Evidence map›Paper›PMID 32324532›Full record

ArticlePreventing chronic disease2020

Identifying New York City Neighborhoods at Risk of Being Overlooked for Interventions.

Joy X Kang, Amber Levanon Seligson, Kacie L Dragan

Abstract read
In one paragraph

Article in Preventing chronic disease, 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.

  1. Trial
  2. Environmental Risk and Adverse Perinatal Health Indicators in New York City: A Geospatial Hotspot Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Joy X KangNYC Department of Health and Mental Hygiene, New York, New York.
Amber Levanon SeligsonNYC Department of Health and Mental Hygiene, New York, New York.
Kacie L DraganHarvard University Graduate School of Arts and Sciences, PhD Program in Health Policy, Cambridge, Massachusetts.

Funding

HEALTH POLICY TRAINING PROGRAMT32HS000055 · AHRQ · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI CUTLER, DAVID M · 1994 to 2024
$7.1M
AHRQ HHS T32 HS000055
6 · The paper itself

Abstract

Public health agencies are often faced with difficult decisions about where and how to allocate funding and resources. This question of resource allocation is central to public health policy; however, decisions related to resource allocation are sometimes made via informal or subjective approaches. We walk readers through a process of identifying needs across different neighborhoods in New York City (NYC) by examining community district-level health outcomes using data from published Community Health Profile reports released by the NYC Department of Health and Mental Hygiene (DOHMH) in 2015. In NYC, community districts are represented by community boards that provide a forum for addressing the needs of the community, making them a useful geographic unit for examining health information and turning data into action. We examined prevalence estimates and 95% confidence intervals of health indicators in each community district to identify significant disparities and calculated relative disparities in rates or prevalence to understand the relative magnitude of each disparity. Lastly, we demonstrate an application of this approach by identifying a cluster of neighborhoods with a high chance of being overlooked for public health interventions by conventional methods because of the relative number of disparities that exist in these neighborhoods. We present information on the disparity profile (number of disparities and relative disparity) for each neighborhood within the cluster and discuss potential public health implications. This approach can be applied to other jurisdictions to inform public health planning and resource allocation.

Indexed as

Healthcare DisparitiesHealth Services Needs and DemandHumansNew York CityPublic HealthResidence CharacteristicsSurveys and Questionnaires

Identifiers

PMID32324532
PMCPMC7207047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.