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Open AccessJournal ArticleDOI

Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments.

TLDR
Mobile technology-based EMI can be effectively implemented as interventions for a variety of health behaviours and psychological and physical symptoms and future research should integrate the assessment and intervention capabilities of mobile technology to create dynamically and individually tailored EMI that are ecologically sensitive.
Abstract
Purpose Psychosocial and health behaviour treatments and therapies can be extended beyond traditional research or clinical settings by using mobile technology to deliver interventions to individuals as they go about their daily lives. These ecological momentary interventions (EMIs) are treatments that are provided to people during their everyday lives (i.e. in real time) and in natural settings (i.e. real world). The goal of the present review is to synthesize and critique mobile technology-based EMI aimed at improving health behaviours and psychological and physical symptoms. Methods Twenty-seven interventions using palmtop computers or mobile phones to deliver ambulatory treatment for smoking cessation, weight loss, anxiety, diabetes management, eating disorders, alcohol use, and healthy eating and physical activity were identified. Results There is evidence that EMI can be successfully delivered, are accepted by patients, and are efficacious for treating a variety of health behaviours and physical and psychological symptoms. Limitations of the existing literature were identified and recommendations and considerations for research design, sample characteristics, measurement, statistical analyses, and clinical implementation are discussed. Conclusions Mobile technology-based EMI can be effectively implemented as interventions for a variety of health behaviours and psychological and physical symptoms. Future research should integrate the assessment and intervention capabilities of mobile technology to create dynamically and individually tailored EMI that are ecologically sensitive.

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Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

TL;DR: It is critical that researchers develop sophisticated and nuanced health behavior theories capable of guiding the construction of JITAIs and particular attention has to be given to better understanding the implications of providing timely and ecologically sound support for intervention adherence and retention.
Journal ArticleDOI

Health behavior models in the age of mobile interventions: are our theories up to the task?

TL;DR: Current theories appear inadequate to inform mobile intervention development as these interventions become more interactive and adaptive, and Dynamic feedback system theories of health behavior can be developed utilizing longitudinal data from mobile devices and control systems engineering models.
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The Common-Sense Model of Self-Regulation (CSM): a dynamic framework for understanding illness self-management.

TL;DR: Suggestions for research advances that can more fully utilize dynamic aspects of the Common-Sense Model of Self-Regulation are provided and have the potential to further advance the CSM’s contribution to medical practice and patients’ self-management of illness.
Journal ArticleDOI

Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study

TL;DR: This mHealth diabetes app with the use of gamification incentives showed an improvement in the frequency of blood glucose monitoring in adolescents with type 1 diabetes.
References
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Journal ArticleDOI

Ecological Momentary Assessment

TL;DR: Ecological momentary assessment holds unique promise to advance the science and practice of clinical psychology by shedding light on the dynamics of behavior in real-world settings.
Journal ArticleDOI

Validity and reliability of the Experience-Sampling Method.

TL;DR: The Experience Sampling Method (ESM) as discussed by the authors is an attempt to provide a valid instrument to describe variations in self-reports of mental processes, which can be used to obtain empirical data on the following types of variables: (a) frequency and patterning of daily activity, social interaction, and changes in location; (b) frequency, intensity, and patterns of psychological states, i.e., emotional, cognitive, and conative dimensions of experience; (c) frequency of thoughts, including quality and intensity of thought disturbance.
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Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses

TL;DR: The Experience Sampling (ESM) technique as discussed by the authors is a method in which recording of feelings and activities is done on-line at the moment, either at randomly selected moments or at predetermined times.
Journal ArticleDOI

One size does not fit all: the case for tailoring print materials.

TL;DR: The purpose of this article is to distinguish between tailored print communication and other common communication-based approaches to health education and behavior change, and present a theoretical and public health rationale for tailoring health information.
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