Abstract
Parents seeking help for children with mental health problems are often assigned to a waiting list. We used a discrete choice conjoint experiment to model preferences for interim services that might be used while waiting for the formal assessment and treatment process to begin. A sample of 1,059 parents (92 % mothers) seeking mental health services for 4 to 16 year olds chose between hypothetical interim services composed by experimentally varying combinations of the levels of 13 interim service attributes. Latent Class analysis yielded a four–segment solution. All segments preferred interim options helping them understand how agencies work, enhancing their parenting knowledge and skill, and providing an opportunity to understand or begin dealing with their own difficulties. The Group Contact segment (35.1 %) preferred interim services in meetings with other parents, supported by phone contacts, frequent checkup calls, and wait–time updates. Virtual Contact parents (29.2 %) preferred to meet other parents in small internet chat groups supported by e–mail contact. Membership in this segment was linked to higher education and computer skills. Frequent Contact parents (24.4 %) preferred face–to–face interim services supported by weekly progress checks and wait time updates. Limited Contact parents (11.3 %) were less intent on using interim services. They preferred to pursue interim services alone, with contacts by phone, supported by fewer check–up calls and less frequent wait time updates. All segments were more likely to enroll in interim services involving their child.
This is a preview of subscription content, access via your institution.

Notes
According to Huber et al. (2007), Randomized First Choice: “. . .begins with a random utility model with variability components on both the coefficients and the residual error:
$$ {{\mathrm{U}}_{\mathrm{i}}}={{\mathrm{X}}_{\mathrm{i}}}\left( {\beta +{{\mathrm{E}}_{\mathrm{A}}}} \right)+{{\mathrm{E}}_{\mathrm{P}}} $$(1)Where:
- Ui :
-
Utility of product i for an individual or homogeneous segment at a moment in time
- Xi :
-
Row vector of attribute scores for alternative i
- β:
-
Vector of part worths
- EA :
-
Variability added to the part worths (same for all alternatives)
- EP :
-
Variability added to product i (unique for each alternative)
In the simulator, the probability of choosing alternative i in choice set S is the probability that its randomized utility is the greatest in the set, or:
$$ \Pr \left( {\mathrm{i}\left| \mathrm{S} \right.} \right)=\Pr \left( {{{\mathrm{U}}_{\mathrm{i}}}\geq {{\mathrm{U}}_{\mathrm{j}}}\;\mathrm{all}\;\mathrm{j}\in \mathrm{S}} \right) $$(2)Equation 2 is estimated by using a simulator to draw Ui from Eq. 1 and simply enumerating the probabilities”. The results of RFC simulations reflect the average of 200,000 iterations of the computational formula.
References
Andrews, R. L., & Currim, I. S. (2003). A comparison of segment retention criteria for finite mixture logit models. Journal of Marketing Research, 40, 235–243.
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: a meta-analytic review. The British Journal of Social Psychology, 40(4), 471–499.
Barkley, R. A., Shelton, T. L., Crosswait, C., Moorehouse, M., Fletcher, K., Barrett, S., et al. (2000). Multi-method psycho-educational intervention for preschool children with disruptive behavior: preliminary results at post-treatment. Journal of Child Psychology and Psychiatry, 41, 319–332.
Barrett, P. M., Duffy, A. L., Dadds, M. R., & Rapee, R. M. (2001). Cognitive-behavioral treatment of anxiety disorders in children: long-term (6-year) follow-up. Journal of Consulting and Clinical Psychology, 69, 135–141.
Bogels, S. M. (2007). Bibliotherapy is more effective than waiting list for reducing childhood anxiety disorder, but not as effective as group cognitive behavioural therapy. Evidence-Based Mental Health, 10, 22.
Boxall, P. C., & Adamowicz, W. L. (2002). Understanding heterogeneous preferences in random utility models: a latent class approach. Environmental and Resource Economics, 23, 421–446.
Boyle, M. H., Cunningham, C. E., Georgiades, K., Cullen, J., Racine, Y., & Pettingill, P. (2009). The brief child and family phone interview (BCFPI): 2. usefulness in screening for child and adolescent psychopathology. Journal of Child Psychology and Psychiatry, 50, 424–431.
Bridges, J. F. P., Hauber, A. B., Marshall, D., Lloyd, A., Prosser, L. A., Regier, D. A., et al. (2011). Conjoint analysis applications in Health—a checklist: a report of the ISPOR good research practices for conjoint analysis task force. Value in Health, 14, 403–413.
Caruso, E. M., Rahnev, D. A., & Banaji, M. R. (2009). Using conjoint analysis to detect discrimination: revealing covert preferences from overt choices. Social Cognition, 27, 128–137.
Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13, 195–212.
Coast, J. (1999). The appropriate uses of qualitative methods in health economics. Health Economics, 8(4), 345–353.
Cohen-Charash, Y., & Spector, P. E. (2001). The role of justice in organizations: a meta-analysis. Organizational Behavior and Human Decision Processes, 86, 278–321.
Corkum, P., Rimer, P., & Schachar, R. (1999). Parental knowledge of attention-deficit hyperactivity disorder and opinions of treatment options: impact on enrollment and adherence to a 12-month treatment trial. Canadian Journal of Psychiatry, 44, 1043–1048.
Cotten, S. R., & Gupta, S. S. (2004). Characteristics of online and offline health information seekers and factors that discriminate between them. Social Science & Medicine, 59, 1795–1806.
Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed method approaches. Thousand Oaks: Sage Publications Inc.
Cunningham, C. E., Bremner, R., & Boyle, M. (1995). Large group community-based parenting programs for families of preschoolers at risk for disruptive behaviour disorders: utilization, cost effectiveness, and outcome. Journal of Child Psychology and Psychiatry, 36, 1141–1159.
Cunningham, C. E., Boyle, M., Offord, D., Racine, Y., Hundert, J., Secord, M., et al. (2000). Tri-ministry study: correlates of school-based parenting course utilization. Journal of Consulting and Clinical Psychology, 68, 928–933.
Cunningham, C. E., Deal, K., Rimas, H., Buchanan, D. H., Gold, M., Sdao-Jarvie, K., et al. (2008). Modeling the information preferences of parents of children with mental health problems: a discrete choice conjoint experiment. Journal of Abnormal Child Psychology, 36, 1128–1138.
Cunningham, C. E., Boyle, M. H., Hong, S., Pettingill, P., & Bohaychuk, D. (2009). The brief child and family phone interview (BCFPI): 1. rationale, development, and description of a computerized children’s mental health intake and outcome assessment tool. Journal of Child Psychology and Psychiatry, 50, 416–423.
Cunningham, C. E., Deal, K., Rimas, H., Chen, Y., Buchanan, D. H., & Sdao-Jarvie, K. (2009). Providing information to parents of children with mental health problems: a discrete choice conjoint analysis of professional preferences. Journal of Abnormal Child Psychology, 37, 1089–1102.
Cunningham, C. E., McGrath, P., Chen, Y., Graham, R., Lipman, E., Corkum, P. (2013) Waiting for children’s mental health services: A qualitative analysis of factors influencing the utilization and outcome of interim service options. Unpublished data
Evans, J. S. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59, 255–278.
Eyberg, S. M., Boggs, S. R., & Algina, J. (1995). Parent–child interaction therapy: a psychosocial model for the treatment of young children with conduct problem behavior and their families. Psychopharmacology Bulletin, 31, 83–91.
Griffiths, K. M., Farrer, L., & Christensen, H. (2010). The efficacy of internet interventions for depression and anxiety disorders: a review of randomised controlled trials. The Medical Journal of Australia, 192, S4–S11.
Gustafsson, A., Herrmann, A., & Huber, F. (2007). Conjoint analysis as an instrument of market research practice. In A. Gustafsson, A. Herrmann, & F. Huber (Eds.), Conjoint measurement (pp. 3–34). Berlin: Springer.
Hahlweg, K., Heinrichs, N., Kuschel, A., & Feldmann, M. (2008). Therapist-assisted, self-administered bibliotherapy to enhance parental competence: short- and long-term effects. Behavior Modification, 32, 659–681.
Huang, G. H., & Bandeen-Roche, K. (2004). Building an identifiable latent class model with covariate effects on underlying and measured variables. Psychometrika, 69, 5–32.
Huber, J., Orme, B. K., & Miller, R. (2007). Dealing with product similarity in conjoint simulations. In A. Gustafsson, A. Herrmann, & F. Huber (Eds.), Conjoint measurement: Methods and applications (4th ed., pp. 347–362). New York: Springer.
Jensen, P. S., Goldman, E., Offord, D., Costello, E. J., Friedman, R., Huff, B., et al. (2011). Overlooked and underserved: “action signs” for identifying children with unmet mental health needs. Pediatrics, 128, 970–979.
Johnston, C., Scoular, D. J., & Ohan, J. L. (2004). Mothers’ reports of parenting in families of children with symptoms of attention-deficit/hyperactivity disorder: relations to impression management. Child & Family Behavior Therapy, 26, 45–61.
Johnston, C., Seipp, C., Hommersen, P., Hoza, B., & Fine, S. (2005). Treatment choices and experiences in attention deficit and hyperactivity disorder: relations to parents’ beliefs and attributions. Child: Care, Health and Development, 31, 669.
Kaminski, J. W., Valle, L. A., Filene, J. H., & Boyle, C. L. (2008). A meta-analytic review of components associated with parent training program effectiveness. Journal of Abnormal Child Psychology, 36, 567–589.
Kazdin, A. E., & Wassell, G. (1999). Barriers to treatment participation and therapeutic change among children referred for conduct disorder. Journal of Clinical Child Psychology, 28, 160–172.
Koch-Weser, S., Bradshaw, Y. S., Gualtieri, L., & Gallagher, S. S. (2010). The internet as a health information source: findings from the 2007 health information national trends survey and implications for health communication. Journal of Health Communication, 15, 279–293.
Lanza, S. T., & Rhoades, B. L. (2011). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 1–12.
Louviere, J. J., Hensher, D. A., & Swait, J. D. (2007). Conjoint preference elicitation methods in the broader context of random utility theory preference elicitation methods. In A. Gustafsson, A. Herrmann, & F. Huber (Eds.), Conjoint measurement–methods and applications (4th ed., pp. 167–197). New York: Springer.
McGrath, P. J., Lingley-Pottie, P., Thurston, C., MacLean, C., Cunningham, C., Waschbusch, D. A., et al. (2011). Telephone-based mental health interventions for child disruptive behavior or anxiety disorders: randomized trials and overall analysis. Journal of the American Academy of Child and Adolescent Psychiatry, 50, 1162–1172.
McKay, M. M., & Bannon, W. M., Jr. (2004). Engaging families in child mental health services. Child and Adolescent Psychiatric Clinics of North America, 13, 905–921.
Mendenhall, A. N., Fristad, M. A., & Early, T. J. (2009). Factors influencing service utilization and mood symptom severity in children with mood disorders: effects of multifamily psychoeducation groups (MFPGs). Journal of Consulting and Clinical Psychology, 77, 463–473.
Montgomery, P., Bjornstad, G., Dennis, J. (2008). Media-based behavioural treatments for behavioural problems in children. Cochrane Database of Systematic Reviews (Online), 1.
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Structural Equation Modeling, 14, 535–569.
Orme, B. K. (2009). Getting started with conjoint analysis: Strategies for product design and pricing research (2nd ed.). Madison: Research Publishers.
Orme, B. K., & Huber, J. (2000). Improving the value of conjoint simulations. Marketing Research, 12, 12–20.
Owens, P. L., Hoagwood, K., Horwitz, S. M., Leaf, P. J., Poduska, J. M., Kellam, S. G., et al. (2002). Barriers to children’s mental health services. Journal of the American Academy of Child and Adolescent Psychiatry, 41, 731–738.
Patterson, M., & Chrzan, K. (2003). Partial profile discrete choice: What’s the optimal number of attributes? 10th Sawtooth Software Conference Proceedings, San Antonio, TX. 173–185.
Phillips, K. A., Johnson, F. R., & Maddala, T. (2002). Measuring what people value: a comparison of “attitude” and “preference” surveys. Health Services Research, 37, 1659–1679.
Prinz, R. J., & Miller, G. E. (1994). Family-based treatment for childhood antisocial behavior: experimental influences on dropout and engagement. Journal of Consulting and Clinical Psychology, 62, 645–650.
Reid, G. J., & Brown, J. B. (2008). Money, case complexity, and wait lists: perspectives on problems and solutions at children’s mental health centers in Ontario. The Journal of Behavioral Health Services & Research, 35, 334–346.
Reid, G. J., Cunningham, C. E., Tobon, J. I., Evans, B., Stewart, M., Brown, J. B., et al. (2011). Help-seeking for children with mental health problems: parents’ efforts and experiences. Administration and Policy in Mental Health, 38, 384–397.
Ryan, M., Gerard, K., & Amaya-Amaya, M. (2007). Using discrete choice experiments to value health and health care. Netherlands: Springer.
Sawtooth Software Inc. (2008). CBC 6.0 technical paper. Sawtooth Software Technical Paper Series, 1, 1–27.
Shah, A. K., & Oppenheimer, D. M. (2008). Heuristics made easy: an effort-reduction framework. Psychological Bulletin, 134, 207–222.
Shanley, D. C., Reid, G. J., & Evans, B. (2008). How parents seek help for children with mental health problems. Administration and Policy in Mental Health, 35, 135–146.
Swartz, H. A., Shear, M. K., Wren, F. J., Greeno, C. G., Sales, E., Sullivan, B. K., et al. (2005). Depression and anxiety among mothers who bring their children to a pediatric mental health clinic. Psychiatric Services, 56, 1077–1083.
Swift, J. K., Callahan, J. L., & Vollmer, B. M. (2011). Preferences. Journal of Clinical Psychology, 67, 155–165.
Taylor, T. K., Webster-Stratton, C., Feil, E. G., Broadbent, B., Widdop, C. S., & Severson, H. H. (2008). Computer-based intervention with coaching: an example using the incredible years program. Cognitive Behaviour Therapy, 37, 233–246.
Tourangeau, R., & Yan, T. (2007). Sensitive questions in surveys. Psychological Bulletin, 133, 859–883.
Vermunt, J. K. (2010). Latent class modeling with covariates: two improved three-step approaches. Political Analysis, 18, 450–469.
Vermunt, J. K., & Magidson, J. (2005a). Latent GOLD® choice 4.0 user’s manual. Belmont: Statistical Innovations Inc.
Vermunt, J. K., & Magidson, J. (2005b). Technical guide for latent GOLD 4.0: Basic and advanced. Belmont: Statistical Innovations Inc.
Vick, S., & Scott, A. (1998). Agency in health care. Examining patients’ preferences for attributes of the doctor-patient relationship. Journal of Health Economics, 17, 587–605.
Waschbusch, D. A., Cunningham, C. E., Pelham, W. E., Jr., Rimas, H., Greiner, A. R., Gnagy, E. M., et al. (2011). A discrete choice conjoint experiment to evaluate preferences for treatment of young, medication naive children with ADHD. Journal of Clinical Child and Adolescent Psychology, 40, 546–561.
Webster-Stratton, C. (1994). Advancing videotape parent training: a comparison study. Journal of Consulting and Clinical Psychology, 62, 583–593.
Werba, B. E., Eyberg, S. M., Boggs, S. R., & Algina, J. (2006). Predicting outcome in parent–child interaction therapy: success and attrition. Behavior Modification, 30, 618–646.
Yang, C. C., & Yang, C. C. (2007). Separating latent classes by information criteria. Journal of Classification, 24(2), 183–203.
Author information
Authors and Affiliations
Corresponding author
Additional information
This project was funded by the Canadian Institutes of Health Research. Charles Cunningham’s participation was supported by the Jack Laidlaw Chair in Patient-Centred Health at McMaster University Faculty of Health Sciences. Patrick McGrath was supported by a Canada Research Chair. Graham Reid was supported by the Children’s Health Foundation. The authors acknowledge the research support provided by Stephanie Mielko, Amanda Holding, Sophia Fanourgiakis, Matt Horner, Kayley Brunsdon, and Lauren Mak. David Streiner and Richard McCollough provided helpful statistical consultation.
Rights and permissions
About this article
Cite this article
Cunningham, C.E., Chen, Y., Deal, K. et al. The Interim Service Preferences of Parents Waiting for Children’s Mental Health Treatment: A Discrete Choice Conjoint Experiment. J Abnorm Child Psychol 41, 865–877 (2013). https://doi.org/10.1007/s10802-013-9728-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10802-013-9728-x
Keywords
- Waiting lists
- Children’s mental health
- Parents
- Preferences
- Discrete choice conjoint experiment