Abstract
Incorporating participant preferences into intervention decision-making may optimize health outcomes by improving participant engagement. We describe the rationale for a preference-based approach to the personalization of community-based interventions. Compensating for the limitations of traditional randomized controlled trials (RCTs) and partially randomized preference trials (PRPTs), we employed a doubly randomized preference trial in the present study. Families (N = 129) presenting to community mental health clinics for child conduct problems were randomized to choice or no-choice conditions. Within each condition, parents were again randomized, or offered choices between home- and clinic-based, individual and group versions of a parent training program or services-as-usual. Participants were assessed at baseline, and treatment retention data were gathered. Families assigned to the choice condition were significantly less likely to drop out of treatment than those in the no-choice condition. In the choice condition, in-home treatment was the preferred modality, and across conditions, families were less likely to be retained in group and clinic modalities. Research on preferences may boost participant engagement and inform shared decision-making.
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Notes
The missing data (23 %) were due to missing values in demographics (family income, parent age, and ethnicity) from families who did not complete the demographics form. Therefore, methods to impute missing values were not used in the study.
References
Garland AF, Haine-Schlagel R, Brookman-Frazee L, Baker-Ericzen M, Trask E, Fawley-King K. Improving community-based mental health care for children. Adm Policy Ment Health Ment Health Serv Res. 2013; 40: 6-22.
Spoth R, Redmond C. Parent motivation to enroll in parenting skills programs: family context and health belief predictors. J Fam Psychol. 1995; 9: 294-310.
Spoth R, Redmond C. Research on family engagement in preventive interventions: toward improved use of scientific findings in primary prevention practice. J Prim Prev. 2000; 21(2): 267-284.
Pyne JM, Rost KM, Farahati F, et al. One size fits some: the impact of patient treatment attitudes on the cost-effectiveness of a depression primary-care intervention. Psychol Med. 2005; 35(06): 839-854.
Bierman KL, Nix RL, Maples JJ, Murphy SA. Examining clinical judgment in an adaptive intervention design: the fast track program. J Consult Clin Psychol. 2006; 74(3): 468-481.
Collins LM, Murphy SA, Bierman KL. A conceptual framework for adaptive preventive interventions. Prev Sci. 2004; 5(3): 185-196.
Nahum-Shani I, Qian M, Almirall D, et al. Q-learning: a data analysis method for constructing adaptive interventions. Psychol Methods. 2012; 17(4): 478-494.
Reichlin L, Mani N, McArthur K, Harris, AM, Rajan N, Dacso CC. Assessing the acceptability and usability of an interactive serious game in aiding treatment decisions for patients with localized prostate cancer. J Med Internet Res. 2011; 13(1).
Fishbein DH, Sussman EJ, Ridenour TA, Herman-Stahl M. Translational Behavioral Medicine. 2015.
Force APT. Evidence-Based Practice in Psychology. 2006.
Cunningham CE, Deal K, Rimas H, Chen Y, Buchanan DH, Sdao-Jarvie K. Providing information to parents of children with mental health problems: a discrete choice conjoint analysis of professional preferences. J Abnorm Child Psychol. 2009; 37(8): 1089-1102.
Strategic Plan. In: Health No, ed; 2008.
Vick S, Scott A. Agency in health care. Examining patients' preferences for attributes of the doctor–patient relationship. J Health Econ. 1998; 17(5): 587-605.
Cunningham CE. A family-centered approach to planning and measuring the outcome of interventions for children with attention-deficit/hyperactivity disorder. J Pediatr Psychol. 2007; 32(6): 676-694.
Arnkoff DB, Glass CR, Shapiro SJ. Expectations and preferences. In: Norcross JC, ed. Psychotherapy relationships that work. New York: OUP; 2002: 335-336.
Brewin CR, Bradley C. Patient preferences and randomised clinical trials. BMJ: Br Med J. 1989; 299(6694): 313.
Long Q, Little RJ, Lin X. Causal inference in hybrid intervention trials involving treatment choice. J Am Stat Assoc. 2008; 103: 474-484.
Marcus SM, Stuart EA, Wang P, Shadish WR, Steiner PM. Estimating the causal effect of randomization versus treatment preference in a doubly randomized preference trial. Psychol Methods. 2012; 17(2): 244.
Abikoff H. Tailored psychosocial treatments for ADHD: the search for a good fit. J Clin Child Psychol. 2001; 30(1): 122-125.
Swift JK, Callahan JL. The impact of client treatment preferences on outcome: a meta-analysis. J Clin Psychol. 2009; 65(4): 368-381.
Torgerson DJ, Sibbald B. Understanding controlled trials. What is a patient preference trial? BMJ Br Med J. 1998; 316(7128): 360.
Corrigan PW, Salzer MS. The conflict between random assignment and treatment preference. Eval Program Plan. 2003; 26(2): 109-121.
Walter S, Turner R, Macaskill P, McCaffery K, Irwig L. Optimal allocation of participants for the estimation of selection, preference and treatment effects in the two-stage randomised trial design. Stat Med. 2012; 31(13): 1307-1322.
Swift JK, Callahan JL, Vollmer B. Preferences. J Clin Psychol. 2011; 67: 155-165.
Glass CR, Arnkoff DB, Shapiro SJ. Expectations and preferences. Psychotherapy: theory, research, practice. Training. 2001; 38(4): 455.
TenHave TR, Coyne J, Salzer M, Katz I. Research to improve the quality of care for depression. Gen Hosp Psychiatry. 2003; 25(2): 115-123.
Kwan BM, Dimidjian S, Rizvi SL. Treatment preference, engagement, and clinical improvement in pharmacotherapy versus psychotherapy for depression. Behav Res Ther. 2010; 48(8): 799-804.
Forgatch M, Patterson GR. Parent Management Training-Oregon Model. In: Weisz J, Kazdin A. Evidence-Based Psychotherapies for Children and Adolescents: Guilford; 2010.
Briggs-Gowan M, Horwitz S, Schwab-Stone M, Leventhal J, Leaf P. Mental health in pediatric settings. JAmerican Academy Child & Adolescent Psychiatry. 2000; 39: 841-849.
Forgatch MS, Patterson GR, DeGarmo DS, Beldavs ZG. Testing the Oregon delinquency model with 9-year follow-up of the Oregon Divorce Study. Dev Psychopathol. 2009; 21: 637-660.
Zima BT, Hurlburt MS, Knapp P, et al. Quality of publicly-funded outpatient specialty mental health care for common childhood psychiatric disorders in California. J Am Acad Child Adolesc Psychiatry. 2005; 44(2): 130-144.
VanVoorhis CRW, Morgan BL. Understanding power and rules of thumb for determining sample sizes. Tutor Quant Methods Psychol. 2007; 3(2): 43-50.
Peng C-YJ, Lee KL, Ingersoll GM. An introduction to logistic regression analysis and reporting. J Educ Res. 2002; 96(1): 3-14.
National Institute of Mental Health. Blueprint for change: research on child and adolescent mental health. Washington, D.C. 2001.
Gustafsson PE, Larsson I, Nelson N, Gustafsson PA. Sociocultural disadvantage, traumatic life events, and psychiatric symptoms in preadolescent children. Am J Orthopsychiatry. 2009; 79(3): 387.
McKay MM, Bannon WM Jr. Engaging families in child mental health services. Child Adolesc Psychiatr Clin N Am. 2004; 13(4): 905-921. vii.
McKay MM, McCadam K, Gonzales JJ. Addressing the barriers to mental health services for inner city children and their caretakers. Community Ment Health J. 1996; 32(4): 353-361.
McKay MM, Harrison ME, Gonzales J, Kim L, Quintana E. Multiple-family groups for urban children with conduct difficulties. Psychiatr Serv. 2002; 53(11): 1467-1468.
Baruch G, Vrouva I, Fearon P. A follow-up study of characteristics of young people that dropout and continue psychotherapy: service implications for a clinic in the community. Child Adolesc Mental Health. 2009; 14(2): 69-75.
Wymbs FA, Cunningham CE, Chen Y, Rimas HM, Deal K, Waschbusch, DA, Pelham Jr WE. Examining parents’ preferences for group and individual parent training for children with ADHD symptoms. J Clin Child Adolesc Psychol. 2015; ahead-of-print, 1–18.
Thompson SJ, Bender K, Windsor LC, Flynn PM. The effects of home-based family therapy enhanced with experiential activities. Soc Work Res. 2009; 33(2): 121.
Gewirtz AH. Comparing web, group, and telehealth formats of a military parenting program. Department of Defense. 2014.
Dowell KA, Ogles BM. The effects of parent participation on child psychotherapy outcome: a meta-analytic review. J Clin Child Adolesc Psychol. 2010; 39(2): 151-162.
Barry MJ, Edgman-Levitan S. Shared decision making—the pinnacle of patient-centered care. N Engl J Med. 2012; 366(9): 780-781.
Acknowledgments
The research reported here was funded by grant no. P20 MH 079906 from the National Institute of Mental Health to Gerald August (PI of the center) and Abigail Gewirtz (PI of this pilot research study).
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Abigail Gewirtz is a consultant to Implementation Sciences International, which provides training in the PMTO model.
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This study was approved by the University of Minnesota IRB and the Human Subjects Research Protection Board of the State of Michigan’s Department of Community Health. Informed consent was obtained from all participants for being included in the study.
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Implications
Implication for researchers: Personalization studies aimed at tailoring treatment options to family preferences with the help of decision aids to promote informed choice are needed.
Implications for practitioners: Accommodating to parents’ treatment preferences may be a good strategy for increasing engagement in children’s mental health service particularly when viable equipoise options exist.
Implications for policymakers: Parents’ participation in the delivery and design of children’s mental health services (e.g., maximizing parents’ choice) probably should be recommended as a matter of public policy.
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He, Y., Gewirtz, A., Lee, S. et al. A randomized preference trial to inform personalization of a parent training program implemented in community mental health clinics. Behav. Med. Pract. Policy Res. 6, 73–80 (2016). https://doi.org/10.1007/s13142-015-0366-4
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DOI: https://doi.org/10.1007/s13142-015-0366-4