Internet-based Interventions For Depression Research Articles

Location-scale modeling as an integrative approach to symptom dynamics during psychotherapy: An illustration with depressive symptoms.

Depressive symptom dynamics, including change trajectories and symptom variability, have been related to therapy outcomes. However, such dynamics have often been examined separately and related to outcomes of interest using two-step analyses, which are characterized by several limitations. Here, we show how to overcome these limitations using location-scale models in a dynamic structural equation modeling framework. We introduce location-scale modeling in an accessible manner to pave the way for its use in research integrating within-person dynamics and intervention-related change in psychopathology, and we illustrate this modeling approach in a large-scale internet-based intervention for depression (N = 1,656). Using eight data points sampled across about 8 weeks, we predicted improvement across the intervention (50% symptom reduction) as a function of early change and symptom variability. Early symptom change was associated with a more likely improvement across therapy. Variability of symptoms beyond change trajectories during the intervention was associated with less likely improvement. Location-scale models, and dynamic structural equation modeling more generally, are well suited to modeling how patterns of symptom change during psychotherapy are related to important (e.g., therapy) outcomes. Our illustrative application of location-scale modeling showed that symptom variability was associated with less overall improvement in depressive symptoms. However, this finding requires replication with more intensive sampling of symptoms before final conclusions can be drawn on when and how to distinguish maladaptive from adaptive variability during psychotherapy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Human contact in internet-based interventions for depression: A pre-registered replication and meta-analysis of randomized trials

IntroductionInternet-based self-help interventions have shown to be effective in the treatment of depression. Several meta-analyses indicated that human contact has a crucial impact on adherence and outcome. While most research focused on the role of guidance during interventions, a review by Andersson and Johansson (2012) suggested that contact before the intervention too may play an important role. ObjectiveWe investigated the impact of the degree of contact in internet-based interventions (IBIs) for depression on outcome in adults suffering from elevated symptoms of depression. MethodsWe conducted a preregistered meta-analysis (www.osf.io/4mzyd) and included trials comparing IBIs for depression against control conditions (treatment as usual [TAU] or waiting list [WL]) in patients with symptoms of unipolar depression searching the databases PsycINFO and Cochrane's Central Register of Controlled Trials (CENTRAL) limited to entries from EMBASE and PubMed. Following Andersson and Johansson (2012), contact before an intervention was defined as having had a diagnostic interview before the IBI, and contact during intervention was defined as having received guidance during the IBI. IBIs were grouped as providing (0) no contact, (1) contact before the IBI, (2) contact during the IBI, or (3) contact both before and during the IBI. The primary outcome was standardized mean difference (SMD) of the IBI and control in depressive symptoms at treatment termination. Secondary outcomes were study dropout and adherence to the IBI. ResultsWe included 56 eligible trials that randomized 13,335 patients to 75 internet-based intervention conditions and control groups (TAU in 23 trials, WL in 33 trials). In total, 44 trials (78.57 %) were judged to show some concerns or a high risk of bias. Overall heterogeneity was high regarding the primary outcome (I2s < 66 %) and even higher for secondary outcomes (I2s < 91 %). Degree of contact was a robust predictor of outcome and adherence in all pre-registered and exploratory analyses. We found the effect of the IBI to increase with higher degree of contact. However, in pair-wise contrasts, only IBIs offering both contact before and during the intervention (SMD = 0.573, 95 % CI: 0.437, 0.709) significantly outperformed interventions offering no contact (SMD = 0.224, 95 % CI: 0.090, 0.340). ConclusionsThe results suggest that contact before and during an intervention increases the effects of IBIs. The combination of contact before and during the intervention seems to a pivotal role regarding adherence as well as treatment outcome for patients suffering from depression.

The effect of an internet-based intervention for depression on cortisol and alpha-amylase

IntroductionPsychotherapeutic interventions for major depressive disorder (MDD) have been suggested to be associated with a normalization of biological stress system (i.e., the hypothalamic-pituitary-adrenal axis and the autonomic nervous system) dysregulation. Furthermore, pre-intervention cortisol parameters have been identified as prescriptive biological markers of treatment success. However, evidence of treatment effects on the biological stress systems is still sparse, and results are heterogeneous. The current study examined the effect of an internet-based intervention for MDD on salivary cortisol and alpha-amylase as well as hair cortisol concentrations. Moreover, the prescriptive capacity of pre-intervention cortisol and alpha-amylase concentrations on treatment response was explored. MethodsThirty-eight participants suffering from mild to moderate MDD collected saliva and hair samples throughout the intervention. Biological outcome parameters were salivary cortisol and alpha-amylase (awakening response, total diurnal output, diurnal slope) and hair cortisol concentrations. Treatment response was indicated by change in depression severity and perceived chronic stress. ResultsTreatment response on depression scores or chronic stress was not associated with changes in any of the cortisol or alpha-amylase parameters. Exploratory analysis indicated that non-responders showed a steeper alpha-amylase slope pre-intervention. DiscussionThe results indicate that changes in depressive symptoms did not correspond to changes of the biological stress systems, contradicting the suggested normalization of dysregulated hypothalamic-pituitary-adrenal axis or autonomic nervous system activity through a psychotherapeutic intervention. However, the results point to a potential role of pre-intervention alpha-amylase slope as a prescriptive marker of treatment response for depression.

Sequencing effects of behavioral activation and cognitive restructuring in an Internet-based intervention for depressed adults are negligible: Results from a randomized controlled trial.

Applying elements of cognitive behavioral therapy (CBT) in internet-based interventions (IBIs) is effective in treating depression. However, CBT-based IBIs differ in which kind of components are applied and the order of their application. Furthermore, it is as yet unknown whether such sequencing matters. Using an IBI for depression, we examined whether the sequence of two major CBT components, behavioral activation (BA) and cognitive restructuring (CR), affect patterns of symptom changes and dropout rates. Individuals with moderate to mild depressive symptoms (N = 2,304, 59% female) were randomly assigned to two groups: one group that received BA in Modules 2 and 3 and CR in Modules 4 and 5, and another group with the opposite sequence. The component contents were identical. We investigated group differences in dropout rates, symptom changes, and change trajectories across the intervention. The groups had similar dropout rates and showed similar changes pre- to postassessment, and from pre- to 3-, 6-, and 12-month follow-up assessments. Between-group differences were small enough to be considered equivalent. Three classes of change trajectories emerged in both groups, but they did not differ in shape or size and did not show diverging associations with person-level characteristics. Results suggest that the sequence of the CBT components BA and CR in IBIs for depression does, on average, not systematically impact how individuals change during and after participation, which provides flexibility in designing CBT-based interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Negative effects in internet-based interventions for depression: A qualitative content analysis

An increasing number of studies is proving the efficacy of Internet-based interventions (IBI) for treating depression. While the focus of most studies is thereby lying on the potential of IBI to alleviate emotional distress and enhance well-being, few studies are investigating possible negative effects that might be encountered by participants. The current study was therefore exploring self-reported negative effects of participants undergoing a cognitive-behavioral IBI targeting mild to moderate depression over 6 weeks. Data from the client pool of a German insurance company (n = 814, 68% female) revealed that 8.6% of the participants reported the experience of negative effects. Qualitative content analysis yielded two broad categories and five subcategories for the nature of participants' experiences of negative effects: participant-related negative effects (insight and symptom) and program-related negative effects (online format, contact, and implementation). By using both, qualitative and quantitative methods, results did not only shed light on the characteristics of negative effects but analyses also found that working alliance was a predictor for the experience of negative effects. Monitoring the occurrences of negative effects as well as working alliance throughout treatment was considered essential to help prevent negative effects and attrition among participants undergoing IBI for depression.

Intervention Use and Symptom Change With Unguided Internet-Based Cognitive Behavioral Therapy for Depression During the COVID-19 Pandemic: Log Data Analysis of a Convenience Sample.

BackgroundInternet- and mobile-based interventions are most efficacious in the treatment of depression when they involve some form of guidance, but providing guidance requires resources such as trained personnel, who might not always be available (eg, during lockdowns to contain the COVID-19 pandemic).ObjectiveThe current analysis focuses on changes in symptoms of depression in a guided sample of patients with depression who registered for an internet-based intervention, the iFightDepression tool, as well as the extent of intervention use, compared to an unguided sample. The objective is to further understand the effects of guidance and adherence on the intervention’s potential to induce symptom change.MethodsLog data from two convenience samples in German routine care were used to assess symptom change after 6-9 weeks of intervention as well as minimal dose (finishing at least two workshops). A linear regression model with changes in Patient Health Questionnaire (PHQ-9) score as a dependent variable and guidance and minimal dose as well as their interaction as independent variables was specified.ResultsData from 1423 people with symptoms of depression (n=940 unguided, 66.1%) were included in the current analysis. In the linear regression model predicting symptom change, a significant interaction of guidance and minimal dose revealed a specifically greater improvement for patients who received guidance and also worked with the intervention content (β=–1.75, t=–2.37, P=.02), while there was little difference in symptom change due to guidance in the group that did not use the intervention. In this model, the main effect of guidance was only marginally significant (β=–.53, t=–1.78, P=.08).ConclusionsGuidance in internet-based interventions for depression is not only an important factor to facilitate adherence, but also seems to further improve results for patients adhering to the intervention compared to those who do the same but without guidance.

Who seeks Internet-based interventions for depression in Brazil?

Abstract Specific psychological treatments for depressive disorders delivered on the Internet have shown effectiveness and presented advantages over face-to-face treatments (potentially less expensive, flexible schedules, available in remote areas). This paper aims to describe the characteristics of those who sought help from an online self-guided intervention for depression and to explore hypotheses about predictors of enrollment to the program. Based on a sample of 282 of individuals who filled in screening questionnaires, we verified that the respondents were mainly female, were on average 34.36 years old, were primarily recruited through Facebook, had been previously diagnosed by mental health professionals, presented moderate self-efficacy perception, and had moderately severe symptoms of depression. Respondents who reported comorbid conditions were more likely to attend enrollment interviews, and being in treatment or not did not influence attendance. Such characterization may provide strategies to reach more people and to optimize the design of interventions targeting help-seeking depressed individuals in Brazil.

Factors contributing to symptom change in standardized and individualized Internet-based interventions for depression: A randomized-controlled trial.

Research suggests 4 categories of outcome predictors in face-to-face therapy (i.e., treatment expectations, extratherapeutic factors, relationship factors, and factors specific to a treatment approach/technique). However, it is unclear whether these factors are relevant in standardized and individualized Internet-based interventions. To investigate this question, a secondary analysis of data from 1,089 mildly to moderately depressed adults undergoing 6 weeks of cognitive-behavioral Internet-based intervention for depression randomized to receive either weekly written feedback individualized by a counselor or automated and fully standardized feedback was performed. The following variables corresponding to the 4 categories were tested regarding associations with depressive symptom change during multiple treatment periods within a multigroup structural equation model: (a) outcome expectations, (b) extratherapeutic stressors and stress change during treatment, (c) midtreatment working alliance (task/goal and bond), and (d) uptake of treatment-specific components (logins and specific tool use). Results suggest similar regressive associations across treatment conditions: Previous symptom change was the most important predictor for subsequent symptom developments. Stress at baseline and the uptake of specific treatment components only played a minor role, and stronger task/goal ratings were associated with later symptom improvements. Early symptom improvements predicted stronger midtreatment task/goal and bond ratings, whereas only stronger task/goal ratings were associated with later symptom improvements. Outcome expectations were only indirectly related with symptom change mediated through goal/task ratings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis

BackgroundThe System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measuring usability of iCBT for depression in a sample of professionals. In addition, the psychometric properties (reliability, convergent validity) of the SUS were tested.MethodsA sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS. Confirmatory Factor Analysis (CFA) was conducted to test whether a one-factor, two-factor, tone-model or bi-direct model would fit the data best. Reliability was assessed using complementary statistical indices (e.g. omega). To assess convergent validity, the SUS total score was correlated with an adapted Client Satisfaction Questionnaire (CSQ-3).ResultsCFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation = 0.055, Standardized Root Mean Square Residual = 0.042 (respectively χ2diff (9) = 69.82, p < 0.001; χ2diff (8) = 33.04, p < 0.001). Reliability of the SUS was good (ω = 0.91). The total SUS score correlated moderately with the CSQ-3 (CSQ1 rs = .49, p < 0.001; CSQ2 rs = .46, p < 0.001; CSQ3 rs = .38, p < 0.001), indicating convergent validity.ConclusionsAlthough the SUS seems to have a multidimensional structure, the best model showed that the total sumscore of the SUS appears to be a valid and interpretable measure to assess the usability of internet-based interventions when used by professionals in mental healthcare.

Supplemental Material for Factors Contributing to Symptom Change in Standardized and Individualized Internet-Based Interventions for Depression: A Randomized-Controlled Trial

Supplemental Material for Factors Contributing to Symptom Change in Standardized and Individualized Internet-Based Interventions for Depression: A Randomized-Controlled Trial

Why Uptake of Blended Internet-Based Interventions for Depression Is Challenging: A Qualitative Study on Therapists' Perspectives.

(1) Background: Blended cognitive behavioral therapy (bCBT; online and face-to-face sessions) seems a promising alternative alongside regular face-to-face CBT depression treatment in specialized mental health care organizations. Therapists are key in the uptake of bCBT. This study focuses on therapists’ perspectives on usability, satisfaction, and factors that promote or hinder the use of bCBT in routine practice; (2) Methods: Three focus groups (n = 8, n = 7, n = 6) and semi-structured in-depth interviews (n = 15) were held throughout the Netherlands. Beforehand, the participating therapists (n = 36) completed online questionnaires on usability and satisfaction. Interviews were analyzed by thematic analysis; (3) Results: Therapists found the usability sufficient and were generally satisfied with providing bCBT. The thematic analysis showed three main themes on promoting and hindering factors: (1) therapists’ needs regarding bCBT uptake, (2) therapists’ role in motivating patients for bCBT, and (3) therapists’ experiences with bCBT; (4) Conclusions: Overall, therapists were positive; bCBT can be offered by all CBT-trained therapists and future higher uptake is expected. Especially the pre-set structure of bCBT was found beneficial for both therapists and patients. Nevertheless, therapists did not experience promised time-savings—rather, the opposite. Besides, there are still teething problems and therapeutic shortcomings that need improvement in order to motivate therapists to use bCBT.

How individuals change during internet-based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback.

BackgroundStandardized and individualized Internet‐based interventions (IBI) for depression yield significant symptom improvements. However, change patterns during standardized or individualized IBI are unknown. Identifying subgroups that experience different symptom courses during IBI and their characteristics is vital for improving response.MethodsMildly to moderately depressed individuals according to self‐report (N = 1,089) were randomized to receive module‐wise feedback that was either standardized or individualized by a counselor within an otherwise identical cognitive‐behavioral IBI for depression (seven modules over six weeks). Depressive symptoms were assessed at baseline and before each module (Patient Health Questionnaire; PHQ‐9). Other individual characteristics (self‐report) and the presence of an affective disorder (structured clinical interview) were assessed at baseline. Growth mixture modeling was used to identify and compare subgroups with discernable change patterns and associated client variables across conditions.ResultsModel comparisons suggest equal change patterns in both conditions. Across conditions, a group of immediate (62.5%) and a group of delayed improvers (37.5%) were identified. Immediate improvers decreased their PHQ‐9 score by 5.5 points from pre to post, with 33% of improvement occurring before treatment commenced. Delayed improvers were characterized by stable symptom severity during the first two modules and smaller overall symptom decrease (3.4 points). Higher treatment expectations, a current major depressive disorder (interview), and lower social support were associated with delayed improvement.ConclusionInternet‐based interventions for depression with individualized and with standardized feedback lead to comparable patterns of change. Expectation management and bolstering of social support are promising strategies for individuals that are at risk for delayed improvement.

Internet-based Intervention for Depression among Schoolchildren

Internet-based Intervention for Depression among Schoolchildren

Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial

BackgroundInternet interventions can easily generate objective data about program usage. Increasingly, more studies explore the relationship between usage and outcomes, but they often report different metrics of use, and the findings are mixed. Thus, current evaluations fail to demonstrate which metrics should be considered and how these metrics are related to clinically meaningful change.ObjectiveThis study aimed to explore the relationship between several usage metrics and outcomes of an internet-based intervention for depression.MethodsThis is a secondary analysis of data from a randomized controlled trial that examined the efficacy of an internet-based cognitive behavioral therapy for depression (Space from Depression) in an adult community sample. All participants who enrolled in the intervention, regardless of meeting the inclusion criteria, were included in this study. Space from Depression is a 7-module supported intervention, delivered over a period of 8 weeks. Different usage metrics (ie, time spent, modules and activities completed, and percentage of program completion) were automatically collected by the platform, and composite variables from these (eg, activities per session) were computed. A breakdown of the usage metrics was obtained by weeks. For the analysis, the sample was divided into those who obtained a reliable change (RC)—and those who did not.ResultsData from 216 users who completed pre- and posttreatment outcomes were included in the analyses. A total of 89 participants obtained an RC, and 127 participants did not obtain an RC. Those in the RC group significantly spent more time, had more log-ins, used more tools, viewed a higher percentage of the program, and got more reviews from their supporter compared with those who did not obtain an RC. Differences between groups in usage were observed from the first week in advance across the different metrics, although they vanished over time. In the RC group, the usage was higher during the first 4 weeks, and then a significant decrease was observed. Our results showed that specific levels of platform usage, 7 hours total time spent, 15 sessions, 30 tools used, and 50% of program completion, were associated with RC.ConclusionsOverall, the results showed that those individuals who obtained an RC after the intervention had higher levels of exposure to the platform. The usage during the first half of the intervention was higher, and differences between groups were observed from the first week. This study also showed specific usage levels associated with outcomes that could be tested in controlled studies to inform the minimal usage to establish adherence. These results will help to better understand how to use internet-based interventions and what optimal level of engagement can most affect outcomes.Trial RegistrationISRCTN Registry ISRCTN03704676; http://www.isrctn.com/ISRCTN03704676International Registered Report Identifier (IRRID)RR2-10.1186/1471-244X-14-147

Exploring the Relationship Between the Acceptability of an Internet-Based Intervention for Depression in Primary Care and Clinical Outcomes: Secondary Analysis of a Randomized Controlled Trial.

Background: Depression is one of the most prevalent psychological disorders worldwide. Although psychotherapy for depression is effective, there are barriers to its implementation in primary care in Spain. The use of the Internet has been shown to be a feasible solution. However, the acceptability of Internet-based interventions has not been studied sufficiently. Objective: To assess the acceptability of an Internet-based intervention (IBI) for depression in primary care, and explore the relationship between expectations and satisfaction and the improvement in the clinical variables in primary care patients receiving this intervention. Furthermore, it offers data about the effects of some sociodemographic characteristics on these acceptability variables and analyzes whether the expectations are related to finalizing the intervention. Methods: Data were based on depressive patients who were participants in a randomized controlled trial. In the present study, we present the data from all the participants in the Internet intervention groups (N = 198). All the participants filled out the expectation and satisfaction scales (six-item scales regarding treatment logic, satisfaction, recommending, usefulness for other disorders, usefulness for the patient, and unpleasantness), the Beck Depression Inventory-II, and the secondary outcome measures: depression and anxiety impairment, and positive and negative affect. Results: Results showed that participants’ expectations and satisfaction with the program were both high and differences in expectations and satisfaction depended on some sociodemographic variables (age: older people have higher expectations; sex: women have greater satisfaction). A positive relationship between these variables and intervention efficacy was found: expectations related to “usefulness for the patient” were a statistically related predictor to the results on the BDI-II (Beta = 0.364), and the perception of how logical the treatment is (Beta = 0.528) was associated with change in the clinical variable. Furthermore, the higher the expectations, the higher the improvements exhibited by the patients in all measures evaluated during the ten intervention modules. High expectations were also directly related to finalizing the intervention. Conclusions: This is the first study in Spain to address this issue in the field of IBIs for depression in primary care. The IBI showed high acceptance related to the intervention’s efficacy and completion. Research on IBI acceptability could help to implement the treatment offered.Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT01611818.

Identifying change-dropout patterns during an Internet-based intervention for depression by applying the Muthen-Roy model

ABSTRACTTo date, only few studies have attempted to investigate non-ignorable dropout during Internet-based interventions by applying an NMAR model, which includes missing data indicators in its equations. Here, the Muthen-Roy model was used to investigate change and dropout patterns in a sample of patients with mild-to-moderate depression symptoms (N = 483) who were randomized to a 12-week Internet-based intervention (deprexis, identifier: NCT01636752). Participants completed the PHQ-9 biweekly during the treatment. We identified four change-dropout patterns: Participants showing high impairment, improvement and low dropout probability (C3, N = 134) had the highest rate of reliable change at 6- and 12-month follow-up. A further pattern was characterized by high impairment, deterioration and high dropout probability (C2, N = 32), another by low impairment, improvement and high dropout probability (C1, N = 198). The last pattern was characterized by high impairment, no change and low dropout probability (C4, N = 119). In addition to deterioration, also rapid improvement may lead to dropout as a result of a perceived “good enough” dosage of treatment. This knowledge may strengthen sensitivity for the mechanisms of dropout and help to consider its meaning in efforts to optimize treatment selection.

A self-guided Internet-based intervention for individuals with gambling problems: study protocol for a randomized controlled trial

BackgroundOnly a small fraction of individuals with pathological or problematic gambling seek professional help despite available evidence-based treatments such as cognitive behavioral therapy (CBT). Anonymous Internet-based interventions may help to overcome treatment barriers. Results of a pilot study using an Internet-based intervention for depression in a sample of individuals with problematic or pathological gambling behavior show that both depressive and gambling-related symptomatology can be reduced with a generic depression program compared with a wait-list control group. Based on encouraging results of the pilot study, we developed a low-threshold, anonymous and cost-free online self-help program (“Restart”) to test whether a program tailored to the needs of gamblers yields better results compared to the effects of the intervention evaluated in the pilot study. The online self-help program is based on CBT, targeting emotional problems and gambling-related symptoms and is accompanied by a smartphone application to sustain treatment benefits.MethodA randomized controlled trial with two conditions (intervention group and wait-list control group), two assessment times (reassessment after 8 weeks) and a total of 136 participants is planned. The primary outcome will be change in pathological gambling measured with the Pathological Gambling Adaptation of Yale-Brown Obsessive-Compulsive Scale from pre to post intervention. The change in depressive symptoms (assessed with the Patient Health Questionnaire - 9 depression module) and gambling-related dysfunctional thoughts (assessed with the Gambling Attitudes and Beliefs Survey) will represent secondary outcomes. The intervention includes modules on debt management, impulse control, gambling-specific cognitive biases, self-esteem, social competence, sleep hygiene, mindfulness and positive activities.DiscussionThis study is one of the first investigations of Internet-based self-help programs in a sample of problematic gamblers. Self-guided Internet-based interventions represent a promising possibility to narrow the existing treatment gap while saving expensive and scarce resources (e.g., psychotherapists). The expected findings will add substantial knowledge in the development of effective Internet-based treatments for individuals with gambling problems. The empirical and clinical implications (e.g., broader use and promotion of such interventions in the future) and the limitations of the study will be discussed.Trial registrationClinicalTrials.gov, NCT03372226. Registered on 13 December 2017.

Internet-based behavioural activation with lay counsellor support versus online minimal psychoeducation without support for treatment of depression: a randomised controlled trial in Indonesia

Depression is one of the leading contributors to the global burden of disease. However, treatment availability is often very poor in low-income and middle-income countries. In a randomised clinical trial, we investigated the efficacy of internet-based behavioural activation with lay counsellor support compared with online minimal psychoeducation without support for depression in Indonesia (a middle-income country). We did a community-based, two-group, randomised controlled trial in Indonesia. Eligible participants were aged 16 years or older, scored 10 or above on the Patient Health Questionnaire 9 (PHQ-9), met the criteria for major depressive disorder or persistent depressive disorder based on the Structured Clinical Interview for DSM-5, were proficient in Bahasa Indonesia, and could use the internet. Participants were randomly allocated (1:1) by a research assistant using a web-based randomisation program to online behavioural activation with lay support (termed Guided Act and Feel Indonesia [GAF-ID]) or online psychoeducation without further support. Randomisation was done within a random permuted block design and was stratified by sex and depression severity (ie, PHQ-9 10-14 vs ≥15). The primary outcome was self-reported PHQ-9 score at 10 weeks from baseline. Research assistants were masked to group allocation until after the assessment of the primary outcome. Interventions were described to participants during the consent procedure and after randomisation, but no indication was given as to which was the intervention of interest and which was the control. Analysis was by intention to treat. The trial was registered in the Netherlands Trial Register, number NTR5920. It is closed to new particpants, and follow-up has been completed. Between Sept 6, 2016, and May 1, 2017, 313 participants were enrolled and randomly assigned, 159 to the GAF-ID group and 154 to the online psychoeducation group. At 10 weeks, PHQ-9 scores were significantly lower in the GAF-ID group than in the online psychoeducation group (mean difference -1·26 points [95% CI -2·29 to -0·23]; p=0·017), and participants in the GAF-ID group had a 50% higher chance of remission at 10 weeks (relative risk 1·50 [95% CI 1·19 to 1·88]; p<0·0001). An effect size of 0·24 for the GAF-ID group compared with the control group at 10 weeks was sustained over time (effect size 0·24 at 3 months, and 0·27 at 6 months). No adverse events were reported in either group. To our knowledge, ours is the first adequately powered randomised clinical trial of an internet-based intervention for depression in a low-income or middle-income country. Online behavioural activation with lay counsellor support efficaciously reduced symptoms of depression, and could help to bridge the mental health gap in low-income and middle-income countries. Indonesia Endowment Fund for Education, University of Groningen.

Acceptability of internet-based interventions for depression in Indonesia

BackgroundIn Indonesia, internet-based interventions may represent a promising strategy to reduce the mental health gap given that the level of internet usage in the country continues to increase. To check the acceptability of internet-based interventions, this study investigates factors that contribute to the use of internet-based interventions for depression in Indonesia. MethodThe survey was conducted online and had 904 participants recruited from specific social networks on mental health and general social media (Mean age = 27.07, 50.22% females). The three dependent variables were (1) behavioral intention to start using internet-based interventions for depression, (2) preference to use it as a substitute for regular treatments and (3) preference to use it to complement regular treatments. The predictor variables included sociodemographic characteristics, perceived mental health conditions, personal situational characteristics, personal innovativeness toward online services, and depression level. ResultsA large majority reported to be open to using internet-based interventions for depression (73.7%), as well as to use it as a substitution (73.3%) or as a complementary (73%) to regular treatments. Personal innovativeness toward online services was the strongest significant predictor for all types of use, even when corrected for current depression level. When added to the analyses separately, depression level was the second strongest predictive factor for all dependent variables. ConclusionThe majority of Indonesians showed openness to use internet-based interventions for depression. To increase the adoption of internet-based interventions for depression, it is important to first promote internet usage to more people across the country, especially for those who are currently depressed.

Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual-participant data meta-analysis.

BackgroundThere is limited evidence on the cost effectiveness of Internet‐based treatments for depression. The aim was to evaluate the cost effectiveness of guided Internet‐based interventions for depression compared to controls.MethodsIndividual–participant data from five randomized controlled trials (RCT), including 1,426 participants, were combined. Cost‐effectiveness analyses were conducted at 8 weeks, 6 months, and 12 months follow‐up.ResultsThe guided Internet‐based interventions were more costly than the controls, but not statistically significant (12 months mean difference = €406, 95% CI: − 611 to 1,444). The mean differences in clinical effects were not statistically significant (12 months mean difference = 1.75, 95% CI: − .09 to 3.60 in Center for Epidemiologic Studies Depression Scale [CES‐D] score, .06, 95% CI: − .02 to .13 in response rate, and .00, 95% CI: − .03 to .03 in quality‐adjusted life‐years [QALYs]). Cost‐effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost effective compared to control for CES‐D and response to treatment (e.g., at 12‐month follow‐up the probability of being cost effective was .95 at a ceiling ratio of 2,000 €/point of improvement in CES‐D score). For QALYs, the intervention's probability of being cost effective compared to control was low at the commonly accepted willingness‐to‐pay threshold (e.g., at 12‐month follow‐up the probability was .29 and. 31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively).ConclusionsBased on the present findings, guided Internet‐based interventions for depression are not considered cost effective compared to controls. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet‐based interventions also assessed cost effectiveness and were included in this individual–participant data meta‐analysis.