Multi-stakeholder Perspectives on Mental Health Screening Tools for Children

Cognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia)Special Education TechnologyPsychiatrists & PsychotherapistsSpeech-Language Pathologists & AudiologistsSpecial Education TeachersEarly Childhood Educators

Document Title

Multi-stakeholder Perspectives on Mental Health Screening Tools for Children

Document Information

  • Field of Study: Child Mental Health and Human-Computer Interaction
  • Keywords: Child mental health, integrated care, digital health, screening technology, family education, clinical practice, gamification, behavioral data, data privacy, user-centered design

Research Background and Issues

  • Problems or Challenges Identified by the Authors:

    1. Child mental health disorders are a significant global issue, but early diagnosis faces numerous barriers.
    2. Systemic issues such as resource shortages, economic and racial disparities, the burden of accessing care, and the lack of accuracy in existing assessment tools hinder the management of child mental health.
    3. There is a lack of tools to support parents in identifying mental health problems and seeking help; clinical screening data sources are relatively limited.
  • Significance: Child mental health not only affects their current quality of life but can also have profound impacts on their future education, employment, and socioeconomic status. Moreover, these challenges impose significant economic burdens on society as a whole.

  • Research Motivation and Related Work:

    1. Existing digital tools have been used to support child development tracking and behavior management. However, these tools primarily focus on physical health or early developmental deficits, with insufficient application in mental and behavioral health screening.
    2. The authors aim to promote the development and adoption of mental health screening technologies by integrating perspectives from mental health professionals and parents, enabling better integration into existing diagnostic and care processes.

Solutions

  • Proposed Methods or Solutions: The authors conducted two studies to gather multi-stakeholder opinions:

    1. Analyzed survey data from 60 child mental health professionals.
    2. Collected opinions from 26 parents of preschool-aged children through semi-structured interviews.
  • Innovative Aspects:

    1. This is the first systematic study of child mental health screening technologies from a multi-stakeholder perspective.
    2. The study identifies specific design tensions (e.g., the trade-off between data richness and user burden) and proposes design optimization suggestions.
  • Implementation Steps and Key Techniques:

    1. Used design probes and heuristic survey methods to gather professionals' views on an app-based screening tool (EarlyScreen).
    2. Collected interview data from parents to uncover their concerns, with an in-depth analysis of the potential benefits and challenges of behavior tracking.
    3. Employed qualitative coding and thematic analysis methods to identify consensus and conflicts among stakeholders' opinions.

Research Findings

  • Specific Findings:

    1. Identified major concerns from parents and professionals regarding screening tools, including the lack of scaffolding for parents to seek help, insufficient resources and data, and the limitations of existing screening methods.
    2. Summarized the potential benefits of screening tools, such as improving access to mental health services, supplementing existing clinical data, making the screening process more child-friendly, and reducing parents' psychological burden.
    3. Proposed a design tension framework: balancing data richness with user burden, frictionless screening with avoiding over-reliance on tools, and extending beyond clinics while mitigating data contamination and privacy risks.
  • Comparative Advantages Over Existing Solutions: By leveraging technology to naturally observe children's behavior, the screening tools can overcome the limitations of traditional diagnostics, offering low-cost, highly convenient, and child-friendly screening solutions.

  • Experimental or Evaluation Results: Based on the analysis of survey and interview data, the authors proposed specific design recommendations, such as:

    • Guiding parents to set appropriate screening stimuli to control for moderate challenges.
    • Exploring non-screen-based mediums for screening to reduce screen exposure.
    • Adding follow-up action guides for parents to support access to further care.
  • Limitations and Future Directions:

    1. The sample primarily consisted of clinicians and parents from the United States, presenting cultural and geographical limitations. Future research should expand to other regions and populations.
    2. The study did not include the perspectives of children as direct users, suggesting the need for child participatory design methods in future research.
    3. Using EarlyScreen as a probe may have led to biased feedback toward a specific tool; future research should encompass a variety of screening technologies.

Design Recommendations

  • Explore non-screen-based assessment methods, such as modular toys or portable wearable devices.
  • Support parents in customizing screening parameters to suit their child's needs.
  • Provide engaging, child-interest-aligned experiences to minimize fatigue from repeated use.
  • Include clear follow-up care pathways, such as preliminary diagnoses and resource referrals based on the tool's findings.
  • Develop new algorithms to effectively capture environmental variables and reduce the impact of data contamination.
  • Strengthen privacy and data protection measures, including anonymized data and user control over data.

By implementing these recommendations, screening tools can be further optimized to enhance their practical value as auxiliary mental health care tools, while addressing multi-stakeholder concerns and design tensions.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/147792/2024

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://doi.org/10.1145/3613904.3642604
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2024
emoji_events
Award
No award tagged
group
Authors
6 authors
sell
Subtopics
Cognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia), Special Education Technology
work
Professions
Psychiatrists & Psychotherapists, Speech-Language Pathologists & Audiologists, Special Education Teachers, Early Childhood Educators
article
Content Status
Full text indexed
hub
Related Papers
2 related papers