Evidence map›Paper›PMID 34320822›Full record

Trial reportPsychiatric services (Washington, D.C.)2022

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

Jennifer M Boggs, Debra P Ritzwoller, Arne Beck, Sona Dimidjian, Zindel V Segal

Open access · greenAbstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in Psychiatric services (Washington, D.C.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jennifer M BoggsInstitute for Health Research, Kaiser Permanente Colorado, Aurora (Boggs, Ritzwoller, Beck); Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder (Dimidjian); Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto (Segal).
Debra P RitzwollerInstitute for Health Research, Kaiser Permanente Colorado, Aurora (Boggs, Ritzwoller, Beck); Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder (Dimidjian); Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto (Segal).
Arne BeckInstitute for Health Research, Kaiser Permanente Colorado, Aurora (Boggs, Ritzwoller, Beck); Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder (Dimidjian); Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto (Segal).
Sona DimidjianInstitute for Health Research, Kaiser Permanente Colorado, Aurora (Boggs, Ritzwoller, Beck); Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder (Dimidjian); Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto (Segal).
Zindel V SegalInstitute for Health Research, Kaiser Permanente Colorado, Aurora (Boggs, Ritzwoller, Beck); Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder (Dimidjian); Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto (Segal).
University of Colorado Hospital · US

Funding

Reducing residual depressive symptoms with web-based Mindful Mood BalanceR01MH102229 · NIMH · UNIVERSITY OF TORONTO · PI SEGAL, ZINDEL · 2014 to 2017
$1.8M
NIMH NIH HHS R01 MH102229
6 · The paper itself

Abstract

objectiveMindful 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.

methodsAdults 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.

resultsA 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.

conclusionsMMB 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.

Indexed as

DepressionMajor Depressive DisorderAdultAgedChronic DiseaseCost-Benefit AnalysisDisease ProgressionHumansInternetMedicareRecurrenceTreatment OutcomeUnited StatesCost-effectiveness analysisDepression

Identifiers

PMID34320822
PMCPMC8799770
OpenAlexW3186659817

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.