Evidence map›Paper›PMID 32676640›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

The Neighborhood Deprivation Index and Provider Geocoding Identify Critical Catchment Areas for Diabetes Outreach.

Ashby F Walker, Hui Hu, Nicolas Cuttriss, Claudia Anez-Zabala, Katarina Yabut, Michael J Haller, David M Maahs

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
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  5. COVID-19 impacts and inequities among underserved communities with diabetes.Journal of clinical & translational endocrinology · 2024
    Article
  6. Review
  7. Review
  8. Multisite Quality Improvement Program Within the Project ECHO Diabetes Remote Network.Joint Commission journal on quality and patient safety · 2024
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  13. Review
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  15. Project ECHO Diabetes Cost Modeling to Support the Replication and Expansion of Tele-mentoring Programs in Non-research Settings.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Article
  16. Article
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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

7 authors at 2 institutions in 1 country.

Ashby F WalkerUniversity of Florida Diabetes Institute, University of Florida, Gainesville, Florida.
Hui HuDepartment of Epidemiology, University of Florida, Gainesville, Florida.
Nicolas CuttrissDivision of Pediatric Endocrinology, Stanford University, Stanford, California.
Claudia Anez-ZabalaDepartment of Pediatrics, University of Florida, Gainesville, Florida.
Katarina YabutDivision of Pediatric Endocrinology, Stanford University, Stanford, California.
Michael J HallerUniversity of Florida Diabetes Institute, University of Florida, Gainesville, Florida.
David M MaahsDivision of Pediatric Endocrinology, Stanford University, Stanford, California.
University of Florida · USStanford University · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

purposeIn designing a Project ECHO™ type 1 diabetes (T1D) program in Florida and California, the Neighborhood Deprivation Index (NDI) was used in conjunction with geocoding of primary care providers (PCPs) and endocrinologists in each state to concurrently identify areas with low endocrinology provider density and high health risk/poverty areas. The NDI measures many aspects of poverty proven to be critical indicators of health outcomes.

methodsThe data from the 2013-2017 American Community Survey (ACS) 5-year estimates were used to create NDI maps for California and Florida. In addition, geocoding and 30-minute drive-time buffers were performed using publicly available provider directories for PCPs and endocrinologists in both states by Google Geocoding API and the TravelTime Search Application Programming Interface (API).

resultsBased on these findings, we defined high-need catchment areas as areas with (1) more than a 30-minute drive to the nearest endocrinologist but within a 30-minute drive to the nearest PCP; (2) an NDI in the highest quartile; and (3) a population above the median (5199 for census tracts, and 1394 for census block groups). Out of the 12 181 census tracts and 34 490 census block groups in California and Florida, we identified 57 tracts and 215 block groups meeting these criteria as high-need catchment areas.

conclusionGeospatial analysis provides an important initial methodologic step to effectively focus outreach efforts in diabetes program development. The integration of the NDI with geocoded provider directories enables more cost-effective and targeted interventions to reach the most vulnerable populations living with T1D.

Indexed as

Community-Institutional RelationsCultural DeprivationDiabetes MellitusGeographic MappingCaliforniaCensusesEndocrinologistsFloridaHealth PersonnelHealth Services AccessibilityHumansPhysicians, Primary CareReferral and ConsultationResidence CharacteristicsRisk FactorsSocioeconomic Factorsgeocodinghealth disparitiesNeighborhood Deprivation IndexoutreachProject ECHO™type 1 diabetes

Identifiers

PMID32676640
PMCPMC7418444
OpenAlexW3043713252

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.