpatient facility to member's home and zip-code centroid (geographic placement) was compared using Euclidean straight-line and shortest-path drive distances (measurement technique). DATA COLLECTION: Administrative claims from October 2005 to September 2006. PRINCIPAL

findingsMeasurement technique had a greater impact on distance values compared with geographic placement. Drive distance from the geocoded address was highly correlated (r=0.99) with the Euclidean distance from the zip-code centroid.

conclusionsActual differences were relatively small. Researchers without capabilities to produce drive distance measurements and/or address geocoding techniques could rely on simple linear regressions to estimate correction factors with a high degree of confidence.

Indexed as

Health Services AccessibilityModels, StatisticalAutomobile DrivingGeographic Information SystemsHealth FacilitiesHealth Services ResearchHousingPostal ServiceRegression AnalysisUnited States

Identifiers

PMID19780852
PMCPMC2813451

What OpenQuestion holds

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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 OpenQuestion graph.