Technology-based Behavior Change Research Articles

The Canadian Healthy Life Trajectories Initiative (HeLTI) Trial: a study protocol for monitoring fidelity of a preconception-lifestyle behaviour intervention

BackgroundIn evaluating technology-based behaviour change interventions, it is increasingly important to have a monitoring plan for intervention fidelity. It is important to maintain intervention fidelity to ensure that the theory-based intervention that is being tested is what causes the observed changes, particularly for eHealth behaviour change interventions. In this protocol, we outline the intervention fidelity and monitoring protocol for Healthy Life Trajectory Initiative (HeLTI) Canada, a randomized controlled trial evaluating the effect of a preconception-early childhood technology-based intervention delivered by public health nurses among pregnancy-planning women and their partners to optimize child growth and development.MethodsThe HeLTI Canada fidelity protocol is based on the National Institutes of Health Behaviour Change Consortium (NIH BCC) Treatment Fidelity Framework, outlining the following components of intervention fidelity: study design, provider training, intervention delivery, intervention receipt, and intervention enactment. The intervention fidelity components and associated monitoring strategies were developed to align with the HeLTI Canada approach. Strategies for intervention fidelity monitoring include a pre-post written evaluation of training, standardization of provider training, use and monitoring of activity logs, and intervention session checklists. Possible challenges to intervention fidelity include provider turnover due to the length of the trial and lack of ability to directly monitor participant behaviour change in real-life settings. Details about intervention fidelity monitoring are provided in detail. The study launched in January 2021 and is currently recruiting.DiscussionUsing the NIH BCC Treatment Fidelity Framework, HeLTI Canada has a robust framework for monitoring and reporting intervention fidelity to improve intervention validity, ability to assess intervention effectiveness, and transparency.Trial registrationISRCN ISRCTN13308752. Registered on February 29, 2019.

Improving Resilience, Optimism, Purpose, and Loneliness Among Older Adults

Aging Strong 2020 was developed to promote health and well-being and increase resilience by focusing on the pillars of enhanced purpose in life, social connectedness, and optimism. A series of eight interventions over three years tested the feasibility of enhancing these pillars. Interventions included: 1) An expressive writing program, 2) Animatronic pets, 3) A telephonic reminiscent program, 4) An online self-compassion mindfulness program, 5) A technology-based behavior change tool, 6) An online and workbook tool for purpose, 7) An online happiness program, and 8) A peer-to-peer support program. Each program demonstrated efficacy dependent on the pillar targeted and the population sampled. Overall, some improvement was found among participants in resilience (47%), purpose (49%), optimism (44%), and loneliness (48%). Further, participant satisfaction improved in each program with Net Promoter Scores increasing between 7-19 points. Results demonstrate that Aging Strong 2020 was successful, contributing to a holistic model of healthy aging.

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

BackgroundResearch 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.ObjectiveThis 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.MethodsA 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.ResultsThe 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.ConclusionsCloser 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.

Using Relational Agents to Promote Family Communication Around Type 1 Diabetes Self-Management in the Diabetes Family Teamwork Online Intervention: Longitudinal Pilot Study.

BackgroundFamily conflict can reduce adolescent adherence to type 1 diabetes management tasks. The Family Teamwork in-person intervention was shown to be efficacious in reducing conflict and low adherence to diabetes-related tasks. Its reach and potential impact, however, were limited by the need to deliver the intervention sessions in person. Relational agents (ie, computerized versions of humans) have been shown to appeal to diverse audiences and may be an acceptable replacement for a human in technology-based behavior change interventions.ObjectiveThe purpose of this paper is to present the results of a pilot study assessing feasibility and acceptability of Diabetes Family Teamwork Online, an adapted version of the Family Teamwork intervention, delivered over the internet and guided by a relational agent.MethodsParent-adolescent dyads were recruited through a diabetes care clinic at a large tertiary care hospital in the southwestern United States. A one-group design, with assessments at baseline, immediate postintervention, and 3 months later, was used to assess feasibility. A priori feasibility criteria included an assessment of recruitment, completion, attrition, program satisfaction, therapeutic alliance, attitudes toward the relational agent, and data collection. The institutional review board at Baylor College of Medicine approved the protocol (H-37245).ResultsTwenty-seven adolescents aged 10 to 15 years with type 1 diabetes and their parents were enrolled. Criteria used to assess feasibility were (1) recruitment goals were met (n=20), (2) families completed ≥75% of the modules, (3) attrition rate was ≤10%, (4) program satisfaction was high (≥80% of families), (5) therapeutic alliance was high (average score of ≥60/84), (6) families expressed positive attitudes toward the relational agent (average item score of ≥5 on ≥4 items), (7) ≥80% of data were collected at post 1 and post 2, and (8) few technical issues (≤10%) occurred during intervention delivery. All feasibility criteria were met. Qualitative data confirmed that adolescents and parents had positive reactions to both the content and approach.ConclusionsThe Diabetes Family Teamwork Online intervention proved to be a feasible and acceptable method for enhancing communication around diabetes management tasks in families with an adolescent who has type 1 diabetes.International Registered Report Identifier (IRRID)RR2-10.2196/resprot.5817

Preliminary efficacy and feasibility of referral to exercise specialists, psychologists and provision of a technology-based behavior change support package to promote physical activity in school teachers ‘at risk' of, or diagnosed with, type 2 diabetes: The ‘SMART Health’ Pilot Study Protocol

IntroductionType 2 diabetes mellitus (T2DM) is a global public health concern. Aerobic physical activity (PA) and resistance training (RT) play significant roles in the prevention and management of T2DM. The aim of this pilot trial is to determine the preliminary efficacy and confirm feasibility of referral to exercise physiologists, psychologists, and provision of a technology-based behavior change support package to promote aerobic PA and RT in school teachers ‘at risk' of or diagnosed with T2DM. Research design and methodsThe SMART (Support, Motivation and Physical Activity Research for Teachers’) Health pilot study will be evaluated using a three-arm randomized controlled trial. The intervention will be guided by Social Cognitive Theory, Health Action Process Approach Model and Cognitive Behavioral Therapy strategies. The participants will be randomly allocated to one of three study groups: Group 1: wait-list control group; Group 2: 5 face-to-face visits with a psychologist and exercise specialist over 3 months; and Group 3: same as Group 2 plus technology-based behavior change support package for an additional 6 months. Assessments will be conducted at baseline, 3-, 9- (primary time-point) and 18-months post-baseline. The primary outcome will be PA measured with pedometers. DiscussionSMART Health is an innovative, multi-component intervention, that integrates referral to exercise specialists, psychologists and provision of a technology-based behavior support package to promote PA and RT in adults diagnosed with T2DM or ‘at risk' of T2DM. The findings will be used to guide future PA interventions and to develop effective community-based diabetes prevention and treatment programs. Trial RegistrationAustralian New Zealand Clinical Trials Registry No: ACTRN12616001309471

A Systematic Review of Behavioral Interventions to Promote Intake of Fruit and Vegetables

Fruit and vegetable (F/V) intake in the United States remains below recommended levels despite evidence of the health benefits of regular consumption. Efforts to increase F/V intake include behavior-based interventions. A systematic review of MEDLINE PubMed and PsycINFO databases (2005–2010) was conducted to identify behavior-based intervention trials designed to promote F/V intake. Using predetermined limits and selection criteria, 34 studies were identified for inclusion. Behavior-based interventions resulted in an average increase in F/V intake of +1.13 and +0.39 servings per day in adults and children, respectively. Interventions involving minority adults or low-income participants demonstrated average increases in daily F/V consumption of +0.97 servings/day, whereas worksite interventions averaged +0.8 servings/day. Achieving and sustaining F/V intake at recommended levels of intake across the population cannot be achieved through behavior-based interventions alone. Thus, efforts to combine these interventions with other approaches including social marketing, behavioral economics approaches, and technology-based behavior change models should be tested to ensure goals are met and sustained.