Evidence map›Paper›PMID 20377759›Full record

ArticleThe Milbank quarterly2010

Understanding the organization of public health delivery systems: an empirical typology.

Glen P Mays, F Douglas Scutchfield, Michelyn W Bhandari, Sharla A Smith

Open access · bronzeAbstract read
In one paragraph

Article in The Milbank quarterly, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
21.9field-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

62 citing papers in PubMed, 131 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Glen P MaysFay W. Boozman College of Public Health, University of Arkansas, Little Rock, AR 72205, USA. gpmays@uams.edu
F Douglas Scutchfield
Michelyn W Bhandari
Sharla A Smith
University of Kentucky · USEastern Kentucky University · USUniversity of Arkansas at Little Rock · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029884 · NCRR · UNIV OF ARKANSAS FOR MED SCIS · PI LOWERY, CURTIS L · 2009 to 2011
$11.4M
NCRR NIH HHS 1UL1RR029884NCRR NIH HHS UL1 RR029884
6 · The paper itself

Abstract

contextPolicy discussions about improving the U.S. health care system increasingly recognize the need to strengthen its capacities for delivering public health services. A better understanding of how public health delivery systems are organized across the United States is critical to improvement. To facilitate the development of such evidence, this article presents an empirical method of classifying and comparing public health delivery systems based on key elements of their organizational structure.

methodsThis analysis uses data collected through a national longitudinal survey of local public health agencies serving communities with at least 100,000 residents. The survey measured the availability of twenty core public health activities in local communities and the types of organizations contributing to each activity. Cluster analysis differentiated local delivery systems based on the scope of activities delivered, the range of organizations contributing, and the distribution of effort within the system.

findingsPublic health delivery systems varied widely in organizational structure, but the observed patterns of variation suggested that systems adhere to one of seven distinct configurations. Systems frequently migrated from one configuration to another over time, with an overall trend toward offering a broader scope of services and engaging a wider range of organizations.

conclusionsPublic health delivery systems exhibit important structural differences that may influence their operations and outcomes. The typology developed through this analysis can facilitate comparative studies to identify which delivery system configurations perform best in which contexts.

Indexed as

Public HealthCohort StudiesCommunity NetworksDelivery of Health CareHealth Services AccessibilityHumansLongitudinal StudiesModels, OrganizationalPrimary Health CareQuality Assurance, Health CareRegional Medical ProgramsUnited States

Identifiers

PMID20377759
PMCPMC2888010
OpenAlexW2065533133

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.