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Mobile Health Solutions for Behavioral Skill Implementation Through Homework (MHealth)

2020年2月27日 更新者:Mary M. McKay、NYU Silver School of Social Work

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.

調査の概要

状態

完了

条件

介入・治療

詳細な説明

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.

研究の種類

介入

入学 (予想される)

96

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • New York
      • New York、New York、アメリカ、10003
        • McSilver Institute for Poverty Policy and Research - New York University Silver School of Social Work

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

7年~13年 (子)

健康ボランティアの受け入れ

はい

受講資格のある性別

全て

説明

Inclusion Criteria:

1) youth between the ages of 7 to 13 years and an accompanying adult primary caregiver available to participate in the research and intervention activities 2) English speaking youth and adult caregiver and 3) youth meeting criteria for DBD via parent reports based on the Disruptive Behavior Disorder (DBD) rating scales of DSM symptoms and cross-situational impairment as assessed through parent ratings on the Impairment Rating Scale (IRS). Children will be diagnosed with DBD if they meet DSM symptom criteria for DBD by parent report (i.e., at least four symptoms of ODD or 3 symptoms of CD), and impairment ratings indicate at least one impairment domain.

-

Exclusion Criteria:

Children will also be excluded if there is:

  • Evidence of psychosis
  • If the youth or adult caregiver presents with emergency psychiatric needs that require services beyond that which can be managed within an outpatient setting (e.g. hospitalization, specialized placement outside the home), active intervention by clinic and research staff to secure what is needed will be made
  • Children will not be excluded if they participate in other psychosocial or pharmacological interventions.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:処理
  • 割り当て:なし
  • 介入モデル:単一グループの割り当て
  • マスキング:なし(オープンラベル)

武器と介入

参加者グループ / アーム
介入・治療
実験的:MFG plus MyMFG

MFG plus MyMFG will be tested and the aim is:

  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.
  4. Greater satisfaction with treatment as rated by the parent, target child, and therapists.

Specific aim is 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.

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.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
DADR Process- HW quantity and quality, Homework Rating Scale-II
時間枠:Weekly for 16 weeks; duration of group
This assessment helps to understand the DADR process and to assess if homework was completed and how much.
Weekly for 16 weeks; duration of group
DADR Proces- Homework Adherence and Competence Scales
時間枠:Participants will be tracked up to 16 weeks and feedback will be collected every week.
An independent observer will assess level of homework adherence and competence in every session.
Participants will be tracked up to 16 weeks and feedback will be collected every week.

二次結果の測定

結果測定
メジャーの説明
時間枠
DBD Symptoms -DBD Rating Scale
時間枠:Day 1- 1st contact
To assess the severity of behavior problems.
Day 1- 1st contact
Children's Impairment Rating Scale
時間枠:Day 1- 1st Contact
To assess level of behavioral impairment for child- caregiver reports.
Day 1- 1st Contact
Attendance
時間枠:Weekly- duration of the 16 week group
Attendance will be measured for each participant at every session.
Weekly- duration of the 16 week group
IOWA Conners Oppositional/Defiant Scale
時間枠:1st contact and at the end of the 16 week group
Caregiver assesses child's oppostitional and defiant behaviors at pre and post treatment.
1st contact and at the end of the 16 week group
Consumer Satisfaction & Feedback- Treatment Attitude Inventory
時間枠:1st contact and at the end of the 16 week group
This is a feedback assesment that will happen at either group or individual consultancy meeting to assess feedback of the MHealth process by parent, target child, and therapist.
1st contact and at the end of the 16 week group

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • 主任研究者:Mary M McKay, PhD、New York University Silver School of Social Work
  • スタディディレクター:Tyrone M Parchment, LMSW、New York University Silver School of Social Work
  • スタディディレクター:Ozge Sensoy-Bahar, PhD、New York University Silver School of Social Work

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2015年11月1日

一次修了 (実際)

2016年5月1日

研究の完了 (実際)

2016年6月1日

試験登録日

最初に提出

2013年7月18日

QC基準を満たした最初の提出物

2013年8月5日

最初の投稿 (見積もり)

2013年8月7日

学習記録の更新

投稿された最後の更新 (実際)

2020年3月2日

QC基準を満たした最後の更新が送信されました

2020年2月27日

最終確認日

2020年2月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • R34MH100407-01 (米国 NIH グラント/契約)

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。