Hannah Thorne, Rochelle M Sophocleous, Madeline Sprajcer, Alexandra E Shriane, Mitch J Duncan, Sally A Ferguson, Corneel Vandelanotte, Tracy Kolbe-Alexander, Charlotte C Gupta, Gabrielle Rigney, Matthew Thomas, Cassie J Hilditch, Benjamin Peterson, Grace E Vincent
{"title":"利用RE-AIM框架研究基于app的倒班工人睡眠干预的可行性","authors":"Hannah Thorne, Rochelle M Sophocleous, Madeline Sprajcer, Alexandra E Shriane, Mitch J Duncan, Sally A Ferguson, Corneel Vandelanotte, Tracy Kolbe-Alexander, Charlotte C Gupta, Gabrielle Rigney, Matthew Thomas, Cassie J Hilditch, Benjamin Peterson, Grace E Vincent","doi":"10.1080/15402002.2025.2476687","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study assessed the feasibility of Sleepfit, an app-based sleep intervention for shiftworkers, to evaluate participant reach, engagement, and interaction.</p><p><strong>Methods: </strong>The RE-AIM framework guided the feasibility assessment. Participants from various shiftwork industries (e.g. healthcare, mining) completed a 14-day trial of the Sleepfit app, alongside baseline and post-intervention surveys. Descriptive statistics were used to evaluate participant enjoyment and engagement, including daily app usage and the number of activities completed.</p><p><strong>Results: </strong>Among the 110 enrolled shiftworkers, 53 (48%) completed post-intervention assessments, and 34 (30.9%) adhered to the full study protocol. Of those who completed baseline surveys, 85.4% downloaded and used Sleepfit, engaging with an average of 17.3% of available activities, with shiftwork-specific modules like \"Coping with Shiftwork\" showing the highest engagement. Participants cited lack of time, inconvenience, and losing interest as reasons for discontinuing app use.</p><p><strong>Conclusions: </strong>This study indicates the potential feasibility of app-based interventions like Sleepfit to improve shiftworkers' sleep health through tailored, relevant content. Future studies should consider longer durations and larger samples, incorporating wearable technology to enhance data accuracy and assess sustained effects across varied shift schedules.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"1-16"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Examining the Feasibility of an App-based Sleep Intervention for Shiftworkers Using the RE-AIM Framework.\",\"authors\":\"Hannah Thorne, Rochelle M Sophocleous, Madeline Sprajcer, Alexandra E Shriane, Mitch J Duncan, Sally A Ferguson, Corneel Vandelanotte, Tracy Kolbe-Alexander, Charlotte C Gupta, Gabrielle Rigney, Matthew Thomas, Cassie J Hilditch, Benjamin Peterson, Grace E Vincent\",\"doi\":\"10.1080/15402002.2025.2476687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study assessed the feasibility of Sleepfit, an app-based sleep intervention for shiftworkers, to evaluate participant reach, engagement, and interaction.</p><p><strong>Methods: </strong>The RE-AIM framework guided the feasibility assessment. Participants from various shiftwork industries (e.g. healthcare, mining) completed a 14-day trial of the Sleepfit app, alongside baseline and post-intervention surveys. Descriptive statistics were used to evaluate participant enjoyment and engagement, including daily app usage and the number of activities completed.</p><p><strong>Results: </strong>Among the 110 enrolled shiftworkers, 53 (48%) completed post-intervention assessments, and 34 (30.9%) adhered to the full study protocol. Of those who completed baseline surveys, 85.4% downloaded and used Sleepfit, engaging with an average of 17.3% of available activities, with shiftwork-specific modules like \\\"Coping with Shiftwork\\\" showing the highest engagement. Participants cited lack of time, inconvenience, and losing interest as reasons for discontinuing app use.</p><p><strong>Conclusions: </strong>This study indicates the potential feasibility of app-based interventions like Sleepfit to improve shiftworkers' sleep health through tailored, relevant content. Future studies should consider longer durations and larger samples, incorporating wearable technology to enhance data accuracy and assess sustained effects across varied shift schedules.</p>\",\"PeriodicalId\":55393,\"journal\":{\"name\":\"Behavioral Sleep Medicine\",\"volume\":\" \",\"pages\":\"1-16\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral Sleep Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/15402002.2025.2476687\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral Sleep Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/15402002.2025.2476687","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Examining the Feasibility of an App-based Sleep Intervention for Shiftworkers Using the RE-AIM Framework.
Objectives: This study assessed the feasibility of Sleepfit, an app-based sleep intervention for shiftworkers, to evaluate participant reach, engagement, and interaction.
Methods: The RE-AIM framework guided the feasibility assessment. Participants from various shiftwork industries (e.g. healthcare, mining) completed a 14-day trial of the Sleepfit app, alongside baseline and post-intervention surveys. Descriptive statistics were used to evaluate participant enjoyment and engagement, including daily app usage and the number of activities completed.
Results: Among the 110 enrolled shiftworkers, 53 (48%) completed post-intervention assessments, and 34 (30.9%) adhered to the full study protocol. Of those who completed baseline surveys, 85.4% downloaded and used Sleepfit, engaging with an average of 17.3% of available activities, with shiftwork-specific modules like "Coping with Shiftwork" showing the highest engagement. Participants cited lack of time, inconvenience, and losing interest as reasons for discontinuing app use.
Conclusions: This study indicates the potential feasibility of app-based interventions like Sleepfit to improve shiftworkers' sleep health through tailored, relevant content. Future studies should consider longer durations and larger samples, incorporating wearable technology to enhance data accuracy and assess sustained effects across varied shift schedules.
期刊介绍：
Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.
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