Increasing Engagement in eHealth Interventions Using Personalization and Implementation Intentions

Burley, Camryn; Anderson, Darby; Brownlee, Amanda; Lafer, Georgie; Luong, Taylor; McGowan, Meaghan; Nguyen, Judy; Trotter, William T.; Wine, Halle; Baglione, Anna N.; Barnes, Laura E.

doi:10.1109/sieds49339.2020.9106640

Cited by 5 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( 46 ) concluded that higher attendance rates correlated with lower levels of depression symptoms and higher life satisfaction scores. This underlines the outcomes of previous research emphasizing the association between attendance, engagement, and adherence in such interventions ( 53 , 54 ).…”

Section: Discussionsupporting

confidence: 80%

Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials

Kocol,

Bäuerle,

Schadendorf

et al. 2024

Front. Psychiatry

View full text Add to dashboard Cite

IntroductionObesity and depression are inter-related health concerns, demanding a high level of treatment and costs in the health care system. The development of eHealth interventions that simultaneously address obesity and mental health can be supportive in this regard. However, evidence of the efficacy of eHealth interventions in the treatment of depression symptoms in individuals with obesity is lacking. The aim of this systematic literature review is to evaluate the efficacy of existing eHealth interventions for individuals with obesity that target depression symptoms.MethodsWe systematically searched electronic databases (Cochrane Library, PubMed, Scopus) to identify studies published in English between January 2016 and January 2023, that focused on eHealth interventions, targeting depression symptoms in individuals with obesity people. Exclusion criteria were study objectives that (1) focused specifically on one or more metabolic comorbidities of individuals with obesity, e.g., hypertension, hyperlipidemia, diabetes; (2) focused specifically on eating disorders comorbidities e.g., binge eating disorder, and (3) focused specifically on patients before or after bariatric surgery.ResultsThe database search identified 214 records. Six articles were included in this review. Sample sizes ranged from 70 to 1267 participants of ages 18-60 years. All included studies were randomized controlled trials. Two of the six included studies were web-based interventions guided either by medical doctors or psychologists. All interventions included video, printed materials, and interactive parts of which two studies integrated elements of Cognitive Behavioural Therapy and Social Cognitive Therapy. The findings showed that eHealth treatment services, supported and guided throughout the intervention had high acceptance and efficacy in the reduction of depression symptoms among individuals with obesity.ConclusionEHealth interventions that address and target both mental and physical health with interactive strategies calls for better efficacy in the reduction of depression symptoms. Future eHealth interventions that target depression symptoms in individuals with obesity should integrate digital strategies that address both mental and physical health through interactive modules.

show abstract

Section: Discussionsupporting

confidence: 80%

Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials

Kocol,

Bäuerle,

Schadendorf

et al. 2024

Front. Psychiatry

View full text Add to dashboard Cite

show abstract

“…Thus, completing the extended profile gave the HRS with collective intelligence more information to personalize the messages. These results add to the theory that higher personalization may lead to higher engagement, as shown by previous studies [431][432][433][434] .…”

Section: User Engagementsupporting

confidence: 87%

Health recommender systems for behavior change

Hors-Fraile

View full text Add to dashboard Cite

show abstract

“…In the context of application design, personalization usually refers to users being offered means to adapt or change how information is presented, both in terms of content and aesthetics, and how they can interact with the app. Burley et al (2020) showed that being able to adapt the application to one's individual style and preferences instills a sense of having control over the app and increases engagement and relevance.…”

Section: Personalizationmentioning

confidence: 99%

Gameful Design of an Application for Patients in Rehabilitation

Menychtas¹,

Galliakis²,

Pardos³

et al. 2022

Front. Comput. Sci.

View full text Add to dashboard Cite

The design process of any interactive application is an important part of its lifecycle, since it largely defines its structure, means of interaction with the users and its actual content. In the case of applications related to medical uses and self-help, it is even more important, given the aims of the application, the diversity of target users and the urgent need for increased retention. In this article, we present a gameful design process for a mobile application targeted toward patients in rehabilitation, implementing concepts related to increasing user rapport and motivation through gamification, and means to offer guidance and personalized services to improve user experience. Both gamification and personalization build on narrative concepts, by putting patients in the place of a “hero”, offering them the opportunity to overcome “challenges” and receive a clear view of their progress (a.k.a. a “hero's journey”), both in terms of physical and mental condition. Finally, we discuss measurable indicators used to evaluate the application in terms of the progress that patients showed, their motivation and interest, and degree of adherence to the exercise plans.

show abstract

Increasing Engagement in eHealth Interventions Using Personalization and Implementation Intentions

Cited by 5 publications

References 20 publications

Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials

Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials

Health recommender systems for behavior change

Gameful Design of an Application for Patients in Rehabilitation

Contact Info

Product

Resources

About