scholarly journals App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content

2018 ◽  
Vol 7 (12) ◽  
pp. e185 ◽  
Author(s):  
Anouk Middelweerd ◽  
Saskia J te Velde ◽  
Julia S Mollee ◽  
Michel CA Klein ◽  
Johannes Brug
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Behavior Change ◽  
Descriptive Study ◽  
Evidence Based ◽  
Behavior Change Techniques ◽  
Model Based ◽  
Reasoning System ◽  
Combining Evidence

scholarly journals App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content (Preprint)

2016 ◽  
Author(s):  
Anouk Middelweerd ◽  
Saskia J te Velde ◽  
Julia S Mollee ◽  
Michel CA Klein ◽  
Johannes Brug
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Behavior Change ◽  
Activity Levels ◽  
Behavior Change Techniques ◽  
Stepwise Approach ◽  
Model Based ◽  
Reasoning System ◽  
Physical Activity Levels ◽  
Context Specific

BACKGROUND The Active2Gether intervention is an app-based intervention designed to help and encourage young adults to become and remain physically active by means of personalized, real-time activity tracking and context-specific feedback. OBJECTIVE The objective of our study was to describe the development and content of the Active2Gether intervention for physical activity promotion. METHODS A systematic and stepwise approach was used to develop the Active2Gether intervention. This included formulating objectives and a theoretical framework, selecting behavior change techniques, specifying the tailoring, pilot testing, and describing an evaluation protocol. RESULTS The development of the Active2Gether intervention comprised seven steps: analyzing the (health) problem, developing a program framework, writing (tailored) messages, developing tailoring assessments, developing the Active2Gether intervention, pilot testing, and testing and evaluating the intervention. The primary objective of the intervention was to increase the total time spent in moderate-vigorous physical activity for those who do not meet the Dutch guideline, maintain physical activity levels of those who meet the guideline, or further increase physical activity levels if they so indicated. The theoretical framework is informed by the social cognitive theory, and insights from other theories and evidence were added for specific topics. Development of the intervention content and communication channel resulted in the development of an app that provides highly tailored coaching messages that are framed in an autonomy-supportive style. These coaching messages include behavior change techniques aiming to address relevant behavioral determinants (eg, self-efficacy and outcome expectations) and are partly context specific. A model-based reasoning engine has been developed to tailor the intervention with respect to the type of support provided by the app, send relevant and context-specific messages to the user, and tailor the graphs displayed in the app. For the input of the tailoring, different instruments and sensors are used, such as an activity monitor (Fitbit One), Web-based and mobile questionnaires, and the location services on the user’s mobile phone. CONCLUSIONS The systematic and stepwise approach resulted in an intervention that is based on theory and input from end users. The use of a model-based reasoning system to provide context-specific coaching messages goes beyond many existing eHealth and mHealth interventions.

Behavior Change Techniques in Physical Activity Interventions for Multiple Sclerosis

2021 ◽  
Author(s):  
Stephanie L. Silveira ◽  
Trinh Huynh ◽  
Ariel Kidwell ◽  
Dena Sadeghi-Bahmani ◽  
Robert W. Motl
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Behavior Change ◽  
Behavior Change Techniques ◽  
Physical Activity Interventions

scholarly journals Barriers and Facilitators That Influence Providers’ Ability to Educate, Monitor, and Treat Substance Use in First-Episode Psychosis Programs Using the Theoretical Domains Framework

2021 ◽  
pp. 104973232199344
Author(s):  
Oladunni Oluwoye ◽  
Elizabeth Fraser
Keyword(s):  
Substance Use ◽  
Behavior Change ◽  
Theoretical Domains Framework ◽  
First Episode Psychosis ◽  
Barriers And Facilitators ◽  
First Episode ◽  
Evidence Based ◽  
Behavior Change Techniques ◽  
Episode Psychosis ◽  
And Behavior

In this qualitative study, we explore providers’ experiences with addressing substance use among individuals with first-episode psychosis (FEP) enrolled in coordinated specialty care (CSC) programs. Three focus groups were conducted with 24 providers from CSC programs for FEP in Washington. Questions were focused on barriers and facilitators to addressing substance use using the Theoretical Domains Framework (TDF) as a guide. Thematic analysis was used to code all transcripts. Identified TDF domains were then mapped onto the COM-B (Capability, Opportunity, Motivation, Behavior) intervention functions and behavior change techniques. Seven theoretical domains were identified as the most relevant to addressing substance use: “Knowledge,” “Skills,” “Environmental Context and Resources,” “Social Influences,” “Social and Professional Role and Identity,” “Beliefs about Capabilities,” and “Reinforcement.” The use of the TDF provides a framework to explore barriers and facilitators for targeting substance use and suggestions for behavior change techniques when considering implementation of evidence-based strategies to enhance CSC models.

scholarly journals Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – An umbrella review

2020 ◽  
Author(s):  
Janis Fiedler ◽  
Tobias Eckert ◽  
Kathrin Wunsch ◽  
Alexander Woll
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Healthy Eating ◽  
Social Contexts ◽  
Just In Time ◽  
Umbrella Review ◽  
Behavior Change Techniques ◽  
Adaptive Interventions ◽  
The Impact

Abstract Background: Electronic (eHealth) and mobile (mHealth) health interventions can provide a large coverage, and are promising tools to change health behavior (i.e. physical activity, sedentary behavior and healthy eating). However, the determinants of intervention effectiveness in primary prevention has not been explored yet. Therefore, the objectives of this umbrella review were to evaluate intervention effectiveness, to explore the impact of pre-defined determinants of effectiveness (i.e. theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions), and to provide recommendations for future research and practice in the field of primary prevention delivered via e/mHealth technology.Methods: PubMed, Scopus, Web of Science and the Cochrane Library were searched for systematic reviews and meta-analyses (reviews) published between January 1990 and May 2020. Reviews reporting on e/mHealth behavior change interventions in physical activity, sedentary behavior and/or healthy eating for healthy subjects (i.e. subjects without physical or physiological morbidities which would influence the realization of behaviors targeted by the respective interventions) were included if they also investigated respective theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions. Included studies were ranked concerning their methodological quality and qualitatively synthesized.Results: The systematic search reveled eleven systematic reviews and meta-analyses of moderate quality. The majority of original research studies within the reviews found e/mHealth interventions to be effective, but the results showed a high heterogeneity concerning assessment methods and outcomes, making them difficult to compare. Whereas theoretical foundation and behavior change techniques were suggested to be potential positive determinants of effective interventions, the impact of social context remains unclear. None of the reviews included just-in-time adaptive interventions.Conclusion: Findings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior. The general lack of precise reporting and comparison of confounding variables in reviews and original research studies as well as the limited number of reviews for each health behavior constrains the generalization and interpretation of results. Further research is needed on study-level to investigate effects of versatile determinants of e/mHealth efficiency, using a theoretical foundation and additionally explore the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions.Trial registration: The protocol for this umbrella review was a priori registered with PROSPERO: CRD42020147902.

scholarly journals The Effects of Gamification and Oral Self-Care on Oral Hygiene in Children: Systematic Search in App Stores and Evaluation of Apps (Preprint)

2019 ◽  
Author(s):  
Nino Fijačko ◽  
Lucija Gosak ◽  
Leona Cilar ◽  
Alenka Novšak ◽  
Ruth Masterson Creber ◽  
...  
Keyword(s):  
Public Health ◽  
Behavior Change ◽  
Oral Hygiene ◽  
Rating Scale ◽  
Self Care ◽  
Public Health Problem ◽  
Mobile App ◽  
Evidence Based ◽  
Behavior Change Techniques ◽  
Evidence Based Dentistry

BACKGROUND Poor oral hygiene is a great public health problem worldwide. Oral health care education is a public health priority as the maintenance of oral hygiene is integral to overall health. Maintaining optimal oral hygiene among children is challenging and can be supported by using relevant motivational approaches. OBJECTIVE The primary aim of this study was to identify mobile smartphone apps that include gamification features focused on motivating children to learn, perform, and maintain optimal oral hygiene. METHODS We searched six online app stores using four search terms (“oral hygiene game,” “oral hygiene gamification,” “oral hygiene brush game,” and “oral hygiene brush gamification”). We identified gamification features, identified whether apps were consistent with evidence-based dentistry, performed a quality appraisal with the Mobile App Rating Scale user version (uMARS), and quantified behavior scores (Behavior Change score, uMARS score, and Coventry, Aberdeen, and London-Refined [CALO-RE] score) using three different instruments that measure behavior change. RESULTS Of 612 potentially relevant apps included in the analysis, 17 met the inclusion criteria. On average, apps included 6.87 (SD 4.18) out of 31 possible gamification features. The most frequently used gamification features were time pressure (16/17, 94%), virtual characters (14/17, 82%), and fantasy (13/17, 76%). The most common oral hygiene evidence-based recommendation was brushing time (2-3 minutes), which was identified in 94% (16/17) of apps. The overall mean uMARS score for app quality was high (4.30, SD 0.36), with good mean subjective quality (3.79, SD 0.71) and perceived impact (3.58, SD 0.44). Sufficient behavior change techniques based on three taxonomies were detected in each app. CONCLUSIONS The majority of the analyzed oral hygiene apps included gamification features and behavior change techniques to perform and maintain oral hygiene in children. Overall, the apps contained some educational content consistent with evidence-based dentistry and high-quality background for oral self-care in children; however, there is scope for improvement.

scholarly journals Prostate Cancer Survivors’ and Caregivers’ Experiences Using Behavior Change Techniques during a Web-Based Self-Management and Physical Activity Program: A Qualitative Study

2020 ◽  
Vol 9 (10) ◽  
pp. 3244
Author(s):  
Laura Hallward ◽  
Keryn Chemtob ◽  
Sylvie D. Lambert ◽  
Lindsay R. Duncan
Keyword(s):  
Physical Activity ◽  
Prostate Cancer ◽  
Qualitative Study ◽  
Behavior Change ◽  
Management Program ◽  
Self Management ◽  
Positive Outcomes ◽  
Structured Interviews ◽  
Behavior Change Techniques ◽  
Web Based

Both men with prostate cancer and their caregivers report experiencing a number of challenges and health consequences, and require programs to help support the cancer patient–caregiver dyad. A tailored, web-based, psychosocial and physical activity self-management program (TEMPO), which implements behavior change techniques to help facilitate behavior change for the dyads was created and its acceptability was tested in a qualitative study. The purpose of this secondary analysis was to explore the dyads’ experiences using behavior change techniques to change behavior and address current needs and challenges while enrolled in TEMPO. Multiple semi-structured interviews were conducted with 19 prostate cancer-caregiver dyads over the course of the program, resulting in 46 transcripts that were analyzed using an inductive thematic analysis. Results revealed four main themes: (1) learning new behavior change techniques, (2) engaging with behavior change techniques learned in the past, (3) resisting full engagement with behavior change techniques, and (4) experiencing positive outcomes from using behavior change techniques. The dyads’ discussions of encountering behavior change techniques provided unique insight into the process of learning and implementing behavior change techniques through a web-based self-management program, and the positive outcomes that resulted from behavior changes.

scholarly journals Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – an umbrella review

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Janis Fiedler ◽  
Tobias Eckert ◽  
Kathrin Wunsch ◽  
Alexander Woll
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Healthy Eating ◽  
Social Contexts ◽  
Just In Time ◽  
Umbrella Review ◽  
Behavior Change Techniques ◽  
Adaptive Interventions ◽  
The Impact

Abstract Background Electronic (eHealth) and mobile (mHealth) health interventions can provide a large coverage, and are promising tools to change health behavior (i.e. physical activity, sedentary behavior and healthy eating). However, the determinants of intervention effectiveness in primary prevention has not been explored yet. Therefore, the objectives of this umbrella review were to evaluate intervention effectiveness, to explore the impact of pre-defined determinants of effectiveness (i.e. theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions), and to provide recommendations for future research and practice in the field of primary prevention delivered via e/mHealth technology. Methods PubMed, Scopus, Web of Science and the Cochrane Library were searched for systematic reviews and meta-analyses (reviews) published between January 1990 and May 2020. Reviews reporting on e/mHealth behavior change interventions in physical activity, sedentary behavior and/or healthy eating for healthy subjects (i.e. subjects without physical or physiological morbidities which would influence the realization of behaviors targeted by the respective interventions) were included if they also investigated respective theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions. Included studies were ranked concerning their methodological quality and qualitatively synthesized. Results The systematic search revealed 11 systematic reviews and meta-analyses of moderate quality. The majority of original research studies within the reviews found e/mHealth interventions to be effective, but the results showed a high heterogeneity concerning assessment methods and outcomes, making them difficult to compare. Whereas theoretical foundation and behavior change techniques were suggested to be potential positive determinants of effective interventions, the impact of social context remains unclear. None of the reviews included just-in-time adaptive interventions. Conclusion Findings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior. The general lack of precise reporting and comparison of confounding variables in reviews and original research studies as well as the limited number of reviews for each health behavior constrains the generalization and interpretation of results. Further research is needed on study-level to investigate effects of versatile determinants of e/mHealth efficiency, using a theoretical foundation and additionally explore the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions. Trial registration The protocol for this umbrella review was a priori registered with PROSPERO: CRD42020147902.

Behavior Change Techniques Used in Theory of Planned Behavior Physical Activity Interventions Among Older Adults: A Systematic Review

2019 ◽  
Vol 27 (5) ◽  
pp. 746-754 ◽  
Author(s):  
Valerie Senkowski ◽  
Clara Gannon ◽  
Paul Branscum
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Older Adults ◽  
Theory Of Planned Behavior ◽  
Behavior Change ◽  
Planned Behavior ◽  
Controlled Trial ◽  
The United States ◽  
Behavior Change Techniques ◽  
Physical Activity Interventions

Physical activity interventions among older adults vary widely in the techniques used to elicit behavior change. The purpose of this systematic review was to determine what behavior change techniques (BCTs) are used in interventions to increase physical activity among older adults using the theory of planned behavior and to make suggestions for BCTs that appear to be more effective. A database search identified peer-reviewed articles documenting interventions based on the theory of planned behavior. Seven articles (three randomized controlled trial, three quasi-experimental, and onen-of-1) from four countries (the United States, the United Kingdom, Australia, and the Netherlands) were included for review. Researchers independently coded BCTs using a hierarchical taxonomy of 93 BCTs. The most frequently coded BCTs includedGoal Setting(n = 5 studies),Action Planning(n = 5 studies), andCredible Source(n = 5 studies). Of the 93 BCTs in the taxonomy, only 26 were used, indicating potential opportunities to implement and evaluate less commonly used techniques in future studies.

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