scholarly journals User Characteristics of a Free Tobacco Cessation Smartphone App: An Observational Study (Preprint)

Author(s):  
Nick Fradkin ◽  
Susan M Zbikowski ◽  
Trevor Christensen
2021 ◽  
Author(s):  
Nick Fradkin ◽  
Susan M Zbikowski ◽  
Trevor Christensen

BACKGROUND Tobacco use continues to be the leading preventable cause of death, disease, and disability. Cessation options have been available direct-to-consumer and through employers, health plans, and publicly sponsored programs such as those offered by states. State-sponsored efforts have included tobacco control policies, public awareness campaigns, and tobacco quitlines. Washington state has been offering quitline services since 2000, and in 2015, the state began offering free access to a smartphone app to absorb excess quitline demand and reach more people with cessation services. Since most publicly funded tobacco cessation programs are designed to provide access to underserved communities and groups disproportionately impacted by tobacco use, effectiveness and reach are both important considerations for these public health interventions. This paper aims to add to this literature. OBJECTIVE To understand who used a free cessation app and the extent to which users represented at-risk and underrepresented populations. METHODS An observational study of 1,280 adult Washington state residents who registered for and activated the cessation app between October 1, 2018 and December 31, 2020. Demographic data were collected as part of sign-up, examined using standard descriptive measures, and assessed against state-level surveillance data for representativeness. RESULTS Participants were primarily non-Hispanic white (80.3%), identified as female (63.1%), were between ages 25-54 (76.1%), had at least some college education (68.4%), and reported a household income under $50,000 (70.3%). A minority of respondents were from rural counties (29.4%), identified as LGBQA (12.5%), were uninsured (12.2%), or were currently pregnant, planning pregnancy, or breastfeeding (6.7%). There was high representation of women, 35-54 year-olds, LGBQA individuals, and college graduates, as well as individuals with low household income, poor mental health, Medicaid insurance, and residences in rural counties. CONCLUSIONS A diverse population of tobacco users will use a free cessation app. Individuals who used the app in this study largely represent the demographic groups most at risk for cigarette smoking and associated premature disease and death. This may have implications for health equity.


2021 ◽  
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  

UNSTRUCTURED REMOVE


10.2196/20546 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e20546 ◽  
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  

Background Amid the COVID-19 pandemic, public health policies to curb the spread of SARS-CoV-2 and its associated disease, COVID-19, have resulted in significant alterations to daily routines (eg, work-from-home policies) that may have enabled longer sleep duration among the general population. Objective We aimed to examine changes in estimated sleep duration in 5 major metropolitan areas before and after the start of the COVID-19 pandemic. Methods We conducted a prospective observational study using estimated sleep duration data obtained from a smartphone app. The data were obtained from regular users of the smartphone app before and after the World Health Organization declared COVID-19 a pandemic in March 2020. We compared within-subject estimated sleep duration before and during the COVID-19 pandemic using generalized linear mixed models. Results Among the 2,871,037 observations, 957,022 (33.3%) were from users in London; 549,151 (19.1%) were from users in Los Angeles; 846,527 (29.5%) were from users in New York City; 251,113 (8.7%) were from users in Seoul; and 267,224 (9.3%) were from users in Stockholm. The average age of the users in the sample was 35 years (SE 11 years). Prior to the COVID-19 pandemic, people residing in Seoul had the shortest estimated sleep duration (mean 6 hours 28 minutes, SE 11.6 minutes) and those residing in Stockholm had the longest estimated sleep duration (mean 7 hours 34 minutes, SE 9.9 minutes). The onset of the COVID-19 pandemic was associated with a 13.7 minute increase in estimated sleep duration when comparing March 2019 and March 2020 (95% CI 13.1-14.3, P<.001) and an increase of 22.3 minutes when comparing April 2019 and April 2020 (95% CI 21.5-23.1, P<.001). Conclusions The average estimated sleep duration increased sharply in the months after the onset of the COVID-19 pandemic. This finding suggests that the implementation of COVID-19 mitigation strategies has provided people worldwide with increased opportunities to sleep, which may enhance the response of the immune system to viral pathogens.


2014 ◽  
Vol 22 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Nasser F BinDhim ◽  
Ahmed M Shaman ◽  
Lyndal Trevena ◽  
Mada H Basyouni ◽  
Lisa G Pont ◽  
...  

Abstract Background and objective Smartphone applications (apps) have the potential to be valuable self-help interventions for depression screening. However, information about their feasibility and effectiveness and the characteristics of app users is limited. The aim of this study is to explore the uptake, utilization, and characteristics of voluntary users of an app for depression screening. Methods This was a cross-sectional study of a free depression screening smartphone app that contains the demographics, patient health questionnaire (PHQ-9), brief anxiety test, personalized recommendation based on the participant's results, and links to depression-relevant websites. The free app was released globally via Apple's App Store. Participants aged 18 and older downloaded the study app and were recruited passively between September 2012 and January 2013. Findings 8241 participants from 66 countries had downloaded the app, with a response rate of 73.9%. While one quarter of the participants had a previous diagnosis of depression, the prevalence of participants with a higher risk of depression was 82.5% and 66.8% at PHQ-9 cut-off 11 and cut-off 15, respectively. Many of the participants had one or more physical comorbid conditions and suicidal ideation. The cut-off 11 (OR: 1.4; 95% CI 1.2 to 1.6), previous depression diagnosis (OR: 1.3; 95% CI1.2 to 1.5), and postgraduate educational level (OR: 1.2; 95% CI 1.0 to 1.5) were associated with completing the PHQ-9 questionnaire more than once. Conclusions Smartphone apps can be used to deliver a screening tool for depression across a large number of countries. Apps have the potential to play a significant role in disease screening, self-management, monitoring, and health education, particularly among younger adults.


10.2196/28057 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e28057
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  


2016 ◽  
Vol 31 (10) ◽  
pp. 1134-1140 ◽  
Author(s):  
Haiden A. Huskamp ◽  
Shelly F. Greenfield ◽  
Elizabeth A. Stuart ◽  
Julie M. Donohue ◽  
Kenneth Duckworth ◽  
...  

2017 ◽  
Vol 7 (4) ◽  
pp. 845-853 ◽  
Author(s):  
Claire Garnett ◽  
David Crane ◽  
Robert West ◽  
Susan Michie ◽  
Jamie Brown ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document