Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research (Preprint)

2019 ◽  
Author(s):  
Fawad Taj ◽  
Michel C A Klein ◽  
Aart van Halteren
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Behavioral Change ◽  
Digital Technologies ◽  
Health Behavior Change ◽  
The United States ◽  
Behavior Change Techniques ◽  
Research Areas

BACKGROUND Research on digital technology to change health behavior has increased enormously in recent decades. Due to the interdisciplinary nature of this topic, knowledge and technologies from different research areas are required. Up to now, it is not clear how the knowledge from those fields is combined in actual applications. A comprehensive analysis that systematically maps and explores the use of knowledge within this emerging interdisciplinary field is required. OBJECTIVE This study aims to provide an overview of the research area around the design and development of digital technologies for health behavior change and to explore trends and patterns. METHODS A bibliometric analysis is used to provide an overview of the field, and a scoping review is presented to identify the trends and possible gaps. The study is based on the publications related to persuasive technologies and health behavior change in the last 18 years, as indexed by the Web of Science and Scopus (317 and 314 articles, respectively). In the first part, regional and time-based publishing trends; research fields and keyword co-occurrence networks; influential journals; and collaboration network between influential authors, countries, and institutions are examined. In the second part, the behavioral domains, technological means and theoretical foundations are investigated via a scoping review. RESULTS The literature reviewed shows a clear and emerging trend after 2001 in technology-based behavior change, which grew exponentially after the introduction of the smartphone around 2009. Authors from the United States, Europe, and Australia have the highest number of publications in the field. The three most active research areas are computer science, public and occupational health, and psychology. The keyword “mhealth” was the dominant term and predominantly used together with the term “physical activity” and “ehealth”. A total of three strong clusters of coauthors have been found. Nearly half of the total reported papers were published in three journals. The United States, the United Kingdom, and the Netherlands have the highest degree of author collaboration and a strong institutional network. Mobile phones were most often used as a technology platform, regardless of the targeted behavioral domain. Physical activity and healthy eating were the most frequently targeted behavioral domains. Most articles did not report about the behavior change techniques that were applied. Among the reported behavior change techniques, goal setting and self-management were the most frequently reported. CONCLUSIONS Closer cooperation and interaction between behavioral sciences and technological areas is needed, so that theoretical knowledge and new technological advancements are better connected in actual applications. Eventually, this could result in a larger societal impact, an increase of the effectiveness of digital technologies for health behavioral change, and more insight in the relationship between behavioral change strategies and persuasive technologies' effectiveness.

scholarly journals Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research

10.2196/13311 ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. e13311 ◽  
Author(s):  
Fawad Taj ◽  
Michel C A Klein ◽  
Aart van Halteren
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Behavioral Change ◽  
Digital Technologies ◽  
Health Behavior Change ◽  
The United States ◽  
Behavior Change Techniques ◽  
Research Areas

Background Research on digital technology to change health behavior has increased enormously in recent decades. Due to the interdisciplinary nature of this topic, knowledge and technologies from different research areas are required. Up to now, it is not clear how the knowledge from those fields is combined in actual applications. A comprehensive analysis that systematically maps and explores the use of knowledge within this emerging interdisciplinary field is required. Objective This study aims to provide an overview of the research area around the design and development of digital technologies for health behavior change and to explore trends and patterns. Methods A bibliometric analysis is used to provide an overview of the field, and a scoping review is presented to identify the trends and possible gaps. The study is based on the publications related to persuasive technologies and health behavior change in the last 18 years, as indexed by the Web of Science and Scopus (317 and 314 articles, respectively). In the first part, regional and time-based publishing trends; research fields and keyword co-occurrence networks; influential journals; and collaboration network between influential authors, countries, and institutions are examined. In the second part, the behavioral domains, technological means and theoretical foundations are investigated via a scoping review. Results The literature reviewed shows a clear and emerging trend after 2001 in technology-based behavior change, which grew exponentially after the introduction of the smartphone around 2009. Authors from the United States, Europe, and Australia have the highest number of publications in the field. The three most active research areas are computer science, public and occupational health, and psychology. The keyword “mhealth” was the dominant term and predominantly used together with the term “physical activity” and “ehealth”. A total of three strong clusters of coauthors have been found. Nearly half of the total reported papers were published in three journals. The United States, the United Kingdom, and the Netherlands have the highest degree of author collaboration and a strong institutional network. Mobile phones were most often used as a technology platform, regardless of the targeted behavioral domain. Physical activity and healthy eating were the most frequently targeted behavioral domains. Most articles did not report about the behavior change techniques that were applied. Among the reported behavior change techniques, goal setting and self-management were the most frequently reported. Conclusions Closer cooperation and interaction between behavioral sciences and technological areas is needed, so that theoretical knowledge and new technological advancements are better connected in actual applications. Eventually, this could result in a larger societal impact, an increase of the effectiveness of digital technologies for health behavioral change, and more insight in the relationship between behavioral change strategies and persuasive technologies' effectiveness.

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.

scholarly journals Fear of Cancer Recurrence: A Model Examination of Physical Symptoms, Emotional Distress, and Health Behavior Change

2019 ◽  
Vol 15 (9) ◽  
pp. e787-e797 ◽  
Author(s):  
Daniel L. Hall ◽  
Rachel B. Jimenez ◽  
Giselle K. Perez ◽  
Julia Rabin ◽  
Katharine Quain ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behaviors ◽  
Emotional Distress ◽  
Cancer Recurrence ◽  
Health Behavior Change ◽  
Physical Symptoms ◽  
Fear Of Cancer Recurrence ◽  
Fear Of Cancer

PURPOSE: Fear of cancer recurrence is highly prevalent among adult survivors of cancer. The role of fear of recurrence in the emotional distress of survivors of cancer, as well as health behaviors that may directly affect their health, remains unclear. To advance oncology practice, this study sought to examine the extent to which fear of recurrence stemming from physical symptoms accounts for emotional distress in a large sample of adult survivors of cancer and to extend the model to explain postdiagnosis self-reported health behavior change. METHODS: In 2016, 258 survivors of cancer at an academic hospital completed a survey of psychosocial needs. Items assessed physical symptoms (checklist), fear of cancer recurrence (Assessment of Survivor Concerns), emotional distress (anxiety and depressed mood), and health behaviors (current alcohol use, physical activity, diet, and sunscreen use, as well as changes after cancer diagnosis) informed by National Comprehensive Cancer Network survivorship guidelines. Indirect effects regression models accounting for relevant covariates (age and treatment history) used 5,000-iteration bootstrapping. RESULTS: Higher fear of cancer recurrence was associated with greater number of physical symptoms ( P < .001), greater emotional distress ( P < .05), lower moderate or vigorous physical activity ( P < .05), higher sunscreen use ( P < .05), and postdiagnosis increases in alcohol use ( P < .01) and reductions in physical activity ( P < .01). Fear of cancer recurrence models accounted for almost half of the variance in distress of survivors of cancer ( R2 = 0.44, P < .001) and, to a lesser yet significant extent, changes in alcohol consumption ( R2 = 0.09, P < .001) and physical activity ( R2 = 0.06, P = .003). CONCLUSION: Fear of cancer recurrence plays a central role in the emotional distress and key health behaviors of survivors of cancer. These findings support fear of cancer recurrence as a potential target for emotional health and health behavior change interventions.

Multiple Health Behavior Change for Weight Loss: A Scoping Review

2020 ◽  
Vol 44 (5) ◽  
pp. 559-571
Author(s):  
Megan S. Maisano ◽  
Eleanor T. Shonkoff ◽  
Sara C. Folta
Keyword(s):  
Weight Loss ◽  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Transtheoretical Model ◽  
Cognitive Theory ◽  
Health Behavior Change ◽  
Risk Level ◽  
Multiple Health Behavior Change ◽  
Multiple Health

Objectives: In this scoping review, we examine the current state of literature on weight-related Multiple Health Behavior Change (MHBC). Specifically, we investigate: (1) MHBC versus single health behavior change (SHBC) interventions and (2) simultaneous versus sequential MHBC approaches. Secondarily, we explore (3) attributes that predict success in MHBC, and (4) the utilization of theoretical frameworks. Methods: We retrieved studies from PubMed, Web of Science, and Google Scholar within the 2000 to 2018 range. Results: MHBC interventions proved superior for long-term weight loss when compared to SHBC approaches. However, the literature is limited. Studies investigating simultaneous and sequential MHBC approaches are also limited and have mixed results. Predictive characteristics of MHBC include behavior adherence, risk level, stage of change, self-efficacy, social support, environmental barriers, and treatment approaches. Whereas evidence evaluating theory in MHBC programs remains scant, there is promising research on constructs from the Transtheoretical Model and Social Cognitive Theory. Conclusions: MHBC approaches may better support weight loss efforts. However, further research is needed to understand the effects of behavior change order and timing, predictive features of participants and interventions, and theoretical framework utilization in these weight-loss programs.

scholarly journals Promoting Healthy Eating and Physical Activity Behaviors: A Systematic Review of Multiple Health Behavior Change Interventions Among Cancer Survivors

2016 ◽  
Vol 12 (3) ◽  
pp. 184-199 ◽  
Author(s):  
Steve Amireault ◽  
Angela J. Fong ◽  
Catherine M. Sabiston
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Healthy Eating ◽  
Health Behavior Change ◽  
Cochrane Library ◽  
Multiple Health Behavior Change ◽  
The Impact ◽  
Multiple Health

Multiple health behavior change (MHBC) interventions have great potential for enhancing health and well-being following cancer diagnosis and treatment. However, the characteristics and effects of MHBC interventions remain elusive for cancer survivors. The main purpose of this study was to evaluate the effectiveness of MHBC interventions on healthy eating and physical activity behaviors among cancer survivors. A secondary aim was to examine the effect of using a simultaneous and sequential design approach to MHBC (ie, changing both behaviors at the same time or one after the other). Randomized controlled trials reporting the impact of a MHBC intervention on both healthy eating and physical activity behaviors among cancer survivors were retrieved from MEDLINE, Cochrane Library, and PsycINFO. A total of 27 MHBC interventions were identified; most (92.6%) were designed to promote simultaneous change in both behaviors and assessed end-of-treatment effect among breast cancer survivors. MHBC interventions led by nurses or multidisciplinary teams showed the most compelling evidence for small to moderate improvement in both behaviors, with interventions that lasted ≥17 weeks more likely to improve both behaviors. This study identifies research priorities and provides preliminary evidence for clinical decision making and advancements in MHBC intervention design and delivery for clinical oncology.

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