Mental Health Wellness 1 Clinical Trial
Official title:
Mobile Health Solutions for Behavioral Skill Implementation Through Homework
The goal of this two-year R34 treatment development grant is to develop a mobile health
(mHealth) application that will both advance theory in and clinical practice of homework (HW)
implementation.
HW can be described as between-session exercises where the client practices specific skills
learned within-session in order to promote skill acquisition, which ultimately leads to
improved acute- as well as longer-term therapeutic benefits on targeted outcomes,
generalization of treatment effects and maintenance of treatment gains. Despite data
demonstrating that HW is critical to achieving maximal benefits from evidence-based
treatments, very little theory-driven approaches have been conducted focusing on improving
the HW process. Through utilizing self-determination theory as a guiding framework and
integrating principles from the field of "gamification" and goal-setting, the aim is to
develop a two-component mHealth HW application (My MFG).
The first component focuses on delivering HW via a highly engaging, multiplayer, interactive,
cooperative, and skill-building game platform aimed at improving the "Design" and "Do"
process of HW. The second component focuses on targeting factors putatively related to poor
HW implementation within the "Do" process.
The process of the development of My MFG will be guided by the clinic and community
development model and iterative software development process to maximize the feasibility and
sustainability of My MFG within practice settings often characterized by limited resources.
Findings from this study have broad implications for evidence-based treatments for youth and
adult mental health disorders that emphasize HW as the link between treatment and
improvements in targeted outcomes.
The aim of the proposed study is to develop a theory-informed mobile health (mHealth)
application for urban caregivers attempting to improve their children's oppositional and
conduct related difficulties (i.e., disruptive behavior disorders; DBDs). The majority of
evidence-based treatments (EBTs) targeting youth DBDs emphasize change in specific
parenting/family-level processes empirically linked to the maintenance of DBDs. Existing EBTs
frequently include at-home-practice-exercises (i.e., homework; HW) to reinforce parent skill
acquisition and maximize use of new skills with children at home. Poor quantity and quality
of HW completed by parents significantly attenuates the effect of EBTs. This is a significant
limiting-factor in many EBTs attaining full public health impact. Given the robust effect of
HW on outcomes from EBTs across a range of behavioral health difficulties and populations,
there is a call for moving beyond the question of whether HW is important to questions such
as what processes are involved in HW implementation and how best to support these processes.
Minimal investigation has been focused on these critical questions.
A model of HW has recently been proposed to better understand the process of HW
implementation, as well as guide critically needed supports for at-home practice exercises.
This model proposes four HW processes:
1. Designing;
2. Assigning;
3. Doing, and;
4. Reviewing.
The DADR model proposes that specific social, cognitive and behavioral factors related to the
HW task, as well as to the provider and the adult caregiver may affect the quality of each
phase and ultimately to the quantity and quality of HW completed. Methods to better
understand, support, and impact these processes are essential to advancing theory and
offering solutions to HW completion.
Through features available on smartphones (e.g., camera/video/voice recording; simple message
service; internet-access; global positioning system), there are novel methods to interface
with and support clients outside of defined treatment sessions. Through the use of these
features, mHealth applications can be used to engage, educate, connect, track, and remind
clients. These applications can use push (send communications) or pull (client's access tools
on their own) mechanisms to engage the client in behavioral change activity. mHealth
applications that integrate push and pull methods offer a significant opportunity to enhance
outcomes across a range of health and behavioral health challenges and populations.
The goal of this two-year R34 treatment development grant is in response to RFA-MH-13-061
(Harnessing advanced health technologies to drive mental health improvement) to develop a
mHealth application that will both advance theory in and clinical practice guided by the DADR
model of HW implementation. Specifically we aim to utilize mHealth to improve the "Design"
and "Do" process of HW within the context of the Family Groups for Youth with Behavioral
Difficulties (MFG) intervention, an EBT for DBDs in youth and their families who seek
assistance at outpatient mental health clinics in urban communities. To date, efforts at
utilizing mHealth within the context of HW have been minimal and have not taken a systematic,
theory-driven approach, thereby limiting the advance of knowledge and clinical application.
Through utilizing self-determination theory as a guiding framework and integrating principles
from the field of "gamification" and goal-setting, the aim is to develop a two-component MFG
mHealth HW application (My MFG). The first component focuses on delivering MFG HW via a
highly engaging, multiplayer, interactive, cooperative, and skill-building game platform
aimed at improving the "Design" and "Do" process. The second component focuses on targeting
factors putatively related to poor HW implementation within the "Do" process.
The process of the development of My MFG will be guided by the clinic and community
development model and iterative software development process to maximize the feasibility and
sustainability of My MFG within practice settings often characterized by limited resources.
The specific aims of this project are to:
1. Develop My MFG through an iterative process informed by the perspectives of key
stakeholders
2. Determine the impact of MFG plus My MFG relative to MFG-alone on the DADR process and HW
quantity and quality. It is hypothesized that the MFG plus My MFG will result in:
1. Greater quality of the "Design" and "Do" process rated by therapists, parents, and
independent coders
2. Greater quantity and quality of HW assignments rated by therapists and parents
3. Greater quality of the "Review" process as rated by therapists, parents, and
independent coders as a function of improved HW quantity and quality
4. Greater satisfaction with treatment as rated by the parent, target child, and
therapists NIMH has specifically called for acceleration of research to maximize
the ability of current treatments to reduce symptoms, improve adherence and
functioning while improving quality of and lowering the cost of care. The mHealth
application and methods proposed herein serve as systematic, theory-driven
approaches to significantly advance understanding of how best to support the HW
process—a common element of many EBTs across various disorders and
populations—ultimately resulting in greater effectiveness of EBTs, maintenance and
generalization of behavioral skills learned during EBTs.
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