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Identifying peaks in attrition after clients initiate mental health treatment in a university training clinic.
Author(s) -
Anne C. Krendl,
Lorenzo LorenzoLuaces
Publication year - 2022
Publication title -
psychological services
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.855
H-Index - 45
eISSN - 1939-148X
pISSN - 1541-1559
DOI - 10.1037/ser0000469
Subject(s) - attrition , mental health , psycinfo , medicine , psychiatry , psychology , prospective cohort study , clinical psychology , medline , dentistry , political science , law , surgery
Mental health treatment noncompliance (preintake attrition, premature termination) has serious consequences both for mental health providers, as well as for individuals suffering from mental illness. However, prior work has examined preintake attrition and premature treatment termination separately, which limits our ability to determine when attrition is highest (before or after intake), and whether different factors predict attrition throughout the treatment process. Moreover, preintake attrition has been conceptualized as failing to attend a scheduled intake, thereby overlooking potential attrition that may occur earlier. The current investigation sought to fill these gaps using data from a university training mental health clinic. Of the 264 individuals who initiated contact with the clinic between 2012 and 2017, only about a quarter of individuals successfully completed therapy. Nearly 60% of prospective clients who contacted the clinic did not schedule intake. Although 10% of attrition occurred before the clinic could even recontact prospective clients, being placed on a waitlist accounted for the most attrition. Indeed, nearly two thirds of individuals placed on the waitlist did not schedule an intake, accounting for 30% of the overall sample. Client factors (age, previous psychotherapy engagement) did not predict preintake attrition, but wait times did. Having just one "no show" for an appointment predicted premature termination, decreasing the likelihood of completion to one in four. Together, these findings suggest that attrition was the highest prior to scheduling intake, and different factors predicted preintake attrition and premature termination. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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