Evidence map›Paper›PMID 38030991›Full record

ArticleBMC primary care2023

Rationale, design, and protocol for a hybrid type 1 effectiveness-implementation trial of a proactive smoking cessation electronic visit for scalable delivery via primary care: the E-STOP trial.

Margaret C Fahey, Amy E Wahlquist, Vanessa A Diaz, Marty S Player, Noelle Natale, Katherine R Sterba, Brian K Chen, Eric D A Hermes, Mathew J Carpenter, Jennifer Dahne

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05493254 (Hybrid Type 1 Effectiveness-Implementation Trial of a Proactive Smoking Cessation Electronic Visit for Scalable Delivery Via Primary Care), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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.

NCT05493254 narecruitingnot on this map

Hybrid Type 1 Effectiveness-Implementation Trial of a Proactive Smoking Cessation Electronic Visit for Scalable Delivery Via Primary Care

TypeinterventionalSponsorMedical University of South CarolinaRan2022 to 2026Enrolled672ConditionsSmoking CessationArmsSmoking cessation e-visit, Treatment As Usual
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Margaret C FaheyDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, MSC 955, 86 Jonathan Lucas Street, Charleston, SC, 29425, USA.
Amy E WahlquistCenter for Rural Health Research, East Tennessee State University, Johnson City, TN, USA.
Vanessa A DiazDepartment of Family Medicine, Medical University of South Carolina, Charleston, SC, USA.
Marty S PlayerDepartment of Family Medicine, Medical University of South Carolina, Charleston, SC, USA.
Noelle NataleDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, MSC 955, 86 Jonathan Lucas Street, Charleston, SC, 29425, USA.
Katherine R SterbaDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Brian K ChenArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Eric D A HermesDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Mathew J CarpenterDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, MSC 955, 86 Jonathan Lucas Street, Charleston, SC, 29425, USA.
Jennifer DahneDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, MSC 955, 86 Jonathan Lucas Street, Charleston, SC, 29425, USA. dahne@musc.edu.

Funding

DRUG ABUSE TRAINING PROGRAMT32DA007288 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Christopher W Cowan, Rachel Penrod-Martin · 1991 to 2026
$11.8M
Hybrid Type 1 Effectiveness-Implementation Trial of a Proactive Smoking Cessation Electronic Visit for Scalable Delivery via Primary CareR01CA258669 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Jennifer Renee Dahne · 2022 to 2026
$3.0M
Development and Testing of a Depression-Specific Behavioral Activation Mobile App Paired with Nicotine Replacement Therapy Sampling for Smoking Cessation Treatment Via Primary CareK23DA045766 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2018 to 2022
$1.0M
NCI NIH HHS R01 CA258669NCI NIH HHS R01CA258669NIDA NIH HHS K23 DA045766NIDA NIH HHS K23DA045766NIDA NIH HHS T32 DA007288NIDA NIH HHS T32DA007288
6 · The paper itself

Abstract

backgroundCigarette smoking remains the leading cause of preventable disease and death in the United States. Primary care offers an ideal setting to reach adults who smoke cigarettes and improve uptake of evidence-based cessation treatment. Although U.S. Preventive Services Task Force Guidelines recommend the 5As model (Ask, Advise, Assess, Assist, Arrange) in primary care, there are many barriers to its implementation. Automated, comprehensive, and proactive tools are needed to overcome barriers. Our team developed and preliminarily evaluated a proactive electronic visit (e-visit) delivered via the Electronic Health Record patient portal to facilitate evidence-based smoking cessation treatment uptake in primary care, with promising initial feasibility and efficacy. This paper describes the rationale, design, and protocol for an ongoing Hybrid Type I effectiveness-implementation trial that will simultaneously assess effectiveness of the e-visit intervention for smoking cessation as well as implementation potential across diverse primary care settings.

methodsThe primary aim of this remote five-year study is to examine the effectiveness of the e-visit intervention vs. treatment as usual (TAU) for smoking cessation via a clinic-randomized clinical trial. Adults who smoke cigarettes are recruited across 18 primary care clinics. Clinics are stratified based on their number of primary care providers and randomized 2:1 to either e-visit or TAU. An initial baseline e-visit gathers information about patient smoking history and motivation to quit, and a clinical decision support algorithm determines the best evidence-based cessation treatment to prescribe. E-visit recommendations are evaluated by a patient's own provider, and a one-month follow-up e-visit assesses cessation progress. Main outcomes include: (1) cessation treatment utilization (medication, psychosocial cessation counseling), (2) reduction in cigarettes per day, and (3) biochemically verified 7-day point prevalence abstinence (PPA) at six-months. We hypothesize that patients randomized to the e-visit condition will have better cessation outcomes (vs. TAU). A secondary aim evaluates e-visit implementation potential at patient, provider, and organizational levels using a mixed-methods approach. Implementation outcomes include acceptability, adoption, fidelity, implementation cost, penetration, and sustainability. DISCUSSION: This asynchronous, proactive e-visit intervention could provide substantial benefits for patients, providers, and primary care practices and has potential to widely improve reach of evidence-based cessation treatment.

trial registrationNCT05493254.

Indexed as

Cigarette SmokingSmoking CessationAdultCounselingHumansNicotianaPrimary Health CareRandomized Controlled Trials as TopicUnited StatesElectronic health recordsElectronic visit (e-visit)Primary careSmoking cessation

Identifiers

PMID38030991
PMCPMC10685464

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Registered trials

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.