Digital interventions in severe mental health problems: lessons from the Actissist development and trial
Open accessAbstract
Severe mental health problems are characterized by repeated relapse, yet timely access to treatment remains problematic1. Within current health care systems, the delivery of treatment by scheduled appointment can result in warning signs being missed or treated too late. Recognizing the need for innovative, timely and efficient solutions to improve the speed and quality of treatment delivery, digital strategies are being developed worldwide2. Grounded in the cognitive model of psychosis, and following an extensive period of co-design with patients and stakeholders, we developed Actissist3, a theory-informed smartphone app targeting areas of distress in early psychosis. Actissist uses question and answer dialogues with a branched design to provide cognitive or behavioral-informed feedback to participants, based on the information they input into the app. The app also contains a menu of multi-media options (e.g., links to external sites, patient stories, relaxation sessions) designed to complement and support the feedback from the intervention domains. In a proof-of-concept, single-blind, randomized controlled trial, 36 early psychosis patients were randomly allocated to receive either Actissist plus treatment as usual (N=24) or ClinTouch4, a symptom monitoring app, plus treatment as usual (N=12) over 12 weeks, with blind assessor follow-up at 12 and 22 weeks3. Participants were recruited over 7 months from several early intervention for psychosis services in the North West of England. Nearly two thirds (38/59; 64.4%) of referred people participated in the study. We found that Actissist was feasible (75% participants used it at least once a day over the 12-week intervention period; 97% participants remained in the trial until the end), acceptable (90% participants declared they would recommend Actissist to others in a similar position), and safe (no serious adverse events related to the study). The treatment effects at 12 weeks favoured the Actissist group, with a Cohen's D standardized effect size of −0.85 (95% CI: −1.44 to −0.25) for the total score on the Positive and Negative Syndrome Scale, and of −0.65 (95% CI: −1.28 to −0.02) for the total score on the Calgary Depression Scale for Schizophrenia. The next stage of Actissist is being tested in a powered randomized controlled trial (RCT). However, there are at present several clear challenges to both the conduction of standard RCTs in this area and the implementation of digital health interventions in ordinary practice. In standard RCTs, the intervention is fixed at the onset of the trial and is not permitted to evolve during the trial. For many drugs under investigation or complex interventions, this is reasonable. However, this is problematic for digital health interventions due to the pace of change in technology. Fixing the intervention at trial onset can render the technology outdated or even obsolete by the time the trial results are available. Adaptive interventions, which are designed to systematically and efficiently optimize behavioural interventions, might be one possible solution to this problem5. Furthermore, the success of digital health interventions is not merely determined by patient uptake; it will ultimately be determined by patients and staff, both of whom are key end-users. We have found that mental health professionals and patients often express concerns about data security, safety and risk information being robustly handled6. However, given reassurances from reputable and trusted organizations, patients recognize the value of digital health interventions in enhancing their connection with services, and perceive digital approaches as not only destigmatizing but also a relevant way of receiving health care. Perhaps most importantly, patients view these interventions as empowering, affording them meaningful choice and the opportunity to take active control of their health care. Staff attitudes, however, are a potentially major barrier to digital health care implementation6. In our work, staff often expressed the opinion that resources would be better spent on professionals' training than on technology development. Integrating a steady stream of data into patients' records was sometimes perceived as overwhelming, adding to already stretched workloads and professional responsibilities. Without considering issues around implementation during the early stages of the development and delivery of digital health interventions, it is unlikely that these approaches will be disseminated beyond research studies and into the service setting. Moreover, a clear set of strategies regarding closer involvement of patients in the development of digital innovations as well as engagement of stakeholders with digitally-enabled services is lacking. More research is needed worldwide to understand patients' and stakeholders' perspectives on digital health systems, to maximize implementation. We achieved this in Actissist3 by holding quarterly meetings with an e
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There is a smaller but emerging evidence base for remote delivery of psychological interventions for psychotic disorders.
“with a smaller but emerging evidence base also for psychotic disorders 126 .”
From A meta-review of "lifestyle psychiatry": the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders (2020) · cites this paper as [126]
Cites
The WPA-Lancet psychiatry commission on the future of psychiatry
Bhugra, D., Tasman, A., Pathare, S., Priebe, S., Smith, S., Torous, J., Arbuckle, M. R., Langford, A., Alarcón, R. D., Chiu, H. F. K., et al. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30333-4 · Cited by 392 · see citing works
Collins, L. M., Nahum-Shani, I. B., & Almirall, D. (2014) · Clinical Trials · doi:10.1177/1740774514536795 · Cited by 194 · see citing works
Palmier‐Claus, J. E., Ainsworth, J. D., Machin, M., Barrowclough, C., Dunn, G., Barkus, E., Rogers, A. E., Wykes, T., Kapur, S., Buchan, I. E., et al. (2012) · BMC Psychiatry · doi:10.1186/1471-244x-12-172 · Cited by 189 · see citing works
Self-citationBerry, N., Bucci, S., & Lobban, F. (2017) · JMIR Mental Health · doi:10.2196/mental.8311 · Cited by 112 · see citing works
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Firth, J., Solmi, M., Wootton, R. E., Vancampfort, D., Schuch, F. B., Hoare, E., Gilbody, S., Torous, J., Teasdale, S. B., Jackson, S. E., et al. (2020) · World Psychiatry · doi:10.1002/wps.20773 · Cited by 1,148 · see citing works
The digital revolution and its impact on mental health care
Bucci, S., Schwannauer, M., & Berry, N. (2019) · Psychology and Psychotherapy: Theory, Research and Practice · doi:10.1111/papt.12222 · Cited by 444 · see citing works
Self-citationFiorillo, A., Sampogna, G., Giallonardo, V., Vecchio, V. D., Luciano, M., Albert, U., Carmassi, C., Carrà, G., Cirulli, F., Dell’Osso, B. M., et al. (2020) · European Psychiatry · doi:10.1192/j.eurpsy.2020.89 · Cited by 369 · see citing works
Giallonardo, V., Sampogna, G., Del Vecchio, V., Luciano, M., Albert, U., Carmassi, C., Carrà, G., Cirulli, F., Dell’Osso, B., Nanni, M. G., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00533 · Cited by 250 · see citing works
Berry, N., Lobban, F., & Bucci, S. (2019) · BMC Psychiatry · doi:10.1186/s12888-018-1979-1 · Cited by 170 · see citing works
Self-citationBucci, S., Berry, N., Morris, R., Berry, K., Haddock, G., Lewis, S., & Edge, D. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00344 · Cited by 124 · see citing works
Self-citationZidaru, T., Morrow, E. M., & Stockley, R. (2021) · Health Expectations · doi:10.1111/hex.13299 · Cited by 138 · see citing works
Hardy, A., Wojdecka, A. B., West, J., Matthews, E., Golby, C., Ward, T., Lopez, N. D., Freeman, D. H., Waller, H., Kuipers, E., et al. (2018) · JMIR Mental Health · doi:10.2196/11222 · Cited by 72 · see citing works
Self-citationRogan, J., Bucci, S., & Firth, J. (2024) · JMIR Mental Health · doi:10.2196/49577 · Cited by 62 · see citing works
Self-citationRealpe, A. X., Elahi, F., Bucci, S., Birchwood, M. J., Vlaev, I., Taylor, D., & Thompson, A. D. (2019) · Early Intervention in Psychiatry · doi:10.1111/eip.12804 · Cited by 46 · see citing works
Self-citationNordin, A. M. M., Kjellström, S., Robert, G., Masterson, D., & Josefsson, K. A. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-073808 · Cited by 43 · see citing works
Accessibility and availability of smartphone apps for schizophrenia
Kwon, S., Firth, J., Joshi, D., & Torous, J. B. (2022) · Schizophrenia · doi:10.1038/s41537-022-00313-0 · Cited by 32 · see citing works
Taylor, K. M., Bradley, J., & Cella, M. (2022) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1111/papt.12395 · Cited by 22 · see citing works
Effects of Actissist, a digital health intervention for early psychosis: A randomized clinical trial
Bucci, S., Berry, N., Ainsworth, J. D., Berry, K., Edge, D., Eisner, E., Emsley, R., Forbes, G., Hassan, L., Lewis, S. W., et al. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.116025 · Cited by 22 · see citing works
Self-citationPeng, X., Wang, S., Bi, J., You, L., Zhou, Z., Tan, W., Xie, H., Hu, C., Ng, C. H., & Liu, T. (2020) · Asia-Pacific Psychiatry · doi:10.1111/appy.12446 · Cited by 21 · see citing works
Zhang, X., Lewis, S. W., Xu, C., Berry, N., & Bucci, S. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100576 · Cited by 19 · see citing works
Self-citationTatar, O., Abdel‐Baki, A., Tra, C., Mongeau‐Pérusse, V., Arruda, N., Kaur, N., Landry, V., Coronado‐Montoya, S., & Jutras‐Aswad, D. (2021) · JMIR Formative Research · doi:10.2196/26562 · Cited by 11 · see citing works
Christensen, M. J., Rydborg, M. P., Jørgensen, R., Nielsen, C. D., Mainz, J., Bell, I. H., Thomas, N., Smith, L. C., Mariegaard, L. S., Ward, T., et al. (2025) · JMIR Serious Games · doi:10.2196/77920 · Cited by 10 · see citing works
Kandala, R., Moharir, A. K., & Nayak, D. A. (2025) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw69685.2025.00156 · Cited by 5 · see citing works
Reducing Smoking Among People With Schizophrenia: Perspectives on Priorities for Advancing Research
Baker, A., Robson, D., Lawn, S., Steinberg, M. L., Bucci, S., McNeill, A. D., Castle, D. J., & Bonevski, B. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00711 · Cited by 5 · see citing works
Self-citationEditorial: Digital mental health: Interventions and assessment
Costescu, C. A., Podina, I. R., & Voinescu, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1014527 · Cited by 5 · see citing works
Co-production in community-based substance use disorder treatment services: a scoping review
Schofield, J., Galea-Singer, S., & Baldacchino, A. (2025) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000001011 · Cited by 3 · see citing works
Baumeister, A., Rüegg, N., Lüdtke, T., & Moritz, S. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_7 · Cited by 1 · see citing works
Lusinga, S. (2019) · Open University of Cape Town (University of Cape Town)
- Authors
- Bucci, S., Lewis, S., Ainsworth, J., Haddock, G., Machin, M., Berry, K., Berry, N., Edge, D., & Emsley, R.
- Affiliations
- Manchester Academic Health Science Centre (GB)
- Division of Psychology and Mental Health, School of Health Sciences Manchester Academic Health Science Centre, University of Manchester Manchester UK
- University of Manchester (GB)
- ORCID
- Venue
- World Psychiatry
- Publisher
- Wiley
- Published
- 2018-05-24
- Volume
- 17
- Issue
- 2
- Pages
- 230-231
- ISSN
- 1723-8617 (ISSN-L)
- 2051-5545
- PMC
- PMC5980566
- OpenAlex
- W2805076647
- Cited by
- 24
- References
- 4
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 2
- FWCI
- 4.10
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- World Psychiatry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion, other-oa)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- Medical Research Council (MR/P026664/1, MR/L005301/1)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- early psychosis, digital mental health interventions, mobile application, symptom monitoring, relapse prevention, early intervention in psychosis, medication adherence, feasibility and acceptability
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