Suicide Behavior Among Indigenous and Non-Indigenous Living with HIV: A Cross-Sectional Study in Indonesia.

Suicide remains a major public health problem, with nearly 1 million deaths per year. The number tends to increase over time and factors leading to suicide suicidal behaviors are complex. However, there is a paucity of evidence on suicidal behaviors and the associated factors among people living with HIV (PLWH) in Indonesia. Therefore, this study aimed to estimate the prevalence and associated factors of suicidal behavior between indigenous and non-indigenous living with HIV who were on Dolutegravir and Efavirenz therapies. The cross-sectional data were collected using questionnaires. Participants completed the Suicidal Behaviors Questionnaire-Revised (SBQ-R), Depression Anxiety Stress Scale-42 (DASS-42), HIV Stigma-Sowell Scale, and demographic information questions. The outcome was low and high self-reported suicidal behaviors, while logistic regression analyses were used to estimate adjusted odds ratios (aOR) for associated factors of high suicidal behaviors. A total of 200 PLWH were enrolled and 8.5% of the participants had high levels of suicidal behaviors. The majority of participants were Efavirenz users (84.0%), and Papuans as Indigenous (75.5%). More than half had a high school education (60.5%), were female (58%), married (54%), and unpaid (59%). The multiple logistic regression model showed that indigenous (aOR = 0.122; 95% CI = 0.029-0.514), and people who had children (aOR = 0.221; 95% CI = 0.051-0.957) were more likely to have low suicidal behaviors. Participants who were aged 18-27 years (aOR = 5.894; 95% CI = 1.336-30.579), had high self-blame (aOR = 1.342; 95% CI) = 1.004-1.792), and detectable HIV viral load (aOR = 6.177; 95%CI = 1.118-34.119) had high suicidal behavior. This study identified the risk of suicidality among PLWHs is high and routine suicide assessment is prioritized. The findings are also useful for intervention design and the development of clinical practice guidelines to manage the well-being of PLWH such as using digital intervention to cope with hindrances.

Internet-based behavioural activation therapy versus online psychoeducation for self-reported suicidal ideation in individuals with depression in Indonesia: a secondary analysis of an RCT.

BACKGROUND: Southeast Asia has the highest suicide mortality worldwide. To improve our knowledge on the effectiveness of interventions for suicidal ideation (SI) in individuals with depression in Indonesia, we conducted a secondary analysis of a randomised controlled trial. OBJECTIVE: We explored whether an internet-based behavioural activation (BA) intervention ('Guided Act and Feel Indonesia' (GAF-ID)) was superior in targeting SI compared with online-delivered psychoeducation (PE). METHODS: In total, 313 participants were randomised between treatment allocation. The SI item of the Patient Health Questionnaire-9 was the primary outcome measure. Mediation analyses were conducted to identify if BA at week 10 mediated the relationship between intervention and SI at week 24. FINDINGS: The GAF-ID intervention was not superior in reducing SI compared with online minimal PE at week 10 (OR 0.61, 95% CI (0.37 to 1.01)), nor at week 24 (OR 0.84, 95% CI (0.47 to 1.52)). SI at week 24 was not mediated by BA at week 10 (b=-0.03, 95% CI (-0.05 to 0.00), p=0.07). CONCLUSIONS: In individuals with depression in Indonesia, the GAF-ID intervention was not superior in reducing self-reported SI compared with PE. Also, the association between treatment condition and SI at week 24 was not mediated via BA at week 10. CLINICAL IMPLICATIONS: This study supports the need for further research on the efficacy of psychological treatments targeting SI in the Southeast Asia context.

Explaining the Efficacy of an Internet-Based Behavioral Activation Intervention for Major Depression: A Mechanistic Study of a Randomized-Controlled Trial.

Background: Behavioral activation is an effective treatment for depression that is theorized to facilitate structured increases in enjoyable activities that increase opportunities for contact with positive reinforcement; to date, however, only few mechanistic studies focused on a standalone intervention. Method: Interventions using internet-based behavioral activation or psychoeducation were compared based on data from a randomized-controlled trial of 313 patients with major depressive disorder. Activation level and depression were measured fortnightly (baseline, Weeks 2, 4, 6, 8, 10), using the Patient Health Questionnaire-9 and the Behavioral Activation for Depression Scale-Short Form, respectively. Analysis was performed to determine if a change in activation level mediated treatment efficacy. Results: Latent growth modeling showed that internet-based behavioral activation treatment significantly reduced depressive symptoms from baseline to the end of treatment (standardized coefficient = -.13, p = .017) by increasing the rate of growth in the activation level (mediated effect estimate = -.17, 95% CI [-.27, -.07]. Results from mixed effects and simplex models showed that it took 4 weeks before mediation occurred (i.e., a significant change in activation that led to a reduction in depressive symptoms). Conclusion: Activation level likely mediated the therapeutic effect of behavioral activation on depression in our intervention. This finding may be of significant value to clinicians and depressed individuals who should anticipate a 4-week window before seeing a prominent change in activation level and a 6-week window before depressive symptomatology reduces. Future research must consolidate our findings on how behavioral activation works and when mediation occurs.

Effectiveness of digital psychological interventions for mental health problems in low-income and middle-income countries: a systematic review and meta-analysis.

BACKGROUND: The effectiveness of digital psychological interventions in low-income and middle-income countries (LMICs) remains unclear. We aimed to systematically investigate the available evidence for digital psychological interventions in reducing mental health problems in LMICs. METHODS: In this systematic review and meta-analysis, we searched PubMed, PsycINFO, Embase, and Cochrane databases for articles published in English from database inception to March 9, 2020. We included randomised controlled trials investigating digital psychological interventions in individuals with mental health problems in LMICs. We extracted data on demographics, inclusion and exclusion criteria, details of the intervention, including the setting, digital delivery method, control group conditions, number of sessions, therapeutic orientation (eg, cognitive therapy or behaviour therapy), presence or absence of guidance, and length of follow-up, and statistical information to calculate effect sizes. If a study reported insufficient data to calculate effect sizes, the corresponding authors were contacted to provide data that could be aggregated. We did random-effects meta-analyses, and calculated the standardised mean difference in scores of digital psychological interventions versus control conditions (Hedges'g). Quality of evidence was assessed by use of the Grading of Recommendations Assessment, Development, and Evaluation approach. The primary outcome was post-intervention mental health problems, as measured by self-reporting instruments or clinical interviews. This study is registered with PROSPERO, CRD42019137755. FINDINGS: We identified 22 eligible studies that were included in the meta-analysis. The included studies involved a total of 4104 participants (2351 who received a digital psychological intervention and 1753 who were in the control group), and mainly focused on young adults (mean age of the study population was 20-35 years) with depression or substance misuse. The results showed that digital psychological interventions are moderately effective when compared with control interventions (Hedges'g 0·60 [95% CI 0·45-0·75]; Hedges'g with treatment as usual subgroup for comparison 0·54 [0·35-0·73]). Heterogeneity between studies was substantial (I2=74% [95% CI 60-83]). There was no evidence of publication bias, and the quality of evidence according to the GRADE criteria was generally high. INTERPRETATION: Digital psychological interventions, which have been mostly studied in individuals with depression and substance misuse, are superior to control conditions, including usual care, and are moderately effective in LMICs. However, the considerable heterogeneity observed in our analysis highlights the need for more studies to be done, with standardised implementation of digital psychological intervention programmes to improve their reproducibility and efficiency. Digital psychological interventions should be considered for regions where usual care for mental health problems is minimal or absent. FUNDING: None. TRANSLATIONS: For the Persian, Chinese, Hindi, Portuguese, Bahasa, Turkish, Romanian, Spanish and Thai translations of the abstract see Supplementary Materials section.

Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia.

Depression is the leading cause of disability worldwide, but an alarming treatment gap exists, especially in lower- and middle income countries (LMIC), where people are exposed to many societal and sociodemographic risk factors. As internet access increases in LMIC, online interventions could decrease this gap, especially when shown suitable for all demographics, including vulnerable groups with low socioeconomic status (SES). We used mixed-model analysis to explore moderating effects of sociodemographic factors (age, sex, education level, SES and urbanicity) on treatment effect in a recent trial in Indonesia, comparing guided online behavioral activation versus online psychoeducation only for depression, in 313 participants from (sub)urban areas. Outcome measures were self-reported Patient Health Questionnaire 9 (PHQ-9) and Inventory of Depressive Symptomatology (IDS-SR). Without correction for multiple testing, we found urbanicity to moderate treatment effect, with stronger treatment effect in suburban relative to urban participants (IDS-SR 24 weeks past baseline, p = 0.04) and a trend towards moderation by SES, with stronger treatment effect in low SES groups (PHQ-9 10 weeks past baseline, p = 0.07). These exploratory results suggest online treatments are a promising mental health intervention for all demographics in a (sub)urban LMIC setting, but hypothesis-testing studies including rural participants are warranted.

Q&A: Scaling up delivery of mental health treatments in low and middle income countries: interviews with Retha Arjadi and Vikram Patel.

In this Q&A, we talk with Retha Arjadi and Vikram Patel about using new technologies and lay-counselor support for scalable delivery of mental health treatment in low and middle-income countries.

Acceptability of internet-based interventions for depression in Indonesia.

BACKGROUND: In 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. METHOD: The 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. RESULTS: A 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. CONCLUSION: The 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.

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

BACKGROUND: 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). METHODS: 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. FINDINGS: 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. INTERPRETATION: 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. FUNDING: Indonesia Endowment Fund for Education, University of Groningen.

The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric properties of the Indonesian version.

BACKGROUND: Depression screening and examination in Indonesia are highly challenging due to the disproportionately low number of mental health professionals in comparison to the Indonesian population. Self-report questionnaires on depression are cost-effective and time-efficient. The current study investigates the psychometric properties of the Indonesian Inventory of Depressive Symptomatology Self Report (IDS-SR). METHODS: The participants were 904 Indonesians (aged 16-61; 50.2% female), recruited via an online survey using Qualtrics. Confirmatory factor analysis of the one-factor, three-factor, and four-factor model were explored. Convergent and divergent validity of the total score of the Indonesian IDS-SR and each factor were examined, as well as the Cronbach's Alpha reliability. In addition, an optimal cut-off score for the Indonesian IDS-SR was established using ROC curve analysis. RESULTS: The three-factor model of "cognitive/mood", "anxiety/arousal", and "sleep disturbance" was the best fit with the Indonesian IDS-SR data. Convergent and divergent validity were good. Cronbach's Alpha reliability was excellent for the total score, good for the factors "cognitive/mood" and "anxiety/arousal", but insufficient for the factor "sleep disturbance". The optimal cut-off score of the Indonesian IDS-SR was 14, with 87% sensitivity and 86% specificity. CONCLUSIONS: As a multifactorial instrument to measure depression that has good validity and reliability, the Indonesian IDS-SR can be used to assess depressive symptoms for the purpose of research and clinical practice. The optimal cut-off score of the Indonesian IDS-SR is in accordance with the internationally used cut-off score.

Guided Act and Feel Indonesia (GAF-ID) - Internet-based behavioral activation intervention for depression in Indonesia: study protocol for a randomized controlled trial.

BACKGROUND: Depression is a leading cause of disease burden across the world. However, in low-middle income countries (LMICs), access to mental health services is severely limited because of the insufficient number of mental health professionals available. The WHO initiated the Mental Health Gap Action Program (mhGAP) aiming to provide a coherent strategy for closing the gap between what is urgently needed and what is available in LMICs. Internet-based treatment is a promising strategy that can be made available to a large number of people now that Internet access is increasing rapidly throughout the world. The present study will investigate whether such an Internet-based treatment for depression is effective in Indonesia. METHODS: An Internet-based behavioral activation treatment, with support by lay counselors who will provide online feedback on the assignments and supportive phone contact to encourage participants to work in the program (Guided Act and Feel Indonesia/GAF-ID), is compared to an online-delivered minimal psychoeducation without any support (psychoeducation/PE). Initial assessment for inclusion is based on a Patient Health Questionnaire-9 (PHQ-9) score of at least 10 and meeting criteria for major depressive disorder or persistent depressive disorder as assessed using the Structured Clinical Interview for DSM-5 (SCID-5). Participants with depression (N = 312) will be recruited and randomly assigned to GAF-ID or PE. Overall assessments will be done at baseline, post intervention (10 weeks from baseline) and follow-ups (3 months and 6 months from baseline). The primary outcome is the reduction of depression symptoms as measured by the PHQ-9 after 10 weeks from baseline. DISCUSSION: To our knowledge, this is the first study in Indonesia that examines the effectiveness of an Internet-based intervention for depression in a randomized controlled trial. The hope is that it can serve as a starting point for bridging the mental health gap in Indonesia and other LMICs. TRIAL REGISTRATION: Nederlands Trial Register ( www.trialregister.nl ): NTR5920 , registered on 1 July 2016.

From loss to loneliness: The relationship between bereavement and depressive symptoms.

Spousal bereavement can cause a rise in depressive symptoms. This study empirically evaluates 2 competing explanations concerning how this causal effect is brought about: (a) a traditional latent variable explanation, in which loss triggers depression which then leads to symptoms; and (b) a novel network explanation, in which bereavement directly affects particular depression symptoms which then activate other symptoms. We used data from the Changing Lives of Older Couples (CLOC) study and compared depressive symptomatology, assessed via the 11-item Center for Epidemiologic Studies Depression Scale (CES-D), among those who lost their partner (N = 241) with a still-married control group (N = 274). We modeled the effect of partner loss on depressive symptoms either as an indirect effect through a latent variable, or as a direct effect in a network constructed through a causal search algorithm. Compared to the control group, widow(er)s' scores were significantly higher for symptoms of loneliness, sadness, depressed mood, and appetite loss, and significantly lower for happiness and enjoyed life. The effect of partner loss on these symptoms was not mediated by a latent variable. The network model indicated that bereavement mainly affected loneliness, which in turn activated other depressive symptoms. The direct effects of spousal loss on particular symptoms are inconsistent with the predictions of latent variable models, but can be explained from a network perspective. The findings support a growing body of literature showing that specific adverse life events differentially affect depressive symptomatology, and suggest that future studies should examine interventions that directly target such symptoms.

Preliminary study on the effectiveness of short group cognitive behavioral therapy (GCBT) on Indonesian older adults.

This research aims to develop evidence based affordable psychological therapy for Indonesian older adults. An affordable psychological therapy is important as there is virtually no managed care or health insurance that covers psychological therapy in Indonesia. Multicomponent group cognitive behavior therapy (GCBGT) was chosen as a starting point due to its extensive evidence, short sessions, and success for a wide range of psychological problems. The group format was chosen to address both the economic and the cultural context of Indonesia. Then, the developed treatment is tested to common psychological problems in older adults' population (anxiety, chronic pain, depression, and insomnia). The treatment consists of 8 sessions with twice a week meetings for 2.5 hours. There are similarities and differences among the techniques used in the treatment for the different psychological problems. The final participants are 38 older adults that are divided into the treatment groups; 8 participants joined the anxiety treatment, 10 participants for the chronic pain treatment, 10 participants for depression treatment, and lastly, 10 participants joined the insomnia treatment. The research design is pre-test post-test with within group analysis. We used principal outcome measure that is specific for each treatment group, as well as additional outcome measures. Overall, the result shows statistical significance change with large effect size for the principal outcome measure. In addition, the result for the additional measures varies from slight improvement with small effect size to statistically significant improvement with large effect size. The result indicates that short multicomponent GCBT is effective in alleviating various common psychological problems in Indonesian older adults. Therefore, multicomponent GCBT may be a good starting point to develop an effective and affordable psychological therapy for Indonesian older adults. Lastly, this result adds to the accumulating body of evidence on the effectiveness of multicomponent GCBT outside western context.