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Understanding perceived barriers to treatment from web browsing behavior
Stephen M Schueller1, Diana M Steakley-Freeman2, David C Mohr2
1Department of Psychological Science, University of California, Irvine, Irvine, CA, USA; Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
Journal of Affective Disorders
|February 18, 2020
Summary
Online browsing history can predict barriers to psychological treatment. This finding helps identify individuals who need support in accessing mental healthcare services.
Area of Science:
- Digital mental health
- Computational psychiatry
Background:
- Growing digital data offers opportunities for mental health research.
- Previous studies explored technology data for mental health detection.
Purpose of the Study:
- To investigate if internet browsing history can predict perceived barriers to psychological treatment.
- To enhance understanding of how digital footprints relate to mental healthcare access barriers.
Main Methods:
- Collected 10 days of browsing history data from 255 participants.
- Administered assessments for Perceived Barriers to Psychological Treatments and depression (Patient Health Questionnaire).
Main Results:
- Browsing histories achieved high classification performance for individuals with high perceived barriers (AUC average of 0.86).
- Demonstrated the potential of browsing data in identifying treatment access challenges.
Conclusions:
- Internet browsing history shows promise in classifying barriers to seeking psychological treatment.
- Identifying individuals with perceived barriers is crucial for developing targeted interventions and improving treatment accessibility.
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