[Skip to Content]
[Skip to Content Landing]

Outcomes of Online Mindfulness-Based Cognitive Therapy for Patients With Residual Depressive SymptomsA Randomized Clinical Trial

Educational Objective
To evaluate the effectiveness for treating residual depressive symptoms with Mindful Mood Balance (MMB), a web-based application that delivers mindfulness-based cognitive therapy, plus usual depression care compared with usual depression care only.
1 Credit CME
Key Points

Question  Can web-based treatment of residual depressive symptoms lead to incremental benefits for adults when added to usual depression care?

Finding  In this randomized clinical trial of 460 participants with residual depressive symptoms, those who received an online version of mindfulness-based cognitive therapy in addition to usual care had greater reductions in depressive and anxiety symptoms, higher rates of remission, and higher levels of quality of life compared with participants who received usual care only.

Meaning  The findings support the value of online mindfulness-based cognitive therapy as an adjunctive, scalable approach for the management of residual depressive symptoms.

Abstract

Importance  Patients with residual depressive symptoms face a gap in care because few resources, to date, are available to manage the lingering effects of their illness.

Objective  To evaluate the effectiveness for treating residual depressive symptoms with Mindful Mood Balance (MMB), a web-based application that delivers mindfulness-based cognitive therapy, plus usual depression care compared with usual depression care only.

Design, Setting, and Participants  This randomized clinical trial was conducted in primary care and behavioral health clinics at Kaiser Permanente Colorado, Denver. Adults identified with residual depressive symptoms were recruited between March 2, 2015, and November 30, 2018. Outcomes were assessed for a 15-month period, comprising a 3-month intervention interval and a 12-month follow-up period.

Interventions  Patients were randomized to receive usual depression care (UDC; n = 230) or MMB plus UDC (n = 230), which included 8 sessions delivered online for a 3-month interval plus minimal phone or email coaching support.

Main Outcomes and Measures  Primary outcomes were reduction in residual depressive symptom severity, assessed using the Patient Health Questionaire-9 (PHQ-9); rates of depressive relapse (PHQ-9 scores ≥15); and rates of remission (PHQ-9 scores <5). Secondary outcomes included depression-free days, anxiety symptoms (General Anxiety Disorder–7 Item Scale), and functional status (12-Item Short Form Survey).

Results  Among 460 randomized participants (mean [SD] age, 48.30 [14.89] years; 346 women [75.6%]), data were analyzed for the intent-to-treat sample, which included 362 participants (78.7%) at 3 months and 330 (71.7%) at 15 months. Participants who received MMB plus UDC had significantly greater reductions in residual depressive symptoms than did those receiving UDC only (mean [SE] PHQ-9 score, 0.95 [0.39], P < .02). A significantly greater proportion of patients achieved remission in the MMB plus UDC group compared with the UDC only group (PHQ-9 score, <5: β [SE], 0.38 [0.14], P = .008), and rates of depressive relapse were significantly lower in the MMB plus UDC group compared with the UDC only group (hazard ratio, 0.61; 95% CI, 0.39-0.95; P < .03). Compared with the UDC only group, the MMB plus UDC group had decreased depression-free days (mean [SD], 281.14 [164.99] days vs 247.54 [158.32] days; difference, −33.60 [154.14] days; t = −2.33; P = .02), decreased anxiety (mean [SE] General Anxiety Disorder–7 Item Scale score, 1.21 [0.42], P = .004), and improved mental functioning (mean [SE] 12-Item Short Form Survey score, −5.10 [1.37], P < .001), but there was no statistically significant difference in physical functioning.

Conclusions and Relevance  Use of MMB plus UDC resulted in significant improvement in depression and functional outcomes compared with UDC only. The MMB web-based treatment may offer a scalable approach for the management of residual depressive symptoms.

Trial Registration  ClinicalTrials.gov identifier: NCT02190968

Sign in to take quiz and track your certificates

Buy This Activity

JN Learning™ is the home for CME and MOC from the JAMA Network. Search by specialty or US state and earn AMA PRA Category 1 Credit(s)™ from articles, audio, Clinical Challenges and more. Learn more about CME/MOC

CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.

Article Information

Accepted for Publication: December 4, 2019.

Published Online: January 29, 2020. doi:10.1001/jamapsychiatry.2019.4693

Correction: This article was corrected on March 18, 2020, to fix the Conflict of Interest Disclosures and Additional Contributions sections.

Corresponding Author: Zindel V. Segal, PhD, Graduate Department Clinical Psychological Science, University of Toronto Scarborough, Room SY144, 1265 Military Trail, Toronto, ON M1C 1A4, Canada (zindel.segal@utoronto.ca).

Author Contributions: Dr Segal had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis.

Concept and design: Segal, Dimidjian, Beck, Boggs, Felder.

Acquisition, analysis, or interpretation of data: Dimidjian, Beck, Boggs, Vanderkruik, Metcalf, Gallop, Levy.

Drafting of the manuscript: Segal, Boggs, Vanderkruik, Gallop.

Critical revision of the manuscript for important intellectual content: Dimidjian, Beck, Boggs, Vanderkruik, Metcalf, Felder, Levy.

Statistical analysis: Vanderkruik, Gallop, Levy.

Obtained funding: Segal, Dimidjian, Beck.

Administrative, technical, or material support: Beck, Boggs, Vanderkruik, Metcalf, Felder, Levy.

Supervision: Dimidjian, Beck.

Conflict of Interest Disclosures: Dr Segal reported being a codeveloper of Mindfulness Based Cognitive Therapy (MBCT) and receiving royalties from Guilford Press for the MBCT treatment manual and patient books; reported presenting keynote addresses at conferences, and MBCT clinical training workshops where he has received a fee, including from the Mind and Life Institute, the Omega Institute, and the University of California San Diego Center for Mindfulness; reported receiving revenue from online MBCT therapist training tools available on mindfulnoggin.com; and reported being a cofounder of Mindful Noggin, Inc, which supports online dissemination of MBCT. Dr Dimidjian reported receiving royalties from Guilford Press for a book based on MBCT for new and expectant mothers; reported presenting at conferences where she received a fee, including from the Mind and Life Institute and Becoming Jackson Whole; reported receiving revenue from online MBCT therapist training tools available on mindfulnoggin.com; and reported being a cofounder of Mindful Noggin, Inc, which supports online dissemination of MBCT. Dr Beck reported receiving grants from the National Institute of Mental Health during the conduct of the study. No other disclosures were reported.

Funding/Support: This work was funded by grant MH102229 (Dr Segal) from the National Institute of Mental Health.

Role of the Funder/Sponsor: The funding organization had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: See Supplement 3.

Additional Contributions: Brian Knudson, NogginLabs, worked on the design of Mindful Mood Balance, and Leslie Wright, MA, Angela Plata, MS, Institute for Health Research, Kaiser Permanente Colorado, and Natalie Coleman, BA, Renée Crown Wellness Institute, helped with patient recruitment, tracking, and study management. These individuals were compensated as grant personnel working on this project.

References
1.
Ferrari  AJ , Charlson  FJ , Norman  RE ,  et al.  Burden of depressive disorders by country, sex, age, and year: findings from the Global Burden of Disease Study 2010.   PLoS Med. 2013;10(11):e1001547. doi:10.1371/journal.pmed.1001547 PubMedGoogle Scholar
2.
Conradi  HJ , Ormel  J , de Jonge  P .  Presence of individual (residual) symptoms during depressive episodes and periods of remission: a 3-year prospective study.   Psychol Med. 2011;41(6):1165-1174. doi:10.1017/S0033291710001911 PubMedGoogle ScholarCrossref
3.
Cuijpers  P , Beekman  ATF , Reynolds  CF  III .  Preventing depression: a global priority.   JAMA. 2012;307(10):1033-1034. doi:10.1001/jama.2012.271 PubMedGoogle ScholarCrossref
4.
Patten  SB , Williams  JVA , Lavorato  DH , Bulloch  AGM , MacQueen  G .  Depressive episode characteristics and subsequent recurrence risk.   J Affect Disord. 2012;140(3):277-284. doi:10.1016/j.jad.2012.02.006 PubMedGoogle ScholarCrossref
5.
Zajecka  J , Kornstein  SG , Blier  P .  Residual symptoms in major depressive disorder: prevalence, effects, and management.   J Clin Psychiatry. 2013;74(4):407-414. doi:10.4088/JCP.12059ah1 PubMedGoogle ScholarCrossref
6.
Bet  PM , Hugtenburg  JG , Penninx  BWJH , van Balkom  A , Nolen  WA , Hoogendijk  WJG .  Treatment inadequacy in primary and specialized care patients with depressive and/or anxiety disorders.   Psychiatry Res. 2013;210(2):594-600. doi:10.1016/j.psychres.2013.06.023 PubMedGoogle ScholarCrossref
7.
Thornicroft  G , Chatterji  S , Evans-Lacko  S ,  et al.  Undertreatment of people with major depressive disorder in 21 countries.   Br J Psychiatry. 2017;210(2):119-124. doi:10.1192/bjp.bp.116.188078 PubMedGoogle ScholarCrossref
8.
Nierenberg  AA , Husain  MM , Trivedi  MH ,  et al.  Residual symptoms after remission of major depressive disorder with citalopram and risk of relapse: a STAR*D report.   Psychol Med. 2010;40(1):41-50. doi:10.1017/S0033291709006011 PubMedGoogle ScholarCrossref
9.
Dunlop  BW , LoParo  D , Kinkead  B ,  et al.  Benefits of sequentially adding cognitive-behavioral therapy or antidepressant medication for adults with nonremitting depression.   Am J Psychiatry. 2019;176(4):275-286. doi:10.1176/appi.ajp.2018.18091075 PubMedGoogle ScholarCrossref
10.
Guidi  J , Tomba  E , Fava  GA .  The sequential integration of pharmacotherapy and psychotherapy in the treatment of major depressive disorder: a meta-analysis of the sequential model and a critical review of the literature.   Am J Psychiatry. 2016;173(2):128-137. doi:10.1176/appi.ajp.2015.15040476 PubMedGoogle ScholarCrossref
11.
Kuyken  W , Byford  S , Taylor  RS ,  et al.  Mindfulness-based cognitive therapy to prevent relapse in recurrent depression.   J Consult Clin Psychol. 2008;76(6):966-978. doi:10.1037/a0013786 PubMedGoogle ScholarCrossref
12.
Segal  ZV , Bieling  P , Young  T ,  et al.  Antidepressant monotherapy vs sequential pharmacotherapy and mindfulness-based cognitive therapy, or placebo, for relapse prophylaxis in recurrent depression.   Arch Gen Psychiatry. 2010;67(12):1256-1264. doi:10.1001/archgenpsychiatry.2010.168 PubMedGoogle ScholarCrossref
13.
Geschwind  N , Peeters  F , Huibers  M , van Os  J , Wichers  M .  Efficacy of mindfulness-based cognitive therapy in relation to prior history of depression: randomised controlled trial.   Br J Psychiatry. 2012;201(4):320-325. doi:10.1192/bjp.bp.111.104851 PubMedGoogle ScholarCrossref
14.
Butler  M , Kane  RL , McAlpine  D ,  et al.  Integration of mental health/substance abuse and primary care. Rockville, MD: Agency for Healthcare Research and Quality. 2008.
15.
Kessler  RC , Berglund  P , Demler  O ,  et al; National Comorbidity Survey Replication.  The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R).   JAMA. 2003;289(23):3095-3105. doi:10.1001/jama.289.23.3095 PubMedGoogle ScholarCrossref
16.
Andrews  G , Issakidis  C , Sanderson  K , Corry  J , Lapsley  H .  Utilising survey data to inform public policy: comparison of the cost-effectiveness of treatment of ten mental disorders.   Br J Psychiatry. 2004;184(6):526-533. doi:10.1192/bjp.184.6.526 PubMedGoogle ScholarCrossref
17.
Weissman  MM , Verdeli  H , Gameroff  MJ ,  et al.  National survey of psychotherapy training in psychiatry, psychology, and social work.   Arch Gen Psychiatry. 2006;63(8):925-934. doi:10.1001/archpsyc.63.8.925 PubMedGoogle ScholarCrossref
18.
Buntrock  C , Ebert  DD , Lehr  D ,  et al.  Effect of a web-based guided self-help intervention for prevention of major depression in adults with subthreshold depression: a randomized clinical trial.   JAMA. 2016;315(17):1854-1863. doi:10.1001/jama.2016.4326 PubMedGoogle ScholarCrossref
19.
Compen  F , Bisseling  E , Schellekens  M ,  et al.  Face-to-face and internet-based mindfulness-based cognitive therapy compared with treatment as usual in reducing psychological distress in patients with cancer: a multicenter randomized controlled trial.   J Clin Oncol. 2018;36(23):2413-2421. doi:10.1200/JCO.2017.76.5669 PubMedGoogle ScholarCrossref
20.
Dimidjian  S , Beck  A , Felder  JN , Boggs  JM , Gallop  R , Segal  ZV .  Web-based mindfulness-based cognitive therapy for reducing residual depressive symptoms: an open trial and quasi-experimental comparison to propensity score matched controls.   Behav Res Ther. 2014;63:83-89. doi:10.1016/j.brat.2014.09.004 PubMedGoogle ScholarCrossref
21.
SAS Institute Inc.  SAS® 9.4 Language Reference: Concepts. 5th ed. Cary, NC: SAS Institute Inc; 2016.
22.
Manea  L , Gilbody  S , McMillan  D .  Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis.   CMAJ. 2012;184(3):E191-E196. doi:10.1503/cmaj.110829 PubMedGoogle ScholarCrossref
23.
Segal  ZV , Williams  JM , Teasdale  JD .  Mindfulness-Based Cognitive Therapy for Depression. 2nd ed. New York, NY: Guilford Press; 2013.
24.
Dirkx  JM .  The meaning and role of emotions in adult learning.   New Dir Adult Contin Educ. 2008;120:7-18. doi:10.1002/ace.311 Google ScholarCrossref
25.
Eastmond  DV .  Adult learners and internet-based distance education.   New Dir Adult Contin Educ. 1998;78:33-41. Google ScholarCrossref
26.
Rush  AJ , Trivedi  MH , Wisniewski  SR ,  et al.  Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report.   Am J Psychiatry. 2006;163(11):1905-1917. PubMedGoogle ScholarCrossref
27.
Levis  B , Benedetti  A , Thombs  BD ; DEPRESsion Screening Data (DEPRESSD) Collaboration.  Accuracy of Patient Health Questionnaire–9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis.   BMJ. 2019;365:l1476. PubMedGoogle ScholarCrossref
28.
Spitzer  RL , Kroenke  K , Williams  JBW , Löwe  B .  A brief measure for assessing generalized anxiety disorder: the GAD-7.   Arch Intern Med. 2006;166(10):1092-1097. doi:10.1001/archinte.166.10.1092 PubMedGoogle ScholarCrossref
29.
Ware  J  Jr , Kosinski  M , Keller  SD .  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.   Med Care. 1996;34(3):220-233. doi:10.1097/00005650-199603000-00003 PubMedGoogle ScholarCrossref
30.
Vannoy  SD , Arean  P , Unützer  J .  Advantages of using estimated depression-free days for evaluating treatment efficacy.   Psychiatr Serv. 2010;61(2):160-163. doi:10.1176/ps.2010.61.2.160 PubMedGoogle ScholarCrossref
31.
Raudenbush  SW , Bryk  AS .  Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. London, UK: Sage Publications; 2002.
32.
Hedeker  D , Gibbons  RD .  A random-effects ordinal regression model for multilevel analysis.   Biometrics. 1994;50(4):933-944. doi:10.2307/2533433 PubMedGoogle ScholarCrossref
33.
Keller  MB , McCullough  JP , Klein  DN ,  et al.  A comparison of nefazodone, the cognitive behavioral-analysis system of psychotherapy, and their combination for the treatment of chronic depression.   N Engl J Med. 2000;342(20):1462-1470. PubMedGoogle ScholarCrossref
34.
Collett  D .  Modelling Survival Data in Medical Research. London, England: Taylor & Francis; 2014.
35.
Feingold  A .  Effect sizes for growth-modeling analysis for controlled clinical trials in the same metric as for classical analysis.   Psychol Methods. 2009;14(1):43-53. doi:10.1037/a0014699 PubMedGoogle ScholarCrossref
36.
Yuan  Y .  Multiple imputation using SAS software.   J Stat Softw. 2011;45(6):1-25. Google ScholarCrossref
37.
Schafer  JL .  Multiple imputation: a primer.   Stat Methods Med Res. 1999;8(1):3-15. doi:10.1177/096228029900800102 PubMedGoogle ScholarCrossref
38.
Rubin  DB .  Multiple imputation for Nonresponse in Surveys. Hoboken, NJ: John Wiley & Sons; 2004.
39.
US Bureau of Labor Statistics. Occupational Employment and Wages, May 2018. https://www.bls.gov/oes/current/oes211091.htm. Updated March 29, 2019. Accessed July 5, 2019.
40.
Köhler-Forsberg  O , Cusin  C , Nierenberg  AA .  Evolving issues in the treatment of depression.   JAMA. 2019;321(24):2401-2402. doi:10.1001/jama.2019.4990 PubMedGoogle ScholarCrossref
41.
Mohr  DC , Lyon  AR , Lattie  EG , Reddy  M , Schueller  SM .  Accelerating digital mental health research from early design and creation to successful implementation and sustainment.   J Med Internet Res. 2017;19(5):e153. doi:10.2196/jmir.7725 PubMedGoogle Scholar
42.
Teasdale  JD , Moore  RG , Hayhurst  H , Pope  M , Williams  S , Segal  ZV .  Metacognitive awareness and prevention of relapse in depression: empirical evidence.   J Consult Clin Psychol. 2002;70(2):275-287. doi:10.1037/0022-006X.70.2.275 PubMedGoogle ScholarCrossref
43.
Kruijt  AW , Antypa  N , Booij  L ,  et al.  Cognitive reactivity, implicit associations, and the incidence of depression: a two-year prospective study.   PLoS One. 2013;8(7):e70245. doi:10.1371/journal.pone.0070245 PubMedGoogle Scholar
44.
Sheehan  DV , Nakagome  K , Asami  Y , Pappadopulos  EA , Boucher  M .  Restoring function in major depressive disorder: systematic review.   J Affect Disord. 2017;215:299-313. doi:10.1016/j.jad.2017.02.029 PubMedGoogle ScholarCrossref
45.
Lin  CH , Chou  LS , Chen  MC , Chen  CC .  The relationship between symptom relief and functional improvement during acute fluoxetine treatment for patients with major depressive disorder.   J Affect Disord. 2015;182:115-120. doi:10.1016/j.jad.2015.04.022 PubMedGoogle ScholarCrossref
46.
Kennedy  JC , Dunlop  BW , Craighead  LW , Nemeroff  CB , Mayberg  HS , Craighead  WE .  Follow-up of monotherapy remitters in the PReDICT study: maintenance treatment outcomes and clinical predictors of recurrence.   J Consult Clin Psychol. 2018;86(2):189-199. doi:10.1037/ccp0000279 PubMedGoogle ScholarCrossref
47.
Farabaugh  A , Alpert  J , Wisniewski  SR ,  et al.  Cognitive therapy for anxious depression in STAR(*) D: what have we learned?   J Affect Disord. 2012;142(1-3):213-218. PubMedGoogle ScholarCrossref
48.
Stewart  WF , Ricci  JA , Chee  E , Hahn  SR , Morganstein  D .  Cost of lost productive work time among US workers with depression.   JAMA. 2003;289(23):3135-3144. doi:10.1001/jama.289.23.3135 PubMedGoogle ScholarCrossref
49.
Beck  A , Crain  AL , Solberg  LI ,  et al.  Severity of depression and magnitude of productivity loss.   Ann Fam Med. 2011;9(4):305-311. doi:10.1370/afm.1260 PubMedGoogle ScholarCrossref
50.
Richards  D , Richardson  T .  Computer-based psychological treatments for depression: a systematic review and meta-analysis.   Clin Psychol Rev. 2012;32(4):329-342. doi:10.1016/j.cpr.2012.02.004 PubMedGoogle ScholarCrossref
51.
Ebert  DD , Buntrock  C , Lehr  D ,  et al.  Effectiveness of web- and mobile-based treatment of subthreshold depression with adherence-focused guidance: a single-blind randomized controlled trial.   Behav Ther. 2018;49(1):71-83. doi:10.1016/j.beth.2017.05.004 PubMedGoogle ScholarCrossref
52.
Gilbody  S , Bower  P , Fletcher  J , Richards  D , Sutton  AJ .  Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes.   Arch Intern Med. 2006;166(21):2314-2321. doi:10.1001/archinte.166.21.2314 PubMedGoogle ScholarCrossref
53.
Katon  W , Robinson  P , Von Korff  M ,  et al.  A multifaceted intervention to improve treatment of depression in primary care.   Arch Gen Psychiatry. 1996;53(10):924-932. doi:10.1001/archpsyc.1996.01830100072009 PubMedGoogle ScholarCrossref
AMA CME Accreditation Information

Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00  AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:

  • 1.00 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program;;
  • 1.00 Self-Assessment points in the American Board of Otolaryngology – Head and Neck Surgery’s (ABOHNS) Continuing Certification program;
  • 1.00 MOC points in the American Board of Pediatrics’ (ABP) Maintenance of Certification (MOC) program;
  • 1.00 Lifelong Learning points in the American Board of Pathology’s (ABPath) Continuing Certification program; and
  • 1.00 CME points in the American Board of Surgery’s (ABS) Continuing Certification program

It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.

Close
Want full access to the AMA Ed Hub?
After you sign up for AMA Membership, make sure you sign in or create a Physician account with the AMA in order to access all learning activities on the AMA Ed Hub
Buy this activity
Close
Want full access to the AMA Ed Hub?
After you sign up for AMA Membership, make sure you sign in or create a Physician account with the AMA in order to access all learning activities on the AMA Ed Hub
Buy this activity
Close
With a personal account, you can:
  • Access free activities and track your credits
  • Personalize content alerts
  • Customize your interests
  • Fully personalize your learning experience
Education Center Collection Sign In Modal Right
Close

Name Your Search

Save Search
With a personal account, you can:
  • Access free activities and track your credits
  • Personalize content alerts
  • Customize your interests
  • Fully personalize your learning experience
Close
Close

Lookup An Activity

or

My Saved Searches

You currently have no searches saved.

Close

My Saved Courses

You currently have no courses saved.

Close