Evidence map›Paper›PMID 26180988›Full record

ArticleAmerican journal of public health2015

Impact of Economic Constraints on Public Health Delivery Systems Structures.

Sharla A Smith, Glen P Mays, Holly C Felix, J Mick Tilford, Geoffrey M Curran, Michael A Preston

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of public health, 2015. 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
7.3field-weighted citation impact, top 3% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Sharla A SmithSharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.
Glen P MaysSharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.
Holly C FelixSharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.
J Mick TilfordSharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.
Geoffrey M CurranSharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.
Michael A PrestonSharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.
University of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe estimated the effect of economic constraints on public health delivery systems (PHDS) density and centrality during 3 time periods, 1998, 2006, and 2012.

methodsWe obtained data from the 1998, 2006, and 2012 National Longitudinal Study of Public Health Agencies; the 1993, 1997, 2005, and 2010 National Association for County and City Health Officials Profile Study; and the 1997, 2008, and 2011 Area Resource Files. We used multivariate regression models for panel data to estimate the impact of economic constraints on PHDS density and centrality.

resultsFindings indicate that economic constraints did not have a significant impact on PHDS density and centrality over time but population is a significant predictor of PHDS density, and the presence of a board of health (BOH) is a significant predictor of PHDS density and centrality. Specifically, a 1% increase in population results in a significant 1.71% increase in PHDS density. The presence of a BOH is associated with a 10.2% increase in PHDS centrality, after controlling for other factors.

conclusionsThese findings suggest that other noneconomic factors influence PHDS density centrality.

Indexed as

Cooperative BehaviorHumansLongitudinal StudiesPublic Health AdministrationPublic Health PracticeResidence CharacteristicsRetrospective Studies

Identifiers

PMID26180988
PMCPMC4539844
OpenAlexW1943555331

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.