The ‘PRemIum for aDolEscents’ (PRIDE) project has developed a school-based, transdiagnostic stepped care programme for common adolescent mental health problems in India. The programme comprises a brief problem-solving intervention (‘Step 1’) followed by a personalised cognitive-behavioural intervention (‘Step 2’) for participants who do not respond to the first step.

A mixed-method design was used to evaluate the acceptability and feasibility of the stepped care programme in five schools in New Delhi. Participants were N = 80 adolescents (mean age = 15.3 years, females = 55%) with elevated mental symptoms and associated distress/impairment.

61 (76%) of the enrolled sample were assessed following Step 1, from which 33 (54%) met non-remission criteria. Among these 33 non-remitted cases, 12 (36%) opted for Step 2 and five (42%) completed the full programme. The remaining non-remitted cases (n = 21, 64%) opted out of further treatment. Perceived resolution of the primary problem (n = 9, 43%) was the most common reason for opting out. The median time to complete each step was 22 and 70 days respectively, with a gap of 31 days between steps. Qualitative feedback from adolescents and counsellors indicated requirements for a shorter delivery schedule, greater continuity across steps and more collaborative decision-making.

This study provides preliminary evidence for a stepped care programme aimed at common adolescent mental health problems. Modifications are recommended to enhance the acceptability and feasibility of the programme in low-resource settings.

Predicting and preventing relapse presents a crucial opportunity and first step to improve outcomes and reduce the care gap for persons living with schizophrenia. Using commercially available smartphones and smartwatches, technology now affords opportunities to capture real-time and longitudinal profiles of patients’ symptoms, cognition, physiology and social patterns. This novel data makes it possible to explore relationships between behaviours, physiology and symptoms, which may yield personalised relapse signals.

Smartphone Health Assessment for Relapse Prevention (SHARP), an international mental health research study supported by the Wellcome Trust, will inform the development of a scalable and sharable digital health solution to monitor personal risk of relapse. The resulting technology will be studied toward predicting and preventing relapse among individuals diagnosed with serious mental illness.

SHARP is a two-phase study with research sites in Boston, Massachusetts, and Bangalore and Bhopal, India. During phase 1, focus groups will be conducted at each study site to collect feedback on the design and features available on mindLAMP, a digital health platform. Individuals with serious mental illness will use mindLAMP for the duration of a year during phase 2.

The results of the research outlined in this protocol will guide the development of technology and digital tools to help address pervasive challenges in global mental health.

The digital tools developed as a result of this study, and participants’ experiences using them, may offer insight into opportunities to expand digital mental health resources and optimize their utilisation around the world.

Despite significant advancements in healthcare technology, digital health solutions – especially those for serious mental illnesses – continue to fall short of their potential across both clinical practice and efficacy. The utility and impact of medicine, including digital medicine, hinges on relationships, trust, and engagement, particularly in the field of mental health. This paper details results from Phase 1 of a two-part study that seeks to engage people with schizophrenia, their family members, and clinicians in co-designing a digital mental health platform for use across different cultures and contexts in the United States and India.

Each site interviewed a mix of clinicians, patients, and their family members in focus groups (n = 20) of two to six participants. Open-ended questions and discussions inquired about their own smartphone use and, after a demonstration of the mindLAMP platform, specific feedback on the app's utility, design, and functionality.

Our results based on thematic analysis indicate three common themes: increased use and interest in technology during coronavirus disease 2019 (COVID-19), concerns over how data are used and shared, and a desire for concurrent human interaction to support app engagement.

People with schizophrenia, their family members, and clinicians are open to integrating technology into treatment to better understand their condition and help inform treatment. However, app engagement is dependent on technology that is complementary – not substitutive – of therapeutic care from a clinician.

There is a global drive to improve access to mental healthcare by scaling up integrated mental health into primary healthcare (PHC) systems in low- and middle-income countries (LMICs).

To investigate systems-level implications of efforts to scale-up integrated mental healthcare into PHC in districts in six LMICs.

Semi-structured interviews were conducted with 121 managers and service providers. Transcribed interviews were analysed using framework analysis guided by the Consolidated Framework for Implementation Research and World Health Organization basic building blocks.

Ensuring that interventions are synergistic with existing health system features and strengthening of the healthcare system building blocks to support integrated chronic care and task-sharing were identified as aiding integration efforts. The latter includes (a) strengthening governance to include technical support for integration efforts as well as multisectoral collaborations; (b) ring-fencing mental health budgets at district level; (c) a critical mass of mental health specialists to support task-sharing; (d) including key mental health indicators in the health information system; (e) psychotropic medication included on free essential drug lists and (f) enabling collaborative and community- oriented PHC-service delivery platforms and continuous quality improvement to aid service delivery challenges in implementation.

Scaling up integrated mental healthcare in PHC in LMICs is more complex than training general healthcare providers. Leveraging existing health system processes that are synergistic with chronic care services and strengthening healthcare system building blocks to provide a more enabling context for integration are important.

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Low-intensity psychosocial interventions have been effective in targeting perinatal depression, but relevant mechanisms of change remain unknown.

To examine three theoretically informed mediators of the Thinking Healthy Programme Peer-delivered (THPP), an evidence-based psychosocial intervention for perinatal depression, on symptom severity in two parallel, randomised controlled trials in Goa, India and Rawalpindi, Pakistan.

Participants included pregnant women aged ≥18 years with moderate to severe depression, as defined by a Patient Health Questionnaire 9 (PHQ-9) score ≥10, and were randomised to either THPP or enhanced usual care. We examine whether three prespecified variables (patient activation, social support and mother–child attachment) at 3 months post-childbirth mediated the effects of THPP interventions of perinatal depressive symptom severity (PHQ-9) at the primary end-point of 6 months post-childbirth. We first examined individual mediation within each trial (n = 280 in India and n = 570 in Pakistan), followed by a pooled analysis across both trials (N = 850).

In both site-specific and pooled analyses, patient activation and support at 3 months independently mediated the intervention effects on depressive symptom severity at 6 months, accounting for 23.6 and 18.2% of the total effect of THPP, respectively. The intervention had no effect on mother–child attachment scores, thus there was no evidence that this factor mediated the intervention effect.

The effects of the psychosocial intervention on depression outcomes in mothers were mediated by the same two factors in both contexts, suggesting that such interventions seeking to alleviate perinatal depression should target both social support and patient activation levels.

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Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.

We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.

16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).

PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

Evidence shows benefits of psychological treatments in low-resource countries, yet few government health systems include psychological services.

Evaluating the clinical value of adding psychological treatments, delivered by community-based counsellors, to primary care-based mental health services for depression and alcohol use disorder (AUD), as recommended by the Mental Health Gap Action Programme (mhGAP).

Two randomised controlled trials, separately for depression and AUD, were carried out. Participants were randomly allocated (1:1) to mental healthcare delivered by mhGAP-trained primary care workers (psychoeducation and psychotropic medicines when indicated), or the same services plus individual psychological treatments (Healthy Activity Program for depression and Counselling for Alcohol Problems). Primary outcomes were symptom severity, measured using the Patient Health Questionnaire – 9 item (PHQ-9) for depression and the Alcohol Use Disorder Identification Test for AUD, and functional impairment, measured using the World Health Organization Disability Assessment Schedule (WHODAS), at 12 months post-enrolment.

Participants with depression in the intervention arm (n = 60) had greater reduction in PHQ-9 and WHODAS scores compared with participants in the control (n = 60) (PHQ-9: M = −5.90, 95% CI −7.55 to −4.25, β = −3.68, 95% CI −5.68 to −1.67, P < 0.001, Cohen's d = 0.66; WHODAS: M = −12.21, 95% CI −19.58 to −4.84, β = −10.74, 95% CI −19.96 to −1.53, P= 0.022, Cohen's d = 0.42). For the AUD trial, no significant effect was found when comparing control (n = 80) and intervention participants (n = 82).

Adding a psychological treatment delivered by community-based counsellors increases treatment effects for depression compared with only mhGAP-based services by primary health workers 12 months post-treatment.

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