Relationship of referral source, race, and wait time on preintake attrition.

Sparks, Wendy A.; Daniels, Jeffrey A.; Johnson, Eugene R.

doi:10.1037/0735-7028.34.5.514

Cited by 29 publications

(27 citation statements)

References 24 publications

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“…With respect to treatment adherence, high treatment acceptability was indicated by a low withdrawal rate (9%). Literature points to withdrawal rates of between 36 and 47% for psychotherapy across various settings ( Garfield, 1994 , Sparks et al, 2003 , Wierzbicki and Pekarik, 1993 ), an average withdrawal rate of 19% for group treatments of depression ( Mcdermut et al, 2001 ) and comparable rates for computerised or web-based treatment programs ( Melville et al, 2010 , Waller and Gilbody, 2009 ). Whether high satisfaction and adherence can be transferred into naturalistic settings warrants future investigation.…”

Section: Discussionmentioning

confidence: 99%

Exploring blended group interventions for depression: Randomised controlled feasibility study of a blended computer- and multimedia-supported psychoeducational group intervention for adults with depressive symptoms

Schuster

Leitner

Carlbring

et al. 2017

Internet Interventions

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BackgroundBlended interventions aim to capitalise on the strengths of both computer-based and face-to-face therapy. Studies on this innovative treatment format remain scare. This especially accounts for the group treatment of depression.MethodThe present study applied eclectic psychotherapy methods to an adult sample exhibiting a variety of depressive symptoms (N = 46). Participants were recruited by a newspaper inlet and randomised either to a treatment or a waiting list condition. Computer supported components were multimedia group sessions, e-learning, online videos and worksheets, remote therapist-patient communication and online pre-post-assessment.ResultsLarge between-group effect sizes on primary outcome depressiveness (CES-D) (F(1,44) = 4.88, p = 0.032; d = 0.87) and secondary outcome personal resources (resource scales) (F(1,44) = 9.04, p = 0.004; d = 0.73 to F(1,44) = 8.82 p = 0.005, d = 1.15) were found in the intention to treat analysis (ANOVA). Subjective evaluation of the intervention revealed high treatment adherence (91%) and high perceived relevance of supportive computer and multimedia components. Participants rated computer and multimedia components comparable to treatment elements such as group interaction or specific cognitive behavioural exercises, and 25% associated the utilisation of those components with treatment success. Depressiveness and age did not predict the utilisation and the appraisal of computer and multimedia components.DiscussionResults provide preliminary support for the acceptability and feasibility of the investigated blended treatment in a group with non-specific depressive symptoms. However, small sample size and lack of diagnostics restrict generalizability. Additional research in clinical settings is needed.

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Section: Discussionmentioning

confidence: 99%

Exploring blended group interventions for depression: Randomised controlled feasibility study of a blended computer- and multimedia-supported psychoeducational group intervention for adults with depressive symptoms

Schuster

Leitner

Carlbring

et al. 2017

Internet Interventions

View full text Add to dashboard Cite

show abstract

“…Importantly, though wait-time is assumed within the clinical lore to be a barrier to service utilization and has been suggested to be so in some bivariate analyses, the full magnitude of impact after controlling for other consumer factors has not been adequately examined. As others have suggested when addressing the issue of pre-intake and early appointment attrition in mental health populations, a multi-dimensional explanatory model is likely to be necessary (Freund et al 1991;Sparks et al 2003). Additionally, wait-time may interact with certain consumer variables in its impact on attrition.…”

Section: Introductionmentioning

confidence: 96%

Clinical Intake of Child and Adolescent Consumers in a Rural Community Mental Health Center: Does Wait-time Predict Attendance?

Sherman

Barnum

Buhman-Wiggs

et al. 2008

Community Ment Health J

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This study examines the clinic variable of wait-time as a predictor of intake attendance in a rural community mental health center (CMHC) serving child and adolescent consumers. Data from 1,317 contacts seeking services for a child or adolescent (ages 2-17) were examined. In logistic regression analysis, wait-time between initial consumer contact and intake appointment was identified as a significant predictor of appointment attendance, even after accounting for consumer variables. The impact of wait-time on the likelihood of intake appointment attendance was not moderated by the urgency of consumer need. Findings elucidate the odds of intake attendance versus non-attendance associated with each day of wait-time and clarify the impact of this clinic variable on pre-intake attrition above and beyond more often studied consumer variables. These results provide information that can assist rural CMHCs in assessing the costs and benefits of steps to reduce wait-time or its impact.

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“…There is also some evidence that type of disorder may play a role (Kazdin, Mazurick, & Bass, 1993; Pelkonen et al, 2000) and that different factors may be related to attrition within different diagnostic groups (Johnson et al, 2009). In the adult attrition literature, additional risk factors have been studied, including referral source and wait time (Sparks, Daniels, & Johnson, 2003); however, these factors have not been extensively evaluated in youth mental health services.…”

Section: Introductionmentioning

confidence: 99%

Defining dropout from youth psychotherapy: how definitions shape the prevalence and predictors of attrition

Warnick

González

Weersing

et al. 2011

Child Adoles Ment Health

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Background and Aims: Attrition is a long‐standing problem in mental health centres serving youth. However, attempts to understand attrition have not consistently identified the same risk factors. The way in which attrition was defined across studies may have had a significant impact on findings. This study examines three definitions of attrition across a large sample of children and adolescents receiving outpatient mental health services, and considers the different relationships observed between the identified predictors and each definition. Method: This study examined data collected concurrently from 1098 families who received services at an urban outpatient mental health clinic (OMHC). Logistic regression was used to examine the association between identified predictor variables and attrition, using three distinct definitions of attrition based on clinician judgment, missed last appointment, and specified dose. The results of each regression analysis were qualitatively compared to assess the impact on findings observed when applying different definitions of attrition. Results: As anticipated, observed predictors of attrition varied by definition. Ethnicity predicted attrition across all definitions. Residing in a single‐caregiver household predicted attrition across two of the three definitions, while living with a non‐biological family, receiving state‐funded, low‐income insurance support, having low parent‐reported youth functioning, routine intakes (as compared to urgent intakes), and longer wait predicted attrition within only one definition. Conclusions: Rates and factors associated with attrition may vary substantially depending on how treatment attrition is defined. In the evaluation of attrition in youth mental health settings, the definition used should be clearly stated and should reflect the research question posed.

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Relationship of referral source, race, and wait time on preintake attrition.

Cited by 29 publications

References 24 publications

Exploring blended group interventions for depression: Randomised controlled feasibility study of a blended computer- and multimedia-supported psychoeducational group intervention for adults with depressive symptoms

Exploring blended group interventions for depression: Randomised controlled feasibility study of a blended computer- and multimedia-supported psychoeducational group intervention for adults with depressive symptoms

Clinical Intake of Child and Adolescent Consumers in a Rural Community Mental Health Center: Does Wait-time Predict Attendance?

Defining dropout from youth psychotherapy: how definitions shape the prevalence and predictors of attrition

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