Evidence map›Paper›PMID 35189868›Full record

ArticleBMC health services research2022

US local public health department spending between 2008 and 2016 did not increase for communities in need.

Olivia Reszczynski, John Connolly, Kaitlyn Shultz, Sheila Kelly, Nandita Mitra, Jeffrey Hom, Atheendar Venkataramani, Krisda H Chaiyachati

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Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Olivia Reszczynski *Medical University of South Carolina, Charleston, SC, USA.
John Connolly *The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Kaitlyn ShultzThe Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Sheila KellyThe Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Nandita MitraDepartment of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, USA.
Jeffrey HomPhiladelphia Department of Public Health, Philadelphia, USA.
Atheendar VenkataramaniThe Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Krisda H ChaiyachatiThe Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. Krisda.Chaiyachati@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0003-3326-6641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGreater US local public health department (LPHD) spending has been associated with decreases in population-wide mortality. We examined the association between changes in LPHD spending between 2008 and 2016 and county-level sociodemographic indicators of public health need.

methodsMultivariable linear regression was used to estimate the association between changes in county-level per-capita LPHD spending and 2008 sociodemographic indicators of interest: percent of population that was over 65 years old, Black, Hispanic, in poverty, unemployed, and uninsured. A second model assessed the relationship between changes in LPHD spending and sociodemographic shifts between 2008 and 2016.

resultsLPHD spending increases were associated with higher percentage points of 2008 adults over 65 years of age (+$0.53 per higher percentage point; 95% CI: +$0.01 to +$1.06) and unemployment (-$1.31; 95% CI: -$2.34 to -$0.27). Spending did not increase for communities with a higher proportion of people who identified as Black or Hispanic, or those with a greater proportion of people in poverty or uninsured, using either baseline or sociodemographic shifts between 2008 and 2016.

conclusionFuture LPHD funding decisions should consider increasing investments in counties serving disadvantaged communities to counteract the social, political, and structural barriers which have historically prevented these communities from achieving better health.

Indexed as

InvestmentsPublic HealthAdultAgedHumansPovertyCommunity healthHealthcare policyPublic health

Identifiers

PMID35189868
PMCPMC8860251

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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.