Predictors and Effects of Usage of an Online Mindfulness Intervention for Distressed Cancer Patients: Usability Study
Open accessPublished version of a preprint
Abstract
BACKGROUND One in three cancer patients experience high psychological distress. Mindfulness-based interventions are effective in reducing psychological distress in this patient group. However, these interventions lack availability and flexibility, which may compromise participation in the intervention for cancer patients experiencing late symptoms like fatigue or pain. Therefore, mindfulness-based interventions are increasingly offered via the internet. However, little is known about the usage of these online mindfulness-based interventions. OBJECTIVE The aim of this study was to (1) predict uptake of and adherence to online mindfulness-based cognitive therapy (eMBCT) using baseline patient characteristics (demographic, cancer-related, personality, and psychological variables) and (2) examine the relations between adherence and treatment outcomes in eMBCT for cancer patients. METHODS A total of 125 cancer patients were assigned to eMBCT in a parent randomized controlled trial comparing MBCT and eMBCT with treatment as usual in distressed cancer patients. Various usage measures of eMBCT were automatically tracked within the online program. Based on activity of use, participants were classified as nonusers, minimal users, low users, and intended users. Questionnaires were used to assess baseline characteristics (preintervention) and outcomes (pre- and postintervention). To answer the research questions, data were analyzed with t tests, χ2 tests, and linear regression models. RESULTS Based on weekly activity, participants were classified as nonusers (n=17, 13.6%), who completed no exercises in MBCT; minimal users (n=31, 24.8%), who completed at least one exercise of one to three sessions; low users (n=12, 9.6%), who completed at least one exercise of four to seven sessions; and intended users (n=65, 52.0%), who completed at least one exercise of eight to nine sessions. Nonusers had more fear of cancer recurrence at baseline than users (uptake), and intended users were more conscientious than minimal and low users (adherence). Intended users reported a larger reduction in psychological distress and more improvement of positive mental health (ie, emotional, psychological, and social well-being) after the intervention than other participants. CONCLUSIONS This study showed that adherence was related to improved patient outcomes. Patients with strong fear of recurrence or low levels of conscientiousness should receive extra attention, as they are less likely to respectively start or complete eMBCT. Future research may focus on the development of flexible and adaptive eMBCT programs to fit individual needs.
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.
Integrity signals
Registry
Cites
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.
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?
The finding that conscientiousness predicted uptake is broadly consistent with the Cillessen et al. (2020) study of people living with cancer, which found that conscientiousness predicted uptake of an online mindfulness intervention.
“This finding is broadly consistent with the Cillessen et al. (2020) study of people living with cancer, which found that conscientiousness predicted uptake of an online mindfulness intervention.”
From Predictors of acceptability and engagement in a self-guided online program for depression and anxiety (2021) · cites this paper as Cillessen et al., 2020
In Results > Prediction of Uptake and Adherence (page unavailable), conscientiousness did not differ meaningfully between users and nonusers (P=.69), contrary to the claimed prediction of uptake. The same section instead associates conscientiousness with adherence among those who used the intervention (P=.04); the Discussion identifies fear of cancer recurrence as the predictor of uptake. (LLM, conf=0.91)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredOlder age was associated with greater iConquerFear engagement, consistent with findings that old age was not a predictor of engagement but a predictor of uptake.
“However, older age was associated with greater iConquerFear engagement [51], which was consistent with Cillessen et al.’s [64] findings that old age was not a predictor of engagement, but a predictor of uptake.”
From Web-based interventions for fear of cancer recurrence: A scoping review with a focus on suggestions for the development and evaluation of future interventions (2024) · cites this paper as [64]
In Results > Prediction of Uptake and Adherence, the paper reports no adherence-group differences other than conscientiousness, supporting the finding that age did not predict engagement. But its uptake comparison also found no significant age difference between users and nonusers (P=.30), so the claim that age predicted uptake is not supported by Cillessen et al. (LLM, conf=0.90)
Experimental — accuracy not yet measuredSome aspects of intervention content, such as meditation practice, were not possible to track and were based on self-report, which cannot be held to be objectively accurate.
“However, some aspects of intervention content were not possible to track, such as meditation practice [39, 64] and were based on self-report, which cannot be held to be objectively accurate.”
From Web-based interventions for fear of cancer recurrence: A scoping review with a focus on suggestions for the development and evaluation of future interventions (2024) · cites this paper as [64]
The Discussion (page not available) says website logs could miss meditation done with downloaded audio or on YouTube, so the authors could not be sure they measured actual meditation practice. The Methods > Intervention section describes participants recording their experiences of meditation, but the paper does not say that meditation practice was measured by self-report or assess the accuracy of such reports. (LLM, conf=0.85)
Experimental — accuracy not yet measuredOne study found both uptake and adherence to an online mindfulness intervention with therapist support for psychological distress in people with cancer were predicted by conscientiousness.
“One study by Cillessen et al. (2020) that examined an online mindfulness intervention with therapist support for psychological distress in people with cancer found that both uptake and adherence were predicted by the personality trait of conscientiousness.”
From Predictors of acceptability and engagement in a self-guided online program for depression and anxiety (2021) · cites this paper as Cillessen et al. (2020)
The Discussion reports that low conscientiousness predicted difficulty completing eMBCT, supporting the adherence part. It identifies fear of cancer recurrence—not conscientiousness—as a predictor of uptake; the Results table shows no significant difference in conscientiousness between users and nonusers (P=.69). (LLM, conf=0.93)
Experimental — accuracy not yet measuredIn the long term, the reduction of psychological distress was significantly higher in eMBCT than in MBCT.
“In the long term, the reduction of psychological distress was significantly higher in eMBCT than in MBCT [64].”
Adherence and finishing rates in the reviewed studies varied: 44% in BREATH, about half in BeMind, 70% in AIM-FBCR, 83% in MindOnline, and 50% in iHOPE.
“Where addressed, the adherence and finishing rates in our reviewed studies varied: 44% in BREATH study [33], ‘about half’ in BeMind study [64], 70% in AIM-FBCR [32], 83% in MindOnline [36]. 50% in iHOPE intervention [52].”
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
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139 · see citing works
The mental health continuum: from languishing to flourishing in life.
Keyes, C. L. M. (2002) · Journal of Health and Social Behavior · doi:10.2307/3090197 · Cited by 5,133 · cited 1× · see citing works
“Positive mental health was measured with the Mental Health Continuum Short Form (MHC-SF), a 14-item questionnaire measuring emotional, psychological, and social well-being (theoretical range 0-70) [43].”
Method(2001) · Cited by 3,666 · see citing works
Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy.
Teasdale, J. D., Segal, Z. V., Williams, J. M. G., Ridgeway, V. A., Soulsby, J. M., & Lau, M. A. (2000) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.68.4.615 · Cited by 3,236 · see citing works
(2005) · Medical Entomology and Zoology · Cited by 3,197 · see citing works
Wherever you go, there you are: Mindfulness meditation in everyday life
Kwee, M. G. T. (1995) · Behaviour Research and Therapy · doi:10.1016/0005-7967(95)90133-7 · Cited by 2,900 · see citing works
SPINHOVEN, P., ORMEL, J., SLOEKERS, P. P. A., KEMPEN, G. I. J. M., SPECKENS, A. E. M., & HEMERT, A. M. V. (1997) · Psychological Medicine · doi:10.1017/s0033291796004382 · Cited by 2,158 · see citing works
Self-citationTrapnell, P. D., & Campbell, J. D. (1999) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.76.2.284 · Cited by 1,914 · see citing works
Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI)
Costa, P. T., & McCrea, R. B. (1992) · Medical Entomology and Zoology · Cited by 1,758 · see citing works
Trapnell, P. D., & Campbell, J. D. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.2.284 · Cited by 1,646 · see citing works
Evaluating the psychometric properties of the mental health continuum-short form (MHC-SF)
Lamers, S. M. A., Westerhof, G. J., Bohlmeijer, E. T., ten Klooster, P. M., & Keyes, C. L. M. (2011) · Journal of Clinical Psychology · doi:10.1002/jclp.20741 · Cited by 1,402 · see citing works
Mindfulness-based cognitive therapy for depression
TEASDALE, J. D. (2006) · Routledge eBooks · doi:10.4324/9780203098899-33 · Cited by 1,331 · see citing works
Fear of cancer recurrence in adult cancer survivors: a systematic review of quantitative studies
Simard, S., Thewes, B., Humphris, G., Dixon, M., Hayden, C., Mireskandari, S., & Ozakinci, G. (2013) · Journal of Cancer Survivorship · doi:10.1007/s11764-013-0272-z · Cited by 1,217 · see citing works
Mindfulness-Based Cognitive Therapy for Depression: A New Approach to Preventing Relapse
Morgan, D. (2003) · Psychotherapy Research · doi:10.1080/713869628 · Cited by 1,203 · see citing works
Collins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.01.022 · Cited by 1,082 · see citing works
Mindfulness-based cognitive therapy for depression
Kumari, D., & Satyapal, N. (2024) · Industrial Psychiatry Journal · doi:10.4103/ipj.ipj_127_24 · Cited by 1,005 · see citing works
Bohlmeijer, E., ten Klooster, P. M., Fledderus, M., Veehof, M., & Baer, R. (2011) · Assessment · doi:10.1177/1073191111408231 · Cited by 990 · cited 1× · see citing works
“Mindfulness skills were measured with the Five Facet Mindfulness Questionnaire Short Form (FFMQ-SF), a 24-item self-report questionnaire [39].”
MethodSpijkerman, M. P. J., Pots, W. T. M., & Bohlmeijer, E. T. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.03.009 · Cited by 975 · cited 1× · see citing works
“A recent meta-analysis of online MBIs in various populations showed moderate effects on stress and small effects on depression and anxiety [14].”
BackgroundHigh levels of untreated distress and fatigue in cancer patients
Carlson, L. E., Angen, M., Cullum, J., Goodey, E., Koopmans, J., Lamont, L., MacRae, J. H., Martin, M., Pelletier, G., Robinson, J., et al. (2004) · British Journal of Cancer · doi:10.1038/sj.bjc.6601887 · Cited by 939 · see citing works
Mindfulness-based cognitive therapy to prevent relapse in recurrent depression.
Kuyken, W., Byford, S., Taylor, R. S., Watkins, E., Holden, E., White, K., Barrett, B., Byng, R., Evans, A., Mullan, E., et al. (2008) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0013786 · Cited by 770 · see citing works
Simard, S., & Savard, J. (2009) · Supportive Care in Cancer · doi:10.1007/s00520-008-0444-y · Cited by 608 · see citing works
An experimental design for the development of adaptive treatment strategies
Murphy, S. A. (2005) · Statistics in Medicine · doi:10.1002/sim.2022 · Cited by 595 · see citing works
Mindfulness, Big Five personality, and affect: A meta-analysis
Giluk, T. L. (2009) · Personality and Individual Differences · doi:10.1016/j.paid.2009.06.026 · Cited by 593 · see citing works
A Behavior Change Model for Internet Interventions
Ritterband, L. M., Thorndike, F. P., Cox, D. J., Kovatchev, B. P., & Gonder-Frederick, L. A. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9133-4 · Cited by 591 · cited 1× · see citing works
“A proposed behavioral change model for internet interventions suggests that adherence is not only determined by personal characteristics, but also by environmental factors, support, and website characteristics [52], which we also showed in a qualitative study on eMBCT [47].”
BackgroundParsons, C. E., Crane, C., Parsons, L. J., Fjorback, L. O., & Kuyken, W. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.05.004 · Cited by 550 · cited 10× · see citing works
“The two most widely used MBIs (mindfulness-based stress reduction [MBSR] and mindfulness-based cognitive therapy [MBCT]) are usually delivered as group interventions with eight weekly group meetings and a silent day [6,7].”
BackgroundResultInfluentialScreening for emotional distress in cancer patients: a systematic review of assessment instruments
Vodermaier, A., Linden, W., & Siu, C. (2009) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djp336 · Cited by 541 · see citing works
Evidence Report on the Occurrence, Assessment, and Treatment of Fatigue in Cancer Patients
Lawrence, D. P. (2004) · JNCI Monographs · doi:10.1093/jncimonographs/lgh027 · Cited by 396 · see citing works
Mitchell, A. J., Meader, N., & Symonds, P. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.01.067 · Cited by 394 · see citing works
Beatty, L., & Binnion, C. (2016) · International Journal of Behavioral Medicine · doi:10.1007/s12529-016-9556-9 · Cited by 347 · see citing works
Cillessen, L., Johannsen, M., Speckens, A. E. M., & Zachariae, R. (2019) · Psycho-Oncology · doi:10.1002/pon.5214 · Cited by 326 · cited 1× · see citing works
“Mindfulness-based interventions (MBIs) can help to reduce psychological distress in cancer patients, as shown in several large meta-analyses [3,4].”
BackgroundSelf-citationHaller, H., Winkler, M. M., Klose, P., Dobos, G., Kümmel, S., & Cramer, H. (2017) · Acta Oncologica · doi:10.1080/0284186x.2017.1342862 · Cited by 277 · see citing works
Ebert, D. D., Berking, M., Cuijpers, P., Lehr, D., Pörtner, M., & Baumeister, H. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.01.056 · Cited by 268 · cited 1× · see citing works
“A study on an internet-based intervention for depressive symptoms in primary care showed that a brief preparatory informational video increased acceptance of the intervention [48].”
BackgroundCompen, F., Bisseling, E., Schellekens, M., Donders, R., Carlson, L., van der Lee, M., & Speckens, A. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.76.5669 · Cited by 248 · see citing works
Self-citationEstablishing Guidelines for Executing and Reporting Internet Intervention Research
Proudfoot, J., Klein, B., Barak, A., Carlbring, P., Cuijpers, P., Lange, A., Ritterband, L., & Andersson, G. (2011) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2011.573807 · Cited by 202 · see citing works
Donkin, L., Hickie, I. B., Christensen, H., Naismith, S. L., Neal, B., Cockayne, N. L., & Glozier, N. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2771 · Cited by 193 · see citing works
Zernicke, K. A., Campbell, T. S., Speca, M., McCabe-Ruff, K., Flowers, S., & Carlson, L. E. (2014) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000053 · Cited by 187 · see citing works
Crutzen, R., de Nooijer, J., Brouwer, W., Oenema, A., Brug, J., & de Vries, N. K. (2011) · Health Education & Behavior · doi:10.1177/1090198110372878 · Cited by 158 · see citing works
Internet and psychological treatment. How well can they be combined?
Carlbring, P., & Andersson, G. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2004.10.009 · Cited by 151 · see citing works
van den Hurk, P. A. M., Wingens, T., Giommi, F., Barendregt, H. P., Speckens, A. E. M., & van Schie, H. T. (2011) · Mindfulness · doi:10.1007/s12671-011-0060-7 · Cited by 135 · see citing works
Pain at 12 Months After Surgery for Breast Cancer
Meretoja, T. J., Leidenius, M., Tasmuth, T., Sipilä, R. M., & Kalso, E. A. (2013) · JAMA · doi:10.1001/jama.2013.278795 · Cited by 122 · see citing works
Allan, J., Sniehotta, F. F., & Johnston, M. (2013) · Annals of Behavioral Medicine · doi:10.1007/s12160-013-9483-9 · Cited by 109 · see citing works
Bruggeman-Everts, F. Z., Wolvers, M. D. J., van de Schoot, R., Vollenbroek-Hutten, M. M. R., & van der Lee, M. L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7180 · Cited by 104 · see citing works
van den Hurk, D. G. M., Schellekens, M. P. J., Molema, J., Speckens, A. E. M., & van der Drift, M. A. (2015) · Palliative Medicine · doi:10.1177/0269216315572720 · Cited by 95 · see citing works
Self-citationRevised NEO Personality Inventory
(1992) · PsycTESTS Dataset · doi:10.1037/t03907-000 · Cited by 88 · see citing works
Enrique, A., Palacios, J. E., Ryan, H., & Richards, D. (2019) · Journal of Medical Internet Research · doi:10.2196/12775 · Cited by 81 · cited 1× · see citing works
“Usage is relevant to address, as it directly relates to intervention outcomes [20] and can help to optimize interventions [21].”
BackgroundEnhancing Clinicians' Well-Being and Patient-Centered Care Through Mindfulness
Dobkin, P. L., Bernardi, N. F., & Bagnis, C. I. (2016) · Journal of Continuing Education in the Health Professions · doi:10.1097/ceh.0000000000000021 · Cited by 66 · see citing works
Cillessen, L., Schellekens, M. P. J., Van de Ven, M. O. M., Donders, A. R. T., Compen, F. R., Bisseling, E. M., Van der Lee, M. L., & Speckens, A. E. M. (2018) · Acta Oncologica · doi:10.1080/0284186x.2018.1479071 · Cited by 66 · cited 4× · see citing works
“As we previously found that participants with low conscientiousness had better results in eMBCT compared with regular group MBCT [18], more individual feedback by a mindfulness teacher might support them.”
BackgroundMethodResultInfluentialSelf-citationWeb-based individual Mindfulness-Based Cognitive Therapy for cancer-related fatigue — A pilot study
Bruggeman-Everts, F. Z., van der Lee, M. L., & Meezenbroek, E. D. J. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.03.004 · Cited by 60 · see citing works
van Helmondt, S. J., van der Lee, M. L., van Woezik, R. A. M., Lodder, P., & de Vries, J. (2020) · Psycho-Oncology · doi:10.1002/pon.5233 · Cited by 58 · see citing works
van den Berg, S. W., Peters, E. J., Kraaijeveld, J. F., Gielissen, M. F., & Prins, J. B. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2566 · Cited by 53 · see citing works
Beatty, L., Kemp, E., Binnion, C., Turner, J., Milne, D., Butow, P., Lambert, S., Yates, P., Yip, D., & Koczwara, B. (2017) · Supportive Care in Cancer · doi:10.1007/s00520-017-3591-1 · Cited by 46 · see citing works
Compen, F. R., Bisseling, E. M., Schellekens, M. P., Jansen, E. T., van der Lee, M. L., & Speckens, A. E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7783 · Cited by 38 · see citing works
Self-citationCompen, F. R., Adang, E., Bisseling, E., van der Lee, M. L., & Speckens, A. E. M. (2019) · Psycho-Oncology · doi:10.1002/pon.5246 · Cited by 38 · see citing works
Self-citationElliston, P. (2002) · Spirituality and Health International · doi:10.1002/shi.90 · Cited by 32 · see citing works
Translation and validation of the Dutch version of the Fear of Cancer Recurrence Inventory (FCRI-NL)
van Helmondt, S. J., van der Lee, M. L., & de Vries, J. (2017) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2017.09.001 · Cited by 31 · see citing works
Persistent pain after breast cancer treatment.
Smith, H. S., & Wu, S. (2012) · PubMed · doi:10.3978/j.issn.2224-5820.2012.10.13 · Cited by 30 · see citing works
Compen, F. R., Bisseling, E., van der Lee, M. L., Adang, E., Donders, A. R. T., & Speckens, A. E. M. (2015) · BMC Psychology · doi:10.1186/s40359-015-0084-1 · Cited by 29 · see citing works
Self-citationPersistent Pain After Breast Cancer Treatment
Andersen, K. G., & Kehlet, H. (2013) · Oxford University Press eBooks · doi:10.1093/med/9780199796410.003.0013 · Cited by 23 · see citing works
Computerised therapy for psychiatric disorders
Christensen, H. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61065-4 · Cited by 20 · see citing works
Villaume, K., Tafvelin, S., & Hasson, D. (2018) · International Journal of Workplace Health Management · doi:10.1108/ijwhm-11-2017-0092 · Cited by 4 · see citing works
The prevalence of psychological distress by cancer site
Zabora, J., BrintzenhofeSzoc, K., Curbow, B., Hooker, C., & Piantadosi, S. (2001) · Psycho-Oncology · doi:10.1002/1099-1611(200101/02)10:1
Flagged first, then by citations
Research works printed but not linked: 1
- [5]Kabat-Zinn J Full Catastrophe Living, Revised Edition: How to cope with stress, pain and illness using mindfulness meditation 2013 UK Hachette
Cited by
Sorted by citations
Gan, D. Z. Q., McGillivray, L., Han, J., Christensen, H., & Torok, M. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.764079 · Cited by 305 · see citing works
Elkefi, S., Trapani, D., & Ryan, S. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105065 · Cited by 64 · see citing works
Bricker, J. B., Mull, K. E., Santiago-Torres, M., Miao, Z., Perski, O., & Di, C. (2022) · Journal of Medical Internet Research · doi:10.2196/39208 · Cited by 44 · see citing works
Gulliver, A., Calear, A. L., Sunderland, M., Kay-Lambkin, F., Farrer, L. M., & Batterham, P. J. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100400 · Cited by 44 · see citing works
Pan, L., Wu, X., Lu, Y., Zhang, H., Zhou, Y., Liu, X., Liu, S., & Yan, Q. (2022) · Asia-Pacific Journal of Oncology Nursing · doi:10.1016/j.apjon.2022.100127 · Cited by 51 · see citing works
Cross, S. P. M., & Álvarez‐Jiménez, M. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1382726 · Cited by 43 · see citing works
Brotto, L. A., Stephenson, K. R., & Zippan, N. (2022) · Mindfulness · doi:10.1007/s12671-021-01820-4 · Cited by 40 · see citing works
Zhang, Y., Tang, R., Bi, L., Wang, D., Li, X., Gu, F., Han, J., & Shi, M. (2023) · Supportive Care in Cancer · doi:10.1007/s00520-023-08053-2 · Cited by 31 · see citing works
Tian, X., Yi, L.-J., Liang, C.-S.-S., Gu, L., Peng, C., Chen, G., & Herrera, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.901247 · Cited by 33 · see citing works
Elices, M., Pérez, V., Pérez‐Aranda, A., Colom, F., Polo, M., Martín‐Lopez, L. M., & Gárriz, M. (2021) · Mindfulness · doi:10.1007/s12671-021-01794-3 · Cited by 24 · see citing works
Smith, A. ‘., Bamgboje‐Ayodele, A., Jegathees, S., Butow, P., Klein, B., Salter, M., Turner, J., Fardell, J., Thewes, B., Sharpe, L., et al. (2024) · Journal of Cancer Survivorship · doi:10.1007/s11764-022-01233-9 · Cited by 23 · see citing works
Wang, T., Tang, C., Jiang, X., Guo, Y., Zhu, S., & Xu, Q. (2024) · Journal of Medical Internet Research · doi:10.2196/47704 · Cited by 20 · see citing works
Dai, Z., Wang, H., Xiao, W., Huang, Y., Si, M., Fu, J., Xu, C., Jia, M., Leng, Z., Cui, D., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.062 · Cited by 17 · see citing works
Hall, D. L., Levine, B. J., Jeter, E., Chandler, A. M., Tooze, J. A., Duffecy, J., Victorson, D. E., Gradishar, W. J., Leach, J. W., Saphner, T. J., et al. (2022) · Journal of Behavioral Medicine · doi:10.1007/s10865-022-00349-8 · Cited by 13 · see citing works
Kenny-Jones, M., Nankivell, P., Mehanna, H. M., & Özakinci, G. (2024) · Current Oncology · doi:10.3390/curroncol31120559 · Cited by 12 · see citing works
Patient preference attributes in eHealth interventions for cancer‐related fatigue: A scoping review
Beenhakker, L., Witteveen, A., Wijlens, K. A. E., Siemerink, E., van der Lee, M. L., Bode, C., Siesling, S., & Vollenbroek-Hutten, M. M. R. (2022) · European Journal of Cancer Care · doi:10.1111/ecc.13754 · Cited by 12 · see citing works
Tsoi, E. W. S., Mak, W. W. S., Ho, C. Y. Y., & Yeung, G. T. Y. (2022) · JMIR Human Factors · doi:10.2196/35057 · Cited by 10 · see citing works
Malandrone, F., Urru, S., Berchialla, P., Rossini, P. G., Oliva, F., Bianchi, S., Ottaviano, M., Gonzalez-Martinez, S., Carli, V., Valenza, G., et al. (2024) · JMIR Mental Health · doi:10.2196/57415 · Cited by 9 · see citing works
Igelström, H., Carlsson, M. E., Hauffman, A., von Essén, L., Grönqvist, H., Johansson, B., & Olsson, E. M. G. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100625 · Cited by 13 · see citing works
Zhang, Y., Tang, R., Wang, D., Li, X., Bi, L., Shi, M., & Han, J. (2025) · BMC Psychology · doi:10.1186/s40359-025-02632-0 · Cited by 7 · see citing works
McCloy, K., Hughes, C., Dunwoody, L., Marley, J., Cleland, I., Cruciani, F., Saunders, C., & Gracey, J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0278252 · Cited by 6 · see citing works
Reed, S. C., Berrett‐Abebe, J., Whitney, R. L., Sarkar, S., & Bell, J. F. (2021) · Journal of Psychosocial Oncology Research and Practice · doi:10.1097/or9.0000000000000064 · Cited by 6 · see citing works
A holistic profile for cancer-related fatigue for women with breast cancer – a qualitative study
Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siemerink, E., Jansen, L., Gernaat, C., Schellekens, M. P. J., Siesling, S., Vollenbroek-Hutten, M. M. R., & Bode, C. (2023) · Psychology and Health · doi:10.1080/08870446.2023.2289457 · Cited by 6 · see citing works
Zibaite, S., Tripathee, S., Moffat, H., Elsberger, B., & Maclennan, S. (2024) · PLOS ONE · doi:10.1371/journal.pone.0312769 · Cited by 5 · see citing works
Zheng, S., Huang, W., Zhang, X., Hua, Y., Chan, S. W., Liu, S., Zhong, Y., Jiang, X., & Zhu, J. (2025) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2025.04.007 · Cited by 5 · see citing works
Yang, X.-M., Yang, X., Wang, X., & Gu, Y.-X. (2024) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v16.i3.810 · Cited by 5 · see citing works
REDCap Delivery of a Web-Based Intervention for Patients With Voice Disorders: Usability Study
Stambler, D. M., Feddema, E., Riggins, O., Campeau, K., Breuch, L.-A. K., Kessler, M. M., & Misono, S. (2021) · JMIR Human Factors · doi:10.2196/26461 · Cited by 5 · see citing works
Wei, L. C., Othman, A., & Hashim, H. A. (2023) · Malaysian Journal of Medical Sciences · doi:10.21315/mjms2023.30.4.10 · Cited by 7 · see citing works
Firet, L., Teunissen, T. A. M., Kool, R. B., Akkermans, R. P., Lagro‐Janssen, A. L. M., van der Vaart, C. H., & Assendelft, W. J. (2024) · BMC Family Practice · doi:10.1186/s12875-024-02325-4 · Cited by 4 · see citing works
Xie, W., Wang, M., Ng, S., Lu, S., Yeung, A., Chan, K. P., & Lo, H. H. M. (2024) · Mindfulness · doi:10.1007/s12671-024-02457-9 · Cited by 4 · see citing works
Arredondo, M., Mestanza, F., Carpio, R., Escarrabill, J., López‐Solà, C., Palou, E., Acosta, L. M., Fernández, L., Vilas‐Riotorto, V. G., Saurí, T., et al. (2025) · Clinical & Translational Oncology · doi:10.1007/s12094-025-03913-1 · Cited by 2 · see citing works
Senthilnathan, V., Zahir, S., Simpson, R., Jaglal, S. B., Craven, B. C., Fetterly, M.-J., Perrier, L., & Munce, S. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-086287 · Cited by 2 · see citing works
Khaldoun, L., Bellemare, F., Genest, C., Bergeron, N., & Geoffrion, S. (2025) · JMIR mhealth and uhealth · doi:10.2196/70412 · Cited by 1 · see citing works
Liu, S., Wang, S., Bi, H., Zhang, Y., & Lu, Y. (2025) · Psycho-Oncologie · doi:10.18282/po4341 · Cited by 1 · see citing works
Mele, C., Hulett, J. M., & Goldschmidt, K. A. (2021) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2021.12.017
de Souza, D. M. X., de Oliveira, L. N., Pinto, M. J. D. S., Demarzo, M., & Hortense, P. (2022) · Research Society and Development · doi:10.33448/rsd-v11i1.25110
The impact of mindfulness on mental health in cancer patients: an integrative review
Martins, G. B., Puziski, A. S., Costa, M., Alves, R. I., & Santiago, T. G. (2023) · Brazilian Journal of Health Review · doi:10.34119/bjhrv6n5-415
Cross, S. P. M., & Álvarez‐Jiménez, M. (2024) · doi:10.2196/preprints.57014
Kumar, R., Amarsi, Y., Badil, & Jabbar, A. A. (2025) · Pakistan BioMedical Journal · doi:10.54393/pbmj.v8i2.1188
Firet, L., Teunissen, T. A. M., Kool, R. B., Akkermans, R. P., Lagro‐Janssen, A. L. M., van der Vaart, C. H., & Assendelft, W. J. (2024) · Figshare · doi:10.6084/m9.figshare.25424741
Sun, X., Huang, Y., Hwang, M., & 이성노 (2026) · Psycho-Oncologie · doi:10.18282/po5418
Herrera, L. J., & Roca, P. (2026) · Behaviour Research and Therapy · doi:10.1016/j.brat.2026.105140
Jing, S., Dai, Z., Yang, X., Xin, Y., Sun, R., Wu, J., Wang, Y., Disi, A., & Su, X. (2026) · Psycho-Oncology · doi:10.1002/pon.70610
- Authors
- Cillessen, L., van de Ven, M. O., Compen, F. R., Bisseling, E. M., van der Lee, M. L., & Speckens, A. E.
- Affiliations
- Radboud University Nijmegen (NL)
- Corresponding author
- Cillessen, Linda
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2020-10-02
- Volume
- 22
- Issue
- 10
- Pages
- e17526
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC7568213
- OpenAlex
- W3091075606
- Cited by
- 43
- References
- 61
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 10 · 2023: 7 · 2022: 10 · 2021: 6
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Research portal (Tilburg University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Keywords
- cancer patients, psychological distress, treatment uptake, medication adherence, fear of cancer recurrence, conscientiousness, positive mental health, online intervention
- MeSH terms
- Internet-Based Intervention, Female, Humans, Male, Neoplasms, Cognitive Behavioral Therapy, Treatment Outcome, 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
