Evidence map›Paper›PMID 19686249›Full record

ArticleHealth services research2009

Geographic variation in public health spending: correlates and consequences.

Glen P Mays, Sharla A Smith

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
16.1field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 123 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Glen P MaysDepartment of Health Policy & Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA. gpmays@uams.edu
Sharla A Smith
University of Arkansas for Medical Sciences · US

Funding

Working to Eliminate Barriers: Cancer Communities OnlineU01CA114607 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI HENRY-TILLMAN, RONDA S · 2005 to 2011
$4.8M
NCI NIH HHS CA114607NCI NIH HHS U01 CA114607
6 · The paper itself

Abstract

objectivesTo examine the extent of variation in public health agency spending levels across communities and over time, and to identify institutional and community correlates of this variation. DATA SOURCES AND

settingThree cross-sectional surveys of the nation's 2,900 local public health agencies conducted by the National Association of County and City Health Officials in 1993, 1997, and 2005, linked with contemporaneous information on population demographics, socioeconomic characteristics, and health resources. STUDY

designA longitudinal cohort design was used to analyze community-level variation and change in per-capita public health agency spending between 1993 and 2005. Multivariate regression models for panel data were used to estimate associations between spending, institutional characteristics, health resources, and population characteristics. PRINCIPAL

findingsThe top 20 percent of communities had public health agency spending levels >13 times higher than communities in the lowest quintile, and most of this variation persisted after adjusting for differences in demographics and service mix. Local boards of health and decentralized state-local administrative structures were associated with higher spending levels and lower risks of spending reductions. Local public health agency spending was inversely associated with local-area medical spending.

conclusionsThe mechanisms that determine funding flows to local agencies may place some communities at a disadvantage in securing resources for public health activities.

Indexed as

Health ExpendituresHumansLongitudinal StudiesModels, EconometricMultivariate AnalysisPublic Health AdministrationPublic Health PracticeRegression AnalysisResidence CharacteristicsRetrospective StudiesUnited States

Identifiers

PMID19686249
PMCPMC2758407
OpenAlexW2150570104

What OpenQuestion holds

Textmetadata
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.