Efficient Monitoring of Treatment Response during Youth Psychotherapy: The Behavior and Feelings Survey

References

• Achenbach, T. M. (1966). The classification of children’s psychiatric symptoms: A factor-analytic study. Psychological Monographs: General and Applied, 80(7), 1–37, (Whole No. 615). ISSN: 0096-9753; PMID: 5968338 Version:1, . doi:10.1037/h0093906
   PubMedGoogle Scholar
• Achenbach, T. M., Conners, C. K., Quay, H. C., Verhulst, F. C., & Howell, C. T. (1989). Replication of empirically derived syndromes as a basis for taxonomy of child/adolescent psychopathology. Journal of Abnormal Child Psychology, 17(3), 299–323. doi:10.1007/BF00917401
   PubMed Web of Science ®Google Scholar
• Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms & profiles. Burlington, VT: University of Vermont, Research Center for Youths, Youth and Families.
   Google Scholar
• American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders, 4th edition. Washington, DC: American Psychiatric Association.
   Google Scholar
• Bickman, L., Douglas Kelley, S., Breda, C., de Andrade, A. R., & Riemer, M. (2011). Effects of routine feedback to clinicians on mental health outcomes of youths: Results of a randomized trial. Psychiatric Services, 62(12), 1423–1429. doi:10.1176/appi.ps.002052011
   PubMed Web of Science ®Google Scholar
• Burlingame, G. M., Mosier, J. I., Wells, M. G., Atkin, Q. G., Lambert, M. J., Whoolery, M., & Latowsky, M. (2001). Tracking the influence of mental health treatment: The development of the youth outcome questionnaire. Clinical Psychology and Psychotherapy, 8(5), 315–334. doi:10.1002/cpp.315
   Web of Science ®Google Scholar
• Chorpita, B. F., Daleiden, E. L., Park, A. L., Ward, A. M., Levy, M. C., Cromley, T., … Krull, J. L. (2017). Child STEPs in California: A cluster randomized effectiveness trial comparing modular treatment with community implemented treatment for youth with anxiety, depression, conduct problems, or traumatic stress. Journal of Consulting and Clinical Psychology, 85(1), 13–25. doi:10.1037/ccp0000133
   PubMed Web of Science ®Google Scholar
• Chorpita, B. F., Reise, S., Weisz, J. R., Grubbs, K., Becker, K. D., & Krull, J. L.; Research Network on Youth Mental Health. (2010). Evaluation of the Brief Problem Checklist: Child and caregiver interviews to measure clinical progress. Journal of Consulting and Clinical Psychology, 78(4), 526–536.
   PubMed Web of Science ®Google Scholar
• Chorpita, B. F., Weisz, J. R., Daleiden, E. L., Schoenwald, S. K., Palinkas, L. A., Miranda, J., Higa-McMillan, C. K., Nakamura, B. J., Austin, A. A., Borntrager, C., Ward, A. M., Wells, K. C., & Gibbons, R. D., & the Research Network on Youth Mental Health. (2013). Long term outcomes for the Child STEPs randomized effectiveness trial: A comparison of modular and standard treatment designs with usual care. Journal of Consulting and Clinical Psychology, 81(6),999–1009. doi:10.1037/a0034200.
   Google Scholar
• Chorpita, B. F., & Weisz, J. R. (2009). Modular Approach to Therapy for Children with Anxiety, Depression, Trauma, or Conduct Problems (MATCH-ADTC). Satellite Beach, FL: PracticeWise, LLC.
   Google Scholar
• Cicchetti, D., & Toth, S. L. (1991). Internalizing and externalizing expressions of dysfunction. Rochester Symposium on Developmental Psychopathology, Vol. 2. Rochester, NY: University of Rochester Press.
   Google Scholar
• de Ayala, R. J. (2009). The theory and practice of Item Response Theory. New York, NY: Guilford Press.
   Google Scholar
• De Los Reyes, A., Augenstein, T. M., & Aldao, A. (2017). Assessment issues in child and adolescent psychotherapy. In J. R. Weisz & A. E. Kazdin (Eds.), Evidence-based psychotherapies for children and adolescents (pp. 537–554). New York, NY: Guilford Press.
   Google Scholar
• De Los Reyes, A., Augenstein, T. M., Wang, M., Thomas, S. A., Drabick, G. A., Burgers, D. E., & Rabinowitz, J. (2015). The validity of the multi-informant approach to assessing child and adolescent mental health. Psychological Bulletin, 141(4), 858–900. doi:10.1037/a0038498
   PubMed Web of Science ®Google Scholar
• Dorsey, S., Berliner, L., Lyon, A. R., Pullmann, M. D., & Murray, L. K. (2014). A statewide common elements initiative for children’s mental health. Journal of Behavioral Health Services and Research, 43(2), 46–26. doi:10.1007/s11414-014-9430-y
   Web of Science ®Google Scholar
• Dunn, T. W., Burlingame, G. M., Walbridge, M., Smith, J., & Crum, M. J. (2005). Outcome assessment for children and adolescents: Psychometric validation of the Youth Outcome Questionnaire 30.1. Clinical Psychology & Psychotherapy, 12(5), 388–401. doi:10.1002/cpp.461
   Web of Science ®Google Scholar
• Fortney, J. C., Unutzer, J., Wren, G., Pyne, J. M., Smith, G. R., Schoenbaum, M., & Harbin, H. T. (2017). A tipping point for measurement-based care. Psychiatric Services, 68(2), 179–188. doi:10.1176/appi.ps.201500439
   PubMed Web of Science ®Google Scholar
• Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345. doi:10.1097/00004583-200111000-00015
   PubMed Web of Science ®Google Scholar
• Gross, T. J., Hurley, K. D., Lambert, M. C., Epstein, M. H., & Stevens, A. L. (2015). Psychometric evaluation of the Symptoms and Functioning Severity Scale (SFSS) short forms with out-of-home care youth. Child Youth Care Forum, 44, 239–249. doi:10.1007/s10566-014-9280-z
   PubMed Web of Science ®Google Scholar
• Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York, NY: Routledge.
   Google Scholar
• Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151. doi:10.1177/001316446002000116
   Web of Science ®Google Scholar
• Little, R. (2002). Statistical analysis with missing data. Hoboken, NJ: Wiley.
   Google Scholar
• Mair, P., & Hatzinger, R. (2007). Extended Rasch modeling: the eRm package for the application of IRT models in R. Journal of Statistical Software, 20(9), 1–20.
   Web of Science ®Google Scholar
• Mash, E. J., & Wolfe, D. A. (2013). Abnormal child psychology. Boston, MA: Cengage Learning.
   Google Scholar
• Meng, X. L., Rosenthal, R., & Rubin, D. B. (1992). Comparing correlated correlation coefficients. Psychological Bulletin, 111(1), 172–175. doi:10.1037/0033-2909.111.1.172
   Web of Science ®Google Scholar
• Ng, M. Y., & Weisz, J. R. (2016). Building a science of personalized intervention for youth mental health. Journal of Child Psychology and Psychiatry, 57(3), 216–236. doi:10.1111/jcpp.12470
   PubMed Web of Science ®Google Scholar
• Quay, H. C. (1979). Classification. In H. C. Quay & J. S. Werry (Eds.), Psychopathological disorders of childhood (2nd ed., pp. 1–42). New York, NY: Wiley.
   Google Scholar
• R Core Team. (2015). R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. Retrieved from http://www.R-project.org/.
   Google Scholar
• Revelle, W. (2018). psych: Procedures for Personality and Psychological Research. R package version 1.8.10. Northwestern University, Evanston, Illinois, USA. https://CRAN.R-project.org/package=psych
   Google Scholar
• Revelle, W., & Rocklin, T. (1979). Very Simple Structure: An alternative procedure for estimating the optimal number of interpretable factors. Multivariate Behavioral Research, 14(4), 403–414. doi:10.1207/s15327906mbr1404_2
   PubMed Web of Science ®Google Scholar
• Scott, K., & Lewis, C. (2017). Using measurement-based care to enhance any treatment. Cognitive & Behavioral Practice, 22(1), 49–59. doi:10.1016/j.cbpra.2014.01.010
   Web of Science ®Google Scholar
• Shimokawa, K., Lambert, M. J., & Smart, D. W. (2010). Enhancing treatment outcome of patients at risk of treatment failure: Meta-analytic and mega-analytic review of a psychotherapy quality assurance system. Journal of Consulting and Clinical Psychology, 78(3), 298–311. doi:10.1037/a0019247
   PubMed Web of Science ®Google Scholar
• Staller, J. A. (2006). Diagnostic profiles in outpatient child psychiatry. American Journal of Orthopsychiatry, 76(1), 98–102. doi:10.1037/0002-9432.76.1.98
   PubMed Web of Science ®Google Scholar
• Vostanis, P. (2006). Strengths and Difficulties Questionnaire: Research and clinical applications. Current Opinion in Psychiatry, 19(4), 367–372. doi:10.97/01.yco.0000228755.72366.05
   PubMed Web of Science ®Google Scholar
• Weisz, J. R., Bearman, S. K., Santucci, L., & Jensen-Doss, A. (2017). Initial test of a principle-guided approach to transdiagnostic psychotherapy with children and adolescents. Journal of Clinical Child and Adolescent Psychology, 46(1), 44–58. doi:10.1080/15374416.2016.1163708
   PubMed Web of Science ®Google Scholar
• Weisz, J. R., Chorpita, B. F., Frye, A., Ng, M. Y., Lau, N., & Bearman, S. K.; Research Network on Youth Mental Health. (2011). Youth top problems: Using idiographic, consumer-guided assessment to identify treatment needs and track change during psychotherapy. Journal of Consulting and Clinical Psychology, 79(3), 369–380.
   PubMed Web of Science ®Google Scholar
• Weisz, J. R., Chorpita, B. F., Palinkas, L. A., Schoenwald, S. K., Miranda, J., & Bearman, S. K.; Research Network on Youth Mental Health. (2012). Testing standard and modular designs for psychotherapy treating depression, anxiety, and conduct problems in youth: A randomized effectiveness trial. Archives of General Psychiatry, 69(3), 274–282.
   PubMed Web of Science ®Google Scholar
• Wolpert, M., Cheng, H., & Deighton, J. (2015). Measurement issues: Review of four patient reported outcome measures: SDQ, RCADS, C/ORS and GBO-their strengths and limitations for clinical use and service evaluation. Child and Adolescent Mental Health, 20(1), 63–70. doi:10.1111/camh.12065
   PubMed Web of Science ®Google Scholar
• Youngstrom, E., Findling, R., & Calabrese, J. (2003). Who are the comorbid adolescents? Agreement between psychiatric diagnosis, youth, parent, and teacher report. Journal of Abnormal Child Psychology, 31(3), 231–245. doi:10.1023/A:1023244512119
   PubMed Web of Science ®Google Scholar