Is clinician-supported use of a mindfulness smartphone app a feasible treatment for depression? A mixed-methods feasibility study
Open accessAbstract
Depression is the leading cause of disability globally and has serious consequences for the individual, their family and for society. Effective, accessible and affordable treatments are urgently needed. In-person group-based mindfulness-based interventions are an effective treatment for depression, but are not widely available and can be costly. Clinician supported use of mindfulness self-help resources such as mindfulness smartphone applications could widen access at a reduced cost, but there are key feasibility questions that need answering. This is a mixed-methods feasibility study of a blended intervention involving the mindfulness smartphone app Headspace alongside six clinician support sessions with mental health treatment seeking adults experiencing moderate to moderately severe symptoms of depression. In line with recommendations for feasibility studies, we examine whether: (1) it is possible to recruit participants to this novel intervention, (2) participants engage with the intervention, (3) participants and clinicians find the intervention acceptable, and (4) pre-post outcomes on measures of depression (primary outcome), anxiety, wellbeing, mindfulness, self-compassion, rumination and worry indicate effectiveness. Findings show that recruitment is feasible with 54 participants enrolled in the intervention within a 6-month window. In terms of engagement, 44.4% completed at least 80% of recommended Headspace sessions and 72.2% of participants attended at least three clinician support sessions. Clinician-supported Headspace was deemed acceptable by participants and clinicians. Pre-post effect sizes were statistically significant and in the small-medium or medium-large range on all outcomes, with an effect size of d = 0.69 (95% CI: 0.34–1.04) for the primary outcome of depression symptom severity. The number of Headspace sessions engaged with was associated with greater reduction in depression symptom severity. Findings suggest that a blended intervention combining Headspace with clinician support has potential as a first-line treatment for moderate/moderately severe depression, but findings are too preliminary to recommend the intervention outside of a research trial. Important caveats are noted including the need for future research to examine predictors of engagement with Headspace sessions so that engagement can be enhanced, to measure the longer term effects of such interventions and to better understand the potential for lasting negative effects of the intervention so that these can be minimised.
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 trial's recruitment rate of 19 participants per month is higher than other digital mental health apps.
“Even with these constraints we manage to recruit an average of 19 participants per month, a much higher recruitment rate compared to other digital mental health apps (e.g. Strauss et al., Citation2021).”
From Evaluating a digital mental health intervention for people with Parkinson's (PACT): acceptability and feasibility randomised controlled trial. (2025) · cites this paper as Strauss et al., 2021
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
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1092 · Cited by 31,765 · see citing works
Developing and evaluating complex interventions: the new Medical Research Council guidance
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I., & Petticrew, M. (2008) · BMJ · doi:10.1136/bmj.a1655 · Cited by 10,995 · see citing works
Multiple imputation using chained equations: Issues and guidance for practice
White, I. R., Royston, P., & Wood, A. M. (2011) · Statistics in Medicine · doi:10.1002/sim.4067 · Cited by 9,792 · see citing works
Using Self-Report Assessment Methods to Explore Facets of Mindfulness
Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006) · Assessment · doi:10.1177/1073191105283504 · Cited by 7,511 · see citing works
Sterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ · doi:10.1136/bmj.b2393 · Cited by 7,299 · see citing works
Development and validation of the Penn State Worry Questionnaire
Meyer, T. J., Miller, M. L., Metzger, R. L., & Borkovec, T. D. (1990) · Behaviour Research and Therapy · doi:10.1016/0005-7967(90)90135-6 · Cited by 5,099 · see citing works
Construction and factorial validation of a short form of the Self-Compassion Scale
Raes, F., Pommier, E., Neff, K. D., & Van Gucht, D. (2011) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.702 · Cited by 2,997 · see citing works
Jakobsen, J. C., Gluud, C., Wetterslev, J., & Winkel, P. (2017) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0442-1 · Cited by 2,747 · see citing works
Psychometric properties of the credibility/expectancy questionnaire
Devilly, G. J., & Borkovec, T. D. (2000) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/s0005-7916(00)00012-4 · Cited by 2,295 · cited 2× · see citing works
“The mean score on the credibility subscale of the Credibility and Expectancy Questionnaire (Devilly and Borkovec, 2000) was 6.26 (SD = 1.40) out of a maximum possible score of 9.”
BackgroundInfluentialGu, J., Strauss, C., Bond, R., & Cavanagh, K. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.01.006 · Cited by 1,712 · cited 1× · see citing works
“Pre-post improvements on proposed mechanisms of mindfulness, self-compassion, worry and rumination are consistent with these being mechanisms of change in line with research examining mechanisms of in-person MBI groups (Gu et al., 2015).”
ResultSelf-citationStatistical Methods for Research Workers
Fisher, R. A. (1992) · Springer series in statistics · doi:10.1007/978-1-4612-4380-9_6 · Cited by 1,464 · see citing works
Computer-based psychological treatments for depression: A systematic review and meta-analysis
Richards, D., & Richardson, T. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.02.004 · Cited by 1,442 · see citing works
Ma, S. H., & Teasdale, J. D. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.1.31 · Cited by 1,390 · see citing works
Stewart-Brown, S., Tennant, A., Tennant, R., Platt, S., Parkinson, J., & Weich, S. (2009) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-7-15 · Cited by 1,251 · see citing works
Mindfulness-based interventions for psychiatric disorders: A systematic review and meta-analysis
Goldberg, S. B., Tucker, R. P., Greene, P. A., Davidson, R. J., Wampold, B. E., Kearney, D. J., & Simpson, T. L. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.10.011 · Cited by 1,145 · see citing works
Mohr, D. C., Cuijpers, P., & Lehman, K. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1602 · Cited by 1,097 · see citing works
The impact of guidance on Internet-based mental health interventions — A systematic review
Baumeister, H., Reichler, L., Munzinger, M., & Lin, J. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.08.003 · Cited by 1,037 · see citing works
Risk for recurrence in depression
Burcusa, S. L., & Iacono, W. G. (2007) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.02.005 · Cited by 1,023 · see citing works
Spijkerman, 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
“…of RCTs show that self-help MBIs are effective at improving depressive symptoms in comparison to control conditions (Cavanagh et al., 2014; Spijkerman et al., 2016), however most studies are in non-clinical populations meaning that the effectiveness of selfhelp MBIs in treating depression…”
BackgroundKuyken, W., Warren, F. C., Taylor, R. S., Whalley, B., Crane, C., Bondolfi, G., Hayes, R., Huijbers, M., Ma, H., Schweizer, S., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0076 · Cited by 821 · see citing works
Strauss, C., Cavanagh, K., Oliver, A., & Pettman, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096110 · Cited by 495 · see citing works
Self-citationGu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanagh, K., & Kuyken, W. (2016) · Psychological Assessment · doi:10.1037/pas0000263 · Cited by 431 · cited 3× · see citing works
“In this study a total score for FFMQ-15 minus Observing items is reported in line with recommendations (Gu et al., 2016).”
ResultInfluentialSelf-citationComputer‐Aided Psychotherapy for Anxiety Disorders: A Meta‐Analytic Review
Cuijpers, P., Marks, I. M., van Straten, A., Cavanagh, K., Gega, L., & Andersson, G. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070802694776 · Cited by 429 · see citing works
Self-citationBower, P., Kontopantelis, E., Sutton, A., Kendrick, T., Richards, D. A., Gilbody, S., Knowles, S., Cuijpers, P., Andersson, G., Christensen, H., et al. (2013) · BMJ · doi:10.1136/bmj.f540 · Cited by 341 · see citing works
Cavanagh, K., Strauss, C., Forder, L., & Jones, F. (2014) · Clinical Psychology Review · doi:10.1016/j.cpr.2014.01.001 · Cited by 340 · cited 2× · see citing works
“Meta-analyses of RCTs show that self-help MBIs are effective at improving depressive symptoms in comparison to control conditions (Cavanagh et al., 2014; Spijkerman et al., 2016), however most studies are in non-clinical populations meaning that the effectiveness of selfhelp MBIs in treating…”
BackgroundSelf-citationFlett, J. A. M., Hayne, H., Riordan, B. C., Thompson, L. M., & Conner, T. S. (2019) · Mindfulness · doi:10.1007/s12671-018-1050-9 · Cited by 338 · see citing works
Doing no harm in mindfulness-based programs: Conceptual issues and empirical findings
Baer, R., Crane, C., Miller, E., & Kuyken, W. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.01.001 · Cited by 307 · cited 1× · see citing works
“Moreover, there are concerns that, in keeping with other psychological approaches, mindfulness practice could be unhelpful or even harmful for some people (Baer et al., 2019).”
BackgroundPatient experience of negative effects of psychological treatment: results of a national survey
Crawford, M. J., Thana, L., Farquharson, L., Palmer, L., Hancock, E., Bassett, P., Clarke, J., & Parry, G. D. (2016) · British Journal of Psychiatry · doi:10.1192/bjp.bp.114.162628 · Cited by 225 · see citing works
Jayawardene, W. P., Lohrmann, D. K., Erbe, R. G., & Torabi, M. R. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2016.11.013 · Cited by 185 · see citing works
Crane, C., Crane, R. S., Eames, C., Fennell, M. J. V., Silverton, S., Williams, J. M. G., & Barnhofer, T. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.08.015 · Cited by 163 · see citing works
Allexandre, D., Bernstein, A. M., Walker, E., Hunter, J., Roizen, M. F., & Morledge, T. J. (2016) · Journal of Occupational & Environmental Medicine · doi:10.1097/jom.0000000000000680 · Cited by 157 · see citing works
Crane, R. S., & Kuyken, W. (2013) · Mindfulness · doi:10.1007/s12671-012-0121-6 · Cited by 120 · see citing works
Richards, D., Timulak, L., O'Brien, E., Hayes, C., Vigano, N., Sharry, J., & Doherty, G. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.10.005 · Cited by 109 · see citing works
Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study
Zhang, R., Nicholas, J., Knapp, A. A., Graham, A. K., Gray, E., Kwasny, M. J., Reddy, M., & Mohr, D. C. (2019) · Journal of Medical Internet Research · doi:10.2196/15644 · Cited by 91 · 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
“This is promising given that research has found app usability to be associated with engagement (Enrique et al., 2019).”
BackgroundBanerjee, M., Cavanagh, K., & Strauss, C. (2017) · Mindfulness · doi:10.1007/s12671-017-0740-z · Cited by 80 · see citing works
Self-citationLever Taylor, B., Strauss, C., Cavanagh, K., & Jones, F. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.09.007 · Cited by 76 · see citing works
Self-citationSchueller, S. M., Tomasino, K. N., & Mohr, D. C. (2017) · Clinical Psychology: Science and Practice · doi:10.1037/h0101740 · Cited by 70 · see citing works
Fish, M. T., & Saul, A. D. (2019) · Simulation & Gaming · doi:10.1177/1046878119851821 · Cited by 61 · see citing works
Rycroft‐Malone, J., Gradinger, F., Griffiths, H. O., Anderson, R., Crane, R. S., Gibson, A., Mercer, S. W., & Kuyken, W. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-026244 · Cited by 42 · see citing works
Gu, J., Cavanagh, K., & Strauss, C. (2018) · Mindfulness · doi:10.1007/s12671-017-0867-y · Cited by 40 · see citing works
Self-citationVictorson, D. E., Sauer, C. M., Wolters, L., Maletich, C., Lukoff, K., & Sufrin, N. (2020) · Mindfulness · doi:10.1007/s12671-020-01373-y · Cited by 33 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Headspace Headspace Press and Media Webpage Retrieved July 29, 2020, from https://www.headspace.com/press-and-media 2020
- National Institute for Health and Care Excellence [NICE] Depression in Adults With Chronic Physical Health Problems: Treatment and Management 2009 London, UK 39808015
Cited by
Sorted by citations
Hornstein, S., Zantvoort, K., Lueken, U., Funk, B., & Hilbert, K. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1170002 · Cited by 134 · see citing works
Taylor, H., Strauss, C., & Cavanagh, K. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102078 · Cited by 102 · see citing works
Self-citationEaton, C. K., Vallejo, N., McDonald, X., Wu, J., Rodríguez, R., Muthusamy, N., Mathioudakis, N. N., & Riekert, K. A. (2024) · Journal of Medical Internet Research · doi:10.2196/50508 · Cited by 108 · see citing works
Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review
Lau, C. K. Y., Saad, A., Camara, B., Rahman, D., & Bolea-Alamanac, B. (2024) · Journal of Medical Internet Research · doi:10.2196/52609 · Cited by 51 · see citing works
Blodgett, J. M., Birch, J. M., Musella, M., Harkness, F., & Kaushal, A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192315845 · Cited by 43 · see citing works
Implementation of digital health interventions in rehabilitation: A scoping review
Pearce, L. M. N., Costa, N., Sherrington, C., & Hassett, L. M. (2023) · Clinical Rehabilitation · doi:10.1177/02692155231172299 · Cited by 52 · see citing works
Jin, S., Kim, B., & Han, K. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713732 · Cited by 15 · see citing works
“[22, 37, 67, 90, 111, 138, 142, 167], [36, 42, 157, 189, 203] Progress tracking : Individualized updates and insights on goal advancement, highlighting achievements and areas for improvement.”
Bernstein, E. E., Weingarden, H. M., Greenberg, J. L., Williams, J., Hoeppner, S. S., Snorrason, Í., Phillips, K. A., Harrison, O., & Wilhelm, S. (2023) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2023.100781 · Cited by 13 · see citing works
Making Mindfulness Meditation a Healthy Habit
Miles, E., Matcham, F., Strauss, C., & Cavanagh, K. (2023) · Mindfulness · doi:10.1007/s12671-023-02258-6 · Cited by 16 · see citing works
“Research indicates that intervention credibility and outcome expectancy can influence engagement with health behaviors including mindfulness practice (Strauss et al., 2021).”
Self-citationLo, B., Durocher, K., Charow, R., Kimball, S., Phạm, Q., Sockalingam, S., Wiljer, D., & Strudwick, G. (2025) · Journal of Medical Internet Research · doi:10.2196/67820 · Cited by 10 · see citing works
“Expectation setting [83,139,143] Guidance on use and interpreting data on the platform Delivery of education [54,63,71,97,100,109,110,116,118,128,129,131,132,142,151,152,154-156,”
“Train your mind for a healthy life”. The medicalization of mediatized mindfulness in the West
Kołodziejska, M., & Paliński, M. (2022) · Current Psychology · doi:10.1007/s12144-022-02814-8 · Cited by 8 · see citing works
Xie, Q., Dyer, R. L., Lam, S. U., Frye, C. J., Dahl, C. J., Quanbeck, A., Nahum-Shani, I. B., Davidson, R. J., & Goldberg, S. B. (2024) · Mindfulness · doi:10.1007/s12671-024-02304-x · Cited by 10 · see citing works
“Some practical challenges to engaging in MedBIs and formal practice specifically include difficulty finding time (Moore & Martin, 2015; Strauss et al., 2021), the perceived burden of formal practice itself (e.g., extended periods of formal practice; Banerjee et al., 2017; Fatkin et al., 2021),…”
Effects of virtual reality mindfulness interventions on depression and anxiety: a meta-analysis
He, X., Ren, Y., Bian, Q., Wang, Y., & Wang, X. (2026) · European Journal of Psychotraumatology · doi:10.1080/20008066.2026.2664277 · Cited by 2 · see citing works
“In light of these challenges related to accessibility, adaptability, and adherence, the development of novel mindfulness intervention models that are flexible, scalable, and secure has become a central research focus in the prevention and treatment of depression and anxiety (Strauss et al., 2021).”
Pinto, C., Norton, S., Cubi-Molla, P., Hurt, C., Chowdhury, S., Dooley, N., Safwi, A., Brown, J., Volpato, R., Stumpf, S., et al. (2025) · Aging & Mental Health · doi:10.1080/13607863.2025.2478508 · Cited by 1 · see citing works
“…available time to recruit and made engagement with the app more difficult due to conflicting priorities. even with these constraints we manage to recruit an average of 19 participants per month, a much higher recruitment rate compared to other digital mental health apps (e.g. Strauss et al., 2021).”
Metaxa, A., Liverpool, S., Eisenstadt, M., Pollard, J., & Carlsson, C. (2024) · JMIR Formative Research · doi:10.2196/68031 · Cited by 1 · see citing works
Zárate-Guerrero, S., Duran, J. M., & Ocampo-Palacio, J. G. (2026) · Avances en Psicología Latinoamericana · doi:10.12804/revistas.urosario.edu.co/apl/a.16477
“…virtuales de mindfulness en docentes universitarios y su asociación con resultados en la ansiedad, la depresión y el burnout de prácticas de mindfulness, tanto formales como por medio de aplicaciones como headspace — en los que se reducen los puntajes de medidas de depresión (Strauss et al., 2021).”
Mu, F.-L., Zhang, Z.-X., Gao, Z.-Q., Ding, W.-D., & Hatch, J. E. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-08072-4
“…is a widely recognized and scienti fi cally utilized brief mindfulness application platform (Flett et al., 2020; Gavrilova and Zawadzki, 2023; Strauss et al., 2021); (2) The documentary format, featuring narration by Andy Puddicombe (co-founder of Headspace and a former Tibetan Buddhist…”
InfluentialIncreasing Provider Utilization of Apps for Anxiety and Depression Management
Brigham, J., Catchings, S., & Kitzmiller, R. (2025) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2025.105348
- Authors
- Strauss, C., Dunkeld, C., & Cavanagh, K.
- Affiliations
- University of Sussex (GB)
- Corresponding author
- Strauss, Clara
- Venue
- Internet Interventions
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 25
- Pages
- 100413
- ISSN
- 2214-7829 (ISSN-L)
- PMC
- PMC8350580
- OpenAlex
- W3166053714
- Cited by
- 19
- References
- 53
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 5 · 2022: 2 · 2021: 1
- FWCI
- 2.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Internet Interventions (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Sussex Research Online (University of Sussex) (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- depression, mindfulness, mobile application, headspace, blended intervention, feasibility, treatment engagement, acceptability, first-line therapy, anxiety, well-being, self-compassion, rumination, worry
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