Some trials have evaluated peer support for people with mental ill health in high-income, mainly English-speaking countries, but the quality of the evidence is weak.

To investigate the effectiveness of UPSIDES peer support in high-, middle- and low-income countries.

This pragmatic multicentre parallel-group wait-list randomised controlled trial (registration: ISRCTN26008944) with three measurement points (baseline and 4 and 8 months) took place at six study sites: two in Germany, and one each in Uganda, Tanzania, Israel and India. Participants were adults with long-standing severe mental health conditions. Outcomes were improvements in social inclusion (primary) and empowerment, hope, recovery, health and social functioning (secondary). Participants allocated to the intervention group were offered UPSIDES peer support.

Of the 615 participants (305 intervention group), 337 (54.8%) identified as women. The average age was 38.3 (s.d. = 11.2) years, and the mean illness duration was 14.9 (s.d. = 38.4) years. Those allocated to the intervention group received 6.9 (s.d. = 4.2) peer support sessions on average. Intention-to-treat analysis showed effects on two of the three subscales of the Social Inclusion Scale, Empowerment Scale and HOPE Scale. Per-protocol analysis with participants who had received three or more intervention sessions also showed an effect on the Social Inclusion Scale total score (β = 0.18, P = 0.031, 95% CI: 0.02–0.34).

Peer support has beneficial impacts on social inclusion, empowerment and hope among people with severe mental health conditions across diverse settings. As social isolation is a key driver of mental ill health, and empowerment and hope are both crucial for recovery, peer support can be recommended as an effective component of mental healthcare. Peer support has the potential to move global mental health closer towards a recovery- and rights-based orientation.

The aim of this study was to identify and prioritize strategies for strengthening public health system resilience for pandemics, disasters, and other emergencies using a scorecard approach.

The United Nations Public Health System Resilience Scorecard (Scorecard) was applied across 5 workshops in Slovenia, Turkey, and the United States of America. The workshops focused on participants reviewing and discussing 23 questions/indicators. A Likert type scale was used for scoring with zero being the lowest and 5 the highest. The workshop scores were analyzed and discussed by participants to prioritize areas of need and develop resilience strategies. Data from all workshops were aggregated, analyzed, and interpreted to develop priorities representative of participating locations.

Eight themes emerged representing the need for better integration of public health and disaster management systems. These include: assessing community disease burden; embedding long-term recovery groups in emergency systems; exploring mental health care needs; examining ecosystem risks; evaluating reserve funds; identifying what crisis communication strategies worked well; providing non-medical services; and reviewing resilience of existing facilities, alternate care sites, and institutions.

The Scorecard is an effective tool for establishing baseline resilience and prioritizing actions. The strategies identified reflect areas in most need for investment to improve public health system resilience.

Electroconvulsive therapy (ECT) is the most effective intervention for patients with treatment resistant depression. A clinical decision support tool could guide patient selection to improve the overall response rate and avoid ineffective treatments with adverse effects. Initial small-scale, monocenter studies indicate that both structural magnetic resonance imaging (sMRI) and functional MRI (fMRI) biomarkers may predict ECT outcome, but it is not known whether those results can generalize to data from other centers. The objective of this study was to develop and validate neuroimaging biomarkers for ECT outcome in a multicenter setting.

Multimodal data (i.e. clinical, sMRI and resting-state fMRI) were collected from seven centers of the Global ECT-MRI Research Collaboration (GEMRIC). We used data from 189 depressed patients to evaluate which data modalities or combinations thereof could provide the best predictions for treatment remission (HAM-D score ⩽7) using a support vector machine classifier.

Remission classification using a combination of gray matter volume and functional connectivity led to good performing models with average 0.82–0.83 area under the curve (AUC) when trained and tested on samples coming from the three largest centers (N = 109), and remained acceptable when validated using leave-one-site-out cross-validation (0.70–0.73 AUC).

These results show that multimodal neuroimaging data can be used to predict remission with ECT for individual patients across different treatment centers, despite significant variability in clinical characteristics across centers. Future development of a clinical decision support tool applying these biomarkers may be feasible.

Vulnerable populations were the most impacted by the COVID-19 pandemic. This included those with underlying health conditions, self-employed, low-income, people with limited access to health care, and the elderly. To capture these lessons and identify resilience actions, the Health Emergency and Disaster Risk Management (Health EDRM) Framework was used to guide the application of the Public Health System Resilience Scorecard (Scorecard).

This study was conducted in Australia, Bangladesh, Japan, Slovenia, Turkey, and the United States. Participants included emergency professionals, doctors, nurses, environmental health specialists, researchers, and government officials. The Scorecard was used to rank the level of preparedness from 0-5 (5 the highest) for the public health system resilience indicators. Following the individual workshops, recommendations were collated and interpreted to develop consolidated priority actions.

The priority actions related to surge capacity, mental health, ecosystems, societal needs, and high-risk populations. To address surge capacity issues, determining whether existing disaster structures have the capacity to provide support for hospitals during patient surges. This could include services that enable telehealth and primary health care to support hospitals during a crisis. Mental health services at the local government level should be evaluated and awareness of ecosystem risks in urban and rural areas needs to increase. Strategies for achieving reciprocal trust are required to enable uptake of public health information, and the extent at which pre-existing chronic health issues are likely to exacerbate needs to be understood and addressed.

This study revealed several areas for strengthening public health system resilience. Priority actions relate to addressing needs relating to surge capacity, mental health, ecosystems, societal needs, and high-risk populations. This serves as a framework for transforming public health systems to become more adaptive, flexible, and focused on enabling societies to function at the highest possible level when responding to a disaster or pandemics.