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

adult smokers age efficacy engagement intervention engagement just-in-time adaptive intervention linear regression messaging mobile health phase-based model pilot randomized controlled trial smartphone smoker smokers smoking smoking cessation survey survey compliance tailored messaging

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 02 01 2024
accepted: 29 04 2024
revised: 04 04 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: epublish

Résumé

Efficacy 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). This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial. This 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. The 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. This 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. ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

Sections du résumé

BACKGROUND BACKGROUND
Efficacy 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).
OBJECTIVE OBJECTIVE
This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial.
METHODS METHODS
This 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.
RESULTS RESULTS
The 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.
CONCLUSIONS CONCLUSIONS
This 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 REGISTRATION BACKGROUND
ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

Identifiants

pubmed: 38848557
pii: v8i1e56003
doi: 10.2196/56003
doi:

Banques de données

ClinicalTrials.gov
['NCT03405129']

Types de publication

Journal Article

Langues

eng

Pagination

e56003

Informations de copyright

©Clayton Ulm, Sixia Chen, Brianna Fleshman, Lizbeth Benson, Darla E Kendzor, Summer Frank-Pearce, Jordan M Neil, Damon Vidrine, Michael S Businelle. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.06.2024.

Auteurs

Clayton Ulm (C)

Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.

Sixia Chen (S)

Department of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Brianna Fleshman (B)

TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.

Lizbeth Benson (L)

TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.

Darla E Kendzor (DE)

TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.
Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Summer Frank-Pearce (S)

TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.
Department of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Jordan M Neil (JM)

TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.
Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Damon Vidrine (D)

Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, United States.

Michael S Businelle (MS)

TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Heatlh Sciences Center, Oklahoma City, OK, United States.
Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Classifications MeSH