PDF(Pubmed)
Abstract：
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: This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial.
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: 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: 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.
BACKGROUND: ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.
OBJECTIVE: This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial.
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: 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: 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.
BACKGROUND: ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.
摘要：
背景：基于智能手机的干预的有效性取决于干预内容的质量和对该内容的暴露程度。基于智能手机的调查完成率往往会随着时间的推移而下降；然而，很少有研究确定了预测长期干预措施下降的变量(例如，26周）。
目的：本研究旨在确定在为期26周的戒烟试验中，随着时间的推移，调查完成和信息查看的预测因素。
方法：本研究检查了一项3组试点随机对照试验的数据，该试验涉及吸烟的成年人（N=152），并且在接下来的30天内没有准备好戒烟。182天,两个干预组收到了基于智能手机的早晚信息,这些信息基于戒烟准备情况.对照组每天收到2条与吸烟无关的信息。所有参与者都被提示每周完成26次基于智能手机的调查，以评估吸烟行为。退出尝试，准备退出。合规是以完成每周调查和查看每日信息的百分比来实施的。线性回归和混合效应模型用于识别预测因子(例如，干预组,年龄,和性别)每周调查完成情况和每日信息查看情况，并随着时间的推移而下降。
结果：样本（平均年龄50，标准差12.5，范围19-75岁；平均受教育年限13.3，标准差1.6，范围10-20岁）为67.8％（n=103）女性，74.3%(n=113)白色,77%(n=117)城市，52.6%(n=80)失业，61.2％（n=93）有心理健康诊断。平均而言,参与者完成了25.5次提示每周调查中的18.3次(71.8%),查看了345.1次提示信息中的207.3次(60.6%)(总共31,503/52,460次).年龄与每周总体调查完成（P=.003）和每日信息查看（P=.02）呈正相关。混合效应模型表明，调查完成率从干预第一周的77%(114/148)下降到干预最后一周的56%(84/150)(P<.001)。这明显受年龄的影响，性别,种族,自治市(即,农村/城市)，和就业状况。同样，信息查看从干预第一周的72.3%(1533/2120)下降至干预最后一周的44.6%(868/1946)(P<.001).这种信息观看的下降明显受到年龄的影响，性别,市政当局,就业状况,和教育。
结论：这项研究证明了基于智能手机的26周戒烟干预措施的可行性。研究结果确定了在调查完成和消息查看下降中显示加速率的亚组。未来的研究应该确定与跨越长干预期的移动健康干预措施保持高水平互动的方法。尤其是在显示干预参与率随时间下降的亚组中.
背景：ClinicalTrials.govNCT03405129;https://clinicaltrials.gov/ct2/show/NCT03405129。
目的：本研究旨在确定在为期26周的戒烟试验中，随着时间的推移，调查完成和信息查看的预测因素。
方法：本研究检查了一项3组试点随机对照试验的数据，该试验涉及吸烟的成年人（N=152），并且在接下来的30天内没有准备好戒烟。182天,两个干预组收到了基于智能手机的早晚信息,这些信息基于戒烟准备情况.对照组每天收到2条与吸烟无关的信息。所有参与者都被提示每周完成26次基于智能手机的调查，以评估吸烟行为。退出尝试，准备退出。合规是以完成每周调查和查看每日信息的百分比来实施的。线性回归和混合效应模型用于识别预测因子(例如，干预组,年龄,和性别)每周调查完成情况和每日信息查看情况，并随着时间的推移而下降。
结果：样本（平均年龄50，标准差12.5，范围19-75岁；平均受教育年限13.3，标准差1.6，范围10-20岁）为67.8％（n=103）女性，74.3%(n=113)白色,77%(n=117)城市，52.6%(n=80)失业，61.2％（n=93）有心理健康诊断。平均而言,参与者完成了25.5次提示每周调查中的18.3次(71.8%),查看了345.1次提示信息中的207.3次(60.6%)(总共31,503/52,460次).年龄与每周总体调查完成（P=.003）和每日信息查看（P=.02）呈正相关。混合效应模型表明，调查完成率从干预第一周的77%(114/148)下降到干预最后一周的56%(84/150)(P<.001)。这明显受年龄的影响，性别,种族,自治市(即,农村/城市)，和就业状况。同样，信息查看从干预第一周的72.3%(1533/2120)下降至干预最后一周的44.6%(868/1946)(P<.001).这种信息观看的下降明显受到年龄的影响，性别,市政当局,就业状况,和教育。
结论：这项研究证明了基于智能手机的26周戒烟干预措施的可行性。研究结果确定了在调查完成和消息查看下降中显示加速率的亚组。未来的研究应该确定与跨越长干预期的移动健康干预措施保持高水平互动的方法。尤其是在显示干预参与率随时间下降的亚组中.
背景：ClinicalTrials.govNCT03405129;https://clinicaltrials.gov/ct2/show/NCT03405129。
