New and emerging treatments for major depressive disorder.

Major depressive disorder (MDD) affects a substantial portion of the population; however, much is still unknown about the pathophysiology of this disorder. Treatment resistance highlights the heterogeneous nature of MDD and the need for treatments to target more than monoamine neurotransmission. This review summarizes research into the new and emerging targets of MDD. These include drugs such as psychedelics, antibiotics, opioid modulators, neuropeptides, and onabotulinumtoxin. Neuromodulatory treatments such as light based therapies and neuromodulation involving either magnetic or electrical stimulation are also discussed. Almost all interventions, pharmacological and neuromodulation, were trialed as adjunctive treatments to an antidepressant. Most research has been conducted on psychedelics, with trials suggesting rapid antidepressant and anti-suicidal effects. Trial findings, tolerability, study design limitations and quality of research have been considered throughout this review. There remains challenges in forming recommendations with the current research at present. With there being considerable interest into the research of new and emerging treatments-in particular, psychedelics-there may be scope in the future to form more robust recommendations.

Cohort profile: Mental Health Living Longer: a population-wide data linkage to understand and reduce premature mortality in mental health service users in New South Wales, Australia.

PURPOSE: Health systems must move from recognition to action if we are to address premature mortality in people with mental illness. Population data registers are an essential tool for planning and monitoring improvement efforts. The Mental Health Living Longer (MHLL) programme establishes a population-wide data linkage to support research translation and service reform in New South Wales (NSW), Australia. PARTICIPANTS: A total of 8.6 million people who have had contact with NSW public and private health services between July 2001 and June 2018 are currently included in the study. Data include more than 120 million linked records from NSW data collections covering public and private hospital care, emergency departments, ambulance, community mental health services, cancer notifications and care, and death registrations. Linkage is occurring with population-wide breast and cervical cancer screening programmes. Data will be updated 6 monthly. FINDINGS TO DATE: The cohort includes 970 145 people who have received mental healthcare: 79% have received community mental healthcare, 35% a general hospital admission with a primary mental health diagnosis and 25% have received specialist mental health inpatient care. The most frequent pattern of care is receipt of community mental healthcare only (50%). The median age of the mental health cohort is 34 years, and three-quarters are younger than 53 years. Eleven per cent of the mental health cohort had died during the observation period. Their median age at death was 69 years, which was younger than the median age at death for people accessing other health services. FUTURE PLANS: The MHLL programme will examine (i) all-cause mortality, (ii) suicide, (iii) cancer mortality and (iv) medical mortality. Within each theme, the programme will quantify the problem in mental health service users compared with the NSW population, describe the people most affected, describe the care received, identify predictors of premature mortality, and identify variation and opportunities for change.

Collaborative care: enough of the why; what about the how?

The clinical and cost-effectiveness of collaborative care for improving outcomes in people with mental and physical comorbidities is well established. However, translating these models into enduring change in routine care has proved difficult. In this editorial we outline how to shift the conversation on collaborative care from 'what are we supposed to do?' to 'how we can do this'.Declaration of interestP.P.R. has received honoraria from Publicis LifeBrands and the Institute for Healthcare Improvement outside of the submitted work. H.A.P. reports personal fees from the BIND Health Plan outside of the submitted work; and is a Member of the Council on Quality of Care of the American Psychiatric Association.

Measuring Efficiency at the Interface of Behavioral and Physical Health Care.

BACKGROUND: Measures of efficiency in healthcare delivery, particularly between different parts of the healthcare system could potentially improve health resource utilization. We use a typology adapted from the Agency for Healthcare Research and Quality to characterize current measures described in the literature by stakeholder perspective (payer, provider, patient, policy-maker), type of output (reduced utilization or improved outcomes) and input (physical, financial or both). AIMS OF THE STUDY: To systematically describe measures of healthcare efficiency at the interface of behavioral and physical healthcare and identify gaps in the literature base that could form the basis for further measure development. METHODS: We searched the Medline database for studies published in English in the last ten years with the terms 'efficiency', 'inefficiency', 'productivity', 'cost' or 'QALY' and 'mental' or 'behavioral' in the title or abstract. Studies on healthcare resource utilization, costs of care, or broader healthcare benefits to society, related to the provision of behavioral health care in physical health care settings or to people with physical health conditions or vice versa were included. RESULTS: 85 of 6,454 studies met inclusion criteria. These 85 studies described 126 measures of efficiency. 100 of these measured efficiency according to the perspective of the purchaser or provider, whilst 13 each considered efficiency from the perspective of society or the consumer. Most measures counted physical resources (such as numbers of therapy sessions) rather than the costs of these resources as inputs. Three times as many measures (95) considered service outputs as did quality outcomes (31). DISCUSSION: Measuring efficiency at the interface of behavioral and physical care is particularly difficult due to the number of relevant stakeholders involved, ambiguity over the definition of efficiency and the complexity of providing care for people with multimorbidity. Current measures at this interface concentrate on a limited range of outcomes. LIMITATIONS: We only searched one database and did not review the gray literature, nor solicit a call for relevant but unpublished work. We did not assess the methodological quality of the studies identified. IMPLICATION FOR HEALTH CARE PROVISION AND USE: Most measures of healthcare efficiency are currently viewed from the perspective of payers and providers, with very few studies addressing the benefits of healthcare to society or the individual interest of the consumer. One way this imbalance could be addressed is through much stronger involvement of consumers in measurement-development, for example, by an expansion in patient-reported outcome measures in assessing quality of care. IMPLICATIONS FOR HEALTH POLICIES: Integrating behavioral and physical care is a major area of implementation as health systems in high income countries move from volume to value based care delivery. Measuring efficiency at this interface has the potential to incentivize and also evaluate integration efforts. IMPLICATIONS FOR FURTHER RESEARCH: There has been only one previous systematic review of efficiency measurement and none at the interface of behavioral and physical care. We identify gaps in the evidence base for efficiency measurement which could inform further research and measurement development.

Integrating Behavioral Health and Primary Care Services for People with Serious Mental Illness: A Qualitative Systems Analysis of Integration in New York.

People with co-occurring behavioral and physical conditions receive poorer care through traditional health care services. One solution has been to integrate behavioral and physical care services. This study assesses efforts to integrate behavioral health and primary care services in New York. Semi-structured interviews were conducted with 52 professionals in either group or individual settings. We aimed to identify factors which facilitate or hinder integration for people with serious mental illness and how these factors inter-relate. Content analysis identified structural, process, organizational ("internal") and contextual ("external") themes that were relevant to integration of care. Network analysis delineated the interactions between these. We show that effective integration does not advance along a single continuum from minimally to fully integrated care but along several, parallel pathways reliant upon consequential factors that aid or hinder one another.

Bringing Recovery and Consumers' Views Into the Mainstream of Mental Health Quality Measurement.

Health policies in the United States and elsewhere are moving to increase accountability of health care systems and providers for providing high-quality, efficient care and driving application of evidence-based improvement strategies. To support these efforts, a "quality measurement industrial complex" has been created to develop, endorse, and apply quality measures that incentivize these behaviors. Parallel to this development in mental health care is an emerging commitment to include recovery orientation approaches in treating serious mental illness. However, consumers have been only tangentially involved in quality assessment and improvement strategies of the mental health services that they are receiving. This Open Forum aims to advance the conversation about how to integrate recovery into mental health care quality assessment cohesively and how to involve consumers in this process in a more meaningful way.

Carrots and Sticks on Opposite Sides of the Atlantic: Integration Incentives for People With Serious Mental Illness in England.

Integrating care pathways between primary and specialist mental health care is seen as integral to improving the health of people with mental illness. Multiple integration initiatives have been implemented, but few have tried to integrate care for people with serious mental illness. This column describes two such initiatives in the United States and in England. The two schemes are compared according to the population they target, payment mechanisms, accountability structures, service delivery, outcomes, and lessons learned.

Quality Measures at the Interface of Behavioral Health and Primary Care.

The development of quality measures has gained increasing attention as health care reimbursements transition from fee-for-service to value-based payment models. As behavioral health care moves towards integration of services with primary care, specific measures and payment incentives will be needed to successfully expand access. This study uses a keyword search to identify 730 quality indicators that are relevant to behavioral health and general medical health. Measures identified have been coded and grouped into domains based on a taxonomy developed by the authors. The analysis reveals that quality measures focusing on general medical conditions exceed those focused on behavioral health diagnoses for evidence-based treatments, patient safety, and outcomes. Furthermore, measures predominantly concentrate on care during or following hospitalizations, which represents a minority of behavioral health care and does not characterize the outpatient settings that are the focus of many models of integrated care. The authors offer recommendations for future steps to identify the quality measures that can best evaluate the evolving behavioral health care system.

Quality of life and associated socio-clinical factors after encephalitis in children and adults in England: a population-based, prospective cohort study.

OBJECTIVE: We sought to measure HRQoL in all-cause encephalitis survivors and assess the impact of various socio-clinical factors on outcome. METHODS: We used a prospective cohort study design, using the short-form 36 (SF-36) to measure the HRQoL in patients 15 years and older, and the short-form 10 (SF-10) for patients less than 15 years old. We posted questionnaires to individuals six months after discharge from hospital. All scores were normalised to the age- and sex-matched general population. We used multivariate statistical analysis to assess the relative association of clinical and socio-demographic variables on HRQoL in adults. RESULTS: Of 109 individuals followed-up, we received 61 SF-36 and twenty SF-10 questionnaires (response rate 74%). Patients scored consistently worse than the general population in all domains of the SF-36 and SF-10, although there was variation in individual scores. Infectious encephalitis was associated with the worst HRQoL in those aged 15 years and over, scoring on average 5.64 points less than immune-mediated encephalitis (95% CI -8.77- -2.89). In those aged less than 15 years the worst quality of life followed encephalitis of unknown cause. Immuno compromise, unemployment, and the 35-44 age group all had an independent negative association with HRQoL. A poor Glasgow Outcome Score was most strongly associated with a poor HRQoL. Less than half of those who had made a 'good' recovery on the score reported a HRQoL equivalent to the general population. CONCLUSIONS: Encephalitis has adverse effects on the majority of survivors' wellbeing and quality of life. Many of these adverse consequences could be minimised by prompt identification and treatment, and with better rehabilitation and support for survivors.

In the spotlight: healthcare inspections as an opportunity for trainee clinicians to be the leaders of today.

There have been repeated calls from all quarters of healthcare for more clinicians to be leaders. The risks of not accepting this responsibility have been demonstrated by harrowing reports into failed care in England. Ambiguity persists over what clinical leadership encompasses, how it can be developed and how to inspire clinicians to practise it. A supportive organisational culture, dedicated resources and national support are needed to foster leadership skills among trainee clinicians. Here we discuss a possible blueprint based on the recent reviews of English NHS Trusts with high mortality rates for future initiatives in empowering medical and nursing trainees to learn from leaders and practise leadership skills.

Improving blood and ECG monitoring among patients prescribed regular antipsychotic medications.

Aims and methods It is now well established that antipsychotic medications are associated with adverse effects such as metabolic dysfunction, hyperprolactinaemia and cardiac arrhythmias. We completed an audit cycle between 2008 and 2010 to assess whether the implementation of a high-visibility prompt and an educational programme would improve monitoring rates among patients prescribed regular antipsychotics admitted to a 59-bedded psychiatric hospital in West Sussex. Results There was an improvement in monitoring rates for most audit standards. The greatest improvement was seen in measurement of random plasma glucose and cholesterol levels. Rates improved irrespective of the risk of metabolic dysfunction. However, prolactin measurement remained static and the ECG recording deteriorated. Clinical implications There appears to be a growing awareness of the need to screen for metabolic dysfunction among patients prescribed regular antipsychotic medication. A high-visibility prompt and educational programme helps to increase monitoring rates. However, more needs to be done to improve the mortality and morbidity rates among this patient subpopulation.