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Psychotherapy dropouts: Differences by modality, license, and DSM‐IV diagnosis
Author(s) -
Hamilton Stacy,
Moore Adam M.,
Crane D. Russell,
Payne Scott H.
Publication year - 2011
Publication title -
journal of marital and family therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.868
H-Index - 68
eISSN - 1752-0606
pISSN - 0194-472X
DOI - 10.1111/j.1752-0606.2010.00204.x
Subject(s) - dropout (neural networks) , modalities , anxiety , mood , clinical psychology , psychiatry , treatment modality , psychology , ethnic group , mental health , medicine , social science , surgery , computer science , anthropology , machine learning , sociology
Dropouts are frequent in mental health care. Several client factors have been identified as dropout predictors, including ethnic minority status, race, low SES, and more severe symptoms. Research on therapist and process variables is less common, and findings are inconsistent. This study used administrative data for 434,317 patients from CIGNA Behavioral Health (CIGNA) to examine dropout rates by profession of provider, therapy modality, and DSM‐IV diagnosis. Results indicate that among the providers, MFTs have the lowest dropout rates in the CIGNA network. Of the therapy modalities, individual therapy is associated with lower dropout rates than family therapy. Mood and anxiety disorders have lower dropout rates than other diagnosis categories, while schizophrenia, psychotic, and substance use disorders have the highest dropout rates.