A Psychometric Approach to Theory-Based Behavior Change Intervention Development: Example From the Colorado Meaning-Activity Project

2018 ◽  
Vol 52 (6) ◽  
pp. 463-473 ◽  
Author(s):  
Kevin S Masters ◽  
Kaile M Ross ◽  
Stephanie A Hooker ◽  
Jennalee L Wooldridge
2021 ◽  
Author(s):  
Geneva Kay Jonathan ◽  
Cynthia A Dopke ◽  
Tania Michaels ◽  
Clair R Martin ◽  
Chloe Ryan ◽  
...  

BACKGROUND Bipolar disorder is a severe mental illness characterized by recurrent episodes of depressed, elevated and mixed mood states. Pharmacological management combined with adjunctive psychotherapy can decrease symptoms, lower relapse rates and improve quality of life; however, access to psychotherapy is limited. Mental health technologies such as smartphone applications are being studied as a means to increase access to and enhance the effectiveness of adjunctive psychotherapies for bipolar disorder. These studies have demonstrated that individuals with bipolar disorder find this intervention format acceptable, but our understanding of how people utilize and integrate these tools into their behavior change and maintenance processes remains limited. OBJECTIVE The objective of this study was to explore how individuals with bipolar disorder perceive and utilize a smartphone intervention for health behavior change and maintenance. METHODS Individuals with bipolar disorder participated in a pilot study of LiveWell, a smartphone-based self-management intervention. At the end of the study, all participants completed in-depth qualitative exit interviews. The behavior change framework developed to organize the intervention design was used to deductively code behavioral targets and determinants involved in target engagement and inductive coding was used to identify themes not captured by this framework. RESULTS In terms of behavioral targets, participants emphasized the importance of managing mood episode related signs and symptoms. They also discussed the importance of maintaining regular routines, sleep duration, and medication adherence. In addition, participants emphasized that receiving support from a coach as well as seeking and receiving assistance from family, friends and providers was important for managing behavioral targets and staying well. In terms of determinants, participants stressed the important role of monitoring for their behavior change and maintenance efforts. Participants indicated that monitoring facilitated self-awareness and reflection which they felt was valuable for staying well. Some participants also felt that the intervention facilitated learning information necessary for managing bipolar disorder but others felt that the information provided was too basic. CONCLUSIONS In addition to addressing acceptability, satisfaction, and engagement, person-based design of mental health technologies can be used to understand how people experience the impact of these technologies on their behavior change and maintenance efforts. This understanding may then be used to guide ongoing intervention development. In this study, participants discussed their perceptions that managing signs and symptoms and maintaining regular routines, sleep duration, and medication adherence were important for staying well and that monitoring played an important role in these efforts. These perceptions aligned with the intervention's primary behavioral targets and use of a monitoring tool as a core intervention feature. However, participants also highlighted how the intervention encouraged involving family and friends in their change efforts. While content addressing building and engaging supports was included in the intervention, this was not a primary intervention target. Participant feedback thus indicates that developing additional content and tools to address building and engaging social support may be an important avenue for improving LiveWell. Our findings suggest that using a comprehensive behavior change framework to understand participant perceptions of their behavior change and maintenance efforts may help facilitate ongoing intervention development. CLINICALTRIAL NCT02405117


2018 ◽  
Vol 53 (8) ◽  
pp. 756-768
Author(s):  
Rebecca Murray ◽  
Amanda Baker ◽  
Sean Halpin ◽  
Ben Britton ◽  
Kristen McCarter ◽  
...  

Abstract Background The relationship between a clinician and their client—the “therapeutic alliance” is a robust predictor of outcome in healthcare settings; yet, few interventions to improve alliance have been tested. Motivational interviewing is a client-centered approach that embodies many principles and strategies consistent with a strong therapeutic alliance. Purpose To examine whether alliance is enhanced by training dietitians to deliver a motivational interviewing informed health behavior change intervention (“Eating as Treatment”; EAT) as part of routine consultations with patients with head and neck cancer. The predictive ability of motivational interviewing techniques was also assessed. Methods A secondary analysis of the EAT stepped-wedge cluster-randomized controlled trial was conducted. Patients with head and neck cancer undergoing radiotherapy (n = 307) were treated by radiotherapy dietitians (n = 29) during the control (Treatment as Usual) or intervention (EAT) phase. Alliance was rated during the first and final weeks of radiotherapy, and again 4 and 12 weeks post-radiotherapy. Dietetic sessions were audiotaped. Week one sessions were objectively rated for dietitians’ use of motivational interviewing techniques. Results Generalized linear-mixed effects regressions found no effect of EAT on dietitian-rated alliance (p = .237). After excluding outliers, patient-rated alliance was 0.29 points lower after EAT training (p = .016). Post hoc analyses revealed lower patient ratings on perceived support and dietitian confidence. Hierarchical multiple regressions found that no specific motivational interviewing techniques predicted patient-rated alliance. Dietitian acknowledgment of patient challenges was related to dietitian-rated alliance (β =.15, p =.035). Conclusions Patient and dietitian ratings of alliance were high after EAT training, but not significantly improved. Further research is needed to better understand the differential impact of intervention training and delivery on patient and clinician ratings of therapeutic alliance. Clinical Trial information Trial registration number ACTRN12613000320752


Author(s):  
Madalina Sucala ◽  
Nnamdi Peter Ezeanochie ◽  
Heather Cole-Lewis ◽  
Jennifer Turgiss

Abstract The rapid expansion of technology promises to transform the behavior science field by revolutionizing the ways in which individuals can monitor and improve their health behaviors. To fully live into this promise, the behavior science field must address distinct challenges, including: building interventions that are not only scientifically sound but also engaging; using evaluation methods to precisely assess intervention components for intervention optimization; and building personalized interventions that acknowledge and adapt to the dynamic ecosystem of individual and contextual variables that impact behavior change. The purpose of this paper is to provide a framework to address these challenges by leveraging behavior science, human-centered design, and data science expertise throughout the cycle of developing and evaluating digital behavior change interventions (DBCIs). To define this framework, we reviewed current models and practices for intervention development and evaluation, as well as technology industry models for product development. The framework promotes an iterative process, aiming to maximize outcomes by incorporating faster and more frequent testing cycles into the lifecycle of a DBCI. Within the framework provided, we describe each phase, from development to evaluation, to discuss the optimal practices, necessary stakeholders, and proposed evaluation methods. The proposed framework may inform practices in both academia and industry, as well as highlight the need to offer collaborative platforms to ensure successful partnerships that can lead to more effective DBCIs that reach broad and diverse populations.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 817-817
Author(s):  
Jaime Hughes ◽  
Janet Bettger ◽  
Susan Hughes ◽  
Mina Raj

Abstract Modifying health behaviors can be difficult, especially for older adults who are challenged by multiple chronic conditions, reduced functional and/or cognitive capacity, and limited social support. Although much attention has been given to the theories, skills, and resources behind initiating and achieving behavior change, less work has focused on maintenance of health behaviors over time. This presentation will showcase pilot research inspired by RCCN’s first workshop, Achieving and Sustaining Behavior Change. Specifically, this pilot brings together an interdisciplinary team of behavioral scientists and health services researchers working at the intersection of intervention science and implementation science to better understand the construct of maintenance and discuss emerging methods for intervention development and evaluation. The presentation will utilize physical activity as an example behavior to demonstrate the value of interdisciplinary research, including recommendations on how some of the six NIA research centers can make unique contributions to understanding health behavior maintenance.


2019 ◽  
Vol 47 ◽  
pp. 16-27 ◽  
Author(s):  
Devon Wemyss ◽  
Francesca Cellina ◽  
Evelyn Lobsiger-Kägi ◽  
Vanessa de Luca ◽  
Roberta Castri

Author(s):  
Charlotte C. Currie ◽  
Jessica Walburn ◽  
Katie Hackett ◽  
Rose McCabe ◽  
Falko F. Sniehotta ◽  
...  

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