Achieving Precision Mental Health through Effective Assessment, Monitoring, and Feedback Processes: Introduction to the Special Issue

Administration and Policy in Mental Health and Mental Health Services Research

Volumn 43, Issue 3, 2016, Pages 271-276

  Bickman, Leonard ^a   Lyon, Aaron R ^b   Wolpert, Miranda ^c  

^a VANDERBILT UNIVERSITY   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c ANNA FREUD CENTRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDBACK SYSTEM; HUMAN; MENTAL DISORDERS; MENTAL HEALTH SERVICE; PERSONALIZED MEDICINE;

FEEDBACK; HUMANS; MENTAL DISORDERS; MENTAL HEALTH SERVICES; PRECISION MEDICINE;

EID: 84958750505     PISSN: 0894587X     EISSN: 15733289     Source Type: Journal    
DOI: 10.1007/s10488-016-0718-5     Document Type: Editorial

References (35)

1. Avitabile, D. (2015). Precision medicine or personalized medicine: What’s in a name? Retrieved January 8, 2016, from http://healthworkscollective.com/david-avitabile/291841/precision-medicine-or-personalized-medicine-what-s-name.
2. Becker, E. M., Smith, A. M., & Jensen-Doss, A. (2013). Who’s using treatment manuals? A national survey of practicing therapists. Behaviour Research and Therapy,51, 706–710. doi:10.1016/j.brat.2013.07.008.
3. Beidas, R. S., & Kendall, P. C. (2010). Training therapists in evidence-based practice: A critical review of studies from a systems-contextual perspective. Clinical Psychology: Science and Practice,17, 1–30. doi:10.1111/j.1468-2850.2009.01187.x.
4. Bickman, L. (2005). A common factors approach to improving mental health services. Mental Health Services Research,7, 1–4. doi:10.1007/s11020-005-1961-7.
5. Bickman, L. (2008). A measurement feedback system (MFS) is necessary to improve mental health outcomes. Journal of the American Academy of Child and Adolescent Psychiatry,47, 1114–1119. doi:10.1097/CHI.0b013e3181825af8.
6. Bickman, L., & Athay, M. M. (2012). Special issue: Practical multi-informant measurement of youth mental health treatment progress. Administration and Policy in Mental Health and Mental Health Services Research,39, 1–145.
7. Blumenthal, D., & Tavenner, M. (2010). The “meaningful use” regulation for electronic health records. New England Journal of Medicine,363, 501–504. doi:10.1056/NEJMp1006114.
8. Carlier, I. V., Meuldijk, D., Van Vliet, I. M., Van Fenema, E., Van der Wee, N. J., & Zitman, F. G. (2012). Routine outcome monitoring and feedback on physical or mental health status: Evidence and theory. Journal of Evaluation in Clinical Practice,18, 104–110. doi:10.1111/j.1365-2753.2010.01543.x.
9. Carney, P. H. (2014). Information technology and precision medicine. Seminars in Oncology Nursing,30, 124–129. doi:10.1016/j.soncn.2014.03.006.
10. Chorpita, B. F., Moffitt, C. E., & Gray, J. (2005). Psychometric properties of the revised child anxiety and depression scale in a clinical sample. Behaviour Research and Therapy,43, 309–322. doi:10.1016/j.brat.2004.02.004.
11. De Los Reyes, A. (2011). Introduction to the special section. More than measurement error: Discovering meaning behind informant discrepancies in clinical assessments of children and adolescents. Journal of Clinical Child and Adolescent Psychology,40, 1–9. doi:10.1080/15374416.2011.533405.
12. Duncan, B. L., Miller, S. D., & Sparks, J. A. (2011). The heroic client: A revolutionary way to improve effectiveness through client-directed, outcome-informed therapy. San Francisco, CA: Jossey-Bass/Wiley.
13. Garland, A. F., Kruse, M., & Aarons, G. A. (2003). Clinicians and outcome measurement: What’s the use? The Journal of Behavioral Health Services & Research,30, 393–405. doi:10.1007/bf02287427.
14. Greenhalgh, T., Howick, J., Maskrey, N., & Evidence Based Medicine Renaissance Group. (2014). Evidence based medicine: A movement in crisis? BMJ,348, g3725. doi:10.1136/bmj.g3725.
15. Hatfield, D. R., & Ogles, B. M. (2004). The use of outcome measures by psychologists in clinical practice. Professional Psychology: Research and Practice,35, 486–491. doi:10.1037/0735-7028.35.5.485.
16. Haynes, S. N., Mumma, G. H., & Pinson, C. (2009). Idiographic assessment: Conceptual and psychometric foundations of individualized behavioral assessment. Clinical Psychology Review,29, 179–191. doi:10.1016/j.cpr.2008.12.003.
17. Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., et al. (2014). Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide. BMJ,348, g1687. doi:10.1136/bmj.g1687.
18. Insel, T. (2015). Director’s Blog: Precision medicine for mental disorders. Retrieved January 8, 2016, from http://www.nimh.nih.gov/about/director/2015/precision-medicine-for-mental-disorders.shtml.
19. Jacob, J., Edbrooke-Childs, J., Law, D., & Wolpert, M. (2015). Measuring what matters to patients: Using goal content to inform measure choice and development. Clinical Child Psychology and Psychiatry. doi:10.1177/1359104515615642.
20. Kazdin, A. E. (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology,3, 1–27. doi:10.1146/annurev.clinpsy.3.022806.091432.
21. Lyon, A. R., Lewis, C. C., Boyd, M., Melvin, A., Nicodimos, S., Liu, F., & Jungbluth, N. (2016). Health Information Technologies—Academic and Commercial Evaluation (HIT-ACE) methodology: Description and application to clinical feedback systems. Manuscript under review.
22. McCarty, C. A., Chisholm, R. L., Chute, C. G., Kullo, I. J., Jarvik, G. P., Larson, E. B., et al. (2011). The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies. BMC Medical Genomics,4, 1–11. doi:10.1186/1755-8794-4-13.
23. Michie, S., West, R., Campbell, R., Brown, J., & Gainforth, H. (2014). ABC of behaviour change theories: An essential resource for researchers, policy makers and practitioners. London: Silverback Publishing.
24. Miller, S. D., Hubble, M. A., Chow, D., & Seidel, J. (2015). Beyond measures and monitoring: Realizing the potential of feedback-informed treatment. Psychotherapy,52, 449–457. doi:10.1037/pst0000031.
25. Mulley, A. G., Trimble, C., & Elwyn, G. (2012). Stop the silent misdiagnosis: Patients’ preferences matter. BMJ,345, e6572. doi:10.1136/bmj.e6572.
26. National Research Council (US) Committee on A Framework for Developing a New Taxonomy of Disease. (2011). Toward precision medicine: Building a knowledge network for biomedical research and a new taxonomy of disease. Washington, DC: National Academies Press.
27. Precision Medicine Catapult. (2015). Retrieved January 8, 2016, from https://www.catapult.org.uk/en_US/precision-medicine-catapult.
28. Precision Medicine Initiative Working Group. (2015). Report to the Advisory Committee to the director: The Precision Medicine Initiative Cohort Program—Building a Research Foundation for 21st Century Medicine. Washington, DC: National Institutes of Health.
29. Sacchi, L., Lanzola, G., Viani, N., & Quaglini, S. (2015). Personalization and patient involvement in decision support systems: Current trends. Yearbook of Medical Informatics,10, 106–118. doi:10.15265/iy-2015-015.
30. Scott, K., & Lewis, C. C. (2015). Using measurement-based care to enhance any treatment. Cognitive and Behavioral Practice,22, 49–59. doi:10.1016/j.cbpra.2014.01.010.
31. Southam-Gerow, M. A., & McLeod, B. D. (2013). Advances in applying treatment integrity research for dissemination and implementation science: Introduction to special issue. Clinical Psychology: Science and Practice,20, 1–13. doi:10.1111/cpsp.12019.
32. The White House. (2015). FACT SHEET: President Obama’s Precision Medicine Initiative Retrieved January 8, 2016, from https://www.whitehouse.gov/the-press-office/2015/01/30/fact-sheet-president-obama-s-precision-medicine-initiative.
33. Torous, J., & Baker, J. T. (2016). Why psychiatry needs data science and data science needs psychiatry: Connecting with technology. JAMA Psychiatry,73, 3–4. doi:10.1001/jamapsychiatry.2015.2622.
34. Weisz, J. R., Chorpita, B. F., Frye, A., Ng, M. Y., Lau, N., Bearman, S. K., et al. (2011). Youth Top Problems: Using idiographic, consumer-guided assessment to identify treatment needs and to track change during psychotherapy. Journal of Consulting and Clinical Psychology,79, 369–380. doi:10.1037/a0023307.
35. Wolpert, M., Deighton, J., De Francesco, D., Martin, P., Fonagy, P., & Ford, T. (2014). From ‘reckless’ to ‘mindful’ in the use of outcome data to inform service-level performance management: perspectives from child mental health. BMJ Quality & Safety, 23, 272–276. doi:10.1136/bmjqs-2013-002557