A Digital Sleep Restriction System for Insomnia Therapy Based on Sleep Window Shift Negotiation

Erten-Uyumaz, Begum; Overeem, Sebastiaan; Feijs, Loe; Rama, Mili Docampo; Hu, Jun

doi:10.1145/3197768.3201531

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Traditional, non-digital interventions to improve sleep quality are well-established and have been used to target specific problems, such as cognitive-behavioral therapy (CBT), relaxation and mindfulness therapy, stimulus control therapy, sleep hygiene education, and similar cognitive-behavioral interventions aiming to improve these areas ( 129 , 130 ). DHIs for sleep improvements, such as digital CBT and digital sleep restriction therapy, have demonstrated potential as effective e-health interventions, however, further refinement and investigations of these delivery methods are required ( 131 , 132 ).…”

Section: Discussionmentioning

confidence: 99%

What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review

Castro

Ribeiro-Alves

Oliveira

et al. 2022

Front. Public Health

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Background: Lifestyle Medicine (LM) aims to address six main behavioral domains: diet/nutrition, substance use (SU), physical activity (PA), social relationships, stress management, and sleep. Digital Health Interventions (DHIs) have been used to improve these domains. However, there is no consensus on how to measure lifestyle and its intermediate outcomes aside from measuring each behavior separately. We aimed to describe (1) the most frequent lifestyle domains addressed by DHIs, (2) the most frequent outcomes used to measure lifestyle changes, and (3) the most frequent DHI delivery methods.Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) Extension for Scoping Reviews. A literature search was conducted using MEDLINE, Cochrane Library, EMBASE, and Web of Science for publications since 2010. We included systematic reviews and meta-analyses of clinical trials using DHI to promote health, behavioral, or lifestyle change.Results: Overall, 954 records were identified, and 72 systematic reviews were included. Of those, 35 conducted meta-analyses, 58 addressed diet/nutrition, and 60 focused on PA. Only one systematic review evaluated all six lifestyle domains simultaneously; 1 systematic review evaluated five lifestyle domains; 5 systematic reviews evaluated 4 lifestyle domains; 14 systematic reviews evaluated 3 lifestyle domains; and the remaining 52 systematic reviews evaluated only one or two domains. The most frequently evaluated domains were diet/nutrition and PA. The most frequent DHI delivery methods were smartphone apps and websites.Discussion: The concept of lifestyle is still unclear and fragmented, making it hard to evaluate the complex interconnections of unhealthy behaviors, and their impact on health. Clarifying this concept, refining its operationalization, and defining the reporting guidelines should be considered as the current research priorities. DHIs have the potential to improve lifestyle at primary, secondary, and tertiary levels of prevention—but most of them are targeting clinical populations. Although important advances have been made to evaluate DHIs, some of their characteristics, such as the rate at which they become obsolete, will require innovative research designs to evaluate long-term outcomes in health.

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Section: Discussionmentioning

confidence: 99%

What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review

Castro

Ribeiro-Alves

Oliveira

et al. 2022

Front. Public Health

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“…We did not have access to the design process the apps. However, the researcher did have a first-person experience [ 38 , 39 , 40 , 41 ], which was helpful to recognize the design issues of the six apps reviewed. We are also a new commercially available dCBT-I platforms may have appeared afterwards this study is carried out.…”

Section: Discussionmentioning

confidence: 99%

A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement?

Uyumaz

Feijs

2021

IJERPH

Self Cite

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There are different ways to deliver Cognitive Behavioral Therapy for Insomnia (CBT-I), of which in-person (face to face) is the traditional delivery method. However, the scalability of in-person therapy is low. Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) is an alternative and there are tools on the market that are validated in clinical studies. In this paper, we provide a review of the existing evidence-based CBT-I apps and a summary of the published usability-oriented studies of these apps. The goal is to explore the range of interaction methods commonly applied in dCBT-I platforms, the potential impact for the users, and the design elements applied to achieve engagement. Six commercially available CBT-I apps tested by scientifically valid methods were accessed and reviewed. Commonalities were identified and categorized into interactive elements, CBT-I-related components, managerial features, and supportive motivational features. The dCBT-I apps were effectively assisting the users, and the type of interactions promoted engagement. The apps’ features were based on design principles from interactive product design, experience design, online social media, and serious gaming. This study contributes to the field by providing a critical summary of the existing dCBT-I apps that could guide future developers in the field to achieve a high engagement.

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Design and evaluation of a negotiation-based sleep scheduler app for insomnia treatment

Erten-Uyumaz

Ahuja

Vǎcǎreţu

et al. 2019

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare

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A Digital Sleep Restriction System for Insomnia Therapy Based on Sleep Window Shift Negotiation

Cited by 3 publications

References 8 publications

What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review

What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review

A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement?

Design and evaluation of a negotiation-based sleep scheduler app for insomnia treatment

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