Background: There is evidence that the COVID-19 pandemic has negatively affected mental health, but most studies have been conducted in the general population.Aims: To identify factors associated with mental health during the COVID-19 pandemic in individuals with pre-existing mental illness.Method: Participants (N= 2869, 78% women, ages 18–94 years) from a UK cohort (the National Centre for Mental Health) with a history of mental illness completed a cross-sectional online survey in June to August 2020. Mental health assessments were the GAD-7 (anxiety), PHQ-9 (depression) and WHO-5 (well-being) questionnaires, and a self-report question on whether their mental health had changed during the pandemic. Regressions examined associations between mental health outcomes and hypothesised risk factors. Secondary analyses examined associations between specific mental health diagnoses and mental health.Results: A total of 60% of participants reported that mental health had worsened during the pandemic. Younger age, difficulty accessing mental health services, low income, income affected by COVID-19, worry about COVID-19, reduced sleep and increased alcohol/drug use were associated with increased depression and anxiety symptoms and reduced well-being. Feeling socially supported by friends/family/services was associated with better mental health and well-being. Participants with a history of anxiety, depression, post-traumatic stress disorder or eating disorder were more likely to report that mental health had worsened during the pandemic than individuals without a history of these diagnoses.Conclusions: We identified factors associated with worse mental health during the COVID-19 pandemic in individuals with pre-existing mental illness, in addition to specific groups potentially at elevated risk of poor mental health during the pandemic.

There is a determined campaign to make exploration of patients’ spiritual experience an intrinsic and necessary part of routine psychiatric care. This has support from the Royal College of Psychiatrists, though there has been no consultation with psychiatrists. Whilst many of the proposals are uncontroversial, some involve serious breaches of normal professional boundaries of behaviour as set out in General Medical Council guidance. The contentious proposals are that a spiritual history should be taken from all patients, even where they resist; that it is sometimes acceptable to pray with patients; and that clinicians should support “healthy” religious beliefs and challenge “unhealthy” ones. The proposals are based on a model of universal spirituality which, we argue, is culture bound and lacks neutrality. This paper explores these issues and the consequences that might flow from altering professional boundaries in psychiatry. We conclude that the changes are unnecessary and should be resisted.

Summary: Social prescribing is poorly defined and there is little evidence for its effectiveness. It cannot address the social determinants of mental health and it is unlikely to produce enduring change for that part of the population that suffers the worst physical and mental health, namely the most deprived and marginalised. It has emerged at a time of growing health inequity. This has occurred alongside the neglect of social care and of the social aspects of mental health intervention. Social prescribing gives a false impression of addressing social factors, and as such is counterproductive. We can do better than this.

Aims and method: To describe the clinical and demographic characteristics of all in-patients experiencing delayed discharge over 3 months in an English urban mental health National Health Service trust. We carried out a cross-sectional case record study with care coordinator questionnaire.Results: Overall, 67 in-patients with delayed discharge occupied 18.6% of acute beds. Older in-patients were White, diagnosed with dementia and experienced relatively short admissions. Younger in-patients were often of Black and minority ethnic background with a psychotic diagnosis and long service contact, and sometimes experienced very long admissions. They were similar to a long-stay comparison group. The whole cohort was socially isolated and marginalised, and frequently misused alcohol.Clinical implications: People with complex mental health problems can experience long stays in acute care settings. This particularly affects people with psychosis who are isolated in the community. Alcohol misuse is the most common complicating factor. There are insufficient community-oriented rehabilitation services to meet these patients' diverse needs.

Self-harm registers (SHRs) are an essential means of monitoring rates of self-harm and evaluating preventative interventions, but few SHRs exist in countries with the highest burden of suicides and self-harm. Current international guidance on establishing SHRs recommends data collection from emergency departments, but this does not adequately consider differences in the provision of emergency care globally. We aim to demonstrate that process mapping can be used prior to the implementation of an SHR to understand differing hospital systems. This information can be used to determine the method by which patients meeting the SHR inclusion criteria can be most reliably identified, and how to mitigate hospital processes that may introduce selection bias into these data. We illustrate this by sharing in detail the experiences from a government hospital and non-profit hospital in south India. We followed a five-phase process mapping approach developed for healthcare settings during 2019–2020. Emergency care provided in the government hospital was accessed through casualty department triage. The non-profit hospital had an emergency department. Both hospitals had open access outpatient departments. SHR inclusion criteria overlapped with conditions requiring Indian medicolegal registration. Medicolegal registers are the most likely single point to record patients meeting the SHR inclusion criteria from multiple emergency care areas in India (e.g., emergency department/casualty, outpatients, other hospital areas), but should be cross-checked against registers of presentations to the emergency department/casualty to capture less-sick patients and misclassified cases. Process mapping is an easily reproducible method that can be used prior to the implementation of an SHR to understand differing hospital systems. This information is pivotal to choosing which hospital record systems should be used for identifying patients and to proactively reduce bias in SHR data. The method is equally applicable in low-, middle- and high-income countries.

Burn registers provide important data that can track injury trends and evaluate services. Burn registers are concentrated in high-income countries, but most burn injuries occur in low- and middle-income countries where surveillance data are limited. Injury surveillance guidance recommends utilisation of existing routinely collected data where data quality is adequate, but there is a lack of guidance on how to achieve this. Our aim was to develop a rigorous and reproducible method to establish an electronic burn register from existing routinely collected data that can be implemented in low resource settings. Data quality of handwritten routinely collected records (register books) from a tertiary government hospital burn unit in Mysore, India was assessed prior to digitisation. Process mapping was conducted for burn patient presentations. Register and casualty records were compared to assess the case ascertainment rate. Register books from February 2016 to February 2022 were scanned and anonymised. Scans were quality checked and stored securely. An online data entry form was developed. All data underwent double verification. Process mapping suggested data were reliable, and case ascertainment was 95%. 1930 presentations were recorded in the registers, representing 0.84% of hospital all-cause admissions. 388 pages were scanned with 4.4% requiring rescanning due to quality problems. Two-step verification estimated there to be errors remaining in 0.06% of fields following data entry. We have described, using the example of a newly established electronic register in India, methods to assess the suitability and reliability of existing routinely collected data for surveillance purposes, to digitise handwritten data, and to quantify error during the digitisation process. The methods are likely to be of particular interest to burn units in countries with no active national burns register. We strongly recommend mobilisation of resources for digitisation of existing high quality routinely collected data as an important step towards developing burn surveillance systems in low resource settings.