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Presented at the 21st Annual Research Conference

How to Examine Patterns of Service Utilization within Children’s Mental Health Agencies

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Presenting: Graham Reid; Juliana Tobon

All Authors for this paper: Graham Reid; Juliana Tobon; Barrie Evans; Alan Leschied; Jeff St. Pierre; Vicky Wolfe

Presentation Type: element of symposium

Synopsis: A gap exists between our existing acute-illness models of care and the natural history of psychopathology, which shows problems such as Attention-Deficit Disorder are chronic conditions. Analyses of administrative records from one children’s mental center found four service-use patterns: minimal care (49%), acute (27%), intensive (15%), and on-going (9%). These analyses can help agencies refine services to better meet the needs of their clients and start a process of developing new models of service delivery.

Using Family and Patient Input to Improve Consumer Health Information in Child & Youth Mental Health

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Presenting: Don Buchanan

All Authors for this paper: Don Buchanan; Charles Cunningham; Ken Deal

Presentation Type: element of symposium

Synopsis: A promising methodology for determining consumer preferences is choice-based conjoint surveys, which are used widely in marketing. An application of this methodology with 300 parents regarding their preferences for consumer health information, another 300 parents regarding their preferences for parenting courses, and 1200 parents of children with mental health problems regarding their preferences for information. We will focus on how this methodology can be utilized to develop or redesign information products and parenting courses.

How can Data Collection and Analysis Choices Aid Outcome Evaluations?

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Presenting: Jeff St. Pierre

All Authors for this paper: Jeff St. Pierre; Steve Cook; Alan Leschied; Christine Cullion; Andrew Johnson

Presentation Type: element of symposium

Synopsis: Outcome data collected over three years at multiple time points were evaluated for 94 children/youth with extreme socio-emotional dysfunction. Intensive treatment led to a significant reduction in parent report of child symptoms and overall maladjustment. Through non-linear regression analyses, we highlight the importance of: (a) long-term follow-up, (b) obtaining multiple data points, and (c) choosing client report methods that reduce attrition. It is concluded that traditional pre-post evaluations restrict our understanding of service needs.

Methods for Understanding Parent Preferences, Patient Utilization and Outcomes

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Session Number: 11 Room: Salon C

Presenting: Graham Reid; Melanie Barwick

All Authors for this paper: Graham Reid; Melanie Barwick

Presentation Type: brief symposium

Synopsis: There are a number of different steps children and youth, and their families go through in their involvement with the mental health system. Understanding these steps requires different methodological approaches and accessing different sources of information. We present a series of studies relevant to these steps. First, Donald Buchanan of McMaster University will present a method for using family and patient input to improve consumer health information. Choice-based conjoint analysis, a methodology widely in marketing research, is applied in determining parents’ preferences for parenting courses and information resources. Second, Graham Reid of The University of Western Ontario will present methods for examining patterns of services utilization within children’s mental health agencies. This study applied multi-level latent class cluster analysis as a new method of examining visit data, which are routinely collected but rarely analyzed. Finally, Jeff St. Pierre of the Child and Parent Resource Institute will present longitudinal outcome data for children and youth with extreme socio-emotional dysfunction examined using two different analytic approaches. This study showed how non-linear regression models can overcome limitations of traditional pre-post measurement evaluations, and lead to different policy implications. These three papers present various ways to analyze data derived from parent ratings and administrative records. Presentations will highlight data analytic choices and methods, and demonstrate their application using data from families involved with the children’s mental health system.

Date:

Session Time: 1:15 PM - 2:15 PM