Long-term Effectiveness and Predictors of Transdiagnostic Internet-Delivered Cognitive Behavioral Therapy for Emotional Disorders in Specialized Care: Secondary Analysis of a Randomized Controlled Trial

Alberto González-Robles, Pablo Roca, Amanda Díaz-García, Azucena García-Palacios, Cristina Botella, Alberto González-Robles, Pablo Roca, Amanda Díaz-García, Azucena García-Palacios, Cristina Botella

Abstract

Background: Transdiagnostic internet-delivered cognitive behavioral therapy (iCBT) for emotional disorders has been shown to be effective in specialized care in the short term. However, less is known about its long-term effects in this specific setting. In addition, predictors of long-term effectiveness may help to identify what treatments are more suitable for certain individuals.

Objective: This study aimed to analyze the long-term effectiveness of transdiagnostic iCBT compared with that of treatment as usual (TAU) in specialized care and explore predictors of long-term effectiveness.

Methods: Mixed models were performed to analyze the long-term effectiveness and predictors of transdiagnostic iCBT (n=99) versus TAU (n=101) in public specialized mental health care. Outcomes included symptoms of depression and anxiety, health-related quality of life (QoL), behavioral inhibition and behavioral activation, comorbidity, and diagnostic status (ie, loss of principal diagnosis) from baseline to 1-year follow-up. Sociodemographic characteristics (sex, age, and education) and clinical variables (principal diagnosis, comorbidity, and symptom severity at baseline) were selected as predictors of long-term changes.

Results: Compared with baseline, transdiagnostic iCBT was more effective than TAU in improving symptoms of depression (b=-4.16, SE 1.80, 95% CI -7.68 to -0.67), health-related QoL (b=7.63, SE 3.41, 95% CI 1.00-14.28), diagnostic status (b=-0.24, SE 0.09, 95% CI -1.00 to -0.15), and comorbidity at 1-year follow-up (b=-0.58, SE 0.22, 95% CI -1.00 to -0.15). From pretreatment assessment to follow-up, anxiety symptoms improved in both transdiagnostic iCBT and TAU groups, but no significant differences were found between the groups. Regarding the predictors of the long-term effectiveness of transdiagnostic iCBT compared with that of TAU, higher health-related QoL at follow-up was predicted by a baseline diagnosis of anxiety, male sex, and the use of psychiatric medication; fewer comorbid disorders at follow-up were predicted by older age and higher baseline scores on health-related QoL; and fewer depressive symptoms at follow-up were predicted by baseline diagnosis of depression. However, this pattern was not observed for baseline anxiety diagnoses and anxiety symptoms.

Conclusions: The results suggest that transdiagnostic iCBT is more effective than TAU to target depressive symptoms among patients with emotional disorders. Anxiety symptoms remained stable at 1-year follow-up, with no differences between the groups. Results on predictors suggest that some groups of patients may obtain specific gains after transdiagnostic iCBT. Specifically, and consistent with the literature, patients with baseline depression improved their depression scores at follow-up. However, this pattern was not found for baseline anxiety disorders. More studies on the predictor role of sociodemographic and clinical variables in long-term outcomes of transdiagnostic iCBT are warranted. Future studies should focus on studying the implementation of transdiagnostic iCBT in Spanish public specialized mental health care.

Trial registration: ClinicalTrials.gov NCT02345668; https://ichgcp.net/clinical-trials-registry/NCT02345668.

Keywords: anxiety; depression; long term; predictors; transdiagnostic.

Conflict of interest statement

Conflicts of Interest: None declared.

©Alberto González-Robles, Pablo Roca, Amanda Díaz-García, Azucena García-Palacios, Cristina Botella. Originally published in JMIR Mental Health (https://mental.jmir.org), 31.10.2022.

Figures

Figure 1
Figure 1
Flowchart of participants. DSM-IV-TR: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision; ED: emotional disorder; iCBT: internet-delivered cognitive behavioral therapy.

References

    1. Baxter A, Vos T, Scott K M, Ferrari A J, Whiteford H A. The global burden of anxiety disorders in 2010. Psychol Med. 2014 Aug;44(11):2363–74. doi: 10.1017/S0033291713003243.S0033291713003243
    1. Cuijpers P, Beekman AT, Reynolds CF. Preventing depression: a global priority. JAMA. 2012 Mar 14;307(10):1033–4. doi: 10.1001/jama.2012.271. 307/10/1033
    1. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005 Jun 01;62(6):593–602. doi: 10.1001/archpsyc.62.6.593.62/6/593
    1. Dubey S, Biswas P, Ghosh R, Chatterjee S, Dubey MJ, Chatterjee S, Lahiri D, Lavie CJ. Psychosocial impact of COVID-19. Diabetes Metab Syndr. 2020;14(5):779–88. doi: 10.1016/j.dsx.2020.05.035. S1871-4021(20)30154-5
    1. Hawes M, Szenczy AK, Klein DN, Hajcak G, Nelson BD. Increases in depression and anxiety symptoms in adolescents and young adults during the COVID-19 pandemic. Psychol Med. 2021 Jan 13;:1–9. doi: 10.1017/S0033291720005358. S0033291720005358
    1. Lima C, Carvalho P, Lima I, Nunes J, Saraiva J, de Souza R, da Silva C, Neto M. The emotional impact of Coronavirus 2019-nCoV (new Coronavirus disease) Psychiatry Res. 2020 May;287:112915. doi: 10.1016/j.psychres.2020.112915. S0165-1781(20)30516-3
    1. Andrews G, Basu A, Cuijpers P, Craske MG, McEvoy P, English CL, Newby JM. Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: an updated meta-analysis. J Anxiety Disord. 2018 Apr;55:70–8. doi: 10.1016/j.janxdis.2018.01.001. S0887-6185(17)30447-4
    1. Andersson G, Titov N. Advantages and limitations of internet-based interventions for common mental disorders. World Psychiatry. 2014 Feb;13(1):4–11. doi: 10.1002/wps.20083. doi: 10.1002/wps.20083.
    1. Karyotaki E, Kemmeren L, Riper H, Twisk J, Hoogendoorn A, Kleiboer A, Mira A, Mackinnon A, Meyer B, Botella C, Littlewood E, Andersson G, Christensen H, Klein JP, Schröder J, Bretón-López J, Scheider J, Griffiths K, Farrer L, Huibers MJ, Phillips R, Gilbody S, Moritz S, Berger T, Pop V, Spek V, Cuijpers P. Is self-guided internet-based cognitive behavioural therapy (iCBT) harmful? An individual participant data meta-analysis. Psychol Med. 2018 Nov;48(15):2456–66. doi: 10.1017/S0033291718000648. S0033291718000648
    1. Eriksson MC, Kivi M, Hange D, Petersson E, Ariai N, Häggblad P, Ågren H, Spak F, Lindblad U, Johansson B, Björkelund C. Long-term effects of Internet-delivered cognitive behavioral therapy for depression in primary care - the PRIM-NET controlled trial. Scand J Prim Health Care. 2017 Jun 06;35(2):126–36. doi: 10.1080/02813432.2017.1333299.
    1. Andersson G, Rozental A, Shafran R, Carlbring P. Long-term effects of internet-supported cognitive behaviour therapy. Expert Rev Neurother. 2018 Jan 08;18(1):21–8. doi: 10.1080/14737175.2018.1400381.
    1. Wootton B, Karin E, Titov N, Dear BF. Self-guided internet-delivered cognitive behavior therapy (ICBT) for obsessive-compulsive symptoms: a randomized controlled trial. J Anxiety Disord. 2019 Aug;66:102111. doi: 10.1016/j.janxdis.2019.102111.S0887-6185(18)30429-8
    1. Newby J, Twomey C, Yuan Li SS, Andrews G. Transdiagnostic computerised cognitive behavioural therapy for depression and anxiety: a systematic review and meta-analysis. J Affect Disord. 2016 Jul 15;199:30–41. doi: 10.1016/j.jad.2016.03.018.S0165-0327(16)30050-7
    1. Păsărelu CR, Andersson G, Bergman Nordgren L, Dobrean A. Internet-delivered transdiagnostic and tailored cognitive behavioral therapy for anxiety and depression: a systematic review and meta-analysis of randomized controlled trials. Cogn Behav Ther. 2017 Jan;46(1):1–28. doi: 10.1080/16506073.2016.1231219.
    1. Richards D. Prevalence and clinical course of depression: a review. Clin Psychol Rev. 2011 Nov;31(7):1117–25. doi: 10.1016/j.cpr.2011.07.004.S0272-7358(11)00112-7
    1. Yonkers KA, Bruce SE, Dyck IR, Keller MB. Chronicity, relapse, and illness--course of panic disorder, social phobia, and generalized anxiety disorder: findings in men and women from 8 years of follow-up. Depress Anxiety. 2003 May 07;17(3):173–9. doi: 10.1002/da.10106.
    1. Wittchen H, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jönsson B, Olesen J, Allgulander C, Alonso J, Faravelli C, Fratiglioni L, Jennum P, Lieb R, Maercker A, van Os J, Preisig M, Salvador-Carulla L, Simon R, Steinhausen H. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011 Sep;21(9):655–79. doi: 10.1016/j.euroneuro.2011.07.018.S0924-977X(11)00172-6
    1. Driessen E, Cuijpers P, Hollon SD, Dekker JJ. Does pretreatment severity moderate the efficacy of psychological treatment of adult outpatient depression? A meta-analysis. J Consult Clin Psychol. 2010 Oct;78(5):668–80. doi: 10.1037/a0020570.2010-19874-007
    1. Bower P, Kontopantelis E, Sutton A, Kendrick T, Richards DA, Gilbody S, Knowles S, Cuijpers P, Andersson G, Christensen H, Meyer B, Huibers M, Smit F, van Straten A, Warmerdam L, Barkham M, Bilich L, Lovell K, Liu ET. Influence of initial severity of depression on effectiveness of low intensity interventions: meta-analysis of individual patient data. BMJ. 2013 Feb 26;346(feb26 2):f540. doi: 10.1136/bmj.f540.
    1. Eskildsen A, Hougaard E, Rosenberg NK. Pre-treatment patient variables as predictors of drop-out and treatment outcome in cognitive behavioural therapy for social phobia: a systematic review. Nord J Psychiatry. 2010 Apr 08;64(2):94–105. doi: 10.3109/08039480903426929.
    1. Cuijpers P, Karyotaki E, Reijnders M, Huibers MJ. Who benefits from psychotherapies for adult depression? A meta-analytic update of the evidence. Cogn Behav Ther. 2018 Mar 18;47(2):91–106. doi: 10.1080/16506073.2017.1420098.
    1. Andersson E, Ljótsson B, Hedman E, Enander J, Kaldo V, Andersson G, Lindefors N, Rück C. Predictors and moderators of internet-based cognitive behavior therapy for obsessive–compulsive disorder: results from a randomized trial. J Obsessive Compulsive Related Disord. 2015 Jan;4:1–7. doi: 10.1016/j.jocrd.2014.10.003.
    1. El Alaoui S, Hedman E, Ljótsson B, Bergström J, Andersson E, Rück C, Andersson G, Lindefors N. Predictors and moderators of internet- and group-based cognitive behaviour therapy for panic disorder. PLoS One. 2013 Nov 7;8(11):e79024. doi: 10.1371/journal.pone.0079024. PONE-D-13-06187
    1. Martín-Jurado A, de la Gándara Martín JJ, Castro Carbajo S, Moreira Hernández A, Sánchez-Hernández J. [Concordance analysis of referrals from Primary Care to Mental Health] Semergen. 2012 Sep;38(6):354–9. doi: 10.1016/j.semerg.2011.12.005.S1138-3593(11)00545-4
    1. Kohn R, Saxena S, Levav I, Saraceno B. The treatment gap in mental health care. Bull World Health Organ. 2004 Nov;82(11):858–66. S0042-96862004001100011
    1. González-Robles A, Díaz-García A, García-Palacios A, Roca P, Ramos-Quiroga JA, Botella C. Effectiveness of a transdiagnostic guided internet-delivered protocol for emotional disorders versus treatment as usual in specialized care: randomized controlled trial. J Med Internet Res. 2020 Jul 07;22(7):e18220. doi: 10.2196/18220. v22i7e18220
    1. González-Robles A, García-Palacios A, Baños R, Riera A, Llorca G, Traver F, Haro G, Palop V, Lera G, Romeu JE, Botella C. Effectiveness of a transdiagnostic internet-based protocol for the treatment of emotional disorders versus treatment as usual in specialized care: study protocol for a randomized controlled trial. Trials. 2015 Oct 31;16(1):488. doi: 10.1186/s13063-015-1024-3. 10.1186/s13063-015-1024-3
    1. Diagnostic and Statistical Manual of Mental Disorders, 4th edition. Washington, DC: American Psychiatric Association; 1994.
    1. Beck A, Steer RA, Brown GK. BDI-II, Beck Depression Inventory Manual. San Antonio, TX: Psychological Corporation; 1996.
    1. Sanz J, Navarro ME, Vázquez C. Adaptación española del inventario para la depresión de beck--II(BDI-II): 1. Propiedades psicométricas en estudiantes universitarios [Spanish adaptation of the Beck Depression Inventory-II (BDI-II): 1. Psychometric properties with university students] Análisis y Modificación de Conducta. 2003;29(124):239–88.
    1. Beck A, Steer A. Beck Anxiety Inventory Manual. San Antonio, TX: Psychological Corporation; 1993.
    1. Magán I, Sanz J, García-Vera MP. Psychometric properties of a Spanish version of the beck anxiety inventory (BAI) in general population. Span J Psychol. 2014 Apr 10;11(2):626–40. doi: 10.1017/s1138741600004637.
    1. Badia X, Roset M, Montserrat S, Herdman M, Segura A. [The Spanish version of EuroQol: a description and its applications. European Quality of Life scale] Med Clin (Barc) 1999;112 Suppl 1:79–85.
    1. Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: the BIS/BAS scales. J Personality Soc Psychol. 1994 Aug;67(2):319–33. doi: 10.1037/0022-3514.67.2.319.
    1. Caseras X, Àvila C, Torrubia R. The measurement of individual differences in behavioural inhibition and behavioural activation systems: a comparison of personality scales. Personality Indiv Diff. 2003 Apr;34(6):999–1013. doi: 10.1016/s0191-8869(02)00084-3.
    1. Psicologia y Tecnologia homepage. Psicologia y Tecnologia. [2022-01-12].
    1. Barlow D, Ellard KK, Fairholme CP, Farchione TJ, Boisseau CL, Allen LB, Ehrenreich-May JT. Unified Protocol for Transdiagnostic Treatment of Emotional Disorders: Workbook (1 edn) Oxford, United Kingdom: Oxford University Press; 2010.
    1. Barlow D, Farchione TJ, Fairholme CP, Ellard KK, Boisseau CL, Allen LB, Ehrenreich May JT. Unified Protocol for Transdiagnostic Treatment of Emotional Disorders: Therapist Guide (1 edn) Oxford, United Kingdom: Oxford University Press; 2010.
    1. Linehan MM. Cognitive-Behavioral Treatment of Borderline Personality Disorder. New York, United States: Guilford Publications; 1993.
    1. Twisk J, de Boer M, de Vente W, Heymans M. Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis. J Clin Epidemiol. 2013 Sep;66(9):1022–8. doi: 10.1016/j.jclinepi.2013.03.017.S0895-4356(13)00123-6
    1. Bates D, Kliegl R, Vasishth S, Baayen H. Parsimonious mixed models. arXiv. 2015
    1. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2020.
    1. Graham JW. Missing data analysis: making it work in the real world. Annu Rev Psychol. 2009 Jan 01;60(1):549–76. doi: 10.1146/annurev.psych.58.110405.085530.
    1. Little R, Rubin DB. Statistical Analysis with Missing Data, Second Edition. Hoboken, New Jersey, United States: Wiley; 2002. Bayes and multiple imputation.
    1. Molenberghs G, Kenward MG. Missing Data in Clinical Studies. Hoboken, New Jersey: Wiley; 2007.
    1. Schafer JL, Yucel RM. Computational strategies for multivariate linear mixed-effects models with missing values. J Computation Graphical Stat. 2002 Jun;11(2):437–57. doi: 10.1198/106186002760180608.
    1. Lachenbruch PA, Cohen J. Statistical power analysis for the behavioral sciences (2nd edition) J Am Stat Assoc. 1989 Dec;84(408):1096. doi: 10.2307/2290095.
    1. Kodal A, Fjermestad KW, Bjelland I, Gjestad R, Öst LG, Bjaastad JF, Haugland BS, Havik OE, Heiervang ER, Wergeland GJ. Predictors of long-term outcome of CBT for youth with anxiety disorders treated in community clinics. J Anxiety Disord. 2018 Oct;59:53–63. doi: 10.1016/j.janxdis.2018.08.008. S0887-6185(18)30002-1
    1. Barr DJ. Random effects structure for testing interactions in linear mixed-effects models. Front Psychol. 2013;4:328. doi: 10.3389/fpsyg.2013.00328. doi: 10.3389/fpsyg.2013.00328.
    1. Barr DJ, Levy R, Scheepers C, Tily HJ. Random effects structure for confirmatory hypothesis testing: keep it maximal. J Mem Lang. 2013 Apr;68(3):255–78. doi: 10.1016/j.jml.2012.11.001.
    1. Hedman E, Lindefors N, Andersson G, Andersson E, Lekander M, Rück C, Ljótsson B. Predictors of outcome in internet-based cognitive behavior therapy for severe health anxiety. Behav Res Ther. 2013 Oct;51(10):711–7. doi: 10.1016/j.brat.2013.07.009.S0005-7967(13)00134-4
    1. Vigerland S, Serlachius E, Thulin U, Andersson G, Larsson J, Ljótsson B. Long-term outcomes and predictors of internet-delivered cognitive behavioral therapy for childhood anxiety disorders. Behav Res Ther. 2017 Mar;90:67–75. doi: 10.1016/j.brat.2016.12.008.S0005-7967(16)30219-4
    1. Cumming G. The new statistics: why and how. Psychol Sci. 2014 Jan 12;25(1):7–29. doi: 10.1177/0956797613504966.0956797613504966
    1. Rodríguez-Gómez P, Romero-Ferreiro V, Pozo MA, Hinojosa JA, Moreno EM. Facing stereotypes: ERP responses to male and female faces after gender-stereotyped statements. Soc Cogn Affect Neurosci. 2020 Nov 06;15(9):928–40. doi: 10.1093/scan/nsaa117. 5903240
    1. Carlucci L, Saggino A, Balsamo M. On the efficacy of the unified protocol for transdiagnostic treatment of emotional disorders: a systematic review and meta-analysis. Clin Psychol Rev. 2021 Jul;87:101999. doi: 10.1016/j.cpr.2021.101999.S0272-7358(21)00042-8
    1. Barlow DH, Harris BA, Eustis EH, Farchione TJ. The unified protocol for transdiagnostic treatment of emotional disorders. World Psychiatry. 2020 Jun 11;19(2):245–6. doi: 10.1002/wps.20748. doi: 10.1002/wps.20748.
    1. Barlow DH, Sauer-Zavala S, Carl JR, Bullis JR, Ellard KK. The nature, diagnosis, and treatment of neuroticism. Clin Psychol Sci. 2013 Oct 14;2(3):344–65. doi: 10.1177/2167702613505532.
    1. Carl JR, Gallagher MW, Sauer-Zavala SE, Bentley KH, Barlow DH. A preliminary investigation of the effects of the unified protocol on temperament. Compr Psychiatry. 2014 Aug;55(6):1426–34. doi: 10.1016/j.comppsych.2014.04.015. S0010-440X(14)00102-3
    1. Whiston A, Bockting CL, Semkovska M. Towards personalising treatment: a systematic review and meta-analysis of face-to-face efficacy moderators of cognitive-behavioral therapy and interpersonal psychotherapy for major depressive disorder. Psychol Med. 2019 Oct 16;49(16):2657–68. doi: 10.1017/s0033291719002812.
    1. Hamilton KE, Dobson KS. Cognitive therapy of depression. Clin Psychol Rev. 2002 Jul;22(6):875–93. doi: 10.1016/s0272-7358(02)00106-x.
    1. Schindler A, Hiller W, Witthöft M. What predicts outcome, response, and drop-out in CBT of depressive adults? A naturalistic study. Behav Cogn Psychother. 2012 Dec 05;41(3):365–70. doi: 10.1017/s1352465812001063.
    1. van Ballegooijen W, Cuijpers P, van Straten A, Karyotaki E, Andersson G, Smit JH, Riper H. Adherence to Internet-based and face-to-face cognitive behavioural therapy for depression: a meta-analysis. PLoS One. 2014 Jul 16;9(7):e100674. doi: 10.1371/journal.pone.0100674. PONE-D-13-40111
    1. Manwaring JL, Bryson SW, Goldschmidt AB, Winzelberg AJ, Luce KH, Cunning D, Wilfley DE, Taylor CB. Do adherence variables predict outcome in an online program for the prevention of eating disorders? J Consulting Clin Psychol. 2008;76(2):341–6. doi: 10.1037/0022-006x.76.2.341.
    1. Enrique A, Palacios JE, Ryan H, Richards D. Exploring the relationship between usage and outcomes of an internet-based intervention for individuals with depressive symptoms: secondary analysis of data from a randomized controlled trial. J Med Internet Res. 2019 Aug 01;21(8):e12775. doi: 10.2196/12775. v21i8e12775
    1. González-Robles A, Suso-Ribera C, Díaz-García A, García-Palacios A, Castilla D, Botella C. Predicting response to transdiagnostic iCBT for emotional disorders from patient and therapist involvement. Internet Interv. 2021 Sep;25:100420. doi: 10.1016/j.invent.2021.100420. S2214-7829(21)00060-9

Source: PubMed

3
Iratkozz fel