Evidence map›Paper›PMID 29566575›Full record

ArticleHealth promotion practice2019

Evaluating Comprehensive State Tobacco Prevention and Control Programs Using an Outcome Indicator Framework.

Erika Fulmer, Todd Rogers, LaShawn Glasgow, Susan Brown, Nicole Kuiper

Abstract read
In one paragraph

Article in Health promotion practice, 2019. 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
–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

3 citing papers in PubMed.

  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

5 authors.

Erika Fulmer1 Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0003-0370-3644
Todd Rogers2 RTI International, Public Health Research Division, Research Triangle Park, NC, USA.
LaShawn Glasgow2 RTI International, Public Health Research Division, Research Triangle Park, NC, USA.
Susan Brown1 Centers for Disease Control and Prevention, Atlanta, GA, USA.
Nicole Kuiper1 Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The outcome indicator framework helps tobacco prevention and control programs (TCPs) plan and implement theory-driven evaluations of their efforts to reduce and prevent tobacco use. Tobacco use is the single-most preventable cause of morbidity and mortality in the United States. The implementation of public health best practices by comprehensive state TCPs has been shown to prevent the initiation of tobacco use, reduce tobacco use prevalence, and decrease tobacco-related health care expenditures. Achieving and sustaining program goals require TCPs to evaluate the effectiveness and impact of their programs. To guide evaluation efforts by TCPs, the Centers for Disease Control and Prevention's Office on Smoking and Health developed an outcome indicator framework that includes a high-level logic model and evidence-based outcome indicators for each tobacco prevention and control goal area. In this article, we describe how TCPs and other community organizations can use the outcome indicator framework in their evaluation efforts. We also discuss how the framework is used at the national level to unify tobacco prevention and control efforts across varying state contexts, identify promising practices, and expand the public health evidence base.

Indexed as

Centers for Disease Control and Prevention, U.S.Health EducationHealth Plan ImplementationHumansProgram EvaluationPublic Health PracticeSmoking CessationSmoking PreventionState Health Planning and Development AgenciesUnited Statesadolescentattitudeshealth knowledgepracticeprogram evaluationpublic health practicetobacco

Identifiers

PMID29566575
PMCPMC8106980

What OpenQuestion holds

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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.