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This paper systematically reviewed national COVID-19 vaccine deployment plans across 20 European countries. Multiple high-quality studies have shown odds ratios for comorbid severe mental illness, and schizophrenia in particular, to equal or even surpass those of other risk comorbidities included for prioritization. Evidence-based policy would then require severe mental illness to be included in the list of risk comorbidities. Yet several sources of bias may have caused the risks associated with severe mental illness to be overlooked by most countries. Mental disorders are often not included as predictors in COVID-19 outcome studies. Studies specifically investigating the risks of psychiatric comorbidity have not yet been summarized in systematic reviews or meta-analyses and were therefore ignored by some national strategies and mathematical models. In summary, European countries' vaccination strategies try to balance ethical and scientific evidence, but for individuals with severe mental illness an evidence policy disconnect remains. Most of these patients are treated in the community, and are currently overlooked by the majority of European COVID-19 vaccination strategies. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

Current mental health services across the world remain expert-centric and are based on traditional workflows, mostly using impractical and ineffective electronic record systems or even paper-based documentation. The international network for digital mental health (IDMHN) is comprised of top-level clinicians, regulatory and ICT experts, genetic scientists, and support organizations. The IDMHN has been formed to enable the implementation of digital innovations in clinical practice, hereby facilitating the transformation of current mental health services to be more personalized and more responsive to patients and healthcare needs. This consensus statement summarizes the consortium’s vision and strategy for further development of digital mental health.

The unpredictability and uncertainty of the COVID-19 pandemic; the associated lockdowns, physical distancing, and other containment strategies; and the resulting economic breakdown could increase the risk of mental health problems and exacerbate health inequalities. Preliminary findings suggest adverse mental health effects in previously healthy people and especially in people with pre-existing mental health disorders. Despite the heterogeneity of worldwide health systems, efforts have been made to adapt the delivery of mental health care to the demands of COVID-19. Mental health concerns have been addressed via the public mental health response and by adapting mental health services, mostly focusing on infection control, modifying access to diagnosis and treatment, ensuring continuity of care for mental health service users, and paying attention to new cases of mental ill health and populations at high risk of mental health problems. Sustainable adaptations of delivery systems for mental health care should be developed by experts, clinicians, and service users, and should be specifically designed to mitigate disparities in health-care provision. Thorough and continuous assessment of health and service-use outcomes in mental health clinical practice will be crucial for defining which practices should be further developed and which discontinued. For this Position Paper, an international group of clinicians, mental health experts, and users of mental health services has come together to reflect on the challenges for mental health that COVID-19 poses. The interconnectedness of the world made society vulnerable to this infection, but it also provides the infrastructure to address previous system failings by disseminating good practices that can result in sustained, efficient, and equitable delivery of mental health-care delivery. Thus, the COVID-19 pandemic could be an opportunity to improve mental health services. CM and CA are co-financed by the European Regional Development Fund; have received support from the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (SAM16PE07CP1, PI16/02012, PI17/02227, and PI19/024), the European Commission; CIBERSAM, the Madrid Regional Government (B2017/BMD-3740 AGES-CM-2), Fundación Familia Alonso, Fundación Alicia Koplowitz, and Fundación Mutua Madrileña; and have received European Union Structural Funds via the European Union Seventh Framework (FP7-4-HEALTH-2009-2.2.1-2-241909, FP7-HEALTH-2013-2.2.1-2-603196, and FP7-HEALTH-2013-2.2.1-2-602478) and the European Union H2020 programme under the Innovative Medicines Initiative 2 Joint Undertaking (115916 and 777394). TW acknowledges support from the National Institute for Health Research Maudsley Biomedical Research Centre at the South London and Maudsley NHS Foundation Trust and King’s College London (IS-BRC-1215-20018) and the National Institute for Health Research Senior Investigator Award (NF-SI-0514-10028). MRP acknowledges support from the National Natural Science Foundation of China (81371502 and 81761128031). EV acknowledges the support of the Spanish Ministry of Science and Innovation (PI15/00283 and PI18/00805), funding that was integrated into the Plan Nacional de I+D+I and co-financed by the ISCIII—Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional; the Instituto de Salud Carlos III; CIBERSAM; the Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement (2017 SGR 1365); the CERCA Programme; and the Departament de Salut de la Generalitat de Catalunya (PERIS grant SLT006/17/00357). MC is supported by a European Research Council Consolidator Award (iHear 724809). We acknowledge Giulia Maria Giordano (University of Campania “Luigi Vanvitelli”, Naples, Italy) and Pasquale Pezzella (University of Campania “Luigi Vanvitelli”, Naples, Italy).