scholarly journals Theory of Change in Digital Behavior Change Interventions (Dbcis) And Community-Based Change Initiatives – A General Framework

2021 ◽  
Vol 21 ◽  
pp. 554-569
Author(s):  
Dana Rad ◽  
Gavril Rad
Keyword(s):  
Behavior Change ◽  
Psychological Intervention ◽  
Theory Of Change ◽  
Community Based ◽  
Change Initiatives ◽  
Complex Situation ◽  
Behavior Change Interventions ◽  
Intermediate Outcomes ◽  
A Chain ◽  
Theories Of Change

A theory of change is a purposeful model of how an initiative, such as a policy, a strategy, a program, a project or an intervention contributes through a chain of early and intermediate outcomes to the intended result. Theories of change help navigate the complexity of social change. Digital behavior change interventions (DBCIs) and Community-based change initiatives represent complex designable systems. The goal of the DCBI is to provide an effective theoretical framework for behavioral change to practitioners that offer different forms of psychological intervention based on scientifically validated practices. Applying theory of change when designing digital individual and community interventions for optimizing digital wellbeing helps practitioners to achieve results in practice, as this strategic approach is generally considered an evidence-based framework. Theory of change is useful to guide the strategic thinking and action, as most of DCBI/ Community-based change initiatives research endeavors are active in a complex situation, often unplanned events happening. Conclusions and implications are discussed.

Applying Systems Science to Evaluate a Community-Based Social Marketing Innovation

2014 ◽  
Vol 20 (4) ◽  
pp. 247-267 ◽  
Author(s):  
Brian J. Biroscak ◽  
Tali Schneider ◽  
Anthony D. Panzera ◽  
Carol A. Bryant ◽  
Robert J. McDermott ◽  
...  
Keyword(s):  
Policy Change ◽  
Social Marketing ◽  
The United States ◽  
Theory Of Change ◽  
Systems Science ◽  
Community Coalitions ◽  
Community Based ◽  
Community Coalition ◽  
Development Framework ◽  
Intermediate Outcomes

In the United States, community coalitions are an important part of the public health milieu, and thus, subject to many of the same external pressures as other organizations—including changes in required strategic orientation. Many funding agencies have shifted their funding agenda from program development to policy change. Thus, the Florida Prevention Research Center created the Community-Based Prevention Marketing (CBPM) for Policy Development framework to teach community coalitions how to apply social marketing to policy change. The research reported here was designed to explicate the framework’s theory of change. We describe and demonstrate a hybrid evaluation approach: utilization-focused developmental evaluation. The research question was “What are the linkages and connections among CBPM inputs, activities, immediate outcomes, intermediate outcomes, and ultimate impacts?” We implemented a case study design, with the case being a normative community coalition. The study adhered to a well-developed series of steps for system dynamics modeling. Community coalition leaders may expect CBPM to provide immediate gains in coalition performance. Results from causal diagramming show how gains in performance are delayed and follow an initial decline in performance. We discuss the practical implications for CBPM’s developers—for example, importance of managing coalition expectations—and other social marketers—for example, expansion of the evaluation toolkit.

scholarly journals Using theories of change to design monitoring and evaluation of community engagement in research: experiences from a research institute in Malawi

2018 ◽  
Vol 3 ◽  
pp. 8 ◽  
Author(s):  
Kate Gooding ◽  
Regina Makwinja ◽  
Deborah Nyirenda ◽  
Robin Vincent ◽  
Rodrick Sambakunsi
Keyword(s):  
Community Engagement ◽  
Information Needs ◽  
Monitoring And Evaluation ◽  
Evaluation Framework ◽  
Theory Of Change ◽  
Design Data ◽  
Intermediate Outcomes ◽  
Evaluation Staff ◽  
Research Organisations ◽  
Theories Of Change

Background: Evaluation of community and public engagement in research is important to deepen understanding of how engagement works and to enhance its effectiveness. Theories of change have been recommended for evaluating community engagement, for their ability to make explicit intended outcomes and understandings of how engagement activities contribute to these outcomes. However, there are few documented examples of using theories of change for evaluation of engagement. This article reports experience of using theories of change to develop a framework for evaluating community engagement in research at a clinical research organisation in Malawi. We describe the steps used to develop theories of change, and the way theories of change were used to design data collection plans. Based on our experience, we reflect on the advantages and challenges of the theory of change approach. Methods: The theories of change and evaluation framework were developed through a series of workshops and meetings between engagement practitioners, monitoring and evaluation staff, and researchers. We first identified goals for engagement, then used ‘so that’ chains to clarify pathways and intermediate outcomes between engagement activities and goals. Further meetings were held to refine initial theories of change, identify priority information needs, and define feasible evaluation methods. Results: The theory of change approach had several benefits. In particular, it helped to construct an evaluation framework focused on relevant outcomes and not just activities. The process of reflecting on intended goals and pathways also helped staff to review the design of engagement activities. Challenges included practical considerations around time to consider evaluation plans among practitioners (a challenge for evaluation more generally regardless of method), and more fundamental difficulties related to identifying feasible and agreed outcomes. Conclusions: These experiences from Malawi provide lessons for other research organisations considering use of theories of change to support evaluation of community engagement.

scholarly journals Using Community-Based Prevention Marketing to Generate Demand for Healthy Diets in Jordan

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3068
Author(s):  
Rowena K. Merritt ◽  
Jacqueline de de Groot ◽  
Lama Almajali ◽  
Nitesh Patel
Keyword(s):  
Behavior Change ◽  
Child Nutrition ◽  
Dietary Habits ◽  
Overweight And Obesity ◽  
Micronutrient Deficiencies ◽  
Community Based ◽  
Behavioral Determinants ◽  
Attitudes And Practices ◽  
Behavior Change Interventions ◽  
Healthy Diets

Jordan has been experiencing a nutrition transition with high rates of micronutrient deficiencies and rising overweight and obesity rates. This highlights the need to generate demand for healthy diets. This study used a community-based prevention marketing approach and worked with local communities as partners to develop a set of behavior change interventions to improve healthy eating within vulnerable communities. Individual, family, and paired-friendship interviews, and co-creation workshops were conducted with 120 people. The aim of these interviews was to gain an in-depth understand of school-aged children and their families’ nutrition knowledge, attitudes, and practices, including social and cultural norms and behavioral determinants, and then use this information to co-create interventions, activities and materials targeted at supporting school-aged child nutrition. Analysis of the interviews revealed that dietary habits are both deeply personal and profoundly entwined by emotions and social norms, and that parents often gave in to their children’s demands for unhealthy foods and beverages due to their perception of what a ‘good parent’ looks like and the desire to see their child ‘smile’. These key insights were then shared during the co-creation workshops to develop behavior change interventions—ensuring that interventions were developed by the community, for the community.

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c

2021 ◽  
Author(s):  
Ana Paula Delgado Bomtempo Batalha ◽  
Isabela Coelho Ponciano ◽  
Gabriela Chaves ◽  
Diogo Carvalho Felício ◽  
Raquel Rodrigues Britto ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Behavior Change ◽  
Self Management ◽  
Behavior Change Interventions

A Scoping Review of Behavior Change Interventions to Decrease Health Care Disparities for Patients With Disabilities in a Primary Care Setting: Can Social Marketing Play a Role?

2021 ◽  
Vol 27 (1) ◽  
pp. 48-63
Author(s):  
Angela Makris ◽  
Mahmooda Khaliq ◽  
Elizabeth Perkins
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Behavior Change ◽  
Social Marketing ◽  
Health Care Disparities ◽  
Social Model ◽  
Care Providers ◽  
Social Model Of Disability ◽  
Behavior Change Interventions ◽  
The Social

Background: One in four Americans have a disability but remain an overlooked minority population at risk for health care disparities. Adults with disabilities can be high users of primary care but often face unmet needs and poor-quality care. Providers lack training, knowledge and have biased practices and behaviors toward people with disabilities (PWD); which ultimately undermines their quality of care. Focus of the Article: The aim is to identify behavior change interventions for decreasing health care disparities for people with disabilities in a healthcare setting, determine whether those interventions used key features of social marketing and identify gaps in research and practice. Research Question: To what extent has the social marketing framework been used to improve health care for PWD by influencing the behavior of health care providers in a primary health care setting? Program Design/Approach: Scoping Review. Importance to the Social Marketing Field: Social marketing has a long and robust history in health education and public health promotion, yet limited work has been done in the disabilities sector. The social marketing framework encompasses the appropriate features to aligned with the core principles of the social model of disability, which espouses that the barriers for PWD lie within society and not within the individual. Incorporating elements of the social model of disability into the social marketing framework could foster a better understanding of the separation of impairment and disability in the healthcare sector and open a new area of research for the field. Results: Four articles were found that target primary care providers. Overall, the studies aimed to increase knowledge, mostly for clinically practices and processes, not clinical behavior change. None were designed to capture if initial knowledge gains led to changes in behavior toward PWD. Recommendations: The lack of published research provides an opportunity to investigate both the applicability and efficacy of social marketing in reducing health care disparities for PWD in a primary care setting. Integrating the social model of disability into the social marketing framework may be an avenue to inform future interventions aimed to increase health equity and inclusiveness through behavior change interventions at a systems level.

scholarly journals Catalyzing sustainable fisheries management through behavior change interventions

2020 ◽  
Vol 34 (5) ◽  
pp. 1176-1189 ◽  
Author(s):  
Gavin McDonald ◽  
Molly Wilson ◽  
Diogo Veríssimo ◽  
Rebecca Twohey ◽  
Michaela Clemence ◽  
...  
Keyword(s):  
Behavior Change ◽  
Fisheries Management ◽  
Sustainable Fisheries ◽  
Behavior Change Interventions

Training commercial energy users in behavior change: A case study

2020 ◽  
Author(s):  
Sea Rotmann ◽  
Beth Karlin
Keyword(s):  
Behavior Change ◽  
Behavioral Interventions ◽  
Professional Training ◽  
Energy Use ◽  
Behavioral Science ◽  
Research Process ◽  
Commercial Sector ◽  
Great Opportunity ◽  
Behavior Change Interventions ◽  
Commercial Energy

Within the commercial sector, energy managers and building operators have a large impact over their organizations’ energy use. However, they mostly focus on technology solutions and retrofits, rather than human or corporate behaviors, and how to change them. This gap in targeted commercial sector research and behavioral interventions provides a great opportunity which is currently not being addressed. This paper presents a field research pilot where an empirical behavior change research process was applied and taught to commercial energy users in Ontario, Canada. This course served to fill an identified market gap and to improve commercial energy managers’ literacy in behavioral science theory and techniques. A needs assessment identified a clear gap in behavioral training for energy managers, and high interest in the course further proved out the market opportunity for professional training on how to design, implement and evaluate behavior change interventions. Evaluation results identified positive feedback in terms of course reaction, self-reported learning and behavioral outcomes, and tangible results when course participants returned to work to apply their learnings. Evaluation results suggest that such training fills a vital gap in the current Strategic Energy Management (SEM) landscape, and could unlock significant savings in the commercial energy sector.

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