Evidence map›Paper›PMID 27037655›Full record

ArticleEvaluation and program planning2016

Measuring infrastructure: A key step in program evaluation and planning.

Carol L Schmitt, LaShawn Glasgow, S Rene Lavinghouze, Patricia P Rieker, Erika Fulmer, Kelly McAleer, Todd Rogers

Open access · greenAbstract read
In one paragraph

Article in Evaluation and program planning, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Carol L SchmittRTI International, Public Health Research Division, USA. Electronic address: cschmitt@rti.org.
LaShawn GlasgowRTI International, Public Health Research Division, USA.
S Rene LavinghouzeCenters for Disease Control and Prevention, Office on Smoking and Health, USA.
Patricia P RiekerBoston University and Harvard Medical School, USA.
Erika FulmerCenters for Disease Control and Prevention, Office on Smoking and Health, USA.
Kelly McAleerRTI International, Public Health Research Division, USA.
Todd RogersRTI International, Public Health Research Division, USA.
RTI International · USCenters for Disease Control and Prevention · USBoston University · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

State tobacco prevention and control programs (TCPs) require a fully functioning infrastructure to respond effectively to the Surgeon General's call for accelerating the national reduction in tobacco use. The literature describes common elements of infrastructure; however, a lack of valid and reliable measures has made it difficult for program planners to monitor relevant infrastructure indicators and address observed deficiencies, or for evaluators to determine the association among infrastructure, program efforts, and program outcomes. The Component Model of Infrastructure (CMI) is a comprehensive, evidence-based framework that facilitates TCP program planning efforts to develop and maintain their infrastructure. Measures of CMI components were needed to evaluate the model's utility and predictive capability for assessing infrastructure. This paper describes the development of CMI measures and results of a pilot test with nine state TCP managers. Pilot test findings indicate that the tool has good face validity and is clear and easy to follow. The CMI tool yields data that can enhance public health efforts in a funding-constrained environment and provides insight into program sustainability. Ultimately, the CMI measurement tool could facilitate better evaluation and program planning across public health programs.

Indexed as

Health PlanningHealth PromotionHumansModels, OrganizationalProgram EvaluationPublic Health AdministrationSmokingSmoking PreventionState GovernmentUnited StatesInfrastructureInfrastructure measurementProgram evaluationProgram sustainabilityPublic health

Identifiers

PMID27037655
PMCPMC4915728
OpenAlexW2318616718

What OpenQuestion holds

Textmetadata
LicenceTDM
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.