Literature Collection

Outpatient perinatal care providers (one certified nurse-midwife, one nurse practitioner, and one physician assistant) at a high-volume, suburban health system in southeastern Pennsylvania developed and implemented a care model to identify and care for patients at risk for perinatal and postpartum mental health conditions. The program, Women Adjusting to Various Emotional States (WAVES), was created to bring the most up-to-date, evidence-based treatment recommendations to patients while addressing the increased demand placed on the health care system by pregnant and postpartum patients in need of psychiatric services. WAVES is a specialized program offered for anyone who is pregnant or up to one year postpartum who is struggling with mental health symptoms or concerns. Perinatal mood and anxiety disorders have become one of the most prevalent pregnancy ailments, yet mental health is not always addressed during routine prenatal care visits. Common obstacles to patients obtaining mental health care during pregnancy include lack of access, clinician gaps in knowledge, and stigma surrounding diagnoses. WAVES offers a method to empower perinatal providers with the education and tools to address this need. The model outlines how to appropriately assess, diagnose, manage, or refer patients for mental health services. Patient feedback has been overwhelmingly positive, and this novel care model shows great promise for the future of perinatal care. The development of integrated programs like WAVES may be a valuable resource to help combat the perinatal mental health epidemic.

BACKGROUND: Around 1 in 7 people in India are impacted by mental illness. The treatment gap for people with mental disorders is as high as 75-95%. Health care systems, especially in rural regions in India, face substantial challenges to address these gaps in care, and innovative strategies are needed. METHODS: We hypothesise that an intervention involving an anti-stigma campaign and a mobile-technology-based electronic decision support system will result in reduced stigma and improved mental health for adults at high risk of common mental disorders. It will be implemented as a parallel-group cluster randomised, controlled trial in 44 primary health centre clusters servicing 133 villages in rural Andhra Pradesh and Haryana. Adults aged ≥ 18 years will be screened for depression, anxiety and suicide based on Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorders (GAD-7) scores. Two evaluation cohorts will be derived-a high-risk cohort with elevated PHQ-9, GAD-7 or suicide risk and a non-high-risk cohort comprising an equal number of people not at elevated risk based on these scores. Outcome analyses will be conducted blinded to intervention allocation. EXPECTED OUTCOMES: The primary study outcome is the difference in mean behaviour scores at 12 months in the combined 'high-risk' and 'non-high-risk' cohort and the mean difference in PHQ-9 scores at 12 months in the 'high-risk' cohort. Secondary outcomes include depression and anxiety remission rates in the high-risk cohort at 6 and 12 months, the proportion of high-risk individuals who have visited a doctor at least once in the previous 12 months, and change from baseline in mean stigma, mental health knowledge and attitude scores in the combined non-high-risk and high-risk cohort. Trial outcomes will be accompanied by detailed economic and process evaluations. SIGNIFICANCE: The findings are likely to inform policy on a low-cost scalable solution to destigmatise common mental disorders and reduce the treatment gap for under-served populations in low-and middle-income country settings. TRIAL REGISTRATION: Clinical Trial Registry India CTRI/2018/08/015355 . Registered on 16 August 2018.

BACKGROUND: In January 2020, the WHO declared the SARS-CoV-2 outbreak a public health emergency; by March 11, a pandemic was declared. To date in Ireland, over 3300 patients have been admitted to acute hospitals as a result of infection with COVID-19. AIMS: This article aims to describe the establishment of a COVID Recovery Service, a multidisciplinary service for comprehensive follow-up of patients with a hospital diagnosis of COVID-19 pneumonia. METHODS: A hybrid model of virtual and in-person clinics was established, supported by a multidisciplinary team consisting of respiratory, critical care, infectious diseases, psychiatry, and psychology services. This model identifies patients who need enhanced follow-up following COVID-19 pneumonia and aims to support patients with complications of COVID-19 and those who require integrated community care. RESULTS: We describe a post-COVID-19 service structure together with detailed protocols for multidisciplinary follow-up. One hundred seventy-four patients were discharged from Beaumont Hospital after COVID-19 pneumonia. Sixty-seven percent were male with a median age (IQR) of 66.5 (51-97). Twenty-two percent were admitted to the ICU for mechanical ventilation, 11% had non-invasive ventilation or high flow oxygen, and 67% did not have specialist respiratory support. Early data suggests that 48% of these patients will require medium to long-term specialist follow-up. CONCLUSIONS: We demonstrate the implementation of an integrated multidisciplinary approach to patients with COVID-19, identifying those with increased physical and mental healthcare needs. Our initial experience suggests that significant physical, psychological, and cognitive impairments may persist despite clinical resolution of the infection.