Current directions in digital interventions for mood and anxiety disorders
Abstract
Purpose of review: The purpose of this review is to provide an overview of the current scope of digital interventions for anxiety and mood disorders, with a focus on smartphone apps, for clinicians and mental healthcare providers. Recent findings: Of the 11 randomized controlled trials analyzed, 7 showed evidence that guided digital interventions (those supported by humans) were effective in improving anxiety and mood symptoms, and 3 showed evidence that unguided (those not supported by humans) interventions were effective. Psychoeducation was the most popular feature of both guided and unguided interventions. Attrition was highest (50%) in the unguided app-based intervention and lowest in the guided interventions. Many studies lacked active control groups and comparison was often made to a nondigital or waitlist control condition. Summary: Guided digital interventions continue to show promising results and can be used to enhance clinical care with minimal resources although more direct comparisons to existing treatments are necessary to understand their actual efficacy. Unguided self-help apps and chatbots remain promising, but more work is necessary to understand the real-world engagement and efficacy of these interventions.
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A qualitative review proposed that decreases in judgment and reactivity might be necessary for mindfulness-based interventions to alleviate symptoms of anxiety disorders, including worry.
“Also, a qualitative review proposed that decreases in judgment and reactivity might be necessary for MBIs to alleviate symptoms of anxiety disorders, including worry [40].”
Cites
Rayyan-a web and mobile app for systematic reviews.
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0384-4 · Cited by 26,092 · see citing works
Torous, J., Lipschitz, J., Ng, M., & Firth, J. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.167 · Cited by 546 · see citing works
Self-citationStandalone smartphone apps for mental health—a systematic review and meta-analysis
Weisel, K. K., Fuhrmann, L. M., Berking, M., Baumeister, H., Cuijpers, P., & Ebert, D. D. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0188-8 · Cited by 447 · see citing works
Smartphone Apps for the Treatment of Mental Disorders: Systematic Review
Miralles, I., Granell, C., Díaz-Sanahuja, L., Van Woensel, W., Bretón-López, J., Mira, A., Castilla, D., & Casteleyn, S. (2020) · JMIR mHealth and uHealth · doi:10.2196/14897 · Cited by 188 · see citing works
COVID’s mental-health toll: how scientists are tracking a surge in depression
Abbott, A. (2021) · Nature · doi:10.1038/d41586-021-00175-z · Cited by 177 · see citing works
Graham, A. K., Greene, C. J., Kwasny, M. J., Kaiser, S. M., Lieponis, P., Powell, T., & Mohr, D. C. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.1011 · Cited by 162 · see citing works
McCloud, T. L., Jones, R., Lewis, G., Bell, V., & Tsakanikos, E. (2020) · JMIR mhealth and uhealth · doi:10.2196/15418 · Cited by 122 · see citing works
Banbury forum consensus statement on the path forward for digital mental health treatment
Mohr, D. C., Azocar, F., Bertagnolli, A., Choudhury, T., Chrisp, P., Frank, R., Harbin, H., Histon, T., Kaysen, D., Nebeker, C., et al. (2021) · Psychiatric Services · doi:10.1176/appi.ps.202000561 · Cited by 115 · see citing works
Self-citationTitov, N., Dear, B. F., Nielssen, O., Wootton, B., Kayrouz, R., Karin, E., Genest, B., Bennett-Levy, J., Purtell, C., Bezuidenhout, G., et al. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30224-7 · Cited by 108 · see citing works
Bendtsen, M., Müssener, U., Linderoth, C., & Thomas, K. (2020) · JMIR mhealth and uhealth · doi:10.2196/17208 · Cited by 71 · see citing works
Rodriguez-Villa, E., Naslund, J. A., Keshavan, M. S., Patel, V., & Torous, J. B. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102433 · Cited by 56 · see citing works
Self-citationRenfrew, M. E., Morton, D. P., Morton, J. K., Hinze, J. S., Beamish, P., Przybylko, G., & Craig, B. A. (2020) · Journal of Medical Internet Research · doi:10.2196/15592 · Cited by 53 · see citing works
Agyapong, V. I. O., Shalaby, R., Hrabok, M., Vuong, W., Noble, J. M., Gusnowski, A., Mrklas, K., Li, D., Snaterse, M., Surood, S., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18042157 · Cited by 53 · see citing works
Furukawa, T. A., Karyotaki, E., Suganuma, A. M., Pompoli, A., Ostinelli, E. G., Cipriani, A., Cuijpers, P. J., & Efthimiou, O. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-026137 · Cited by 46 · see citing works
Stepping Up: Predictors of ‘Stepping’ within an iCBT Stepped-Care Intervention for Depression
Nicholas, J., Ringland, K. E., Graham, A. K., Knapp, A. A., Lattie, E. G., Kwasny, M., & Mohr, D. C. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16234689 · Cited by 31 · see citing works
Renfrew, M. E., Morton, D. P., Morton, J. K., Hinze, J. S., Przybylko, G., & Craig, B. A. (2020) · Journal of Medical Internet Research · doi:10.2196/19945 · Cited by 31 · see citing works
Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care
Wright, J. H., & Mishkind, M. C. (2020) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20190044 · Cited by 25 · see citing works
Kayrouz, R., Karin, E., Staples, L., Nielssen, O. B., Dear, B. F., & Titov, N. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02486-3 · Cited by 21 · see citing works
MacLean, S. E., Corsi, D. J., Litchfield, S., Kucharski, J., Genise, K., Selaman, Z., Testa, V., & Hatcher, S. (2019) · Journal of Medical Internet Research · doi:10.2196/15001 · Cited by 15 · see citing works
Stahl, S. T., Smagula, S. F., Dew, M. A., Schulz, R., Albert, S. M., & Reynolds, C. F. (2020) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2020.02.013 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Leung, C., Pei, J., Hudec, K., Shams, F., Munthali, R., & Vigo, D. (2022) · Journal of Medical Internet Research · doi:10.2196/36004 · Cited by 94 · see citing works
Anmella, G., Sanabra, M., Primé‐Tous, M., Segú, X., Cavero, M., Morilla, I., Grande, I., Ruíz, V., Mas, A., Martín‐Villalba, I., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/43293 · Cited by 74 · see citing works
Biagianti, B., Foti, G., Liberto, A. D., Bressi, C., & Brambilla, P. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.01.057 · Cited by 41 · see citing works
Kerber, A., Beintner, I., Burchert, S., & Knaevelsrud, C. (2023) · JMIR Mental Health · doi:10.2196/45068 · Cited by 32 · see citing works
Zainal, N. H., & Newman, M. G. (2023) · European Psychiatry · doi:10.1192/j.eurpsy.2023.2 · Cited by 26 · see citing works
Lindsay, J. A. B., McGowan, N. M., Henning, T., Harriss, E., & Saunders, K. (2024) · Journal of Medical Internet Research · doi:10.2196/54941 · Cited by 20 · see citing works
Wilhelm, S., Bernstein, E. E., Bentley, K. H., Snorrason, Í., Hoeppner, S. S., Klare, D. L., Greenberg, J. L., Weingarden, H. M., McCoy, T. H., & Harrison, O. (2024) · JMIR Mental Health · doi:10.2196/53998 · Cited by 17 · see citing works
Kozelka, E. E., Acquilano, S. C., Al‐Abdulmunem, M., Guarino, S., Elwyn, G. J., Drake, R. E., & Carpenter-Song, E. A. (2023) · Psychiatric Services · doi:10.1176/appi.ps.20230238 · Cited by 16 · see citing works
Seegan, P. L., & Mcguire, J. F. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.07.089 · Cited by 14 · see citing works
Caycho‐Rodríguez, T., Tomás, J. M., Valencia, P. D., Ventura‐León, J., Vilca, L. W., Carbajal‐León, C., Reyes-Bossio, M. A., White, M., Rojas-Jara, C., Polanco-Carrasco, R., et al. (2022) · Current Psychology · doi:10.1007/s12144-022-03389-0 · Cited by 12 · see citing works
Thomson, M., Henderson, G., Rogers, T., Locke, B., Vines, J., & MacBeth, A. M. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000522 · Cited by 12 · see citing works
Role of 5-hydroxytryptamine type 3 receptors in the regulation of anxiety reactions
Du, Y., Li, Z., Zhao, Y., Han, J., Hu, W., & Liu, Z. (2024) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2200642 · Cited by 9 · see citing works
Helle, J., Heldal, I., Soleim, H., Geitung, A. B., & Larsen, T. F. (2022) · IEEE International Conference on Cognitive Aspects of Virtual Reality (CVR) · doi:10.1109/cvr55417.2022.9967569 · Cited by 5 · see citing works
Singh, M. K., Nimarko, A. F., Bruno, J. L., Anand, K. J. S., & Singh, S. P. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.05.005 · Cited by 4 · see citing works
Advanced mood tracking using waveform statistical signal processing techniques
Brandsema, M. J. (2023) · Measurement · doi:10.1016/j.measurement.2023.113152 · Cited by 4 · see citing works
Dworkin, E. R., Schallert, M., Lee, C. M., & Kaysen, D. L. (2023) · JMIR Formative Research · doi:10.2196/44400 · Cited by 4 · see citing works
Zainal, N. H., & Newman, M. G. (2024) · European Psychiatry · doi:10.1192/j.eurpsy.2024.1750 · Cited by 3 · see citing works
Böke, B. N., Mettler, J., Bastien, L., Cho, S., & Heath, N. L. (2025) · JMIR Mental Health · doi:10.2196/74205 · Cited by 1 · see citing works
The Dawn of Digital Psychiatry
Zimerman, A., Montezano, B. B., Vecchia, G. F. D., Kapczinski, F. P., & Passos, I. C. (2023) · Springer eBooks · doi:10.1007/978-3-031-10698-9_1 · Cited by 1 · see citing works
Albanese, A. M., Smith, K. E. R., Geller, P. A., Bloch, J. R., Sikes, C., Kondracki, A. J., & Barkin, J. L. (2023) · Psychiatry International · doi:10.3390/psychiatryint4030021 · Cited by 1 · see citing works
Beyond tumor biology: nursing interventions for psychological and immune health in cancer patients
Gou, Y. R., Gu, H., & Wang, L. (2026) · Supportive Care in Cancer · doi:10.1007/s00520-026-10574-5 · Cited by 1 · see citing works
Böke, B. N., Mettler, J., Bastien, L., Cho, S., & Heath, N. L. (2025) · doi:10.2196/preprints.74205
Hernandez, D. E. B., Espinoza, F. L., Garzón, M., Lala, C. M., & Valladolid, C. A. S. (2025) · Revista Conectividad · doi:10.37431/conectividad.v6i3.251
Cohen, L. (2026) · The Arts in Psychotherapy · doi:10.1016/j.aip.2026.102512 · Cited by 1 · see citing works
Zhou, X., Chen, L., Ran, M., Li, Y., & Yu, Y. (2026) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2026.08.047
Nizon, D., Decouvelaere, A., Lusven, M., El‐Hage, W., Kazour, F., Gohier, B., & Madieta, L. (2026) · European Journal of Psychotraumatology · doi:10.1080/20008066.2026.2737597
- Authors
- Lakhtakia, T., & Torous, J.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Torous, John
- ORCID
- Lakhtakia, Tanvi
- Venue
- Current Opinion in Psychiatry
- Published
- 2022-03
- Volume
- 35
- Issue
- 2
- Pages
- 130-135
- ISSN
- 0951-7367 (ISSN-L)
- 1473-6578
- OpenAlex
- W4200321831
- Cited by
- 26
- References
- 20
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 6 · 2023: 9 · 2022: 4
- FWCI
- 4.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- digital interventions, mood disorders, anxiety disorders, mobile application, chatbots, psychoeducation, attrition, treatment engagement, digital mental health
- MeSH terms
- Affect, Anxiety, Anxiety Disorders, Humans, Mood Disorders, Mobile Applications
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