Evidence map›Paper›PMID 33663698›Full record

ArticleAmerican journal of preventive medicine2021

Closed-Loop Electronic Referral From Primary Care Clinics to a State Tobacco Cessation Quitline: Effects Using Real-World Implementation Training.

Timothy B Baker, Kristin M Berg, Robert T Adsit, Amy D Skora, Matthew P Swedlund, Mark E Zehner, Danielle E McCarthy, Russell E Glasgow, Michael C Fiore

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  5. Representativeness of Electronic Referral to Smoking Treatment Trials in Adult Primary Care.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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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

9 authors.

Timothy B BakerCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin. Electronic address: tbb@ctri.wisc.edu.
Kristin M BergCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; University of Wisconsin Hospitals and Clinics, Madison, Wisconsin.
Robert T AdsitCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Amy D SkoraCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Matthew P SwedlundUniversity of Wisconsin Hospitals and Clinics, Madison, Wisconsin; Department of Family Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Mark E ZehnerCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Danielle E McCarthyCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; University of Wisconsin Hospitals and Clinics, Madison, Wisconsin.
Russell E GlasgowDepartment of Family Medicine, University of Colorado, Denver, Colorado.
Michael C FioreCenter for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; University of Wisconsin Hospitals and Clinics, Madison, Wisconsin.

Funding

Testing Relapse Recovery Intervention ComponentsP01CA180945 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI COOK, JESSICA MEGAN · 2014 to 2023
$23.0M
Transforming The Treatment of Tobacco Use in Health Care: Seizing The Potential of the Electronic Health Record to Deliver Comprehensive Chronic Care Treatment for SmokingR35CA197573 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MICHAEL C FIORE · 2015 to 2026
$10.7M
NCI NIH HHS P01 CA180945NCI NIH HHS R35 CA197573
6 · The paper itself

Abstract

introductionPatients who use tobacco are too rarely connected with tobacco use treatment during healthcare visits. Electronic health record enhancements may increase such referrals in primary care settings. This project used the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework to assess the implementation of a healthcare system change carried out in an externally valid manner (executed by the healthcare system).

methodsThe healthcare system used their standard, computer-based training approach to implement the electronic health record and clinic workflow changes for electronic referral in 30 primary care clinics that previously used faxed quitline referral. Electronic health record data captured rates of assessment of readiness to quit and quitline referral 4 months before implementation and 8 months (May-December 2017) after implementation. Data, analyzed from October 2018 to June 2019, also reflected intervention reach, adoption, and maintenance.

resultsFor reach and effectiveness, from before to after implementation for electronic referral, among adult patients who smoked, assessment of readiness to quit increased from 24.8% (2,126 of 8,569) to 93.2% (11,163 of 11,977), quitline referrals increased from 1.7% (143 of 8,569) to 11.3% (1,351 of 11,977), and 3.6% were connected with the quitline after implementation. For representativeness of reach, electronic referral rates were especially high for women, African Americans, and Medicaid patients. For adoption, 52.6% of staff who roomed at least 1 patient who smoked referred to the quitline. For maintenance, electronic referral rates fell by approximately 60% over 8 months but remained higher than pre-implementation rates.

conclusionsReal-world implementation of an electronic health record-based electronic referral system markedly increased readiness to quit assessment and quitline referral rates in primary care patients. Future research should focus on implementation methods that produce more consistent implementation and better maintenance of electronic referral.

Indexed as

Referral and ConsultationSmoking CessationTobacco Use CessationAdultAgedElectronicsFemaleHotlinesHumansMaleMedicarePrimary Health CareUnited States

Identifiers

PMID33663698
PMCPMC7939019

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.