Moving Toward a Precision-Based, Personalized Framework for Prevention Science: Introduction to the Special Issue
The goal of this Special Issue is to introduce prevention scientists to an emerging form of healthcare, called precision medicine. This approach integrates investigation of the mechanisms of disease and health-compromising behaviors with prevention, treatment, and cure resolved at the level of the individual. Precision Medicine and its derivative personalized prevention represents a promising paradigm for prevention science as it accounts for response heterogeneity and guides development of targeted interventions that may enhance program effect sizes. If successfully integrated into prevention science research, personalized prevention is an approach that can inform the development of decision support tools (screening measures, prescriptive algorithms) and enhance the utility of mobile health technologies that will enable practitioners to use personalized consumer data to inform decisions about the best type and/or intensity of a prevention strategy for particular individuals or subgroups of individuals. In this special issue, we present conceptual articles that provide a heuristic framework for precision-based, personalization prevention research and empirical studies that address research questions exemplary of a new generation of precision-based personalized preventive interventions focused on children’s mental health, behavioral health, and education.
KeywordsPrecision medicine Personalized prevention Children’s mental health Targeted interventions Tailoring technologies Universal prevention Selective prevention Indicated prevention
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed consent is not applicable.
- Allen, M. L., Hurtado, G. A., Garcia-Huidobro, D., Davey, C., Forster, J., Reynoso, U., Alvarez de Davila, S., Linares, R., Gonzales, N., & Svetaz, M. V. (2017). Cultural contributors to smoking susceptibility outcomes among Latino youth: The Padres Informados/Jovenes Preparados participatory trial. Family & Community Health, 40, 170.179. https://doi.org/10.1097/fch.0000000000000147.CrossRefGoogle Scholar
- August, G. J., Piehler, T. F., & Bloomquist, M. L. (2016). Being “SMART” about adolescent conduct problems prevention: Executing a SMART pilot study in a juvenile diversions agency. Journal of Clinical Child & Adolescent Psychology, 45, 495–509. https://doi.org/10.1080/15374416.2014.945212.CrossRefGoogle Scholar
- Barbor, T. F., McRee, B. G., Kassebaum, P. A., Grimaldi, P. L., Ahmed, K., & Bray, J. (2007). Screening, brief intervention, and referral to treatment (SBIRT) toward a public health approach to the management of substance abuse. Substance Abuse, 28, 7–30. https://doi.org/10.1300/J465v28n03_03. CrossRefGoogle Scholar
- Collins, L. M. (2018). Optimization of behavioral, biobehavioral, and biomedical interventions: The multiphase optimization strategy (MOST). New York: Springer.Google Scholar
- Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004). A conceptual framework for adaptive prevention interventions. Prevention Science, 5, 185–196. https://doi.org/10.1023/B.PREV.0000037641.26017.00. CrossRefGoogle Scholar
- Connor, C. M. (2017). Using technology and assessment to personalize instruction: Preventing reading problems. Prevention Science. https://doi.org/10.1007/s11121-017-0842-9.
- Conrod, P. J., Castellanos-Ryan, N., & Strang, J. (2010). Brief, personality-targeted coping skills interventions and survival as a non–drug user over a 2-year period during adolescence. Archives of General Psychiatry, 67, 85–93. https://doi.org/10.1001/archgenpsychiatry.2009.173.CrossRefGoogle Scholar
- Dishion, T. J., Mun, C. J., Ha, T., & Tein, J. (2018). Observed family and friendship dynamics in adolescence: A latent profile approach to identifying “mesosystem” adaptation for intervention tailoring. Prevention Science. https://doi.org/10.1007/s11121-018-0927-0.
- Dodge, K. A., & Conduct Problems Prevention Research Group. (2007). Fast track randomized controlled trial to prevent externalizing psychiatric disorders: Findings from grades 3 through 9. Journal of the American Academy of Child & Adolescent Psychiatry, 46, 1250.1262. https://doi.org/10.1097/chi.0b013e31813e5d39.CrossRefGoogle Scholar
- Estrada, Y., Lee, T. K., Wagstaff, R., Rojas, L. M., Tapia, M. L., Velazquez, M. R., et al. (2018). eHealth Familias Unidas: Efficacy trial of evidence-based intervention adapted for use on the internet with Hispanic families. Prevention Science. https://doi.org/10.1007/s11121-018-0905-6.
- Fishbein, D. H., & Dariotis, J. K. (2017). Personalizing and optimizing preventive intervention models via a transitional neuroscience framework. Prevention Science. https://doi.org/10.1007/s11121-017-0851-8.
- Garcia-Huidobro, D., Diaspro-Higuera, M. O., Palma, D., Palma, R., Ortega, L., Shlafer, R., Weiling, E., Pieher, T., August, G., Svertaz, M. V., Borowski, I. W., & Allen, M. L. (2018). Adaptive recruitment and parenting interventions for immigrant Latino families with adolescents. Prevention Science. https://doi.org/10.1007/s11121-018-0898-1.
- Gewirtz, A. H., Lee, S. S., August, G., & He. (2018). Does giving parents their choice of interventions for child behavior problems improve child outcomes? Prevention Science. https://doi.org/10.1007/s11121-018-0865-x.
- Glenn, A., Lochman, J. E., Dishon, T., Powell, N. P., Boxmeyer, C., Kassing, F., Qu, L., & Romero, D. (2018). Toward tailored interventions: Sympathetic and parasympathetic functioning predicts response to an intervention for conduct problems delivered in two format. Prevention Science. https://doi.org/10.1007/s11121-017-0859-0.
- He, Y., Gewirtz, A., Lee, S., Morrell, N., & August, G. (2016). A randomized preference trial to inform personalization of a parent training program implemented in community mental health clinics. Translational Behavioral Medicine, 6, 73–80. https://doi.org/10.1007/s13142-015-0366-4.CrossRefGoogle Scholar
- Howe, G. W. (2017). Preventive effect heterogeneity: Causal inference in personalized prevention. Prevention Science. https://doi.org/10.1007/s11121-017-0829-9.
- Lei, H., Nahum-Shani, I., Lynch, K., Oslin, D., & Murphy, S. A. (2012). A “SMART” design for building individualized treatment sequences. Annual Review of Clinical Psychology, 8, 21–48. https://doi.org/10.1146/annurev.clinpsy-032511-143152. CrossRefGoogle Scholar
- Luers, B., Klasnja, P., & Murphy, S. (2018). Standardized effect sizes for preventive mental health interventions in micro-randomized trials. Prevention Science. https://doi.org/10.1007/s11121-0862-5.
- Miller, W. R., & Rollnick, S. (2002). Motivational interviewing: Preparing people to change (2nd ed.). New York: Guilford Press.Google Scholar
- National Institutes of Health (NIH). (2016). About the precision medicine initiative co-hort program. Available at https://www.nih.gov/precision-medicine-initiative-cohort-program.
- National Institute of Mental Health (NIMH). (1998). Bridging science and service: A report by the National Advisory Mental Health Council Clinical Treatment and Services Research Workgroup. Retrieved from: https://www.nimh.nih.gov/about/advisory-boards-and-groups/namhc/reports/bridging-science-and-service-a-report-by-the-national-advisory-mental-health-councils-clinical-treatment-and-services-research-workgroup.shtml.
- O'Leary-Barrett, M., Castellanos-Ryan, N., Pihl, R. O., & Conrod, P. J. (2016). Mechanisms of personality-targeted intervention effects on adolescent alcohol misuse, internalizing and externalizing symptoms. Journal of Consulting and Clinical Psychology, 84, 438–452. https://doi.org/10.1037/ccp0000082.CrossRefGoogle Scholar
- Ridenour, T. A. (2018). Precision strategies as a timely and unifying framework for ongoing prevention science advances. Prevention Science.Google Scholar
- Sandler, I., Wolchik, S. A., Cruden, G., Mahrer, N. E., Ahn, S., Brincks, A., & Brown, C. H. (2014). Overview of meta-analyses of the prevention of mental health, substance use, and conduct problems. Annual Review of Clinical Psychology, 10, 243–273. https://doi.org/10.1146/annurev-clinpsy-050212-185524.CrossRefGoogle Scholar
- Thibodeau, E. L., August, G. J., Cicchetti, D., & Symons, F. (2016). Application of environmental sensitivity theories in personalized prevention for youth substance abuse: A transdisciplinary translational perspective. Translational Behavioral Medicine, 6, 81–89. https://doi.org/10.1007/s13142-015-0374-4.CrossRefGoogle Scholar