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A Randomized Wait-List Controlled Trial of Feasibility and Efficacy of an Online Mindfulness–Based Cancer Recovery Program: The eTherapy for Cancer Applying Mindfulness Trial
Abstract
OBJECTIVE: A treatment-as-usual randomized wait-list controlled trial was conducted to investigate the feasibility and impact of an online synchronous Mindfulness-Based Cancer Recovery (MBCR) group program for underserved distressed cancer survivors. METHODS: Sixty-two men and women exhibiting moderate to high distress within 3 years of completing primary cancer treatment without access to in-person MBCR were randomized to either immediate online MBCR (n = 30) or to wait for the next available program (n = 32). Participants completed questionnaires preintervention and postintervention or wait period online. Program evaluations were completed after MBCR. Feasibility was tracked through monitoring eligibility and participation through the protocol. Intent-to-treat mixed-model analyses for repeated measures were conducted. RESULTS: Feasibility targets for recruitment and retention were achieved, and participants were satisfied and would recommend online MBCR. There were significant improvements and moderate Cohen d effect sizes in the online MBCR group relative to controls after MBCR for total scores of mood disturbance (d = 0.44, p = .049), stress symptoms (d = 0.49, p = .021), spirituality (d = 0.37, p = .040), and mindfully acting with awareness (d = 0.50, p = .026). Main effects of time were observed for posttraumatic growth and remaining mindfulness facets. CONCLUSIONS: Results provide evidence for the feasibility and efficacy of an online adaptation of MBCR for the reduction of mood disturbance and stress symptoms, as well as an increase in spirituality and mindfully acting with awareness compared with a treatment-as-usual wait-list. Future study using larger active control RCT designs is warranted. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01476891.
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“Recently, internet-delivered Mindfulness-Based Interventions (iMBIs) has also shown to be efficacious in treating psychological distress among cancer patients and –survivors (Nissen et al., 2020; Compen et al., 2018; Zernicke et al., 2014; Bruggemann-Everts et al., 2015; Matis et al., 2020)”
From Internet-delivered Mindfulness-Based Cognitive Therapy for anxiety and depression in cancer survivors: Predictors of treatment response (2021) · cites this paper as Zernicke et al., 2014
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Metadata
- Authors
- Zernicke, K. A., Campbell, T. S., Speca, M., McCabe-Ruff, K., Flowers, S., & Carlson, L. E.
- Affiliations
- University of Calgary (CA)
- Corresponding author
- Carlson, Linda E.
- Venue
- Psychosomatic Medicine
- Published
- 2014-05
- Volume
- 76
- Issue
- 4
- Pages
- 257-267
- ISSN
- 0033-3174 (ISSN-L)
- OpenAlex
- W1999813264
- Cited by
- 187
- References
- 55
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 9 · 2023: 14 · 2022: 26 · 2021: 25 · 2020: 22 · 2019: 14 · 2018: 18 · 2017: 20 · 2016: 13 · 2015: 8 · 2014: 3
- FWCI
- 7.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychosomatic Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- online group intervention, cancer survivors, psychological distress, mood disturbance, stress symptoms, spirituality, posttraumatic growth, feasibility, underserved populations, telemedicine
- MeSH terms
- Adaptation, Psychological, Adult, Aged, Awareness, Feasibility Studies, Female, Humans, Male, Middle Aged, Neoplasms, Patient Acceptance of Health Care, Psychotherapy, Group, Surveys and Questionnaires, Stress, Psychological, Waiting Lists, Linear Models, Treatment Outcome, Telemedicine, Survivors, Internet, Spirituality, Intention to Treat Analysis, 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 ›
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