Evidence map›Paper›PMID 38848557›Full record

ArticleJMIR formative research2024

Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial.

Clayton Ulm, Sixia Chen, Brianna Fleshman, Lizbeth Benson, Darla E Kendzor, Summer Frank-Pearce, Jordan M Neil, Damon Vidrine, Michael S Businelle, Irene De La Torre

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03405129 (Project Phoenix), which is not on this 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.

NCT03405129 nacompletednot on this map

Project Phoenix: Pilot Intervention for Smokers Who Are Not Ready to Quit Smoking

TypeinterventionalSponsorUniversity of OklahomaRan2018 to 2022Enrolled152ConditionsSmoking Cessation, MotivationArmsPhoenix, NRT order button, Factoid
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

5 · Who and what money

Authors and funding

10 authors.

Clayton UlmDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-4564-1138
Sixia ChenDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0001-5082-281X
Brianna FleshmanTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0009-0008-5550-2012
Lizbeth BensonTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0001-9895-5283
Darla E KendzorTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-7273-1916
Summer Frank-PearceTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0003-0779-4926
Jordan M NeilTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0001-5769-4961
Damon VidrineDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, United States.ORCID 0000-0002-8711-796X
Michael S BusinelleTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-9038-2238
Irene De La TorreTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0001-5993-1959

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Janis E Campbell · 2013 to 2026
$68.2M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
NCI NIH HHS P30 CA225520NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

backgroundEfficacy of smartphone-based interventions depends on intervention content quality and level of exposure to that content. Smartphone-based survey completion rates tend to decline over time; however, few studies have identified variables that predict this decline over longer-term interventions (eg, 26 weeks).

objectiveThis study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial.

methodsThis study examined data from a 3-group pilot randomized controlled trial of adults who smoke (N=152) and were not ready to quit smoking within the next 30 days. For 182 days, two intervention groups received smartphone-based morning and evening messages based on current readiness to quit smoking. The control group received 2 daily messages unrelated to smoking. All participants were prompted to complete 26 weekly smartphone-based surveys that assessed smoking behavior, quit attempts, and readiness to quit. Compliance was operationalized as percentages of weekly surveys completed and daily messages viewed. Linear regression and mixed-effects models were used to identify predictors (eg, intervention group, age, and sex) of weekly survey completion and daily message viewing and decline in compliance over time.

resultsThe sample (mean age 50, SD 12.5, range 19-75 years; mean years of education 13.3, SD 1.6, range 10-20 years) was 67.8% (n=103) female, 74.3% (n=113) White, 77% (n=117) urban, and 52.6% (n=80) unemployed, and 61.2% (n=93) had mental health diagnoses. On average, participants completed 18.3 (71.8%) out of 25.5 prompted weekly surveys and viewed 207.3 (60.6%) out of 345.1 presented messages (31,503/52,460 total). Age was positively associated with overall weekly survey completion (P=.003) and daily message viewing (P=.02). Mixed-effects models indicated a decline in survey completion from 77% (114/148) in the first week of the intervention to 56% (84/150) in the last week of the intervention (P<.001), which was significantly moderated by age, sex, ethnicity, municipality (ie, rural/urban), and employment status. Similarly, message viewing declined from 72.3% (1533/2120) in the first week of the intervention to 44.6% (868/1946) in the last week of the intervention (P<.001). This decline in message viewing was significantly moderated by age, sex, municipality, employment status, and education.

conclusionsThis study demonstrated the feasibility of a 26-week smartphone-based smoking cessation intervention. Study results identified subgroups that displayed accelerated rates in the decline of survey completion and message viewing. Future research should identify ways to maintain high levels of interaction with mobile health interventions that span long intervention periods, especially among subgroups that have demonstrated declining rates of intervention engagement over time.

trial registrationClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

Indexed as

adult smokersageefficacyengagementintervention engagementjust-in-time adaptive interventionlinear regressionmessagingmobile healthphase-based modelpilot randomized controlled trialsmartphonesmokersmokerssmokingsmoking cessationsurveysurvey compliancetailored messaging

Identifiers

PMID38848557
PMCPMC11193076

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.