Evidence map›Paper›PMID 32081672›Full record

ArticleUrology2020

Combining Drive Time and Urologist Density to Understand Access to Urologic Care.

Claire L Leiser, Ross E Anderson, Christopher Martin, Heidi A Hanson, Brock O'Neil

Abstract read
In one paragraph

Article in Urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Claire L LeiserUniversity of Utah, Huntsman Cancer Institute, Salt Lake City, UT.
Ross E AndersonUniversity of Utah, Huntsman Cancer Institute, Salt Lake City, UT.
Christopher MartinUniversity of Utah, Huntsman Cancer Institute, Salt Lake City, UT.
Heidi A HansonUniversity of Utah, Huntsman Cancer Institute, Salt Lake City, UT.
Brock O'NeilUniversity of Utah, Huntsman Cancer Institute, Salt Lake City, UT. Electronic address: brock.oneil@hci.utah.edu.

Funding

Competition, Bundled Care Payment, and Low-Value Cancer CareK08CA234431 · NCI · UNIVERSITY OF UTAH · PI O'NEIL, BROCK · 2019 to 2023
$1.3M
Subtyping Bladder Cancer: A Multi-omic, Exposure-informed, Genealogical Approach (MErGE)K07CA230150 · NCI · UNIVERSITY OF UTAH · PI HANSON, HEIDI ANNE · 2018 to 2021
$683k
NCI NIH HHS K07 CA230150NCI NIH HHS K08 CA234431
6 · The paper itself

Abstract

objectiveTo improve our understanding of timely access to urologic care, we leveraged driving time combined with a measure of urologist density. MATERIALS AND

methodsWe identified all urologists who billed Medicare using National Provider Identifier in 2015 and geocoded their practice location. We developed drive-time based service areas for each provider using Esri's street network dataset stratified into 30, 60, 90, and 120-minute areas. Population characteristics were aggregated and block groups were assigned to a Hospital Referral Region.

resultsWe identified 10,170 urologists that billed Medicare in 2015 in the United States. Compared to the northeast, vast expanses of land across the western United States have drive times to urology care >60 minutes. However, less than 13% of the US population is unable to obtain urologic care within 30 minutes. Likely reflecting rural populations, White and American Indian populations are represented in greater proportion among those requiring a longer drive time to urologic care. Disparities were noted between areas with timely access to a high versus low density of urologists; low density areas have a greater proportion of Black and Asian populations and greater income inequality.

conclusionsDrive time to urologists combined with urologist density is a novel approach to investigating urologic care access and a tool for health disparities research. While almost all of the US population lives within 1-hour drive time to a urologist there remains important differences in the population severed by high compared to low provider density.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityProfessional Practice LocationUrologyEthnicityHealth WorkforceHumansMedicareNeeds AssessmentRural Health ServicesSocial Determinants of HealthSocioeconomic FactorsUnited States

Identifiers

PMID32081672
PMCPMC7237283

What OpenQuestion holds

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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.