Evidence map›Paper›PMID 27854524›Full record

ArticleAmerican journal of public health2017

Creating a Taxonomy of Local Boards of Health Based on Local Health Departments' Perspectives.

Gulzar H Shah, Sergey Sotnikov, Carolyn J Leep, Jiali Ye, Timothy W Van Wave

Abstract read
In one paragraph

Article in American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Gulzar H ShahGulzar H. Shah is with Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro. Sergey Sotnikov and Timothy W. Van Wave are with the Office for State, Tribal, Local, and Territorial Support, Centers for Disease Control and Prevention, Atlanta, GA. Carolyn J. Leep and Jiali Ye are with National Association of County and City Health Officials, Washington, DC.
Sergey SotnikovGulzar H. Shah is with Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro. Sergey Sotnikov and Timothy W. Van Wave are with the Office for State, Tribal, Local, and Territorial Support, Centers for Disease Control and Prevention, Atlanta, GA. Carolyn J. Leep and Jiali Ye are with National Association of County and City Health Officials, Washington, DC.
Carolyn J LeepGulzar H. Shah is with Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro. Sergey Sotnikov and Timothy W. Van Wave are with the Office for State, Tribal, Local, and Territorial Support, Centers for Disease Control and Prevention, Atlanta, GA. Carolyn J. Leep and Jiali Ye are with National Association of County and City Health Officials, Washington, DC.
Jiali YeGulzar H. Shah is with Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro. Sergey Sotnikov and Timothy W. Van Wave are with the Office for State, Tribal, Local, and Territorial Support, Centers for Disease Control and Prevention, Atlanta, GA. Carolyn J. Leep and Jiali Ye are with National Association of County and City Health Officials, Washington, DC.
Timothy W Van WaveGulzar H. Shah is with Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro. Sergey Sotnikov and Timothy W. Van Wave are with the Office for State, Tribal, Local, and Territorial Support, Centers for Disease Control and Prevention, Atlanta, GA. Carolyn J. Leep and Jiali Ye are with National Association of County and City Health Officials, Washington, DC.

Funding

Intramural CDC HHS CC999999OSTLTS CDC HHS U38 OT000172
6 · The paper itself

Abstract

objectivesTo develop a local board of health (LBoH) classification scheme and empirical definitions to provide a coherent framework for describing variation in the LBoHs.

methodsThis study is based on data from the 2015 Local Board of Health Survey, conducted among a nationally representative sample of local health department administrators, with 394 responses. The classification development consisted of the following steps: (1) theoretically guided initial domain development, (2) mapping of the survey variables to the proposed domains, (3) data reduction using principal component analysis and group consensus, and (4) scale development and testing for internal consistency.

resultsThe final classification scheme included 60 items across 6 governance function domains and an additional domain-LBoH characteristics and strengths, such as meeting frequency, composition, and diversity of information sources. Application of this classification strongly supports the premise that LBoHs differ in their performance of governance functions and in other characteristics.

conclusionsThe LBoH taxonomy provides an empirically tested standardized tool for classifying LBoHs from the viewpoint of local health department administrators. Future studies can use this taxonomy to better characterize the impact of LBoHs.

Indexed as

Public Health AdministrationData CollectionDemographyGoverning BoardHumansLocal GovernmentModels, OrganizationalSurveys and QuestionnairesUnited States

Identifiers

PMID27854524
PMCPMC5308160

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.