Evidence map›Paper›PMID 38412272›Full record

ArticleAmerican journal of epidemiology2024

Measuring variation in infant mortality and deaths of despair by US congressional district in Pennsylvania: a methodological case study.

Alina Schnake-Mahl, Giancarlo Anfuso, Neal D Goldstein, Jonathan Purtle, Jan M Eberth, Ana Ortigoza, Usama Bilal

Abstract read
In one paragraph

Article in American journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Measuring the Health of Philadelphia's City Council Districts.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  2. Article
  3. 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

7 authors.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
Social and policy determinants and impacts on COVID-19 and influenza disparitiesK01AI168579 · NIAID · DREXEL UNIVERSITY · PI Alina Schnake-Mahl · 2022 to 2026
$601k
Policy Implementation Research on Earmarked Taxes for Mental Health ServicesR21MH125261 · NIMH · NEW YORK UNIVERSITY · PI PURTLE, JONATHAN · 2021 to 2022
$404k
NIAID NIH HHS K01 AI168579NIH HHS DP5 OD026429NIMH NIH HHS R21 MH125261
6 · The paper itself

Abstract

Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place, along with impacts of policies implemented at these levels. However, additional geopolitical units (units with both geographic and political meaning), such as congressional districts (CDs), present further opportunities to connect research with public policy. Here we provide a step-by-step guide on how to conduct disparities-focused analysis at the CD level. As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels of and disparities in infant mortality and deaths of despair in the 19 US CDs of Pennsylvania for the 111th-112th (2009-2012) Congresses and 18 CDs for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending CD-level analysis to other outcomes, states, and geopolitical boundaries, such as state legislative districts. Increased surveillance of health outcomes at the CD level can help prompt policy action and advocacy and, hopefully, reduce rates of and disparities in adverse health outcomes.

Indexed as

Health Status DisparitiesInfant MortalityHumansInfantInfant, NewbornPennsylvaniaareal unitscongressional districtshealth disparitiesmortalitypolitical epidemiology

Identifiers

PMID38412272
PMCPMC11466850

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.