In rape trauma PTSD, patient characteristics indicate which trauma-focused treatment they are most likely to complete
Corresponding Author
John R. Keefe MA
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
Correspondence
John R. Keefe, Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA 19146.
Email: [email protected]
Search for more papers by this authorShannon Wiltsey Stirman PhD
Psychiatry and Behavioral Sciences, Palo Alto Veterans Affairs Health System, Palo Alto, CA, USA
Search for more papers by this authorZachary D. Cohen MA
University of Pennsylvania, Philadelphia, PA, USA
Search for more papers by this authorRobert J. DeRubeis PhD
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
Search for more papers by this authorBrian N. Smith PhD
National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
Search for more papers by this authorCorresponding Author
John R. Keefe MA
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
Correspondence
John R. Keefe, Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA 19146.
Email: [email protected]
Search for more papers by this authorShannon Wiltsey Stirman PhD
Psychiatry and Behavioral Sciences, Palo Alto Veterans Affairs Health System, Palo Alto, CA, USA
Search for more papers by this authorZachary D. Cohen MA
University of Pennsylvania, Philadelphia, PA, USA
Search for more papers by this authorRobert J. DeRubeis PhD
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
Search for more papers by this authorBrian N. Smith PhD
National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
Search for more papers by this authorClinical Trial Registration: NCT00239772
Funding information: Grant sponsor: National Institute of Mental Health; Grant number: NIH-1 R01-MH51509; Grant sponsor: MQ: Transforming mental health; Grant number: MQ14PM_27.
Abstract
Background
Dropout rates for effective therapies for posttraumatic stress disorder (PTSD) can be high, especially in practice settings. Although clinicians have intuitions regarding what treatment patients may complete, there are few systematic data to drive those judgments.
Methods
A multivariable model of dropout risk was constructed with randomized clinical trial data (n = 160) comparing prolonged exposure (PE) and cognitive processing therapy (CPT) for rape-induced PTSD. A two-step bootstrapped variable selection algorithm was applied to identify moderators of dropout as a function of treatment condition. Employing identified moderators in a model, fivefold cross-validation yielded estimates of dropout probability for each patient in each condition. Dropout rates between patients who did and did not receive their model-indicated treatment were compared.
Results
Despite equivalent dropout rates across treatments, patients assigned to their model-indicated treatment were significantly less likely to drop out relative to patients who did not (relative risk = 0.49 [95% CI: 0.29–0.82]). Moderators included in the model were: childhood physical abuse, current relationship conflict, anger, and being a racial minority, all of which were associated with higher likelihood of dropout in PE than CPT.
Conclusions
Individual differences among patients affect the likelihood they will complete a particular treatment, and clinicians can consider these moderators in treatment planning. In the future, treatment selection models could be used to increase the percentage of patients who will receive a full course of treatment, but replication and extension of such models, and consideration of how best to integrate them into routine practice, are needed.
CONFLICT OF INTEREST
Patricia A. Resick is the developer of one of the two treatments examined in this manuscript (cognitive processing therapy) and an author of both the original therapy manual “Cognitive Processing Therapy for Rape Victims: A Treatment Manual” and the more recent “Cognitive Processing Therapy for PTSD: A Comprehensive Manual.”
REFERENCES
- Ammons, R. B., & Ammons, C. H. (1962). Quick test. Missoula, MT: University of Montana.
- Austin, P. C., & Tu, J. V. (2004). Bootstrap methods for developing predictive models. American Statistician, 58(2), 131–137.
- Beck, A. T., Weissman, A., Lester, D., & Trexler, L. (1974). The measurement of pessimism: The Hopelessness Scale. Journal of Consulting and Clinical Psychology, 42(6), 861–865. https://doi.org/10.1037/h0037562
- Bisson, J. I., Roberts, N. P., Andrew, M., Cooper, R., & Lewis, C. (2013). Psychological therapies for chronic post-traumatic stress disorder (PTSD) in adults. Cochrane Database of Systematic Reviews (Online), 12, CD003388. https://doi.org/10.1002/14651858.CD003388.pub4
- Blake, D. D., Weathers, F. W., Nagy, L. M., Kaloupek, D. G., Gusman, F. D., Charney, D. S., & Keane, T. M. (1995). The development of a clinician-administered PTSD Scale. Journal of Traumatic Stress, 8(1), 75–90.
- Bradley, R., Greene, J., Russ, E., Dutra, L., & Westen, D. (2005). A multidimensional meta-analysis of psychotherapy for PTSD. American Journal of Psychiatry, 162(2), 214–227. https://doi.org/10.1176/appi.ajp.162.2.214
- Breslau, N., Kessler, R. C., Chilcoat, H. D., Schultz, L. R., Davis, G. C., & Andreski, P. (1998). Trauma and posttraumatic stress disorder in the community: The 1996 Detroit Area Survey of Trauma. Archives of General Psychiatry, 55(7), 626–632.
- Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72. https://doi.org/10.1111/j.1467-6419.2007.00527.x
- Carlson, E. B., & Putnam, F. W. (1993). An update on the dissociative experiences scale. Dissociation: Progress in the Dissociative Disorders, 6(1), 16–27.
- Chard, K. M., Ricksecker, E. G., Healy, E. T., Karlin, B. E., & Resick, P. A. (2012). Dissemination and experience with cognitive processing therapy. Journal of Rehabilitation Research and Development, 49(5), 667–678.
- Chekroud, A. M., Zotti, R. J., Shehzad, Z., Gueorguieva, R., Johnson, M. K., Trivedi, M. H., … Corlett, P. R. (2016). Cross-trial prediction of treatment outcome in depression: A machine learning approach. Lancet Psychiatry, 3(3), 243–250. https://doi.org/10.1016/S2215-0366(15)00471-X
- Cloitre, M. (2015). The “one size fits all” approach to trauma treatment: Should we be satisfied? European Journal of Psychotraumatology, 6, 27344. https://doi.org/10.3402/ejpt.v6.27344
- Cloitre, M., Stovall-McClough, K. C., Nooner, K., Zorbas, P., Cherry, S., Jackson, C. L., … Petkova, E. (2010). Treatment for PTSD related to childhood abuse: A randomized controlled trial. American Journal of Psychiatry, 167(8), 915–924. https://doi.org/10.1176/appi.ajp.2010.09081247
- Cohen, Z. D., & DeRubeis, R. J. (2018). Treatment selection in depression. Annual Review of Clinical Psychology, 14. https://doi.org/10.1146/annurev-clinpsy-050817-084746
- Davidson, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their applications. New York, NY: Cambridge University Press.
10.1017/CBO9780511802843 Google Scholar
- DeRubeis, R. J., Cohen, Z. D., Forand, N. R., Fournier, J. C., Gelfand, L. A., & Lorenzo-Luaces, L. (2014). The personalized advantage index: Translating research on prediction into individualized treatment recommendations. A demonstration. PLoS One, 9(1), e83875. https://doi.org/10.1371/journal.pone.0083875
- Driessen, E., Smits, N., Dekker, J. J. M., Peen, J., Don, F. J., Kool, S., … Van, H. L. (2016). Differential efficacy of cognitive behavioral therapy and psychodynamic therapy for major depression: A study of prescriptive factors. Psychological Medicine, 46(4), 731–744. https://doi.org/10.1017/S0033291715001853
- Feeny, N. C., Zoellner, L. A., Mavissakalian, M. R., & Roy-Byrne, P. P. (2009). What would you choose? Sertraline or prolonged exposure in community and PTSD treatment seeking women. Depression and Anxiety, 26(8), 724–731. https://doi.org/10.1002/da.20588
- Fiedler, K. (2011). Voodoo correlations are everywhere—Not only in neuroscience. Perspectives on Psychological Science, 6(2), 163–171. https://doi.org/10.1177/1745691611400237
- Foa, E. B., Hembree, E. A., & Rothbaum, B. O. (2007). Prolonged exposure therapy for PTSD: Emotional processing of traumatic experiences. New York, NY: Oxford University Press.
10.1093/med:psych/9780195308501.001.0001 Google Scholar
- Foa, E. B., Riggs, D. S., Dancu, C. V., & Rothbaum, B. O. (1993). Reliability and validity of a brief instrument for assessing post-traumatic stress disorder. Journal of Traumatic Stress, 6(4), 459–473. https://doi.org/10.1007/bf00974317
- Foa, E. B., Zoellner, L. A., Feeny, N. C., Hembree, E. A., & Alvarez-Conrad, J. (2002). Does imaginal exposure exacerbate PTSD symptoms? Journal of Consulting and Clinical Psychology, 70(4), 1022–1028. https://doi.org/10.1037/0022-006X.70.4.1022
- Garcia, H. A., Kelley, L. P., Rentz, T. O., & Lee, S. (2011). Pretreatment predictors of dropout from cognitive behavioral therapy for PTSD in Iraq and Afghanistan war veterans. Psychological Services, 8(1), 1–11.
- Garge, N. R., Bobashev, G., & Eggleston, B. (2013). Random forest methodology for model-based recursive partitioning: The mobForest package for R. BMC Bioinformatics, 14, 125. https://doi.org/10.1186/1471-2105-14-125
- Goldstein, M. K., Hoffman, B. B., Coleman, R. W., Tu, S. W., Shankar, R. D., O'Connor, M., … Musen, M. A. (2002). Patient safety in guideline-based decision support for hypertension management: ATHENA DSS. Journal of the American Medical Informatics Association, 9(Suppl. 6), S11–S16. https://doi.org/10.1197/jamia.M1218
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction. Springer series in statistics ( 2nd ed., pp. 219–260). New York, NY: Springer.
10.1007/978-0-387-84858-7_7 Google Scholar
- Hundt, N. E., Barrera, T. L., Arney, J., & Stanley, M. A. (2017). “It's worth it in the end”: Veterans’ experiences in prolonged exposure and cognitive processing therapy. Cognitive and Behavioral Practice, 24(1), 50–57. https://doi.org/10.1016/j.cbpra.2016.02.003
- Imel, Z. E., Laska, K., Jakupcak, M., & Simpson, T. L. (2013). Meta-analysis of dropout in treatments for posttraumatic stress disorder. Journal of Consulting and Clinical Psychology, 81(3), 394–404. https://doi.org/10.1037/a0031474
- Kehle-Forbes, S. M., Meis, L. A., Spoont, M. R., & Polusny, M. A. (2016). Treatment initiation and dropout from prolonged exposure and cognitive processing therapy in a VA outpatient clinic. Psychological Trauma: Theory, Research, Practice, and Policy, 8(1), 107–114. https://doi.org/10.1037/tra0000065
- Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. Paper presented at the Proceedings of the 14th International Joint Conference on Artificial Intelligence—Volume 2, Montreal, Quebec, Canada.
- Koutsouleris, N., Kahn, R. S., Chekroud, A. M., Leucht, S., Falkai, P., Wobrock, T., … Hasan, A. (2016). Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: A machine learning approach. Lancet Psychiatry, 3(10), 935–946. https://doi.org/10.1016/S2215-0366(16)30171-7
- Kubany, E. S., Haynes, S. N., Abueg, F. R., Manke, F. P., Brennan, J. M., & Stahura, C. (1996). Development and validation of the Trauma-Related Guilt Inventory (TRGI). Psychological Assessment, 8(4), 428–444. https://doi.org/10.1037/1040-3590.8.4.428
- Larsen, S. E., Wiltsey Stirman, S., Smith, B. N., & Resick, P. A. (2016). Symptom exacerbations in trauma-focused treatments: Associations with treatment outcome and non-completion. Behaviour Research and Therapy, 77, 68–77. https://doi.org/10.1016/j.brat.2015.12.009
- Lester, K., Artz, C., Resick, P. A., & Yinong, Y. (2010). Impact of race on early treatment termination and outcomes in posttraumatic stress disorder treatment. Journal of Consulting and Clinical Psychology, 78(4), 480–489.
- Lorenzo-Luaces, L., Driessen, E., DeRubeis, R. J., Van, H. L., Keefe, J. R., Hendriksen, M., & Dekker, J. (2017). Moderation of the alliance-outcome association by prior depressive episodes: Differential effects in cognitive-behavioral therapy and short-term psychodynamic supportive psychotherapy. Behavior Therapy, 48(5), 581–595. https://doi.org/10.1016/j.beth.2016.11.011
- Markowitz, J. C., & Milrod, B. L. (2015). What to do when a psychotherapy fails. Lancet Psychiatry, 2(2), 186–190. https://doi.org/10.1016/S2215-0366(14)00119-9
- Markowitz, J. C., Petkova, E., Neria, Y., Van Meter, P. E., Zhao, Y., Hembree, E., … Marshall, R. D. (2015). Is exposure necessary? A randomized clinical trial of interpersonal psychotherapy for PTSD. American Journal of Psychiatry, 172(5), 430–440. https://doi.org/10.1176/appi.ajp.2014.14070908
- Mott, J. M., Stanley, M. A., Street, R. L., Jr., Grady, R. H., & Teng, E. J. (2014). Increasing engagement in evidence-based PTSD treatment through shared decision-making: A pilot study. Military Medicine, 179(2), 143–149. https://doi.org/10.7205/milmed-d-13-00363
- Osei-Bonsu, P. E., Bolton, R. E., Wiltsey Stirman, S., Eisen, S. V., Herz, L., & Pellowe, M. E. (2017). Mental health providers’ decision-making around the implementation of evidence-based treatment for PTSD. Journal of Behavioral Health Services & Research, 44(2), 213–223. https://doi.org/10.1007/s11414-015-9489-0
- Perkonigg, A., Pfister, H., STein, M. B., Hofler, M., Lieb, R., Maercker, A., & Wittchen, H. (2005). Longitudinal course of posttraumatic stress disorder and posttraumatic stress disorder symptoms in a community sample of adolescents and young adults. American Journal of Psychiatry, 162(7), 1320–1327.
- Resick, P. A., Jordan, C. G., Girelli, S. A., Hutter, C. K., & Marhoefer-Dvorak, S. (1988). A comparative outcome study of behavioral group therapy for sexual assault victims. Behavior Therapy, 19(3), 385–401. https://doi.org/10.1016/S0005-7894(88)80011-X
- Resick, P. A., Monson, C. M., & Chard, K. M. (2017). Cognitive processing therapy for PTSD: A comprehensive manual. New York, NY: Guilford Press.
- Resick, P. A., Nishith, P., Weaver, T. L., Astin, M. C., & Feuer, C. A. (2002). A comparison of cognitive-processing therapy with prolonged exposure and a waiting condition for the treatment of chronic posttraumatic stress disorder in female rape victims. Journal of Consulting and Clinical Psychology, 70(4), 867–879.
- Resick, P. A., & Schnicke, M. (1993). Cognitive processing therapy for rape victims: A treatment manual. Newbury Park, CA: SAGE Publications.
- Resick, P. A., Uhlmansiek, M. O. B., Clum, G. A., Galovski, T. E., Scher, C. D., & Young-Xu, Y. (2008). A randomized clinical trial to dismantle components of cognitive processing therapy for posttraumatic stress disorder in female victims of interpersonal violence. Journal of Consulting and Clinical Psychology, 76(2), 243–258. https://doi.org/10.1037/0022-006X.76.2.243
- Rizvi, S. L., Vogt, D. S., & Resick, P. A. (2009). Cognitive and affective predictors of treatment outcome in cognitive processing therapy and prolonged exposure for posttraumatic stress disorder. Behaviour Research and Therapy, 47(9), 737–743.
- Rowan, A. B., Foy, D. W., Rodriguez, N., & Ryan, S. (1994). Posttraumatic stress disorder in a clinical sample of adults sexually abused as children. Child Abuse & Neglect, 18(1), 51–61.
- Schnurr, P. P., Chard, K. M., Ruzek, J. I., Chow, B. K., Shih, M.-C., Resick, P. A., … Lu, Y. (2015). Design of VA cooperative study #591: CERV-PTSD, Comparative effectiveness research in Veterans with PTSD. Contemporary Clinical Trials, 41(Suppl. C), 75–84. https://doi.org/10.1016/j.cct.2014.11.017
- Spielberger, C. D., Sydeman, S. J., Owen, A. E., & Marsh, B. J. (1999). Measuring anxiety and anger with the State-Trait Anxiety Inventory (STAI) and the State-Trait Anger Expression Inventory (STAXI). In M. E. Maruish (Ed.), The use of psychological testing for treatment planning and outcomes assessment ( 2nd ed., pp. 993–1021). Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
- Steer, R. A., Ball, R., Ranieri, W. F., & Beck, A. T. (1999). Dimensions of the Beck Depression Inventory-II in clinically depressed outpatients. Journal of Clinical Psychology, 55(1), 117–128.
10.1002/(SICI)1097-4679(199901)55:1<117::AID-JCLP12>3.0.CO;2-A CAS PubMed Web of Science® Google Scholar
- Stekhoven, D. J., & Bühlmann, P. (2012). MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics, 28(1), 112–118. https://doi.org/10.1093/bioinformatics/btr597
- Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B. (1996). The revised Conflict Tactics Scales (CTS2): Development and preliminary psychometric data. Journal of Family Issues, 17(3), 283–316. https://doi.org/10.1177/019251396017003001
- Strobl, C., Boulesteix, A. L., Kneib, T., Augustin, T., & Zeileis, A. (2008). Conditional variable importance for random forests. BMC Bioinformatics, 9, 307. https://doi.org/10.1186/1471-2105-9-307
- Szafranski, D. D., Smith, B. N., Gros, D. F., & Resick, P. A. (2017). High rates of PTSD treatment dropout: A possible red herring? Journal of Anxiety Disorders, 47, 91–98. https://doi.org/10.1016/j.janxdis.2017.01.002
- van Minnen, A., Hendriks, L., & Olff, M. (2010). When do trauma experts choose exposure therapy for PTSD patients? A controlled study of therapist and patient factors. Behaviour Research and Therapy, 48(4), 312–320. https://doi.org/10.1016/j.brat.2009.12.003
- Wallace, M. L., Frank, E., & Kraemer, H. C. (2013). A novel approach for developing and interpreting treatment moderator profiles in randomized clinical trials. JAMA Psychiatry, 70(11), 1241–1247. https://doi.org/10.1001/jamapsychiatry.2013.1960
- Wang, P. S., Lane, M., Olfson, M., Pincus, H. A., Wells, K. B., & Kessler, R. C. (2005). Twelve-month use of mental health services in the United States: Results from the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 629–640. https://doi.org/10.1001/archpsyc.62.6.629
- Zilcha-Mano, S., Keefe, J. R., Chui, H., Rubin, A., Barrett, M. S., & Barber, J. P. (2016). Reducing dropout in treatment for depression: Translating dropout predictors into individualized treatment recommendations. Journal of Clinical Psychiatry, 77(12), e1584–e1590. https://doi.org/10.4088/JCP.15m10081
- Zubkoff, L., Carpenter-Song, E., Shiner, B., Ronconi, J. M., & Watts, B. V. (2016). Clinicians’ perception of patient readiness for treatment: An emerging theme in implementation science? Administration and Policy in Mental Health and Mental Health Services Research, 43(2), 250–258. https://doi.org/10.1007/s10488-015-0635-z