The DOI matches its Crossref record.
Access to care and cost as predictors of early psychotherapy dropout: Findings from a technology-enabled practice research group.
Overview
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Preliminary research confirms the potential of machine learning algorithms in mental health care.
“Preliminary research confirms the potential of machine learning algorithms in mental health care.20”
From Using Machine Learning to Match Clients and Therapy Providers: Evaluating Clinical Quality and Cost of Care (2025) · cites this paper as [20]
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Lee, J. L., Billovits, C., Chen, S.-Y., Wickham, R. E., Kocher, B., Chen, C. E., & Lungu, A. (2025) · Value in Health · doi:10.1016/j.jval.2025.06.002 · Cited by 8
Metadata
- Authors
- Bugatti, M., Owen, J., Reese, R. J., Coleman, J., Richardson, Z., Rasmussen, W., & Newton, D. A.
- Venue
- Practice Innovations
- Published
- 2023-03
- Volume
- 8
- Issue
- 1
- Pages
- 62-74
- ISSN
- 2377-889X (ISSN-L)
- 2377-8903
- OpenAlex
- W4315779757
- Cited by
- 13
- References
- 0
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 3 · 2023: 1
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Practice Innovations (publishedVersion)
- Funders
- SonderMind
- Topics
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- psychotherapy dropout, health care access, treatment costs, predictors of dropout, technology-enabled care
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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