Evidence map›Paper›PMID 38572137›Full record

ArticleDelaware journal of public health2024

Mapping Health Disparities:: Leveraging Area-Based Deprivation Indices for Targeted Chronic Disease Intervention.

Darrell Dow

Abstract read
In one paragraph

Article in Delaware journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

1 author.

Darrell DowCorporate Director of Analytics and Digital Solutions, ChristianaCare Health System, Adjunct Instructor, Wilmington University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article addresses the critical link between socioeconomic status and health outcomes in chronic disease patients, emphasizing the need for system-level outcome measurement stratified by socioeconomic status. Despite the acknowledged influence of social determinants, there is a lack of published studies analyzing chronic disease outcomes neighborhood by neighborhood. The importance of mapping as a public health tool, and the significance of analyzing outcomes at the neighborhood level is emphasized. The U.S. Census Bureau's hierarchy of space definitions is presented, particularly focusing on census tracts as a unique opportunity for analyzing chronic disease outcomes. Two Area-Based Deprivation Indices (ABDIs) - the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI) - as tools to measure socioeconomic disadvantage and vulnerability to environmental stressors, respectively are described. A brief survey of the weaknesses of ABDIs and limitations in addressing individual-level factors is addressed followed by a discussion of the challenges in translating patient address data into census block data. The evolving conversation around equity analysis and its impact on chronic disease management is presented. It highlights the willingness of public payers to tie payments to ABDIs, signaling a shift towards a more equitable healthcare system. Private insurers and health systems are urged to invest in geocoding strategies to understand and improve outcomes for the diverse neighborhoods they serve, acknowledging that the path forward involves addressing health disparities at the population level.

Identifiers

PMID38572137
PMCPMC10987032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.