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Can Mindsets Predict Help-Seeking? A Growth Mindset Intervention and Mental Health App Engagement in Working Adults

Using a Mobile Health (mHealth) Self-Guided Application in the Workplace

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07071311
Acronym
GROW
Enrollment
307
Registered
2025-07-17
Start date
2023-03-13
Completion date
2023-09-29
Last updated
2025-07-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

App Engagement, Employee Health, Mindsets, Mobile Apps, Self-care Tools

Keywords

App Engagement, Behavior Change, Growth Mindset, Mobile App, mHealth, Self-help, Self-care, Mental Health

Brief summary

Despite the growing adoption of digital mental health initiatives in the workplace, employees' sustained engagement with these resources remained relatively low. Encouraging a growth mindset about mental health may help motivate employees to actively use these tools to support their well-being. This randomized controlled trial (RCT) examines whether introducing a growth mindset intervention prior to using a mental health app can improve users' repeated engagement with the app.

Interventions

This single-session growth mindset intervention consists of reading and reflective writing activities that present mental health as something that can be improved, rather than something fixed. The goal is to show that adopting a growth mindset of mental health can encourage more proactive mental health behaviors. To begin, participants will read stories of three employees who share their personal experiences navigating mental health challenges in the workplace. Each story highlights the employee's struggles, how they came to see mental health as changeable, and the steps they took to care for their well-being (e.g., practicing self-care or seeking therapy). After reading, participants will complete a short reflective essay in response to three prompts. These prompts guide them to examine their own mindset about mental health, endorse a growth mindset towards mental health, and outline specific actions they can take to proactively support their own mental well-being.

BEHAVIORALDigital Technology Condition

This single-session control exercise aims to encourage the use of digital technology in the workplace. It positions participants as experts who provide guidance to others on how to use digital tools more effectively at work. First, participants will read stories about employees' experiences navigating their workload with the help of workplace technology. Each story highlights the employee's initial struggles with learning new digital tools and how they eventually recognized the value of these technologies. This includes examples of how they viewed digital learning as manageable and took proactive steps-such as seeking help from colleagues or setting aside time to practice. Then, participants will complete a short reflective essay in response to three writing prompts. These prompts guide them to reflect on their own experiences with digital tools and offer practical advice to others on how to use new technologies effectively in the workplace.

Sponsors

National University of Singapore
CollaboratorOTHER
Intellect Pte. Ltd.
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)

Intervention model description

This single-session growth mindset intervention consists of reading and reflective writing activities that present mental health as something that can be improved, rather than something fixed. The goal is to show that adopting a growth mindset of mental health can encourage more proactive mental health behaviors. To begin, participants read stories of three employees who share their personal experiences navigating mental health challenges in the workplace. Each story highlights the employee's struggles, how they came to see mental health as changeable, and the steps they took to care for their well-being (e.g., practicing self-care or seeking therapy). After reading, participants complete a short reflective essay in response to three prompts. These prompts guide them to examine their own mindset about mental health, endorse a growth mindset towards mental health, and outline specific actions they can take to proactively support their own mental well-being.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Being able to read and understand English * Being 18 years or older * Being employed * Not using other mental health mobile applications or services concurrently.

Exclusion criteria

* Not able to read and understand English * Younger than 18 years old * Unemployed * Using other mental health mobile applications or services concurrently.

Design outcomes

Primary

MeasureTime frameDescription
Repeated App EngagementRepeated Engagement was defined as whether participants completed more than one self-help feature within three months of the growth mindset interventionCompletion of \>1 self-guided feature on the mental health app (Intellect)

Secondary

MeasureTime frameDescription
Anxiety and Depressive SymptomsBaseline AssessmentParticipants' baseline anxiety and depressive symptoms were assessed with the 4-item Patient Health Questionnaire. Scores are summed, ranging from 0-12. Higher PHQ-4 scores indicate more severe anxiety and depressive symptoms. The cutoffs for mild, moderate, and severe depression were 3, 6, and 9 respectively.
Perceived StressBaseline AssessmentParticipants' baseline stress levels over the last month were assessed using the 4-item Perceived Stress Scale. Scores are summed, ranging from 4-20, with higher scores indicating greater perceived stress.
Positive Well-beingBaseline AssessmentParticipants' baseline positive well-being was assessed using the 7-item Short Warwick-Edinburgh Mental Wellbeing Scale. Scores are summed, ranging from 7-35, with higher scores indicating more positive well-being.

Countries

Singapore

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026