Evidence map›Paper›PMID 25689181›Full record

ArticleAmerican journal of public health2015

Advancing the use of evidence-based decision-making in local health departments with systems science methodologies.

Yan Li, Nan Kong, Mark Lawley, Linda Weiss, José A Pagán

Abstract read
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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. Assessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinations.Journal of the American Medical Informatics Association : JAMIA · 2016
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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.

Yan LiYan Li and José A. Pagán are with the Center for Health Innovation, The New York Academy of Medicine, New York. Nan Kong is with the Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN. Yan Li and Mark Lawley are with the Department of Industrial and Systems Engineering, Dwight Look College of Engineering, Texas A&M University, College Station. Linda Weiss is with the Center for Evaluation and Applied Research, The New York Academy of Medicine. José A. Pagán is also with the Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York.
Nan Kong
Mark Lawley
Linda Weiss
José A Pagán

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe assessed how systems science methodologies might be used to bridge resource gaps at local health departments (LHDs) so that they might better implement evidence-based decision-making (EBDM) to address population health challenges.

methodsWe used the New York Academy of Medicine Cardiovascular Health Simulation Model to evaluate the results of a hypothetical program that would reduce the proportion of people smoking, eating fewer than 5 fruits and vegetables per day, being physically active less than 150 minutes per week, and who had a body mass index (BMI) of 25 kg/m(2) or greater. We used survey data from the Behavioral Risk Factor Surveillance System to evaluate health outcomes and validate simulation results.

resultsSmoking rates and the proportion of the population with a BMI of 25 kg/m(2) or greater would have decreased significantly with implementation of the hypothetical program (P < .001). Two areas would have experienced a statistically significant reduction in the local population with diabetes between 2007 and 2027 (P < .05).

conclusionsThe use of systems science methodologies might be a novel and efficient way to systematically address a number of EBDM adoption barriers at LHDs.

Indexed as

Decision MakingHealth BehaviorPublic Health PracticeSystems AnalysisAdultChronic DiseaseDietEvidence-Based PracticeExerciseFemaleHumansLocal GovernmentMaleMiddle AgedModels, TheoreticalNew York

Identifiers

PMID25689181
PMCPMC4355700

What OpenQuestion holds

Textmetadata
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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.