Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-23T00:32:19.309Z Has data issue: false hasContentIssue false

An online therapist-guided ultra-brief treatment for depression and anxiety: a randomized controlled trial

Published online by Cambridge University Press:  01 September 2023

Madelyne A. Bisby*
Affiliation:
eCentreClinic, School of Psychological Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia
Tanya Balakumar
Affiliation:
eCentreClinic, School of Psychological Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia
Amelia J. Scott
Affiliation:
eCentreClinic, School of Psychological Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia
Nickolai Titov
Affiliation:
MindSpot Clinic, MQ Health, Macquarie University, Sydney, Australia
Blake F. Dear
Affiliation:
eCentreClinic, School of Psychological Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia
*
Corresponding author: Madelyne A. Bisby; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

There are many barriers to engaging in current psychological treatments, including time, cost, and availability. Ultra-brief treatments overcome some of these barriers by delivering therapeutic information and skills using significantly less time than standard-length treatments. We developed a therapist-guided online ultra-brief treatment for depression and anxiety and compared it to an existing 8-week, 5-lesson therapist-guided standard-length treatment and a waitlist control.

Methods

In a randomized controlled trial, adults with self-reported depression or anxiety were randomized (1:1:1) to the ultra-brief treatment, standard-length treatment, or waitlist control. The primary outcomes were depression symptoms and anxiety symptoms assessed at baseline, 5-weeks later, 9-weeks later (primary timepoint), and 3-months later. The trial was prospectively registered.

Results

Between 7 February 2022, and 16 August 2022, 242 participants were enrolled in the ultra-brief treatment (n = 85), standard-length treatment (n = 80), and waitlist control (n = 77). Participants were mostly women with an average age of 48.56 years. At 9-weeks post-baseline, participants in the ultra-brief treatment group reported significantly lower depression (between groups d = 0.41) and anxiety (d = 0.53) than the waitlist control. The ultra-brief treatment was non-inferior for anxiety at both 9-weeks and 3-months follow-up. Non-inferiority for depression was observed at 9-weeks.

Conclusions

The online ultra-brief treatment resulted in significant reductions in depression and anxiety that were non-inferior to a longer treatment course after 9-weeks. Remotely delivered ultra-brief treatments have the potential to provide accessible and effective care for those who cannot, or would prefer not to, access longer psychological interventions.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Introduction

Depression and anxiety are common and are recognized as leading causes of global burden and disability (GBD 2019 Mental Disorders Collaborators, 2022; Rehm & Shield, Reference Rehm and Shield2019). Cognitive behavior therapy effectively reduces depression and anxiety symptoms when delivered face-to-face or online, either individually or in a group format (Cuijpers et al., Reference Cuijpers, Miguel, Harrer, Plessen, Ciharova, Ebert and Karyotaki2023). Despite the accessibility and efficacy of psychological treatments, many adults with mental health difficulties do not access or complete treatment (Bisby et al., Reference Bisby, Karin, Hathway, Scott, Heriseanu, Dudeney and Dear2022a; Harris et al., Reference Harris, Hobbs, Burgess, Pirkis, Diminic, Siskind and Whiteford2015). There are a range of possible reasons – the preference to self-manage their health, financial or time constraints, or the already considerable treatment burden of managing physical and mental health conditions (Andrade et al., Reference Andrade, Alonso, Mneimneh, Wells, Al-hamzawi, Borges and Kessler2014; Coombs, Meriwether, Caringi, & Newcomer, Reference Coombs, Meriwether, Caringi and Newcomer2021; Heckman, Mathew, & Carpenter, Reference Heckman, Mathew and Carpenter2015). It is critical for researchers, clinicians, and policy makers to support equitable access to mental healthcare by finding ways to overcome these barriers.

Low-intensity treatments are one treatment approach that is designed to reduce wait times, help individuals learn to self-manage their symptoms, and to be more cost-effective than traditional treatments (Bennett-Levy, Richards, & Farrand, Reference Bennett-Levy, Richards, Farrand, Bennett-Levy and Farrand2010; Shafran, Myles-Hooton, Bennett, & Öst, Reference Shafran, Myles-Hooton, Bennett and Öst2021). Low-intensity approaches often mimic the timeframe or content of typical treatments by providing patients with a series of ‘learning modules’ focused on psychological skills (e.g. managing unhelpful thoughts, relaxation) over several weeks to months. These treatments can be guided or unguided, and may be accompanied by regular email or text message prompts. Low-intensity treatments have shown promise in reducing mental health difficulties; however, they have demonstrated mixed outcomes and lower uptake when delivered in routine care settings without therapist guidance (Bower et al., Reference Bower, Kontopantelis, Sutton, Kendrick, Richards, Gilbody and Liu2013; Gilbody et al., Reference Gilbody, Brabyn, Lovell, Kessler, Devlin, Smith and Worthy2017, Reference Gilbody, Littlewood, Hewitt, Brierley, Tharmanathan and Araya2015; McDermott & Dozois, Reference McDermott and Dozois2019; Proudfoot et al., Reference Proudfoot, Clarke, Birch, Whitton, Parker, Manicavasagar and Hadzi-Pavlovic2013).

Ultra-brief treatments are another approach to the same goals of increased access, efficacy, and cost-effectiveness. As many adults only complete one or two face-to-face sessions or online modules, it is potentially worthwhile to consider how much treatment is needed and how treatment duration could be manipulated (Gilbody et al., Reference Gilbody, Brabyn, Lovell, Kessler, Devlin, Smith and Worthy2017; Owen, Adelson, Budge, Kopta, & Reese, Reference Owen, Adelson, Budge, Kopta and Reese2016). Ultra-brief treatments take significantly less time than standard-length treatments (Shafran et al., Reference Shafran, Myles-Hooton, Bennett and Öst2021; i.e., three or fewer sessions; Sperry & Binensztok, Reference Sperry and Binensztok2019). The rationale behind ultra-brief treatments is that clinically meaningful change can happen in a very short period of time for some people. Supporting this, some studies have observed large improvements in mental health symptoms after just one session, and in some cases, over three-quarters of the treatment effect occurs by halfway through an 8-week treatment (Bisby et al., Reference Bisby, Scott, Fisher, Gandy, Hathway, Heriseanu and Dear2022b; Robinson, Delgadillo, & Kellett, Reference Robinson, Delgadillo and Kellett2020).

The most commonly evaluated type of ultra-brief treatment is face-to-face single-session exposure therapy for specific phobias. One meta-analysis found no difference in efficacy between single-session and multi-session exposure therapy for specific phobia, further the single-session approach was less costly to deliver (Odgers, Kershaw, Li, & Graham, Reference Odgers, Kershaw, Li and Graham2022). This meta-analysis also reported no significant differences in the efficacy of single and multi-session exposure therapy at up to 14-months follow-up (Odgers et al., Reference Odgers, Kershaw, Li and Graham2022). There is also evidence supporting the feasibility of face-to-face single session therapy in outpatient mental health (Ewen et al., Reference Ewen, Mushquash, Mushquash, Bailey, Haggarty and Stones2018), acute mental health (Le Gros, Wyder, & Brunelli, Reference Le Gros, Wyder and Brunelli2019), and primary care settings (Hunter et al., Reference Hunter, Funderburk, Polaha, Bauman, Goodie and Hunter2018). Despite growing research into brief psychological treatments, the field has yet to explore the potential of online ultra-brief treatments. In one pilot study (n = 104), an unguided online behavioral activation single session treatment was compared to active (mindfulness) and inactive (usual care) control groups. Although there were no differences in depression symptoms between the single session treatment and control groups after 4 weeks, the single session treatment was associated with a reduction in dysfunctional attitudes, suggesting some therapeutic action (Jelinek et al., Reference Jelinek, Arlt, Moritz, Schröder, Westermann and Cludius2020).

Rigorous evaluations of ultra-brief treatments, their components, and their comparative efficacy against longer treatment approaches are lacking. The available evidence for ultra-brief treatments is promising, however largely restricted to face-to-face settings and disorder-specific treatments. Considering that many adults report more than one mental health difficulty, transdiagnostic ultra-brief treatments which target the common maintaining factors across several disorders may be more widely applicable and generalizable. Furthermore, previous reviews have highlighted a distinct lack of adequately powered randomized controlled trials of ultra-brief treatments for adults with various mental health concerns (Bertuzzi et al., Reference Bertuzzi, Fratini, Tarquinio, Cannistrà, Granese, Giusti and Pietrabissa2021; Dochat, Wooldridge, Herbert, Lee, & Afari, Reference Dochat, Wooldridge, Herbert, Lee and Afari2021; Odgers et al., Reference Odgers, Kershaw, Li and Graham2022). Finally, there has been little research into remotely delivered ultra-brief treatments for adults, which is surprising given the potential to situate brief, low-intensity treatments within stepped care models.

We developed and evaluated an online transdiagnostic ultra-brief treatment for adults with depression or anxiety based on cognitive behavioral principles. The decision to create a transdiagnostic ultra-brief treatment was made to increase the generalizability and relevance of the treatment, considering the narrow, disorder-specific approach of the existing literature. We compared the novel online ultra-brief treatment to an online 8-week cognitive-behavioral treatment and a waitlist control in a three-arm randomized controlled trial. The 8-week standard-length treatment is an established evidence-based treatment for depression and anxiety which has demonstrated acceptability and efficacy in several randomized controlled trials and observational studies (Dear et al., Reference Dear, Titov, Schwencke, Andrews, Johnston, Craske and Mcevoy2011; Hadjistavropoulos et al., Reference Hadjistavropoulos, Peynenburg, Thiessen, Nugent, Adlam, Owens and Titov2020; Titov et al., Reference Titov, Dear, Nielssen, Wootton, Kayrouz, Karin and Staples2020, Reference Titov, Dear, Schwencke, Andrews, Johnston, Craske and Mcevoy2011). Changes in depression and anxiety symptoms were measured at 5-weeks, 9-weeks (primary endpoint), and 3-months follow-up.

Methods

Design

We conducted a three-arm randomized controlled trial at Macquarie University, NSW, Australia. Potential participants were recruited via online advertising via social media and our research clinic's website (www.ecentreclinic.org). Interested and consenting participants submitted an online assessment and application for the course, which was followed by a telephone assessment with a psychologist to confirm eligibility. Participants were randomly allocated (1:1:1) to the ultra-brief treatment, standard-length treatment, or waitlist. The randomization sequence was determined using computerized software (www.random.org) prior to the enrollment of the first participant and group allocations were concealed until applicants had been enrolled. The trial was approved by the Macquarie University Human Research Ethics Committee. The protocol was prospectively registered on the Australian New Zealand Clinical Trials Registry, ACTRN12621001617853.

Participants

Eligibility criteria included: being an Australian resident, aged 18 years or over, and experiencing self-reported difficulties with depression or anxiety. Participants were considered ineligible if they were: living outside of Australia, unable to read and understand English, actively suicidal, or unable to keep themselves safe.

Therapists

Two masters-level psychologists (TB, MB) completed the telephone assessments, and one masters-level psychologist (TB) provided support to participants during treatment. We have reported the number of reciprocal therapeutic interactions between the psychologist and participant (e.g. messaging exchange, phone call). Administrative interactions were excluded. The primary psychologist (TB) was only available 2 days a week due to funding limitations. BFD provided clinical supervision.

Treatments

Ultra-brief treatment

The treatment materials consisted of one lesson (45 slides), one practice guide, case stories, and one additional resource on problem solving. The lesson included psychoeducation about the nature of depression and anxiety (e.g. causes, prevalence, and symptoms), and referenced three skills for managing symptoms: challenging unhelpful thoughts, managing physical symptoms, and graded exposure. The lesson was provided in a slideshow format and the content was the same as Lesson 1 in the standard-length treatment (described below) with an additional three slides introducing each of the three skills and modified text on existing slides encouraging continued practice. Participants were given 1-month to complete the treatment, and 1-week to contact the psychologist after completing the lesson (note that therapist contact was optional and not required).

Standard-length treatment

The treatment consisted of five lessons, seven additional resources, practice guides, and case stories (Edmonds, McCall, Dear, Titov, & Hadjistavropoulos, Reference Edmonds, McCall, Dear, Titov and Hadjistavropoulos2020; Titov et al., Reference Titov, Dear, Staples, Terides, Karin, Sheehan and McEvoy2015). The lessons included information and skills related to psychoeducation about depression/anxiety (Lesson 1; 42 slides), managing unhelpful thinking (Lesson 2; 31 slides), managing physical sensations (Lesson 3; 43 slides), managing unhelpful behaviors and graded exposure (Lesson 4; 36 slides), and relapse management (Lesson 5; 35 slides). Participants had the option to access a psychologist for the 8-week treatment period. Therapist support was provided via telephone and secure messaging and was initiated by the therapist within the first 2 weeks of treatment. A detailed description of the treatment content is provided in the online Supplementary Appendix S1.

Waitlist control

Participants in this group received access to the standard-length treatment after 9-weeks. There were no restrictions on the treatments that participants could receive during the waiting period.

Measures

Two primary outcomes (depression, anxiety) and one secondary outcome (disability) were administered at all timepoints (i.e. Week 1, Week 5, Week 9, and 3-month follow-up). Depression symptoms were measured using the Patient Health Questionnaire – 9-item (PHQ-9), a 9-item measure of depressive symptoms in the past 2 weeks (range 0–27) (Kroenke, Spitzer, & Williams, Reference Kroenke, Spitzer and Williams2001). Anxiety symptoms over the past 2 weeks were measured using the Generalized Anxiety Disorder – 7-item (GAD-7) (Spitzer, Kroenke, Williams, & Löwe, Reference Spitzer, Kroenke, Williams and Löwe2006). Disability was measured using a three-item scale which asked participants how much their symptoms impacted their work/school performance, social/leisure activities, family/life responsibilities from 0 (not at all) to 10 (extremely). The questions were adapted from the Sheehan Disability Scale (Sheehan, Harnett-Sheehan, & Raj, Reference Sheehan, Harnett-Sheehan and Raj1996).

At the initial assessment and pre-treatment, participants also completed the six-item Credibility and Expectancy Questionnaire (Devilly & Borkovec, Reference Devilly and Borkovec2000). This questionnaire asks participants to rate the credibility and perceived efficacy of treatment. All participants were asked their treatment preference during the screening process (i.e. prior to randomization). Participants also completed a purpose-built Treatment Satisfaction Questionnaire that asked for feedback on whether they found the treatment helpful, whether the treatment was sufficient to address their difficulties, and how the treatment they received could be improved.

Statistical analysis

The sample size was powered a priori for both superiority (ultra-brief v. waitlist, standard-length v. waitlist) and non-inferiority (ultra-brief v. standard-length) at the primary timepoint (i.e. 9-weeks post-baseline). For superiority, a minimum of 64 participants per group was required to detect a between-groups effect size of d = 0.50 when power was set at 80% and alpha was set at 0.05. For non-inferiority, a minimum of 39 participants per group was required when power was set at 90% and alpha was set at 0.025 (Julious, Reference Julious2004). To account for 20% attrition, we recruited 80 participants per group.

Analyses were conducted with the intention-to-treat sample using Multiple Imputation to generate replacement values for missing data. No interim analyses were conducted, and all analyses were done using SPSS (version 28). For superiority analyses, we used generalized estimating equations to examine change in symptoms over time according to group status. Due to non-normal distribution in the dependent variables, we used a gamma distribution with log-link function and unstructured working correlation matrix. Pairwise comparisons were reported in the case of significant time × group interaction. We reported Cohen's d (95% confidence intervals) and the mean difference (95% confidence intervals).

Our a priori approach to non-inferiority analyses used the reliable change index as the non-inferiority margin (PHQ-9 = 6.06, GAD-7 = 5.17). Non-inferiority was indicated when the estimated marginal means of the ultra-brief treatment group fell within 50% of the non-inferiority margin (PHQ-9 = 3.03 or ~d = 0.58, GAD-7 = 2.58 or ~d = 0.53). As our a priori approach is more liberal, we also report a post-hoc test of non-inferiority based on the recommendations of Cuijpers, Turner, Koole, van Dijke, and Smit (Reference Cuijpers, Turner, Koole, van Dijke and Smit2014), who suggest a clinically relevant difference of d ⩾ 0.24 in depression symptoms as a non-inferiority margin (in our sample, PHQ-9 mean difference ~ 1.25). As there is no equivalent margin for anxiety symptoms, we also adopted the same non-inferiority margin (GAD-7 mean difference ~ 1.16).

We also reported the number of participants who showed clinical improvements and deteriorations using two methods. First, the reliable change index was calculated for the PHQ-9 and GAD-7 in our sample. Consistent with past work (Rozental, Magnusson, Boettcher, Andersson, & Carlbring, Reference Rozental, Magnusson, Boettcher, Andersson and Carlbring2017), we entered test-retest reliability as the reliability coefficient. These coefficients were taken from a psychometric evaluation of the scales in an online research clinic (Staples et al., Reference Staples, Dear, Gandy, Fogliati, Fogliati, Karin and Titov2019). In our sample, the reliable change index was 5.33 on the PHQ-9 and 5.50 on the GAD-7. We report the number of individuals who experienced improvements or deteriorations which surpassed the reliable change index. Second, we used a percentage approach to attempt to account for non-linear change patterns (Karin, Dear, Heller, Gandy, & Titov, Reference Karin, Dear, Heller, Gandy and Titov2018). Clinical improvement was defined as reporting clinical symptoms at baseline and experiencing ⩾ 50% symptom reduction. Clinical deterioration was defined as a ⩾ 30% increase in symptoms.

Sensitivity analyses were conducted to examine the impact of baseline symptom severity on treatment efficacy. Change in depression and anxiety symptoms were compared between participants who scored above or below the cut-off score ⩾ 10 on the PHQ-9 (Kroenke et al., Reference Kroenke, Spitzer and Williams2001) or GAD-7 (Spitzer et al., Reference Spitzer, Kroenke, Williams and Löwe2006) at pre-treatment. χ2 tests were used to compare treatment satisfaction between the ultra-brief and standard-length treatments.

Results

Between 7 February 2022, and 16 August 2022, 335 participants were assessed for eligibility. Of the 242 successful applicants, 85 (35%) were randomized to the ultra-brief treatment, 80 (33%) were randomized to the standard-length treatment, and 77 (32%) were randomized to the waitlist (shown in Fig. 1). There were no group differences in baseline demographic or clinical characteristics. Participants were an average age of 48.56 years, predominantly female, residing in a capital city, had received a tertiary education, and were employed in a full-time or part-time capacity (see Table 1). Most participants were not taking medication for their mental health, and the majority had received previous mental health treatment. Regarding baseline symptoms, 63 and 46% of participants reported symptoms consistent with clinical depression and anxiety, respectively (as indicated by scores of ⩾ 10 on the PHQ-9 or GAD-7). There were no differences in credibility and expectancy ratings between treatment groups, and there were no significant differences in credibility and expectancy ratings pre- and post-randomization. During the assessment, 29% of participants reported a preference to receive the ultra-brief treatment, 35% reported a preference for the standard-length treatment, and 36% reported no preference.

Figure 1. Participant flow from application to 3-month follow-up.

Table 1. Baseline participant characteristics at initial assessment

a Mean (s.d.) reported.

b Participants could endorse more than one employment option.

c If participant endorsed seeing a psychiatrist, psychologist, or counselor for their mental health.

Primary outcomes

At 9-weeks post-baseline, both treatment groups had experienced greater reductions in depression symptoms compared to the control group (p < 0.0001). There was a significant difference in depression symptoms between the ultra-brief treatment and waitlist (between groups d = 0.41), as well as the standard-length treatment and waitlist (d = 0.52; shown in Table 2). There was no significant difference between the ultra-brief treatment and standard-length treatment (d = −0.09). At post-treatment, the ultra-brief treatment was deemed non-inferior to the standard-length treatment according to both a priori and post-hoc methods. Significant reductions in depression symptoms were also reported at 3-month follow-up with no difference between treatment groups (d = −0.24). At 3-month follow-up, the between-groups difference was equal to the non-inferiority margin of d ⩾ 0.24. Within-group symptom change and effect sizes for depression symptoms are reported in Table 3.

Table 2. Between-group differences in primary outcomes

ns, not significant, significance values are in bold.

Notes. Mean (s.d.) reported. Effect sizes consider ultra-brief as novel and standard-length treatment as the reference group.

Table 3. Estimated marginal means, within-group effect sizes (Cohen's d), and within-group mean differences

ns, non-significant.

Notes. Mean (s.d.) reported. 95% CI for Cohen's d and mean difference reported.

Notes. Mean (s.d.) reported. 95% CI for Cohen's d and mean difference reported.

Similarly, both treatment groups experienced greater reductions in anxiety symptoms from baseline to 9-weeks than the control group (p < 0.0001). At 9-weeks post-baseline, there were significant differences in anxiety symptoms between the ultra-brief treatment and waitlist (d = 0.53) and standard-length treatment and waitlist (d = 0.59; shown in Table 2). However, no significant difference emerged between the ultra-brief and standard-length treatments (d = −0.07). There was no significant difference in anxiety symptoms between treatment groups at 3-month follow-up (d = −0.03). The ultra-brief treatment was considered non-inferior to the standard-length treatment at both post-treatment and 3-month follow-up using both a priori and post-hoc methods. Within-group symptom change and within-group effect sizes for anxiety symptoms are reported in Table 3.

There were no differences in the number of participants who reported clinical improvements in depression symptoms between treatments when classified according to the reliable change index (ultra-brief n = 14; standard-length n = 15) or ⩾50% improvement (ultra-brief n = 13, standard-length n = 15; ps > 0.05). Similar results were found for improvements in anxiety symptoms across classification by reliable change index (ultra-brief n = 14; standard-length n = 9) or ⩾50% improvement (ultra-brief n = 10, standard-length n = 11; ps > 0.05). Very few participants reported a clinical deterioration in depression symptoms according to the reliable change index (ultra-brief n = 0; standard-length n = 0) or ⩾30% deterioration (ultra-brief n = 1, standard-length n = 2; ps > 0.05). Similarly, rates of deterioration in anxiety symptoms were no different between treatments according to the reliable change index (ultra-brief n = 0, standard-length n = 0) or ⩾30% deterioration approach (ultra-brief n = 1, standard-length n = 3; ps > 0.05).

Secondary outcome

Participants who received the ultra-brief or standard-length reported greater reductions in disability from baseline to 9-weeks compared to control (p < 0.0001). At 9-weeks, participants in the ultra-brief treatment had significantly lower self-reported disability than the waitlist (d = 0.38), as did the standard-length treatment (d = 0.45; see Table 2). There was no significant difference between the ultra-brief and standard-length treatments (d = −0.05). The treatment-related reductions in disability remained significant at 3-month follow-up. Within-group symptom change and within-group effect sizes for disability are reported in Table 3.

Sensitivity analyses

Sensitivity analyses examined the impact of baseline symptom severity on within-group symptom change. For both depression and anxiety symptoms, the pattern of change differed according to baseline symptom severity and treatment group (ps < 0.001). At 9-weeks post-baseline, larger symptom reductions were seen for participants who reported clinical levels of depression symptoms at baseline in the standard-length treatment (see Table 4). In contrast, larger reductions in depressive symptoms were observed for those with non-clinical symptoms at baseline in the ultra-brief treatment. Larger symptom reductions were also observed for participants with clinical levels of anxiety symptoms at baseline across both groups.

Table 4. Estimated marginal means, within-group effect sizes (Cohen's d), and within-group mean differences in treatment groups according to baseline symptom severity

ns, non-significant.

Notes. Mean (s.d.) reported. 95% CI for Cohen's d and mean difference reported.

Clinician contact

The psychologist spent an average of 23.03 min (s.d. = 14.55) with participants in the ultra-brief treatment, compared to an average of 47.37 min (s.d. = 46.54) with participants in the standard-length treatment (p < 0.0001). The number of therapeutic interactions significantly differed between groups (p < 0.0001). The median number of therapeutic interactions in the ultra-brief treatment was one (62%; Table 5), followed by none (36%). Two participants initiated a second contact with the psychologist. The median number of therapeutic interactions in the standard-length treatment was also one (24%), followed by none (17%) and three (17%).

Table 5. Number of therapeutic interactions between treatment groups

n (%) reported.

The time between completing the lesson and speaking with the psychologist was recorded for the ultra-brief treatment: participants spoke with the psychologist an average of 5.34 days later (s.d. = 3.52; range 1–15).

Satisfaction

Treatment satisfaction ratings indicated that a slightly lower proportion of participants reported being ‘Satisfied’ or ‘Very Satisfied’ with the ultra-brief treatment (62%) compared to the standard-length treatment (73%, p > 0.05). Most participants reported that the treatments were worth their time (ultra-brief: 79%, standard-length: 90%, p > 0.05) and would recommend the treatment (ultra-brief: 78%, standard-length: 88%, p > 0.05). Whereas 31% of ultra-brief treatment participants considered treatment to have been sufficient for their difficulties, 54% of standard-length treatment participants considered treatment to have been sufficient (p = 0.01). By 9-weeks post-baseline, 25% of ultra-brief treatment participants had sought further psychological treatment (note that the standard-length treatment participants were still in active treatment at this timepoint). During the 9-week treatment period, 7% of ultra-brief treatment participants and 10% of standard-length treatment participants reported a worsening of their symptoms.

Discussion

An online transdiagnostic ultra-brief treatment resulted in significant reductions in depression and anxiety symptoms that were non-inferior to an online 8-week transdiagnostic standard-length treatment and superior to a waitlist control after 9-weeks. Both active treatments resulted in moderate reductions in depression and anxiety symptoms. This finding is consistent with randomized controlled trials which directly compared single and multiple sessions of exposure therapy for specific phobia (Odgers et al., Reference Odgers, Kershaw, Li and Graham2022). Treatment gains were maintained in the short-term, as indicated by sustained symptom reductions at 3-month follow-up. However, the ultra-brief treatment was not considered non-inferior at 3-month follow-up as the between-groups difference was equal to the non-inferiority margin of d ⩾ 0.24. This is the largest and first fully powered randomized controlled trial of an online therapist-guided ultra-brief treatment for depression and anxiety. The findings of the current study suggest that online ultra-brief treatments may represent another valuable approach for providing treatment and could hold particular potential for people who are unable or unwilling to take up or complete standard-length treatments.

Our findings provide preliminary evidence that different people may benefit from different treatment formats. We observed that symptom reductions appeared larger for those with clinical symptoms in the standard-length treatment, whereas symptom reductions appeared larger for those with non-clinical symptoms in the ultra-brief treatment. However, these comparisons were not tested, and the pattern emerged for depression symptoms only. On one hand, these results may suggest that individuals with more complex or severe symptoms require more intensive treatments and may benefit from a larger treatment dose. On the other hand, our results may suggest that individuals with non-clinical symptoms may have more motivation and a greater ability to work independently, which is something that ultra-brief treatments require. In any case, future research is needed to understand the optimal dosing of treatment across different symptom clusters.

It was interesting to observe the time course of symptom change in the current study. Although the ultra-brief treatment was not superior to the waitlist control after 5-weeks, the ultra-brief treatment did result in significantly greater reductions in depression and anxiety symptoms after 9-weeks. It may be the case that people who received the ultra-brief treatment experienced improvements in related cognitive or affective factors before symptom reductions, consistent with the findings of past research into brief treatments. In one pilot study (n = 104), an online unguided behavioral activation single-session treatment for depression did not result in greater reductions in depressive symptoms than the control groups after 4 weeks, the treatment was associated with greater reductions in dysfunctional attitudes (Jelinek et al., Reference Jelinek, Arlt, Moritz, Schröder, Westermann and Cludius2020). It is possible that changes in key cognitive processes preceded reductions in depressive symptoms, and that the treatment may have resulted in significant symptom improvements at a later timepoint. Similar results have been reported in other clinical trials of ultra-brief treatments – for instance, although no difference in changes in health anxiety symptoms were found between an anxiety sensitivity reduction single session treatment and an active control at up to 4 weeks follow-up (n = 68), the treatment group did show larger reductions in anxiety sensitivity (O'Bryan et al., Reference O'Bryan, McLeish, Norr, Ely, Bass, Davies and Mano2021). In a sample of adults with panic disorder (n = 28), participants who received a single session of exposure therapy showed reduced hypervigilance for fearful stimuli compared to the waitlist control a day after treatment, even though panic and anxiety symptoms remained similar. After 4 weeks, reduced hypervigilance following treatment was associated with greater reductions in agoraphobic avoidance (Reinecke, Waldenmaier, Cooper, & Harmer, Reference Reinecke, Waldenmaier, Cooper and Harmer2013). These results suggest that the therapeutic effects of ultra-brief treatments may not be immediately evident and may instead be realized a few weeks to months later, potentially via changes in key cognitive processes.

The treatments in this study were both grounded in cognitive behaviour therapy and included the same core therapeutic information and skills, which the ultra-brief treatment delivered in a much briefer way. One outstanding question from this study concerns the mechanisms of ultra-brief treatment and why the current study found an ultra-brief treatment to be similarly effective as the standard-length treatment after 9-weeks. Past work suggests that increased skills use, changes in daily activities, and completing practice tasks are associated with symptom reductions (Bisby et al., Reference Bisby, Dear, Karin, Fogliati, Dudeney, Ryan and Titov2023; Kazantzis et al., Reference Kazantzis, Whittington, Zelencich, Kyrios, Norton and Hofmann2016; Terides et al., Reference Terides, Dear, Fogliati, Gandy, Jones and Titov2018). It is possible that participants in the ultra-brief treatment took up the recommended skills and continued to practice them, even after treatment ended. However, it is also possible that the ultra-brief treatment promoted symptom reductions through the engagement of ‘common factors’ (Cuijpers, Reijnders, & Huibers, Reference Cuijpers, Reijnders and Huibers2019). Common factors are believed to be universal mechanisms of psychological treatment that can operate irrespective of treatment duration or content, and include insight and awareness (Høglend & Hagtvet, Reference Høglend and Hagtvet2019), the therapeutic alliance (Baier, Kline, & Feeny, Reference Baier, Kline and Feeny2020), ‘remoralization’ and hope (Frank, Reference Frank1974), and treatment expectancy (Zilcha-Mano, Roose, Brown, & Rutherford, Reference Zilcha-Mano, Roose, Brown and Rutherford2019). It may be that the delivery of the ultra-brief treatment, being therapist-guided and delivered by a specialist research clinic, engaged these factors to a greater extent than other public health self-help online treatments (e.g. Gilbody et al., Reference Gilbody, Brabyn, Lovell, Kessler, Devlin, Smith and Worthy2017). Future research is needed to understand how and why ultra-brief treatments result in significant symptom reductions, as this knowledge will support the development of more effective treatments.

Although the two treatments resulted in similar clinical efficacy, fewer participants in the ultra-brief treatment group felt that the treatment was sufficient in addressing their difficulties. Indeed, about a quarter of ultra-brief treatment participants sought additional psychological treatment after finishing treatment. Thus, there appears to be important differences between acceptability and efficacy, potentially highlighting the importance of participant-led outcomes such as satisfaction and perceived benefit as indicators. Of course, it should be noted that preferences for the ultra-brief treatment were slightly lower (29% ultra-brief v. 35% standard-length), and that approximately a third of ultra-brief treatment participants would have preferred to complete the standard-length treatment instead. Unlike the participants who had the option to engage less in the longer treatment if desired (e.g. lower module completion, less therapist contact), participants did not have the option to engage more in the ultra-brief treatment. This highlights the potential need to consider treatment preferences, and utilize research designs that account for participant preference in the evaluation process (Walter, Turner, Macaskill, McCaffery, & Irwig, Reference Walter, Turner, Macaskill, McCaffery and Irwig2017). Indeed, ultra-brief treatments may be more efficacious and acceptable in those who are specifically seeking briefer treatments and may not be endorsed by those seeking longer treatments. Future research trials carefully exploring the interaction of preference, treatment acceptability, and efficacy are therefore needed. There may also be a place for psychoeducation or promotion around the benefits of ultra-brief treatments, as they may be perceived as less effective due to the shorter timeframe. In any case, for some individuals, the therapeutic encounter provided by an online ultra-brief treatment was sufficient for managing their depression or anxiety. While for others, the encounter may have helped them build insight into their difficulties and prompted them to seek further intensive support post-treatment.

This study is the first to develop and evaluate an online transdiagnostic ultra-brief treatment for depression and anxiety in adults and therefore it is critical for our approach to be critiqued, replicated, and extended. Although there are calls to develop and deliver briefer treatment options for a range of mental health problems, there is no evidence base outlining for whom ultra-brief treatments are appropriate and helpful or the essential (or non-essential) components of ultra-brief treatments (Linardon & Fuller-Tyszkiewicz, Reference Linardon and Fuller-Tyszkiewicz2023). Given this was a remotely delivered and therapist-guided ultra-brief treatment, the delivery of information and provision of therapeutic support (via telephone) happened on separate occasions. The therapist's role in the telephone call was to reinforce the therapeutic materials and answer questions without introducing new psychotherapeutic information or skills. However, the contribution of each treatment component (i.e. the lesson, the therapist) is unclear, and we do not know whether the ultra-brief treatment would have been less effective if provided in an unguided format. As such, the treatment delivery format lends itself well to future dismantling studies exploring the components driving the efficacy of the online ultra-brief treatment.

The findings of the current study should be taken alongside several limitations. First, the standard-length treatment used in our study appears to have resulted in smaller within-group effect size than in previous reports (Titov et al., Reference Titov, Dear, Nielssen, Wootton, Kayrouz, Karin and Staples2020, Reference Titov, Dear, Staples, Terides, Karin, Sheehan and McEvoy2015). This difference is likely due to a range of factors, including the current study recruiting a less severe sample and employing more conservative statistical analyses. Although future replication is needed to support non-inferiority of the ultra-brief treatment, such methodological differences would have impacted the treatment efficacy estimates to the same extent. It is also possible that the requirement for participants to be willing to randomized to either treatment attracted or resulted in a sample with different clinical histories, motivations, and needs. Secondly, our broad eligibility criteria did not require participants to experience clinical symptoms to participate, with approximately half the sample being in the non-clinical range at baseline. While our sensitivity analyses indicate that the ultra-brief treatment is still effective for people with clinical symptoms, it is important for future research to replicate our results in different subgroups to further understand which treatments work for whom. Indeed, future work using diagnostic interviews and minimum symptom thresholds are essential before firm conclusions are drawn.

This is the first fully powered randomized controlled trial to examine and compare an online therapist-guided ultra-brief treatment for depression and anxiety to an online therapist-guided standard-length and waitlist control. Evidence of efficacy and non-inferiority were found for the ultra-brief treatment after 9-weeks, suggesting that ultra-brief psychotherapies can result in meaningful improvements in mental health symptoms. It is important for future work to explore the long-term efficacy of ultra-brief treatments as non-inferiority was maintained at 3-month follow-up for anxiety, but not depression, symptoms. There are many outstanding questions about the efficacy of online ultra-brief treatments for anxiety and depression – particularly for whom they are effective, how, and why. However, the findings of the current study suggest that brief treatments may have significant potential as another treatment approach and may represent a particularly useful option for people unable or unwilling to engage in longer treatments.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S003329172300260X

Financial support

This study was supported by a Macquarie University Research Acceleration Scheme grant to MB.

Competing interests

We declare no competing interests. BFD and NT are authors and developers of the Wellbeing Course but derive no personal or financial benefit from it. MB, BFD, and NT are authors of the Single Session Course but derive no personal or financial benefit from it. BFD and NT are funded by the Australian Government to develop and provide a free national online assessment and treatment service, the MindSpot Clinic (www.mindspot.org.au), for adults with anxiety, depression, or chronic health conditions. The remaining authors have no conflicts of interest to declare.

Ethical standards

All participants provided informed consent before applying for the study. This study was approved by the Human Research Ethics Committee of Macquarie University, Sydney, Australia, and was prospectively registered on the Australian and New Zealand Clinical Trials Registry. The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Andrade, L. H., Alonso, J., Mneimneh, Z., Wells, J. E., Al-hamzawi, A., Borges, G., … Kessler, R. C. (2014). Barriers to mental health treatment: Results from the WHO World Mental Health (WMH) surveys. Psychological Medicine, 44, 13031317. doi: 10.1017/S0033291713001943.BarriersCrossRefGoogle Scholar
Baier, A. L., Kline, A. C., & Feeny, N. C. (2020). Therapeutic alliance as a mediator of change: A systematic review and evaluation of research. Clinical Psychology Review, 82(November 2019), 101921. doi: 10.1016/j.cpr.2020.101921CrossRefGoogle Scholar
Bennett-Levy, J., Richards, D. A., & Farrand, P. (2010). Low intensity CBT interventions: A revolution in mental health care. In Bennett-Levy, J. & Farrand, P. (Eds.), Oxford guide to low intensity CBT interventions (pp. 318). New York: Oxford University Press. doi: 10.1093/med:psych/9780199590117.003.0001.CrossRefGoogle Scholar
Bertuzzi, V., Fratini, G., Tarquinio, C., Cannistrà, F., Granese, V., Giusti, E. M., … Pietrabissa, G. (2021). Single-session therapy by appointment for the treatment of anxiety disorders in youth and adults: A systematic review of the literature. Frontiers in Psychology, 12(September), 510. doi: 10.3389/fpsyg.2021.721382CrossRefGoogle ScholarPubMed
Bisby, M. A., Dear, B. F., Karin, E., Fogliati, R., Dudeney, J., Ryan, K., … Titov, N. (2023). An open trial of the things you do questionnaire: Changes in daily actions during internet-delivered treatment for depressive and anxiety symptoms. Journal of Affective Disorders, 329, 483492. doi: 10.1016/j.jad.2023.02.117CrossRefGoogle Scholar
Bisby, M. A., Karin, E., Hathway, T., Scott, A. J., Heriseanu, A. I., Dudeney, J., … Dear, B. F. (2022a). A meta-analytic review of randomized clinical trials of online treatments for anxiety: Inclusion/exclusion criteria, uptake, adherence, dropout, and clinical outcomes. Journal of Anxiety Disorders, 92, 102638. doi: 10.1016/j.janxdis.2022.102638CrossRefGoogle ScholarPubMed
Bisby, M. A., Scott, A. J., Fisher, A., Gandy, M., Hathway, T., Heriseanu, A. I., … Dear, B. F. (2022b). The timing and magnitude of symptom improvements during an internet-delivered transdiagnostic treatment program for anxiety and depression. Journal of Consulting and Clinical Psychology, 91, 95111. doi: 10.1037/ccp0000761.CrossRefGoogle ScholarPubMed
Bower, P., Kontopantelis, E., Sutton, A., Kendrick, T., Richards, D. A., Gilbody, S., … Liu, E. T.-H. (2013). Influence of initial severity of depression on effectiveness of low intensity interventions: Meta-analysis of individual patient data. BMJ, 346, f540. doi: 10.1136/bmj.f540CrossRefGoogle ScholarPubMed
Coombs, N. C., Meriwether, W. E., Caringi, J., & Newcomer, S. R. (2021). Barriers to healthcare access among U.S. adults with mental health challenges: A population-based study. SSM – Population Health, 15, 100847. doi: 10.1016/j.ssmph.2021.100847CrossRefGoogle ScholarPubMed
Cuijpers, P., Miguel, C., Harrer, M., Plessen, C. Y., Ciharova, M., Ebert, D., & Karyotaki, E. (2023). Cognitive behavior therapy vs. control conditions, other psychotherapies, pharmacotherapies and combined treatment for depression: A comprehensive meta-analysis including 409 trials with 52,702 patients. World Psychiatry, 22(1), 105115. doi: 10.1002/wps.21069CrossRefGoogle Scholar
Cuijpers, P., Reijnders, M., & Huibers, M. J. H. (2019). The role of common factors in psychotherapy outcomes. Annual Review of Clinical Psychology, 15, 207231. doi: 10.1146/annurev-clinpsy-050718-095424CrossRefGoogle ScholarPubMed
Cuijpers, P., Turner, E. H., Koole, S. L., van Dijke, A., & Smit, F. (2014). What is the threshold for a clinically relevant effect? The case of major depressive disorders. Depression and Anxiety, 31(5), 374378. doi: 10.1002/da.22249CrossRefGoogle ScholarPubMed
Dear, B. F., Titov, N., Schwencke, G., Andrews, G., Johnston, L., Craske, M. G., & Mcevoy, P. (2011). An open trial of a brief transdiagnostic internet treatment for anxiety and depression. Behaviour Research and Therapy, 49(12), 830837. doi: 10.1016/j.brat.2011.09.007CrossRefGoogle ScholarPubMed
Devilly, G. J., & Borkovec, T. D. (2000). Psychometric properties of the credibility/expectancy questionnaire. Journal of Behavior Therapy and Experimental Psychiatry, 31(2), 7386. doi: 10.1016/S0005-7916(00)00012-4CrossRefGoogle ScholarPubMed
Dochat, C., Wooldridge, J. S., Herbert, M. S., Lee, M. W., & Afari, N. (2021). Single-session acceptance and commitment therapy (ACT) interventions for patients with chronic health conditions: A systematic review and meta-analysis. Journal of Contextual Behavioral Science, 20(April 2020), 5269. doi: 10.1016/j.jcbs.2021.03.003CrossRefGoogle ScholarPubMed
Edmonds, M., McCall, H., Dear, B. F., Titov, N., & Hadjistavropoulos, H. D. (2020). Does concurrent medication usage affect patient response to internet-delivered cognitive behaviour therapy for depression and anxiety? Internet Interventions, 19(December 2019), 100302. doi: 10.1016/j.invent.2019.100302CrossRefGoogle ScholarPubMed
Ewen, V., Mushquash, A. R., Mushquash, C. J., Bailey, S. K., Haggarty, J. M., & Stones, M. J. (2018). Single-session therapy in outpatient mental health services: Examining the effect on mental health symptoms and functioning. Social Work in Mental Health, 16(5), 573589. doi: 10.1080/15332985.2018.1456503CrossRefGoogle Scholar
Frank, J. D. (1974). Psychotherapy: The restoration of morale. The American Journal of Psychiatry, 131(3), 271274. doi: 10.1176/ajp.131.3.271CrossRefGoogle ScholarPubMed
GBD 2019 Mental Disorders Collaborators (2022). Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet Psychiatry, 9(2), 137150. doi: 10.1016/S2215-0366(21)00395-3CrossRefGoogle Scholar
Gilbody, S., Brabyn, S., Lovell, K., Kessler, D., Devlin, T., Smith, L., … Worthy, G. (2017). Telephone-supported computerised cognitive – behavioural therapy: REEACT-2 large-scale pragmatic randomised controlled trial. The British Journal of Psychiatry, 210(5), 362367. doi: 10.1192/bjp.bp.116.192435.CrossRefGoogle ScholarPubMed
Gilbody, S., Littlewood, E., Hewitt, C., Brierley, G., Tharmanathan, P., Araya, R., … REEACT Team. (2015). Computerised cognitive behaviour therapy (cCBT) as treatment for depression in primary care (REEACT trial): Large scale pragmatic randomised controlled trial. BMJ (Clinical Research Ed.), 351, h5627. doi: 10.1136/bmj.h5627Google ScholarPubMed
Hadjistavropoulos, H. D., Peynenburg, V., Thiessen, D. L., Nugent, M., Adlam, K., Owens, K. M. B., … Titov, N. (2020). A pragmatic factorial randomized controlled trial of transdiagnostic internet-delivered cognitive behavioural therapy: Exploring benefits of homework reflection questionnaires and twice-weekly therapist support. Internet Interventions, 22, 100357. doi: 10.1016/j.invent.2020.100357CrossRefGoogle ScholarPubMed
Harris, M. G., Hobbs, M. J., Burgess, P. M., Pirkis, J. E., Diminic, S., Siskind, D. J., … Whiteford, H. A. (2015). Frequency and quality of mental health treatment for affective and anxiety disorders among Australian adults. Medical Journal of Australia, 202(4), 185190. doi: 10.5694/mja14.00297CrossRefGoogle ScholarPubMed
Heckman, B. W., Mathew, A. R., & Carpenter, M. J. (2015). Treatment burden and treatment fatigue as barriers to health. Current Opinion in Psychology, 5, 3136. doi: 10.1016/j.copsyc.2015.03.004CrossRefGoogle ScholarPubMed
Høglend, P., & Hagtvet, K. (2019). Change mechanisms in psychotherapy: Both improved insight and improved affective awareness are necessary. Journal of Consulting and Clinical Psychology, 87(4), 332344. doi: 10.1037/ccp0000381CrossRefGoogle ScholarPubMed
Hunter, C. L., Funderburk, J. S., Polaha, J., Bauman, D., Goodie, J. L., & Hunter, C. M. (2018). Primary care behavioral health (PCBH) model research: Current state of the science and a call to action. Journal of Clinical Psychology in Medical Settings, 25(2), 127156. doi: 10.1007/s10880-017-9512-0CrossRefGoogle Scholar
Jelinek, L., Arlt, S., Moritz, S., Schröder, J., Westermann, S., & Cludius, B. (2020). Brief web-based intervention for depression: Randomized controlled trial on behavioral activation. Journal of Medical Internet Research, 22(3), e15312. doi: 10.2196/15312CrossRefGoogle ScholarPubMed
Julious, S. A. (2004). Tutorial in biostatistics: Sample sizes for clinical trials with normal data. Statistics in Medicine, 23(12), 19211986. doi: 10.1002/sim.1783CrossRefGoogle Scholar
Karin, E., Dear, B. F., Heller, G. Z., Gandy, M., & Titov, N. (2018). Measurement of symptom change following web-based psychotherapy: Statistical characteristics and analytical methods for measuring and interpreting change. JMIR Mental Health, 5(3), e10200. doi: 10.2196/10200CrossRefGoogle ScholarPubMed
Kazantzis, N., Whittington, C., Zelencich, L., Kyrios, M., Norton, P. J., & Hofmann, S. G. (2016). Quantity and quality of homework compliance: A meta-analysis of relations with outcome in cognitive behavior therapy. Behavior Therapy, 47(5), 755772. doi: 10.1016/j.beth.2016.05.002CrossRefGoogle ScholarPubMed
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16, 606613.CrossRefGoogle ScholarPubMed
Le Gros, J., Wyder, M., & Brunelli, V. (2019). Single session work: Implementing brief intervention as routine practice in an acute care mental health assessment service. Australasian Psychiatry, 27(1), 2124. doi: 10.1177/1039856218815756CrossRefGoogle Scholar
Linardon, J., Fuller-Tyszkiewicz, M. (2023). The promise of single session interventions for eating disorders: Lessons to be learned from research on digital mental health. Commentary on Schleider et al. (2023). International Journal of Eating Disorders, 56(5), 867870. doi: 10.1002/eat.23947CrossRefGoogle ScholarPubMed
McDermott, R., & Dozois, D. J. A. (2019). A randomized controlled trial of internet-delivered CBT and attention bias modification for early intervention of depression. Journal of Experimental Psychopathology, 10(2), 2043808719842502. doi: 10.1177/2043808719842502CrossRefGoogle Scholar
O'Bryan, E. M., McLeish, A. C., Norr, A. M., Ely, S., Bass, Z., Davies, C. D., … Mano, K. E. J. (2021). A randomized controlled trial evaluating the efficacy of a brief computerized anxiety sensitivity reduction intervention for health anxiety. Journal of Anxiety Disorders, 82, 102425. doi: 10.1016/j.janxdis.2021.102425CrossRefGoogle ScholarPubMed
Odgers, K., Kershaw, K. A., Li, S. H., & Graham, B. M. (2022). The relative efficacy and efficiency of single- and multi-session exposure therapies for specific phobia: A meta-analysis. Behaviour Research and Therapy, 159, 104203. doi: 10.1016/j.brat.2022.104203CrossRefGoogle ScholarPubMed
Owen, J. J., Adelson, J., Budge, S., Kopta, S. M., & Reese, R. J. (2016). Good-enough level and dose-effect models: Variation among outcomes and therapists. Psychotherapy Research, 26(1), 2230. doi: 10.1080/10503307.2014.966346CrossRefGoogle ScholarPubMed
Proudfoot, J., Clarke, J., Birch, M.-R., Whitton, A. E., Parker, G., Manicavasagar, V., … Hadzi-Pavlovic, D. (2013). Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: A randomised controlled trial. BMC Psychiatry, 13, 312. doi: 10.1186/1471-244X-13-312CrossRefGoogle Scholar
Rehm, J., & Shield, K. D. (2019). Global burden of disease and the impact of mental and addictive disorders. Current Psychiatry Reports, 21(2), 10. doi: 10.1007/s11920-019-0997-0CrossRefGoogle ScholarPubMed
Reinecke, A., Waldenmaier, L., Cooper, M., & Harmer, C. (2013). Changes in automatic threat processing precede and predict clinical changes with exposure-based cognitive-behavior therapy for panic disorder. Biological Psychiatry, 73(11), 10641070. doi:10.1016/j.biopsych.2013.02.005.CrossRefGoogle ScholarPubMed
Robinson, L., Delgadillo, J., & Kellett, S. (2020). The dose-response effect in routinely delivered psychological therapies: A systematic review. Psychotherapy Research, 30(1), 7996. doi: 10.1080/10503307.2019.1566676CrossRefGoogle ScholarPubMed
Rozental, A., Magnusson, K., Boettcher, J., Andersson, G., & Carlbring, P. (2017). For better or worse: An individual patient data meta-analysis of deterioration among participants receiving internet-based cognitive behavior therapy. Journal of Consulting and Clinical Psychology, 85(2), 160177. doi: 10.1037/ccp0000158CrossRefGoogle ScholarPubMed
Shafran, R., Myles-Hooton, P., Bennett, S., & Öst, L.-G. (2021). The concept and definition of low intensity cognitive behaviour therapy. Behaviour Research and Therapy, 138, 103803. doi: 10.1016/j.brat.2021.103803CrossRefGoogle ScholarPubMed
Sheehan, D. V., Harnett-Sheehan, K., & Raj, B. A. (1996). The measurement of disability. International Clinical Psychopharmacology, 11(Suppl 3), 8995. doi: 10.1097/00004850-199606003-00015CrossRefGoogle ScholarPubMed
Sperry, L., & Binensztok, V. (2019). Ultra-brief cognitive behavioral interventions: A new practice model for mental health and integrated care. New York, NY, USA: Routledge.CrossRefGoogle Scholar
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 10921097. doi: 10.1001/archinte.166.10.1092CrossRefGoogle ScholarPubMed
Staples, L. G., Dear, B. F., Gandy, M., Fogliati, V. J., Fogliati, R., Karin, E., … Titov, N. (2019). Psychometric properties and clinical utility of brief measures of depression, anxiety, and general distress: The PHQ-2, GAD-2, and K-6. General Hospital Psychiatry, 56(September 2018), 1318. doi: 10.1016/j.genhosppsych.2018.11.003CrossRefGoogle ScholarPubMed
Terides, M. D., Dear, B. F., Fogliati, V. J., Gandy, M., Jones, M. P., & Titov, N. (2018). Increased skills usage statistically mediates symptom reduction in self-guided internet- delivered cognitive – behavioural therapy for depression and anxiety: A randomised controlled trial. Cognitive Behaviour Therapy, 6073, 119. doi: 10.1080/16506073.2017.1347195Google Scholar
Titov, N., Dear, B. F., Nielssen, O., Wootton, B., Kayrouz, R., Karin, E., … Staples, L. G. (2020). User characteristics and outcomes from a national digital mental health service: An observational study of registrants of the Australian MindSpot Clinic. The Lancet Digital Health, 2(11), e582e593. doi: 10.1016/S2589-7500(20)30224-7CrossRefGoogle ScholarPubMed
Titov, N., Dear, B. F., Schwencke, G., Andrews, G., Johnston, L., Craske, M. G., & Mcevoy, P. (2011). Transdiagnostic internet treatment for anxiety and depression: A randomised controlled trial. Behaviour Research and Therapy, 49(8), 441452. doi: 10.1016/j.brat.2011.03.007CrossRefGoogle ScholarPubMed
Titov, N., Dear, B. F., Staples, L. G., Terides, M. D., Karin, E., Sheehan, J., … McEvoy, P. M. (2015). Disorder-specific versus transdiagnostic and clinician-guided versus self-guided treatment for major depressive disorder and comorbid anxiety disorders: A randomized controlled trial. Journal of Anxiety Disorders, 35, 88102. doi: 10.1016/j.janxdis.2015.08.002CrossRefGoogle ScholarPubMed
Walter, S., Turner, R., Macaskill, P., McCaffery, K., & Irwig, L. (2017). Beyond the treatment effect: Evaluating the effects of patient preferences in randomised trials. Statistical Methods in Medical Research, 26(1), 489507. doi: 10.1177/0962280214550516CrossRefGoogle ScholarPubMed
Zilcha-Mano, S., Roose, S. P., Brown, P. J., & Rutherford, B. R. (2019). Not just nonspecific factors: The roles of alliance and expectancy in treatment, and their neurobiological underpinnings. Frontiers in Behavioral Neuroscience, 12, 293. https://www.frontiersin.org/articles/10.3389/fnbeh.2018.00293.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Participant flow from application to 3-month follow-up.

Figure 1

Table 1. Baseline participant characteristics at initial assessment

Figure 2

Table 2. Between-group differences in primary outcomes

Figure 3

Table 3. Estimated marginal means, within-group effect sizes (Cohen's d), and within-group mean differences

Figure 4

Table 4. Estimated marginal means, within-group effect sizes (Cohen's d), and within-group mean differences in treatment groups according to baseline symptom severity

Figure 5

Table 5. Number of therapeutic interactions between treatment groups

Supplementary material: File

Bisby et al. supplementary material

Bisby et al. supplementary material
Download Bisby et al. supplementary material(File)
File 22.7 KB