Cited by 63Digital Mental Health InterventionsMindfulness and Compassion InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Web-Based Intervention in Mindfulness Meditation for Reducing Residual Depressive Symptoms and Relapse Prophylaxis: A Qualitative Study

Open access
Boggs, Jennifer M, Beck, Arne, Felder, Jennifer N, Dimidjian, Sona, Metcalf, Christina A, Segal, Zindel V·2014·Journal of Medical Internet Research

Abstract

BACKGROUND: Mindful Mood Balance (MMB) is a Web-based intervention designed to treat residual depressive symptoms and prevent relapse. MMB was designed to deliver the core concepts of mindfulness-based cognitive therapy (MBCT), a group treatment, which, despite its strong evidence base, faces a number of dissemination challenges. OBJECTIVE: The present study is a qualitative investigation of participants' experiences with MMB. METHODS: Qualitative content analysis was conducted via 38 exit interviews with MMB participants. Study inclusion required a current PHQ-9 (Patient Health Questionnaire) score ≤12 and lifetime history ≥1 major depressive episode. Feedback was obtained on specific website components, program content, and administration as well as skills learned. RESULTS: Codes were assigned to interview responses and organized into four main themes: MBCT Web content, MBCT Web-based group process, home practice, and evidence of concept comprehension. Within these four areas, participants highlighted the advantages and obstacles of translating and delivering MBCT in a Web-based format. Adding increased support was suggested for troubleshooting session content as well as managing time challenges for completing home mindfulness practice. Participants endorsed developing affect regulation skills and identified several advantages to Web-based delivery including flexibility, reduced cost, and time commitment. CONCLUSIONS: These findings support the viability of providing MBCT online and are consistent with prior qualitative accounts derived from in-person MBCT groups. While there is certainly room for innovation in the domains of program support and engagement, the high levels of participant satisfaction indicated that MMB can significantly increase access to evidence-based psychological treatments for sub-threshold symptoms of unipolar affective disorder.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2196/jmir.3129

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [16]Clarke G Eubanks D Reid E Kelleher C O'Connor E DeBar LL Lynch F Nunley S Gullion C Overcoming Depression on the Internet (ODIN) (2): a randomized trial of a self-help depression skills program with reminders J Med Internet Res 2005 7 2 e16 10.2196/jmir.7.2.e16 15998607 15998607 PMC1550641 · DOI · Paper page

Cited by

Sorted by citations

Authors
Boggs, J. M., Beck, A., Felder, J. N., Dimidjian, S., Metcalf, C. A., & Segal, Z. V.
Affiliations
  • Kaiser Permanente (US)
  • University of Colorado Boulder (US)
  • University of Toronto Scarborough (CA)
Corresponding author
Boggs, Jennifer M
Venue
Journal of Medical Internet Research
Published
2014-03-24
Volume
16
Issue
3
Pages
e87
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2016123511
Cited by
62
References
29
Citations by year
2026: 3 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 6 · 2020: 6 · 2019: 3 · 2018: 6 · 2017: 9 · 2016: 12 · 2015: 4 · 2014: 1
FWCI
13.43
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Kaiser Permanente
  • National Institute of Mental Health (R34MH087723, R21 MH087723-01A1)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
mindfulness-based cognitive therapy, online intervention, residual depressive symptoms, relapse prevention, participant experiences, emotion regulation, dissemination of evidence-based treatment, online group therapy, access to psychological treatment
MeSH terms
Adult, Depression, Major Depressive Disorder, Female, Humans, Interviews as Topic, Male, Middle Aged, Psychotherapy, Group, Telemedicine, Internet, Qualitative Research, Secondary Prevention, Mindfulness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review