Skip to main content
Log in

Parents' Preferences for School- and Community-Based Services for Children at Risk for ADHD

  • Original Paper
  • Published:
School Mental Health Aims and scope Submit manuscript

Abstract

This study used conjoint analysis, trade-off methodology employed by marketing researchers and health economists, to examine preferences of parents for school- and community-based interventions for childhood ADHD. Participants were 29 mothers (86.2% Caucasian) of boys aged 5–13 years with or at risk of ADHD. Mothers completed a conjoint survey that examined trade-offs across 15 attributes of service content (e.g., materials, resources), process (e.g., time demand, format/delivery mode), and outcome (e.g., improvement in children's behavioral functioning). Findings suggest that parents preferred services maximizing children's behavioral and social outcomes (relative to family functioning). Parents were willing to give up services with desirable delivery features (such as daily homeschool notes and child's frequent participation in therapy) for programs optimizing outcomes. Simulation analyses, forecasting tools that predict how respondents would behave in the real world, revealed that 62.1% of parents were predicted to prefer a standard, evidence-informed school-based service involving daily teacher involvement and monthly parent involvement, while 37.9% of parents were predicted to use a standard, evidence-informed community-based service involving daily parent involvement and monthly teacher involvement. Findings from this study show that parents value improved social and behavioral outcomes more than desirable service delivery features. However, results suggest that if the treatment package includes school-based services in which there is greater teacher involvement and less parent involvement, a majority of parents prefer school services, especially if they involve children's ongoing use of self-control strategies. Results suggest ways in which the delivery of effective treatments needs to be altered to make them more palatable and acceptable by parents. Other implications for school-based practitioners are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Although the term “intervention” may more commonly used by school mental health professionals, it is our impression that “therapy” is more commonly used among parents. As such, we refer to “intervention” in the text of this manuscript to appeal to the readership of this journal. However, we asked parents in the survey about their preferences for their child's “therapy.”

  2. We use the term “prefer” instead of “predicted to prefer,” language used by marketing researchers (Orme, 2013), here and throughout the manuscript to enhance readability of the text.

References

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders, fifth edition (DSM-5). ISBN 978-0-89042-554-1.

  • Andrews, J., Andrews, M., & Shearer, W. (1989). Parents' attitudes toward family involvement in speech-language services. Language, Speech, and Hearing Services in the Schools, 20(4), 381–390.

    Article  Google Scholar 

  • Atkins, M. S., Frazier, S. L., Birman, D., Abdul-Adil, J., Jackson, M., Graczyk, P. A., et al. (2006). School-based mental health services for children living in high poverty urban communities. Administration and Policy in Mental Health and Mental Health Services Research, 33, 146–159.

    Article  Google Scholar 

  • Barkley, R. A., Murphy, K. R., & Fischer, M. (2008). Adult ADHD: What the science says. New York: Guilford Press.

    Google Scholar 

  • Burns, B. J., Costello, E. J., Angold, A., Tweed, D., Stangl, D., Farmer, E. M., & Erkanli, A. (1995). Children’s mental health service use across service sectors. Health Affairs, 14, 147–159.

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. (2010). The association between school-based physical activity, including physical education, and academic performance. Atlanta: U.S. Department of Health and Human Services.

    Google Scholar 

  • Chacko, A., Wymbs, B., Wymbs, F., Pelham, W., Swanger-Gagne, M., Girio, E., et al. (2009). Enhancing traditional behavioral parent training for single mothers of children with ADHD. Journal of Clinical Child & Adolescent Psychology, 38(2), 206–218.

    Article  Google Scholar 

  • Chronis, A., Chacko, A., Fabiano, G., Wymbs, B., & Pelham, W. (2004). Enhancements to the behavioral parent training paradigm for families of children with ADHD: Review and future directions. Clinical Child and Family Psychology Review, 7, 1–27.

    Article  Google Scholar 

  • Colton, D., & Sheridan, S. (1998). Enhancing the play behaviors of boys with attention deficit hyperactivity disorder. Journal of Educational and Psychological Consultation, 9(1), 3–28.

    Article  Google Scholar 

  • Conners, C. K. (1997). Conners' rating scales—revised: Short form. North Tonawanda, NY: Multi-Heath Systems.

    Google Scholar 

  • Cunningham, C. E., Chen, Y., Deal, K., Rimas, H., McGrath, P., Reid, G., et al. (2013). The interim services preferences of parents waiting for children's mental health treatment: A discrete-choice conjoint experiment. Journal of Abnormal Child Psychology. https://doi.org/10.1007/s10802-013-9728-x.

    Article  PubMed  Google Scholar 

  • Cunningham, C. E., Deal, K., Rimas, H., Gold, M., Sdao-Jarvie, K., & Boyle, M. (2008). Modeling the information transfer preferences of parents of children with mental health problems: A discrete choice conjoint experiment. Journal of Abnormal Child Psychology, 36, 1123–1138.

    Article  Google Scholar 

  • Cunningham, C. E., Rimas, H., Chen, Y., Deal, K., McGrath, P., Lingley-Pottie, P., et al. (2015). Modeling parenting programs as an interim service for families waiting for children’s mental health treatment. Journal of Clinical Child & Adolescent Psychology, 44(4), 616–629. https://doi.org/10.1080/15374416.2014.88866.

    Article  Google Scholar 

  • Domitrovich, C., Bradshaw, C., Greenberg, M., Embry, D., Poduska, J., & Ialongo, N. (2010). Integrated models of school-based prevention: Logic and theory. Psychology in the Schools, 47(1), 71–88.

    PubMed  PubMed Central  Google Scholar 

  • DosReis, S., Xinyi, N., Frosch, E., Reeves, G., Cunningham, C., & Bridges, J. (2015). Using best-worst scaling to measure caregiver preferences for managing their child's ADHD. The Patient, 8(5), 423–431.

    Article  Google Scholar 

  • Evans, S., Owens, J., & Bunford, N. (2014a). Evidence-based psychosocial treatments for children and adolescents with attention-deficit/hyperactivity disorder. Journal of Clinical Child and Adolescent Psychology, 43(4), 527–551. https://doi.org/10.1080/15374416.2013.850700.

    Article  PubMed  Google Scholar 

  • Evans, S. W., Rybak, T., Strickland, H., & Owens, J. S. (2014b). The role of school mental health models in preventing and addressing children's emotional and behavioral problems. In H. M. Walker & F. M. Gresham (Eds.), Handbook of evidence-based practices for students having emotional and behavioral disorders. New York, NY: Guilford Press.

    Google Scholar 

  • Fabiano, G., Pelham, W., Waschbusch, D., Gnagy, E., Lahey, B., Chronis, A., et al. (2006). A practical measure of impairment: Psychometric properties of the impairment rating scale in samples of children with attention deficit hyperactivity disorder and two school-based samples. Journal of Clinical Child and Adolescent Psychology, 35, 369–385.

    Article  Google Scholar 

  • Girio, E., & Owens, J. (2008). Teacher acceptability of evidence-based and promising treatments for children with Attention Deficit/Hyperactivity Disorder (ADHD). School Mental Health, 1, 16–25.

    Article  Google Scholar 

  • Goyette, C., Conners, C., & Ulrich, R. (1978). Normative data on revised Conners parent and teacher rating scales. Journal of Abnormal Child Psychology, 6, 221–236.

    Article  Google Scholar 

  • Hainmueller, J., Hangartner, D., & Yamamoto, T. (2014). Validating vignette and conjoint survey experiments against real-world behavior. Proceedings of the National Academy of Sciences, 112(8), 2395–2400.

    Article  Google Scholar 

  • Harrison, J., Bunford, N., Evans, S., & Owens, J. (2013). Educational accommodations for students with behavioral challenges: A systematic review of the literature. Review of Educational Research, 83(4), 551–597.

    Article  Google Scholar 

  • Hart, K., Fabiano, G., Evans, S., Manos, M., Hannah, J., & Vujnovic, R. (2016). Elementary and middle school teachers' self-reported use of positive behavioral supports for children with ADHD: A national survey. Journal of Emotional and Behavioral Problems. https://doi.org/10.1177/1063426616681980.

    Article  Google Scholar 

  • Heubeck, B., Otte, T., & Lauth, G. (2016). Consumer evaluation and satisfaction with individual versus group parent training for children with hyperkinetic disorder (HKD). British Journal of Clinical Psychology, 55, 305–319.

    Article  Google Scholar 

  • Hoagwood, K. (2005). Family-based services in children's mental health. Journal of Child Psychology and Psychiatry, 46(7), 690–713.

    Article  Google Scholar 

  • Hoagwood, K. E., Cavaleri, M., Olin, S. S., Burns, B. J., Gruttadaro, J. D., & Hughes, R. (2010). Family support in children's mental health: A review and synthesis. Clinical Child and Family Psychology Review, 13, 1–45.

    Article  Google Scholar 

  • Huber, J., Orme, B., & Miller, R. (2007). Dealing with product similarity in conjoint simulators. In A. Gustafsson, A. Hermann & F. Huber (Eds.), Conjoint measurement: Methods and applications (4th ed., pp. 347–352). New York: Springer.

    Chapter  Google Scholar 

  • Kataoka, S. H., Zhang, L., & Wells, K. B. (2002). Unmet need for mental health care among U.S. children: Variation by ethnicity and insurance status. American Journal of Psychiatry, 159, 1548–1555.

    Article  Google Scholar 

  • Kazdin, A. (1996). Dropping out of child psychotherapy: Issues for research and implications for practice. Child Clinical Psychology and Psychiatry, 1, 133–156.

    Article  Google Scholar 

  • Kurzban, R., & Weeden, J. (2007). Do advertised preferences predict the behavior of speed daters? Personal Relationships, 14, 623–632.

    Article  Google Scholar 

  • Lancsar, E., & Louviere, J. (2008). Conducting discrete choice experiments to inform healthcare decision-making: A users' guide. Pharmacoeconomics, 26(8), 661–677.

    Article  Google Scholar 

  • Middleman, A., & Tung, J. (2011). School-located immunization programs: Do parental preferences predict behavior? Vaccine, 29(19), 3513–3516.

    Article  Google Scholar 

  • Miller, G., & Prinz, R. (1990). Enhancement of social learning family interventions for childhood conduct disorder. Psychological Bulletin, 108, 291–307.

    Article  Google Scholar 

  • Morrissey-Kane, E., & Prinz, R. J. (1999). Engagement in child and adolescent treatment: The role of parental cognitions and attributions. Clinical Child and Family Psychology Review, 2, 183–198.

    Article  Google Scholar 

  • Orme, B. K. (2013). Getting started with conjoint analysis: Strategies for product design and pricing research (3rd ed.). Madison: Research Publishers.

    Google Scholar 

  • Owens, P., Hoagwood, K., Horwitz, S., Leaf, P., Poduska, J., Kellam, S., et al. (2002). Barriers to children's mental health services. Journal of the American Academy of Child and Adolescent Psychiatry, 41, 731–738.

    Article  Google Scholar 

  • Owens, J., Holdaway, A., Smith, J., Evans, S., Himawan, L., Coles, E., et al. (2017). Rates of common classroom behavior management strategies and their associations with challenging student behavior in elementary school. Journal of Emotional and Behavioral Disorders. https://doi.org/10.1177/106342661771250.

    Article  Google Scholar 

  • Owens, J., Murphy, C., Richerson, L., Girio, E., & Himawan, L. (2008). Science to practice in underserved communities: The effectiveness of school mental health programming. Journal of Clinical Child and Adolescent Psychology, 37(2), 434–447.

    Article  Google Scholar 

  • Page, T., Pelham, W., III, Fabiano, G., Greiner, A., Gnagy, E., Hart, K., et al. (2016). Comparative cost analysis of sequential, adaptive, behavioral, pharmacological, and combined treatments for childhood ADHD. Journal of Clinical Child & Adolescent Psychology, 45(4), 416–427. https://doi.org/10.1080/15374416.2015.1055859.

    Article  Google Scholar 

  • Patterson, M., & Chrzan, K. (2004). Partial profile discrete choice: What's the optimal number of attributes? (pp. 173–185). In 2003 Sawtooth Software conference proceedings. San Antonio, TX.

  • Pelham, W., & Fabiano, G. (2008). Evidence-based psychosocial treatments for attention-deficit/hyperactivity disorder. Journal of Child and Adolescent Psychology, 37, 184–214.

    Article  Google Scholar 

  • Pelham, W., Fabiano, G., & Massetti, G. (2005). Evidence-based assessment of ADHD in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34(3), 449–476.

    Article  Google Scholar 

  • Pelham, W. E., Foster, M., & Robb, J. (2007). The economic impact of attention-deficit/hyperactivity disorder in children and adolescents. Ambulatory Pediatrics, 7(S), 121–131.

    Article  Google Scholar 

  • Pelham, W. E., Gnagy, E. M., Greenslade, K. E., & Milich, R. (1992). Teacher ratings of DSM-III-R symptoms for the disruptive behavior disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 31, 210–218.

    Article  Google Scholar 

  • Pelham, W., Milich, R., Murphy, D., & Murphy, H. (1989). Normative data on the IOWA Conners teacher rating scale. Journal of Clinical Child Psychology, 18, 259–262.

    Article  Google Scholar 

  • Pelham, W., Wheeler, T., & Chronis, A. (1998). Empirically supported treatments for attention-deficit hyperactivity disorder. Journal of Clinical Child Psychology, 27, 190–205.

    Article  Google Scholar 

  • Phillips, K., Johnson, F., & Maddala, T. (2002). Measuring what people value: A comparison of “attitude” and “preference” surveys. Health Services Research, 37, 1659–1679.

    Article  Google Scholar 

  • Prinz, R. J., & Miller, G. E. (1996). Parental engagement in interventions for children at risk for conduct disorder. In R. Dev Peters & R. J. McMahon (Eds.), Preventing childhood conduct disorders, substance abuse and delinquency (pp. 161–183). Thousand Oaks, CA: Sage.

    Chapter  Google Scholar 

  • Reisberg, D. (2006). Cognition: Exploring the science of the mind. New York: Norton.

    Google Scholar 

  • Robb, J., Sibley, M., Pelham, W. E., Foster, M., Molina, B., Gnagy, E. M., et al. (2011). The estimated cost of ADHD to the US Education System. School Mental Health, 3(3), 169–177.

    Article  Google Scholar 

  • Ryan, M., & Gerard, K. (2003). Using discrete choice experiments to value health care: Current practice and future prospects. Applied Health Economics and Policy Analysis, 2, 55–64.

    Google Scholar 

  • Shelton, T., Barkley, R., Crosswait, C., Moorehouse, M., Fletcher, K., Barrett, S., et al. (2000). Multimethod psychoeducational intervention for preschool children with disruptive behavior: Two-year post-treatment follow-up. Journal of Abnormal Child Psychology, 28(3), 253–266.

    Article  Google Scholar 

  • Smith, E., Koerting, J., Latter, S., Knowles, M., McCann, D. C., Thompson, M., et al. (2015). Overcoming barriers to effective early parenting interventions for attention-deficit hyperactivity disorder (ADHD): Parent and practitioner views. Child: Care, Health and Development, 41(1), 93–102.

    Google Scholar 

  • Spiel, C., Evans, S., & Langberg, J. (2014). Evaluating the content of Individualized Education Programs and 504 Plans of young adolescents with attention deficit/hyperactivity disorder. School Psychology Quarterly, 29(4), 452–468.

    Article  Google Scholar 

  • Vannest, K. J., Davis, J. L., Davis, C. R., Mason, B. A., & Burke, M. D. (2010). Effective intervention for behavior with a daily behavior report card: A meta-analysis. School Psychology Review, 39(4), 654.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Waschbusch, D. A., Cunningham, C. E., Pelham, W. E., Rimas, H. L., Greiner, A. R., Gnagy, E. M., et al. (2011). A discrete choice conjoint experiment to evaluate parent preferences for treatment of young, medication naïve children with ADHD. Journal of Clinical Child and Adolescent Psychology, 40(4), 546–561. https://doi.org/10.1080/15374416.2011.581617.

    Article  PubMed  PubMed Central  Google Scholar 

  • Waschbusch, D., & Willoughby, M. (2007). Parent and teacher ratings on the IOWA Conners Rating Scale. Journal of Psychopathology and Behavioral Assessment, 30(3), 180–192. https://doi.org/10.1007/s10862-007-9064-y.

    Article  Google Scholar 

  • Watabe, Y., Stewart, J., Owens, J., Andrews, N., & Griffeth, J. (2013). Effectiveness and sustainability of school-based interventions for youth with or at risk for ADHD. School Mental Health, 5, 83–95.

    Article  Google Scholar 

  • Wright, K., Waschbusch, D., & Frankland, B. (2007). Combining data from parent ratings and parent interview when assessing ADHD. Journal of Psychopathology and Behavioral Assessment, 29(3), 141–148. https://doi.org/10.1007/s10862-006-9039-4.

    Article  Google Scholar 

  • Wymbs, F., Chen, Y., Rimas, H., Deal, K., Waschbusch, D., & Pelham, W. (2017). Examining parents' preferences for group parent training when individual parent training is unavailable. Journal of Child and Family Studies, 26(3), 888–904.

    Article  Google Scholar 

  • Wymbs, F., Cunningham, C., Chen, Y., Rimas, H., Deal, K., Waschbusch, D., et al. (2016). Examining parents' preferences for group versus individual parent training programs versus a minimal information alternative for children with ADHD symptoms using a discrete choice conjoint experiment. Journal of Clinical Child and Adolescent Psychology, 45(5), 614–631.

    Article  Google Scholar 

  • Xinyi, N., Bridges, J., Ross, M., Frosch, E., Reeves, G., Cunningham, C., et al. (2016). A latent class analysis to identify variation in caregiver preferences for their child's attention-deficit/hyperactivity disorder: Do stated preferences match current treatment? The Patient: Patient-Centered Outcomes Research, 10, 251–262.

    Google Scholar 

Download references

Acknowledgements

The author would like to extend gratitude to the parents who participated in the project, the graduate students who coded information from focus groups, and the research assistants and camp staff who helped administer the survey. The author would also like to thank the consultants at Sawtooth Software for their input on statistical analysis. The author would also like to thank Steven W. Evans, Julie Owens, Brian Wymbs, and Theresa Egan for providing feedback on the manuscript.

Funding

This study was funded by the Ohio University Research Committee.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Frances A. Wymbs.

Ethics declarations

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wymbs, F.A. Parents' Preferences for School- and Community-Based Services for Children at Risk for ADHD. School Mental Health 10, 386–401 (2018). https://doi.org/10.1007/s12310-018-9258-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12310-018-9258-3

Keywords

Navigation