User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic
Open accessAbstract
Background: Interest is growing in digital and telehealth delivery of mental health services, but data are scarce on outcomes in routine care. The federally funded Australian MindSpot Clinic provides online and telephone psychological assessment and treatment services to Australian adults. We aimed to summarise demographic characteristics and treatment outcomes of patients registered with MindSpot over the first 7 years of clinic operation. Methods: We used an observational design to review all patients who registered for assessment with the MindSpot Clinic between Jan 1, 2013, and Dec 31, 2019. We descriptively analysed the demographics, service preferences, and baseline symptoms of patients. Among patients enrolled in a digital treatment course, we evaluated scales of depression (Patient Health Questionnaire-9 [PHQ-9]) and anxiety (Generalized Anxiety Disorder 7-Item Scale [GAD-7]), as primary measures of treatment outcome, from the screening assessment to post-treatment and a 3 month follow-up. The Kessler Psychological Distress 10-Item Plus Scale was also used to assess changes in general distress and disability, and course satisfaction was measured post-treatment. Outcomes: A total of 121 652 screening assessments were started, of which 96 018 (78·9%) were completed. The mean age of patients was 35·7 years (SD 13·8) and 88 702 (72·9%) were women. Based on available assessment data, 36 866 (34·5%) of 106 811 participants had never previously spoken to a health professional about their symptoms, and most people self-reported symptoms of anxiety (88 879 [81·9%] of 108 494) or depression (78 803 [72·6%] of 108 494), either alone or in combination, at baseline. 21 745 patients started treatment in a therapist-guided online course, of whom 14 503 (66·7%) completed treatment (≥four of five lessons). Key trends in service use included an increase in the proportion of people using MindSpot primarily for assessment and information, from 52·6% in 2013 to 66·7% in 2019, while the proportion primarily seeking online treatment decreased, from 42·6% in 2013 to 26·7% in 2019. Effect sizes and percentage changes were large for estimated mean scores on the PHQ-9 and GAD-7 from assessment to post-treatment (PHQ-9, Cohen's d effect size 1·40 [95% CI 1·37-1·43]; and GAD-7, 1·45 [1·42-1·47]) and the 3 month follow-up (PHQ-9, 1·36 [1·34-1·38]; and GAD-7, 1·42 [1·40-1·44]); proportions of patients with reliable symptom deterioration (score increase of ≥6 points [PHQ-9] or ≥5 points [GAD-7]) were low post-treatment (of 13 058 respondents, 184 [1·4%] had symptom deterioration on the PHQ-9 and 282 [2·2%] on the GAD-7); and patient satisfaction rates were high (12 452 [96·6%] of 12 895 respondents would recommend the course and 12 433 [96·7%] of 12 860 reported the course worthwhile). We also observed small improvements in disability following treatment as measured by days out of role. Interpretation: Our findings indicate improvement in psychological symptoms and positive reception among patients receiving online mental health treatment. These results support the addition of digital services such as MindSpot as a component in contemporary national mental health systems. Funding: None.
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Scoring ≥8 on the GAD-7 suggests a likely generalized anxiety disorder diagnosis.
“Scoring ≥8 suggests a likely generalized anxiety disorder diagnosis. 33”
From Utilization, Patient Characteristics, and Longitudinal Improvements among Patients from a Provincially Funded Transdiagnostic Internet-delivered Cognitive Behavioural Therapy Program: Observational Study of Trends over 6 Years (2022) · cites this paper as [33]
The Methods (Treatment outcome measures; page not provided) give a GAD-7 cutoff of 8 or more for the probable presence of an anxiety disorder. They also say the scale is sensitive to generalized anxiety disorder, social phobia, and panic disorder, so the cutoff does not specifically indicate a likely generalized anxiety disorder diagnosis. (LLM, conf=0.89)
Experimental — accuracy not yet measuredThe sample characteristics are similar to the Australian sample, except a greater proportion of our patients reported concurrent medication use and treatment.
“The sample characteristics are similar to the Australian sample, 33 except a greater proportion of our patients reported concurrent medication use and treatment.”
In the Australian study, iCBT effects were stable across years.
“iCBT effects were stable across years.”
A K10 score > 21 suggests significant distress.
“Score > 21 suggests significant distress. 33”
In a 7-year Australian study, utilization increased in the first 3 years and subsequently stabilized, with a higher demand for assessment services than iCBT.
“In this 7-year Australian study, utilization increased in the first 3 years and subsequently stabilized, with a higher demand for assessment services than iCBT.”
In the Australian study, over time, there was an increase in young adult users, Aboriginal or Torres Strait Islander, and individuals with anxiety.
“Over time, there was an increase in young adult users, Aboriginal or Torres Strait Islander, and individuals with anxiety.”
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Self-citationStaples, L., Nielssen, O. B., Dear, B. F., Bisby, M. A., Fisher, A. C., Kayrouz, R., & Titov, N. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20186756 · Cited by 7 · see citing works
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Antidepressant medication use by patients accessing a national digital mental health service
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Self-citationUser profile of an online cognitive behavioral therapy self-help platform in Turkey
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Self-citationBeck, C. D., Peynenburg, V. A., Patterson, T., Titov, N., Dear, B. F., & Hadjistavropoulos, H. D. (2024) · Internet Interventions · doi:10.1016/j.invent.2024.100709 · Cited by 5 · see citing works
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Self-citationGuidelines for the Provision of Remote Psychological Services
Geraldo, A., Dores, A. R., Mendes-Santos, C., & Barbosa, F. (2024) · European Psychologist · doi:10.1027/1016-9040/a000523 · Cited by 4 · see citing works
Dear, B. F., Staples, L., Nielssen, O. B., & Titov, N. (2025) · Australian Journal of Rural Health · doi:10.1111/ajr.70008 · Cited by 5 · see citing works
Self-citationFisher, A. C., Bisby, M. A., Hathway, T., Rezwan, A., Ayre, J., Muscat, D. M., Titov, N., & Dear, B. F. (2025) · Advances in Mental Health · doi:10.1080/18387357.2025.2536801 · Cited by 4 · see citing works
Self-citationMindSpot: a valuable service that raises questions
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The digital leap at VIMHANS: securing mental health services for tomorrow
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Digital Mental Health Treatments for Depression
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Health Literacy Recommendations for Digital Mental Health Treatments
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Self-citationInternet-based psychotherapies
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Self-citationUsing Hidden Markov Modelling to Reveal In-session Stages in Text-based CounsellingPreprint
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Self-citationEffectiveness of three key Australian digital mental health services (Preprint)Preprint
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Digital Governance and Public Mental Health: A Psychological Evaluation
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- Authors
- Titov, N., Dear, B. F., Nielssen, O., Wootton, B., Kayrouz, R., Karin, E., Genest, B., Bennett-Levy, J., Purtell, C., Bezuidenhout, G., Tan, R., Minissale, C., Thadhani, P., Webb, N., Willcock, S., Andersson, G., Hadjistavropoulos, H. D., Mohr, D. C., Kavanagh, D. J., Cross, S., & Staples, L. G.
- Affiliations
- Macquarie University (AU)
- University of Technology Sydney (AU)
- Linköping University (SE)
- University of Regina (CA)
- Northwestern University (US)
- Queensland University of Technology (AU)
- Corresponding author
- Staples, Lauren G
- ORCID
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 2
- Issue
- 11
- Pages
- e582-e593
- ISSN
- 2589-7500 (ISSN-L)
- PMC
- PMC7571905
- OpenAlex
- W3092838678
- Cited by
- 108
- References
- 34
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 16 · 2023: 24 · 2022: 16 · 2021: 21 · 2020: 2
- FWCI
- 14.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Digital Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by)
- DiVA (Linkoping University) (submittedVersion, other-oa)
- UTS ePRESS (University of Technology Sydney) (submittedVersion, cc-by-nc-nd)
- The Sydney eScholarship Repository (The University of Sydney) (submittedVersion)
- Funders
- Australian Government
- Macquarie University
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- digital mental health, telemedicine, depression, anxiety, psychological distress, treatment outcomes, treatment completion, help-seeking, user characteristics, Australian adults, usual care, Kessler Psychological Distress Scale, PHQ-9, GAD-7, course satisfaction, mental health service delivery
- MeSH terms
- Adult, Australia, Demography, Female, Health Surveys, Humans, Male, Mental Health Services, Middle Aged, Treatment Outcome, Telemedicine, Young Adult
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