New WHO prevalence estimates of mental disorders in conflict settings: a systematic review and meta-analysis.

BACKGROUND: Existing WHO estimates of the prevalence of mental disorders in emergency settings are more than a decade old and do not reflect modern methods to gather existing data and derive estimates. We sought to update WHO estimates for the prevalence of mental disorders in conflict-affected settings and calculate the burden per 1000 population. METHODS: In this systematic review and meta-analysis, we updated a previous systematic review by searching MEDLINE (PubMed), PsycINFO, and Embase for studies published between Jan 1, 2000, and Aug 9, 2017, on the prevalence of depression, anxiety disorder, post-traumatic stress disorder, bipolar disorder, and schizophrenia. We also searched the grey literature, such as government reports, conference proceedings, and dissertations, to source additional data, and we searched datasets from existing literature reviews of the global prevalence of depression and anxiety and reference lists from the studies that were identified. We applied the Guidelines for Accurate and Transparent Health Estimates Reporting and used Bayesian meta-regression techniques that adjust for predictors of mental disorders to calculate new point prevalence estimates with 95% uncertainty intervals (UIs) in settings that had experienced conflict less than 10 years previously. FINDINGS: We estimated that the prevalence of mental disorders (depression, anxiety, post-traumatic stress disorder, bipolar disorder, and schizophrenia) was 22·1% (95% UI 18·8-25·7) at any point in time in the conflict-affected populations assessed. The mean comorbidity-adjusted, age-standardised point prevalence was 13·0% (95% UI 10·3-16·2) for mild forms of depression, anxiety, and post-traumatic stress disorder and 4·0% (95% UI 2·9-5·5) for moderate forms. The mean comorbidity-adjusted, age-standardised point prevalence for severe disorders (schizophrenia, bipolar disorder, severe depression, severe anxiety, and severe post-traumatic stress disorder) was 5·1% (95% UI 4·0-6·5). As only two studies provided epidemiological data for psychosis in conflict-affected populations, existing Global Burden of Disease Study estimates for schizophrenia and bipolar disorder were applied in these estimates for conflict-affected populations. INTERPRETATION: The burden of mental disorders is high in conflict-affected populations. Given the large numbers of people in need and the humanitarian imperative to reduce suffering, there is an urgent need to implement scalable mental health interventions to address this burden. FUNDING: WHO; Queensland Department of Health, Australia; and Bill & Melinda Gates Foundation.

Mental Health Diagnostic Frameworks, Imputed Causes of Mental Illness, and Alternative Treatments in Northern Tanzania: Exploring Mental Health Providers' Perspectives.

In Tanzania, a nation with a large mental health treatment gap, local stakeholders' perspectives are critical for informing effective treatment. The practice-based perspectives of mental health providers may be particularly instructive. Existing foundational literature on the professional population in this region is scarce. We conducted semi-structured interviews with 29 mental health providers in northern Tanzania. Interviews focused on three topics: use of international diagnostic frameworks for mental illness, beliefs about causes of mental health concerns, and alternative treatments sought by clients. Interview data were coded and analyzed using consensual qualitative research and the constant comparative method. Usage of diagnostic frameworks varied widely. Providers believed frameworks accurately described many patients but neglected somatic symptoms and contained diagnoses that they had never witnessed. Providers described supernatural and spiritual attributions of mental illness as substantially impacting treatment decisions. Other notable attributions included physical illness, drug/alcohol use, and heredity. Providers reported their clients routinely sought treatment from traditional and spiritual healers prior to seeking care in the formal health system. This study builds a foundation for the ongoing development of the mental health system in northern Tanzania. Findings also support exploration of integrative models of care and task-shifting to incorporate traditional and spiritual beliefs.

Severe respiratory viral infections in children with history of asymptomatic or mild COVID-19.

IMPORTANCE: The spectrum of complications of COVID-19 in children, including the effect of COVID-19 on later viral infection, is not known. OBJECTIVE: To examine the features of children hospitalized for respiratory illness with history of prior COVID-19. DESIGN: Retrospective observational case series at a single pediatric quaternary medical center in New York City. Data were obtained from review of medical records. PARTICIPANTS: Children with prior mild or asymptomatic COVID-19 and no known risk factors for severe respiratory disease, who were hospitalized at our center for acute respiratory illness from October 2020 to May 2021, were reviewed. MAIN OUTCOMES AND MEASURES: Co-morbidities, history of prior COVID-19 symptoms, respiratory viral panel findings, acuity of illness, degree of respiratory decompensation based on support and interventions required, duration of hospitalization, and overall clinical course were assessed from the medical record. RESULTS: This study included 5 patients (median age, 4 years; age range: 0.8-9 years; 4 [80%] male). All had positive COVID-19 serology, 1 (20%) had mild symptoms, while the others had no symptoms of prior Sars-CoV-2 infection, 3 (60%) had asthma, and the remaining had no co-morbidities. All were admitted between April and May 2021. Two were re-admitted for respiratory symptoms in the subsequent 3 months. CONCLUSIONS AND RELEVANCE: This case series describes a possible association between severe lower respiratory tract infection and prior mild COVID-19 in children. Larger cohort studies describing the respiratory effects of prior COVID-19 in children are needed.

Strategies for responding to the COVID-19 pandemic in a rural health system in New York state.

Research and media reports about coronavirus disease 2019 (COVID-19) have largely focused on urban areas due to their high caseloads. However, the COVID-19 pandemic presents distinct and under-recognized challenges to rural areas. This report describes the challenges faced by Bassett Healthcare Network (BHN), a health network in rural upstate New York, and the strategies BHN devised in response. The response to COVID-19 at BHN focused on 4 strategies: (1) Expansion of intensive-care capacity. (2) Redeployment and retraining of workforce. (3) Provision of COVID-19 information, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral testing, and appropriate follow-up for a geographically dispersed population. (4) Coordination of the response to the pandemic across a large, diverse organization. Rural health systems and hospitals can take steps to address the specific challenges posed by the COVID-19 pandemic in their communities. We believe that the strategies BHN employed to adapt to COVID-19 may be useful to other rural health systems. More research is needed to determine which strategies have been most effective in responding to the pandemic in other rural settings.