Evidence map›Paper›PMID 36040766›Full record

Trial reportJournal of medical Internet research2022

Proactive Electronic Visits for Smoking Cessation and Chronic Obstructive Pulmonary Disease Screening in Primary Care: Randomized Controlled Trial of Feasibility, Acceptability, and Efficacy.

Jennifer Dahne, Marty S Player, Charlie Strange, Matthew J Carpenter, Dee W Ford, Kathryn King, Sarah Miller, Ryan Kruis, Elizabeth Hawes, Johanna E Hidalgo and 1 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04155073 (Development and Testing of an Electronic Visit for COPD Early Detection and Smoking Cessation), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% 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.

NCT04155073 nacompletednot on this map

Development and Testing of an Electronic Visit for COPD Early Detection and Smoking Cessation

TypeinterventionalSponsorMedical University of South CarolinaRan2019 to 2021Enrolled125ConditionsPulmonary Disease, Chronic Obstructive, Cigarette Smoking, TelemedicineArmssmoking cessation, early COPD detection, electronic visit, Treatment As Usual
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

11 authors at 1 institution in 1 country.

Jennifer DahneDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-7297-9420
Marty S PlayerDepartment of Family Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-7623-5891
Charlie StrangeDivision of Pulmonary and Critical Care Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-8109-8067
Matthew J CarpenterDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-8909-1302
Dee W FordDivision of Pulmonary and Critical Care Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-3846-6848
Kathryn KingDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-5896-9450
Sarah MillerCollege of Nursing, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0003-4251-8126
Ryan KruisCenter for Telehealth, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-7069-1260
Elizabeth HawesDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0003-1454-4597
Johanna E HidalgoDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-2604-3741
Vanessa A DiazDepartment of Family Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-7088-859X
Medical University of South Carolina · US

Funding

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
Remote Methods to Biochemically Verify Smoking StatusR21CA241842 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2020 to 2021
$384k
NCI NIH HHS R21 CA241842NIDA NIH HHS K23 DA045766
6 · The paper itself

Abstract

backgroundMost smokers with chronic obstructive pulmonary disease (COPD) have not yet been diagnosed, a statistic that has remained unchanged for over two decades. A dual-focused telehealth intervention that promotes smoking cessation, while also facilitating COPD screening, could help address national priorities to improve the diagnosis, prevention, treatment, and management of COPD. The purpose of this study was to preliminarily evaluate an integrated asynchronous smoking cessation and COPD screening e-visit (electronic visit) that could be delivered proactively to adult smokers at risk for COPD, who are treated within primary care.

objectiveThe aims of this study were (1) to examine e-visit feasibility and acceptability, particularly as compared to in-lab diagnostic pulmonary function testing (PFT), and (2) to examine the efficacy of smoking cessation e-visits relative to treatment as usual (TAU), all within primary care.

methodsIn a randomized clinical trial, 125 primary care patients who smoke were randomized 2:1 to receive either proactive e-visits or TAU. Participants randomized to the e-visit condition were screened for COPD symptoms via the COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE). Those with scores ≥2 were invited to complete both home spirometry and in-lab PFTs, in addition to two smoking cessation e-visits. Smoking cessation e-visits assessed smoking history and motivation to quit and included completion of an algorithm to determine the best Food and Drug Administration-approved cessation medication to prescribe. Primary outcomes included measures related to (1) e-visit acceptability, feasibility, and treatment metrics; (2) smoking cessation outcomes (cessation medication use, 24-hour quit attempts, smoking reduction ≥50%, self-reported abstinence, and biochemically confirmed abstinence); and (3) COPD screening outcomes.

resultsOf 85 participants assigned to the e-visits, 64 (75.3%) were invited to complete home spirometry and in-lab PFTs based on CAPTURE. Among those eligible for spirometry, 76.6% (49/64) completed home spirometry, and 35.9% (23/64) completed in-lab PFTs. At 1 month, all cessation outcomes favored the e-visit, with a significant effect for cessation medication use (odds ratio [OR]=3.22). At 3 months, all cessation outcomes except for 24-hour quit attempts favored the e-visit, with significant effects for cessation medication use (OR=3.96) and smoking reduction (OR=3.09).

conclusionsA proactive, asynchronous e-visit for smoking cessation and COPD screening may offer a feasible, efficacious approach for broad interventions within primary care.

trial registrationClinicalTrials.gov NCT04155073; https://clinicaltrials.gov/ct2/show/NCT04155073.

Indexed as

Pulmonary Disease, Chronic ObstructiveSmoking CessationAdultElectronicsFeasibility StudiesHumansPrimary Health Careacceptabilitychronic obstructive pulmonary diseaseCOPDdiagnosisefficacyEHRelectronic health recordelectronic visitse-visitfeasibilityfunctioninterventionmanagementpatient portalpreventionpulmonaryscreeningsmoking cessationtelehealthtreatment

Identifiers

PMID36040766
PMCPMC9472044
OpenAlexW4293572472

What OpenQuestion holds

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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.