Literature DB >> 34320822

Cost-Effectiveness of a Web-Based Program for Residual Depressive Symptoms: Mindful Mood Balance.

Jennifer M Boggs1, Debra P Ritzwoller1, Arne Beck1, Sona Dimidjian1, Zindel V Segal1.   

Abstract

OBJECTIVE: Mindful Mood Balance (MMB) is an effective Web-based program for residual depressive symptoms that prevents relapse among patients with partial recovery from major depressive episodes. This cost-effectiveness analysis was conducted from the health plan perspective alongside a pragmatic randomized controlled trial of MMB.
METHODS: Adults were recruited from behavioral health and primary care settings in a large integrated health system and randomly assigned to MMB plus usual depression care (MMB+UDC) or UDC. Patients had at least one prior major depressive episode; a current score of 5-9 on the Patient Health Questionnaire-9, indicating residual depressive symptoms; and Internet access. Program costs included recruitment, coaching, and MMB licensing. Center for Medicare and Medicaid fee schedules were applied to electronic health record utilization data for psychotropic medications and psychiatric and psychotherapy visits. Effectiveness was measured as depression-free days (DFDs), converted from PHQ-9 scores collected monthly for 1 year. Incremental cost-effectiveness ratios were calculated with various sets of cost inputs.
RESULTS: A total of 389 patients (UDC, N=210; MMB+UDC, N=179) had adequate follow-up PHQ-9 measures for inclusion. MMB+UDC patients had 29 more DFDs during follow-up. Overall, the incremental cost of MMB+UDC was $431.54 over 12 months. Incremental costs per DFD gained ranged from $9.63 for program costs only to $15.04 when psychiatric visits, psychotherapy visits, and psychotropic medications were included.
CONCLUSIONS: MMB offers a cost-effective Web-based program for reducing residual depressive symptoms and preventing relapse. Health systems should consider adopting MMB as adjunctive to traditional mental health care services.

Entities:  

Keywords:  Cost-effectiveness analysis; Depression

Mesh:

Year:  2021        PMID: 34320822      PMCID: PMC8799770          DOI: 10.1176/appi.ps.202000419

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  34 in total

1.  Depression Is the Leading Cause of Disability Around the World.

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2.  Cost-effectiveness of a collaborative care program for primary care patients with persistent depression.

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3.  Cost-effectiveness of therapist-delivered online cognitive-behavioural therapy for depression: randomised controlled trial.

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4.  Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy.

Authors:  J D Teasdale; Z V Segal; J M Williams; V A Ridgeway; J M Soulsby; M A Lau
Journal:  J Consult Clin Psychol       Date:  2000-08

5.  Advantages of using estimated depression-free days for evaluating treatment efficacy.

Authors:  Steven D Vannoy; Patricia Arean; Jürgen Unützer
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Authors:  Philip S Wang; Gregory Simon; Ronald C Kessler
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7.  The societal cost of depression: evidence from 10,000 Swedish patients in psychiatric care.

Authors:  M Ekman; O Granström; S Omérov; J Jacob; M Landén
Journal:  J Affect Disord       Date:  2013-04-21       Impact factor: 4.839

8.  Cost-effectiveness of computerised cognitive-behavioural therapy for anxiety and depression in primary care: randomised controlled trial.

Authors:  Paul McCrone; Martin Knapp; Judith Proudfoot; Clash Ryden; Kate Cavanagh; David A Shapiro; Sophie Ilson; Jeffrey A Gray; David Goldberg; Anthony Mann; Isaac Marks; Brian Everitt; Andre Tylee
Journal:  Br J Psychiatry       Date:  2004-07       Impact factor: 9.319

9.  Web-based intervention in mindfulness meditation for reducing residual depressive symptoms and relapse prophylaxis: a qualitative study.

Authors:  Jennifer M Boggs; Arne Beck; Jennifer N Felder; Sona Dimidjian; Christina A Metcalf; Zindel V Segal
Journal:  J Med Internet Res       Date:  2014-03-24       Impact factor: 5.428

10.  Efficacy of Mindfulness-Based Cognitive Therapy in Prevention of Depressive Relapse: An Individual Patient Data Meta-analysis From Randomized Trials.

Authors:  Willem Kuyken; Fiona C Warren; Rod S Taylor; Ben Whalley; Catherine Crane; Guido Bondolfi; Rachel Hayes; Marloes Huijbers; Helen Ma; Susanne Schweizer; Zindel Segal; Anne Speckens; John D Teasdale; Kees Van Heeringen; Mark Williams; Sarah Byford; Richard Byng; Tim Dalgleish
Journal:  JAMA Psychiatry       Date:  2016-06-01       Impact factor: 21.596

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1.  Changes in healthcare costs following engagement with a virtual mental health system: a matched cohort study of healthcare claims data.

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