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Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability

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References

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2016The relationship between mobile phone location sensor data and depressive symptom severity

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314 cited

2007Do ultra-short screening instruments accurately detect depression in primary care? A pooled analysis and meta-analysis of 22 studies.294 cited

2017Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety119 cited

Cited by

2023Gone Too Soon: priorities for action to prevent premature mortality associated with mental illness and mental distress124 cited
2021Cross cultural and global uses of a digital mental health app: results of focus groups with clinicians, patients and family members in India and the United States48 cited
2025Digital phenotyping for mental health based on data analytics: A systematic literature review30 cited
2020Utilizing passive sensing data to provide personalized psychological care in low-resource settings24 cited
2025Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data22 cited
2024A collaborative realist review of remote measurement technologies for depression in young people21 cited
2024Feasibility and utility of mobile health interventions for depression and anxiety in rural populations: A scoping review21 cited
2025Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review20 cited
2025"I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health15 cited
2024Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study13 cited
2023Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study11 cited
2024Integration of passive sensing technology to enhance delivery of psychological interventions for mothers with depression: the StandStrong study9 cited
2024Tracking real-time proximity in daily life: A new tool to examine social interactions9 cited
2025SmartSense-D: A safety, feasibility, and acceptability pilot study of digital phenotyping in young people with major depressive disorder6 cited
2022“Now, I have my baby so I don’t go anywhere”: A mixed method approach to the ‘everyday’ and young motherhood integrating qualitative interviews and passive digital data from mobile devices5 cited
2023A framework for precision “dosing” of mental healthcare services: algorithm development and clinical pilot3 cited