Grant Details
Grant Number: |
1R21CA241842-01A1 Interpret this number |
Primary Investigator: |
Dahne, Jennifer |
Organization: |
Medical University Of South Carolina |
Project Title: |
Remote Methods to Biochemically Verify Smoking Status |
Fiscal Year: |
2020 |
Abstract
ABSTRACT
NCI has nearly 50 ongoing grants to develop and test remotely delivered, technology-based smoking cessation
interventions (e.g., apps, websites, text messaging). Remote cessation trials face one key methodological
limitation that undermines rigor: the need for biochemical verification of smoking status to accurately assess
intervention efficacy. Funding agencies are now strongly encouraging, if not requiring, biochemical verification
of smoking in all cessation trials regardless of whether the intervention is delivered in-person or remotely.
Incorporation of biochemical indicators of smoking status is critically important as inaccurate assessment of
smoking status may lead to dissemination of ineffective treatments and stagnant rates of population-level
cessation. Remote collection of expired-air carbon monoxide (CO) is a non-invasive approach that can be used
to verify smoking status. Remote CO offers the potential to inform episodic assessment of smoking (e.g., at 1,
3, or 6 months) as is typically done for clinical trial endpoints. Beyond clinical trials, remote CO offers the potential
to enhance human-lab methods by providing ecological granular assessment of day-to-day fluctuations in
smoking. However, extant trials that have implemented remote methods to assess CO have utilized CO monitors
that would be cost-prohibitive ($700-$1,200) to include in large-scale remote trials. Smartphone-enabled CO
monitors have recently become available and could dramatically improve the feasibility of remote CO collection.
Such monitors are available at substantially lower cost (~$72) than traditional monitors, can be used with any
iOS- or Android-compatible mobile device, and detect continuous CO concentrations of 0-100 parts per million.
Although these new monitors expand the methodologic potential to capture CO remotely, several issues must
first be resolved. Most critically, CO collection via smartphone-enabled monitor must be: 1) integrated in real-
time with other research outcomes, 2) valid when compared to gold-standard approaches for biochemical
verification, and 3) feasible as applied both to granular and episodic data collection. We herein propose to
develop and refine an integrated system through which a smartphone-enabled CO monitor (iCO™ Smokerlyzer)
is paired with secure online data capture via REDCap. This system will 1) initiate an iCO™ reading, 2) video
record the participant providing a CO reading, 3) translate the iCO™’s raw signal into a CO level, and 4) save
the CO level to a REDCap database integrated with other assessments. Subsequently, we will examine: a)
validity of the remote CO data capture system as compared to gold-standard methods for biochemical verification
and b) compliance with remote CO monitoring as applied both to episodic and granular data collection. This
project will develop and validate a tool that could fill the gap for a low-cost, feasible method to biochemically
verify smoking status within the context of NIH’s growing portfolio of remote and/or technology-enhanced
cessation treatments and has clear potential to improve the rigor of remote assessment of smoking behavior.
Publications
Remote Carbon Monoxide Capture via REDCap: Evaluation of an Integrated Mobile Application.
Authors: Dahne J.
, Wahlquist A.E.
, McClure E.A.
, Natale N.
, Carpenter M.J.
, Tomko R.L.
.
Source: Nicotine & Tobacco Research : Official Journal Of The Society For Research On Nicotine And Tobacco, 2024-05-22 00:00:00.0; 26(6), p. 696-703.
PMID: 37983048
Related Citations
Proactive Electronic Visits for Smoking Cessation and Chronic Obstructive Pulmonary Disease Screening in Primary Care: Randomized Controlled Trial of Feasibility, Acceptability, and Efficacy.
Authors: Dahne J.
, Player M.S.
, Strange C.
, Carpenter M.J.
, Ford D.W.
, King K.
, Miller S.
, Kruis R.
, Hawes E.
, Hidalgo J.E.
, et al.
.
Source: Journal Of Medical Internet Research, 2022-08-30 00:00:00.0; 24(8), p. e38663.
EPub date: 2022-08-30 00:00:00.0.
PMID: 36040766
Related Citations
Recognizing and Preventing Participant Deception in Online Nicotine and Tobacco Research Studies: Suggested Tactics and a Call to Action.
Authors: Heffner J.L.
, Watson N.L.
, Dahne J.
, Croghan I.
, Kelly M.M.
, McClure J.B.
, Bars M.
, Thrul J.
, Meier E.
.
Source: Nicotine & Tobacco Research : Official Journal Of The Society For Research On Nicotine And Tobacco, 2021-04-20 00:00:00.0; , .
EPub date: 2021-04-20 00:00:00.0.
PMID: 33876244
Related Citations
Mobile, Remote, and Individual Focused: Comparing Breath Carbon Monoxide Readings and Abstinence Between Smartphone-Enabled and Stand-Alone Monitors.
Authors: Tuck B.M.
, Karelitz J.L.
, Tomko R.L.
, Dahne J.
, Cato P.
, McClure E.A.
.
Source: Nicotine & Tobacco Research : Official Journal Of The Society For Research On Nicotine And Tobacco, 2021-03-19 00:00:00.0; 23(4), p. 741-747.
PMID: 33022057
Related Citations
Remote Methods for Conducting Tobacco-Focused Clinical Trials.
Authors: Dahne J.
, Tomko R.L.
, McClure E.A.
, Obeid J.S.
, Carpenter M.J.
.
Source: Nicotine & Tobacco Research : Official Journal Of The Society For Research On Nicotine And Tobacco, 2020-06-12 00:00:00.0; , .
EPub date: 2020-06-12 00:00:00.0.
PMID: 32531046
Related Citations