Evidence map›Paper›PMID 42373937›Full record

ArticleInternal and emergency medicine2026

An automated program to connect adult current smokers seen in an emergency department to a stop smoking Quitline.

Avery Roberson, K Michael Cummings, Asia A Bliss, Vincent Talbot, Kathleen B Cartmell, Diann M Krywko, Benjamin A Toll

Abstract read
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In one paragraph

Article in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Avery RobersonDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Hollings Cancer Center, 86 Jonathan Lucas St 3rd Floor, Charleston, SC, USA.ORCID http://orcid.org/0000-0001-9343-6468
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Hollings Cancer Center, 86 Jonathan Lucas St 3rd Floor, Charleston, SC, USA. cummingk@musc.edu.
Asia A BlissDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Hollings Cancer Center, 86 Jonathan Lucas St 3rd Floor, Charleston, SC, USA.
Vincent TalbotTelASK Inc, Mount Pleasant, SC, USA.
Kathleen B CartmellDepartment of Public Health Sciences, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, USA.
Diann M KrywkoDepartment of Emergency Medicine, Medical University of South Carolina, Charleston, SC, USA.
Benjamin A TollDepartment of Public Health Sciences, Medical University of South Carolina, Hollings Cancer Center, Charleston, SC, USA.

Funding

NCI NIH HHS P30-CA138313
6 · The paper itself

Abstract

This study reports on an automated system to screen, refer, and deliver smoking cessation treatments to adult patients discharged home from two Medical University of South Carolina hospital emergency departments (EDs). The data for this study are based upon 165,443 ED visit records and 85,200 unique patients seen in two EDs between February 2021-May 2025. Adult current smokers discharged home who had a working phone number received an automated interactive voice recognition (IVR) call after 7 to 14 days to connect them to the South Carolina Tobacco Quitline (SCTQ). Five outcomes are described: (1) patients who screened positive for smoking; (2) eligibility for receiving automated IVR calls; (3) reached by phone; (4) interested in getting help to quit; and (5) accepting a referral to the South Carolina Tobacco Quitline (SCTQ). In addition, results of a follow-up survey of 50 patients, 25 who accepted the SCTQ referral and 25 who opted out, contacted four weeks after being seen in the ED was done to assess smoking status and connection to the SCTQ. Among unique patients, the prevalence of cigarette smoking was 17.6%, 89.0% were eligible for the IVR call, 24.0% were reached by phone, 83.6% of those reached expressed interest in receiving help to quit or continue cessation, and 21.8% accepted a referral to the SCTQ. The follow-up study revealed 90% of patients were still smoking approximately four weeks after being seen in the ED. Among patients referred to the SCTQ, 68% reported getting connected to the SCTQ with 10/17 (59%) receiving stop smoking medications. The automated tobacco screening and referral system provides a relatively low-cost strategy for referring current smokers to a stop smoking Quitline, although response to the IVR calls was low, as was acceptance of the referral by patients reached by phone.

Indexed as

Emergency departmentInteractive voice recognitionSmoking cessation

Identifiers

What OpenQuestion holds

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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.