Accepted for/Published in: JMIR Formative Research
Date Submitted: Jan 2, 2024
Open Peer Review Period: Jan 10, 2024 - Mar 6, 2024
Date Accepted: Apr 29, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Factors associated with prompted smartphone-based survey completion and message viewing in smokers initially unready to quit
ABSTRACT
Background:
Efficacy of smartphone-based interventions depends on intervention content quality and level of exposure to 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 (e.g., 26 weeks). The objective of the study is to assess the predictors of survey completion and message viewing over time within a 26-week smoking cessation trial. This study examined data from a three-group pilot randomized controlled trial of adult smokers (N=152) who were unready 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 two daily messages unrelated to smoking. All participants were prompted to complete 26 weekly smartphone-based surveys. Compliance was operationalized as percentages of weekly surveys completed and daily messages viewed. Linear regression and mixed-effects models were used to identify predictors (e.g., intervention group, age, sex) of weekly survey completion and daily message viewing and decline in compliance over time. Participants (Mage=50) were 67.8% female, 74.3% white, 77% urban, and 52.6% unemployed. Age was positively associated with overall weekly survey completion (p=0.003) and daily message viewing (p=0.018). Mixed-effects models indicated a decline in survey completion across time (p<0.0001), which was significantly moderated by age, sex, ethnicity, municipality (i.e., rural/urban), and employment status. Similarly, message viewing declined across time (p<0.0001), and was significantly moderated by age, sex, municipality, employment status, and education. Future research should identify ways to maintain high levels of interaction with mHealth interventions that span long intervention periods, especially among subgroups with lower rates of intervention engagement.
Objective:
The objective of the study is to assess the predictors of survey completion and message viewing over time within a 26-week smoking cessation trial.
Methods:
This study examined data from a three-group pilot randomized controlled trial of adult smokers (N=152) who were unready 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 two daily messages unrelated to smoking. All participants were prompted to complete 26 weekly smartphone-based surveys. Compliance was operationalized as percentages of weekly surveys completed and daily messages viewed. Linear regression and mixed-effects models were used to identify predictors (e.g., intervention group, age, sex) of weekly survey completion and daily message viewing and decline in compliance over time.
Results:
Participants (Mage=50) were 67.8% female, 74.3% white, 77% urban, and 52.6% unemployed. Age was positively associated with overall weekly survey completion (p=0.003) and daily message viewing (p=0.018). Mixed-effects models indicated a decline in survey completion across time (p<0.0001), which was significantly moderated by age, sex, ethnicity, municipality (i.e., rural/urban), and employment status. Similarly, message viewing declined across time (p<0.0001), and was significantly moderated by age, sex, municipality, employment status, and education.
Conclusions:
Future research should identify ways to maintain high levels of interaction with mHealth interventions that span long intervention periods, especially among subgroups with lower rates of intervention engagement.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.