Evidence map›Paper›PMID 24073175›Full record

ArticleTranslational behavioral medicine2013

Electronic health records as a tool for recruitment of participants' clinical effectiveness research: lessons learned from tobacco cessation.

David Fraser, Bruce A Christiansen, Robert Adsit, Timothy B Baker, Michael C Fiore

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2013. 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.

  1. Electronically Monitored Nicotine Gum Use Before and After Smoking Lapses: Relationship With Lapse and Relapse.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
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  12. Challenges and opportunities using online portals to recruit diverse patients to behavioral trials.Journal of the American Medical Informatics Association : JAMIA · 2019
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  16. The 2016 Ferno Award Address: Three Things.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
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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.

David FraserCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, 1930 Monroe Street, Suite 200, Madison, WI 53711 USA.
Bruce A Christiansen
Robert Adsit
Timothy B Baker
Michael C Fiore

Funding

Methods CoreP50CA143188 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CURRY, SUSAN · 2009 to 2013
$10.5M
Training in Translational Tobacco ScienceK05CA139871 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BAKER, TIMOTHY B · 2008 to 2012
$850k
NCI NIH HHS K05 CA139871NCI NIH HHS P50 CA143188
6 · The paper itself

Abstract

Translating tobacco dependence treatments that are effective in research settings into real-world clinical settings remains challenging. Electronic health record (EHR) technology can facilitate this process. This paper describes the accomplishments and lessons learned from a translational team science (clinic/research) approach to the development of an EHR tool for participant recruitment and clinic engagement in tobacco cessation research. All team stakeholders-research, clinical, and IT-were engaged in the design and planning of the project. Results over the first 17 months of the study showed that over one half of all smokers, coming in for any type of clinic appointment, were offered participation in the study, a very high level of adherent use of the EHR. Study recruitment over this period was 1,071 individuals, over 12 % of smokers in the participating clinics.

Indexed as

Electronic health recordsRecruitmentTobacco cessation

Identifiers

PMID24073175
PMCPMC3771013

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.