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Email

jen.nicholas@unimelb.edu.au

Credentials


Position
Research Fellow In Functional Recovery In Ymh
Centre for Youth Mental Health
Education
Doctor of Philosophy
University of New South Wales
ORCID

0000-0003-1889-1107

Dr. Jen Nicholas

Research Fellow In Functional Recovery In Ymh
Centre for Youth Mental Health

44 Scholarly works
1 Projects

HIGHLIGHTS

  • 2021

    Journal article

    The youth online training and employment system: Study protocol for a randomized controlled trial of an online vocational intervention for young people with mental ill health
    DOI: 10.1111/eip.13100
  • 2021

    Internal Research Grant

    Virtual reality for vocational recovery in youth mental health
  • 2020

    Journal article

    Ethics and Privacy in Social Media Research for Mental Health
    DOI: 10.1007/s11920-020-01205-9
  • 2020

    Journal article

    Smartphone apps for the treatment of mental health conditions: status and considerations
    DOI: 10.1016/j.copsyc.2020.04.008
  • 2020

    Journal article

    Virtual reality as a clinical tool in mental health research and practice
    DOI: 10.31887/DCNS.2020.22.2/lvalmaggia
  • 2020

    Conference Proceedings

    "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression.
    DOI: 10.1145/3313831.3376309
  • 2020

    Journal article

    Here's something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
    DOI: 10.1136/bmjopen-2020-039817
Jen Nicholas

RECENT SCHOLARLY WORKS

  • 2020

    Journal article

    Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care.
    DOI: 10.1007/s10488-019-00979-2
  • 2019

    Journal article

    Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study
    DOI: 10.2196/15644
  • 2019

    Journal article

    Stepping Up: Predictors of 'Stepping' within an iCBT Stepped-Care Intervention for Depression
    DOI: 10.3390/ijerph16234689
  • 2019

    Journal article

    Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity.
    DOI: 10.1145/3369820
  • 2019

    Journal article

    “I think people are powerful”: The sociality of individuals managing depression
    DOI: 10.1145/3359143
  • 2019

    Conference Proceedings

    Understanding mental ill-health as psychosocial disability: Implications for assistive technology
    DOI: 10.1145/3308561.3353785
  • 2019

    Journal article

    The Role of Data Type and Recipient in Individuals' Perspectives on Sharing Passively Collected Smartphone Data for Mental Health: Cross-Sectional Questionnaire Study
    DOI: 10.2196/12578
  • 2019

    Journal article

    Economic Evaluations of Stepped Models of Care for Depression and Anxiety and Associated Implementation Strategies: A Review of Empiric Studies
    DOI: 10.5334/ijic.4157

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