MyPocketPal Feasibility Study
Feasibility and Acceptability of a Working Alliance-Informed Digital Mental Health App for University Students: A Pilot Randomized Controlled Trial
Participants will take part in a 4-week study consisting of two in-person sessions. During the first session, participants will complete a demographic form and baseline questionnaire, after which the study application will be installed on their preferred device. A research team member will provide a brief introduction to the application, guide participants through the registration process, and schedule the second session. Participants will then be randomly assigned to one of two study conditions, with each group receiving a different version of the application's mental health content.
Over the following four weeks, participants may use the application freely and at their own discretion. The application will send weekly reminders based on participants' preferred day and time, but no further contact will be initiated by the research team unless participants require assistance or wish to withdraw. Depending on their assigned condition, participants will either access standard mental health content or content delivered through a virtual agent that introduces weekly themes and recommends resources based on individual interests. The application will automatically record user interactions, such as content viewed, duration of use, and navigation patterns, for research analysis.
At the end of the study period, participants will attend a second in-person session where they will complete a follow-up questionnaire and participate in a short semi-structured interview. The questionnaires and interview will assess participants' perceptions of the application, including therapeutic alliance, perceived usefulness, and intention to continue using it. The interview will also provide additional insights to help interpret participants' usage patterns and experiences with the application. Participants will receive compensation upon completion of the study.
調査の概要
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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Singapore、シンガポール
- Nanyang Technological University
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参加基準
適格基準
就学可能な年齢
- 子
- 大人
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- Age: Between 15 and 35 years of age.
- Enrollment: Currently enrolled as students at a local university.
- Language: Proficient in English.
- Technology: Owned a smartphone capable of running the study application.
Exclusion Criteria:
- Age: Below 15 or above 35 years of age.
- Enrollment: Not currently enrolled as students at a local university.
- Language: Not proficient in English.
- Technology: Does not own a smartphone capable of running the study application.
研究計画
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：他の
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
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実験的：Intervention
The intervention group used an application whose design was guided by digital working alliance.
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The intervention app, MyPocketPal, is a digital mental health literacy application designed for university students and informed by the digital working alliance framework.
The app aims to enhance mental health knowledge and engagement through personalized, contextually relevant content tailored to students' interests and experiences.
It includes six modules covering mental health information, personal stories, self-help tools, wellness resources, support services, and additional resources.
A virtual agent introduces weekly content and provides recommendations based on user preferences.
Interactive features such as guided breathing exercises, meditation, journaling, and mental health screening tools are incorporated to promote engagement, while content is released progressively to reduce information overload and encourage sustained use.
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アクティブコンパレータ：Control
The control group used a standard digital well-being resource available to students through the university's well-being office.
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The control application consisted of a digital mental health resource that presented general well-being content commonly available to university students.
Content included articles, infographics, videos, event listings, support contacts, and links to external mental health tools covering topics such as stress management, sleep hygiene, mindfulness, and overall well-being.
Information was organized into browsable categories and updated regularly.
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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 |
|---|---|---|
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Perceived Usefulness, Attitude and Intention to Use from Technology Acceptance Model
時間枠：Scores were collected prior to starting the study and at the end of the 4 week study during follow up.
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9 Items used to measure the Technology Acceptance Model constructs of Perceived Usefulness, Attitude and Intention to Use were adapted from were adapted from Klopping and McKinney (2004), Yu and Yu (2010), and Ahadzadeh, Sharif (2015). The measurements were taken utilizing a 7 point Likert scale where 1 represented Strongly Disagree and 7 represented Strongly Agree |
Scores were collected prior to starting the study and at the end of the 4 week study during follow up.
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Changes in scores from Baseline in Digital Working Alliance Inventory at the end of 4 week intervention.
時間枠：Scores were collected prior to starting the study and at the end of the 4 week study during follow up.
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6 Items used to measure the constructs of Shared Goals, Task Relevance, Bonds and Digital Working Alliance were adapted from Goldberd et al. (2022) The measurements were taken utilizing a 7 point Likert scale where 1 represented Strongly Disagree and 7 represented Strongly Agree |
Scores were collected prior to starting the study and at the end of the 4 week study during follow up.
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Changes in scores from Baseline in Technological Self-Efficacy and Task Technology Fit at the end of 4 week intervention.
時間枠：Scores were collected prior to starting the study and at the end of the 4 week study during follow up.
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6 Items measuring were used to measure the constructs of Technological Self-Efficacy and Task Technology Fit were adapted from Becker (2016). The measurements were taken utilizing a 7 point Likert scale where 1 represented Strongly Disagree and 7 represented Strongly Agree. |
Scores were collected prior to starting the study and at the end of the 4 week study during follow up.
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Number of Logins Per Week
時間枠：From enrollment to the end of treatment at 4 weeks
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Participants were advised to log in once per week.
To track adherence, the number of logins to the application (where the application was launched and brought to the foreground) was collected.
This data was collected automatically by the application.
The value ranges from 0 to X where 0 represents no logins and X where X is an integer representing the number of logins and will be used to understand a participants weekly adherence and engagement.
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From enrollment to the end of treatment at 4 weeks
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Number of Minutes Spent in the Application Per Week
時間枠：From enrollment to the end of treatment at 4 weeks
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To track engagement, the number of minutes spent in the application was collected.
Users were considered to be spending time in the application when the application was launched and in the foreground of the mobile device.
This data was collected automatically by the application.
The value ranges from 0 to X where 0 represents 0 minutes spent in the application and X is an integer representing the total number of minutes spent in the application, and will be used to understand a participant's weekly engagement.
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From enrollment to the end of treatment at 4 weeks
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協力者と研究者
出版物と役立つリンク
一般刊行物
- Goldberg SB, Baldwin SA, Riordan KM, Torous J, Dahl CJ, Davidson RJ, Hirshberg MJ. Alliance With an Unguided Smartphone App: Validation of the Digital Working Alliance Inventory. Assessment. 2022 Sep;29(6):1331-1345. doi: 10.1177/10731911211015310. Epub 2021 May 18.
- Ahadzadeh AS, Pahlevan Sharif S, Ong FS, Khong KW. Integrating health belief model and technology acceptance model: an investigation of health-related internet use. J Med Internet Res. 2015 Feb 19;17(2):e45. doi: 10.2196/jmir.3564.
- Yu TK, Yu TY. Modelling the factors that affect individuals' utilisation of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour. British Journal of Educational Technology. 2010;41(6):1003-17.
- Klopping IM, McKinney E. Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology, Learning & Performance Journal. 2004;22(1).
- Becker D. Acceptance of mobile mental health treatment applications. Procedia Computer Science. 2016;98:220-7.
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- IRB-2023-233
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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