Some economic dimensions of the mental health jigsaw in Australia

The purpose of this paper is to demonstrate that, although there are some unique features associated with mental illness, such special features do not preclude economic analysis. As a mechanism for understanding how individual economic studies fit into the mental health sector, a conceptual framework of the components of mental health service provision is outlined. Emphasis is placed on, not simply institutional and market resources, but also on the services provided by relatives, self-help groups, etc. Australian data on parts of the mental health sector are employed to illustrate that some (and different) economic analyses can be undertaken in mental health. First, time-series data on public psychiatric hospitals are employed to demonstrate trends associated with deinstitutionalisation. Other data (for Queensland alone) indicate that there are state-based differences in the provision of such services. Second, attention is then directed to the analysis of time-series data on private fee-for-service psychiatric services. Various concepts and measures from industrial economics are applied to analyse the relative size of this service industry, the pricing behaviour of the profession, the service-mix of "the psychiatry firms" operating in Australia.

Introducing evidence-based family assessment and therapy in child and youth mental health services: Applying systemic principles to maintain, sustain and build capacity

The purpose of this article is to overview the context of the mental health service in which we work, and family therapy's status prior to and after the impact of changes wrought by the introduction of the National Mental Health Policy. We then explore some key issues that we think contribute to the persistence of the occlusion of family therapy in child psychiatric services; and the strategies that we developed and are continuing to develop to support change, finally, we describe the use of a family assessment instrument that we believe is central to our change strategy.

Cues and knowledge structures used by mental-health professionals when making risk assessments

Background: Research into mental-health risks has tended to focus on epidemiological approaches and to consider pieces of evidence in isolation. Less is known about the particular factors and their patterns of occurrence that influence clinicians’ risk judgements in practice. Aims: To identify the cues used by clinicians to make risk judgements and to explore how these combine within clinicians’ psychological representations of suicide, self-harm, self-neglect, and harm to others. Method: Content analysis was applied to semi-structured interviews conducted with 46 practitioners from various mental-health disciplines, using mind maps to represent the hierarchical relationships of data and concepts. Results: Strong consensus between experts meant their knowledge could be integrated into a single hierarchical structure for each risk. This revealed contrasting emphases between data and concepts underpinning risks, including: reflection and forethought for suicide; motivation for self-harm; situation and context for harm to others; and current presentation for self-neglect. Conclusions: Analysis of experts’ risk-assessment knowledge identified influential cues and their relationships to risks. It can inform development of valid risk-screening decision support systems that combine actuarial evidence with clinical expertise.

Knowledge engineering for mental-health risk assessment and decision support

Mental-health risk assessment practice in the UK is mainly paper-based, with little standardisation in the tools that are used across the Services. The tools that are available tend to rely on minimal sets of items and unsophisticated scoring methods to identify at-risk individuals. This means the reasoning by which an outcome has been determined remains uncertain. Consequently, there is little provision for: including the patient as an active party in the assessment process, identifying underlying causes of risk, and eecting shared decision-making. This thesis develops a tool-chain for the formulation and deployment of a computerised clinical decision support system for mental-health risk assessment. The resultant tool, GRiST, will be based on consensual domain expert knowledge that will be validated as part of the research, and will incorporate a proven psychological model of classication for risk computation. GRiST will have an ambitious remit of being a platform that can be used over the Internet, by both the clinician and the layperson, in multiple settings, and in the assessment of patients with varying demographics. Flexibility will therefore be a guiding principle in the development of the platform, to the extent that GRiST will present an assessment environment that is tailored to the circumstances in which it nds itself. XML and XSLT will be the key technologies that help deliver this exibility.

A pharmacy led program to review anti-psychotic prescribing for people with dementia

Background: Anti-psychotics, prescribed to people with dementia, are associated with approximately 1,800 excess annual deaths in the UK. A key public health objective is to limit such prescribing of anti-psychotics. Methods: This project was conducted within primary care in Medway Primary Care Trust (PCT) in the UK. There were 2 stages for the intervention. First, primary care information systems including the dementia register were searched by a pharmacy technician to identify people with dementia prescribed anti-psychotics. Second, a trained specialist pharmacist conducted targeted clinical medication reviews in people with dementia initiated on anti-psychotics by primary care, identified by the data search. Results: Data were collected from 59 practices. One hundred and sixty-one (15.3%) of 1051 people on the dementia register were receiving low-dose anti-psychotics. People with dementia living in residential homes were nearly 3.5 times more likely to receive an anti-psychotic [25.5% of care home residents (118/462) vs. 7.3% of people living at home (43/589)] than people living in their own homes (p?-one on the dementia register receiving low-dose anti-psychotics. Of the 161 people with dementia prescribed low-dose anti-psychotics, 91 were receiving on-going treatment from local secondary care mental health services or Learning Disability Teams. Of the remaining 70 patients the anti-psychotic was either withdrawn, or the dosage was reduced, in 43 instances (61.4%) following the pharmacy-led medication review. Conclusions: In total 15.3% of people on the dementia register were receiving a low-dose anti-psychotic. However, such data, including the recent national audit may under-estimate the usage of anti-psychotics in people with dementia. Anti-psychotics were used more commonly within care home settings. The pharmacist-led medication review successfully limited the prescribing of anti-psychotics to people with dementia.

Medication reconciliation by a pharmacy technician in a mental health assessment unit

Background: Medication discrepancies are common when patients cross organisational boundaries. However, little is known about the frequency of discrepancies within mental health and the efficacy of interventions to reduce discrepancies. Objective: To evaluate the impact of a pharmacy-led reconciliation service on medication discrepancies on admissions to a secondary care mental health trust. Setting: In-patient mental health services. Methods: Prospective evaluation of pharmacy technician led medication reconciliation for admissions to a UK Mental Health NHS Trust. From March to June 2012 information on any unintentional discrepancies (dose, frequency and name of medication); patient demographics; and type and cause of the discrepancy was collected. The potential for harm was assessed based on two scenarios; the discrepancy was continued into primary care, and the discrepancy was corrected during admission. Logistic regression identified factors associated with discrepancies. Main outcome measure: Mean number of discrepancies per admission corrected by the pharmacy technician. Results Unintentional medication discrepancies occurred in 212 of 377 admissions (56.2 %). Discrepancies involving 569 medicines (mean 1.5 medicines per admission) were corrected. The most common discrepancy was omission (n = 464). Severity was assessed for 114 discrepancies. If the discrepancy was corrected within 16 days the potential harm was minor in 71 (62.3 %) cases and moderate in 43 (37.7 %) cases whereas if the discrepancy was not corrected the potential harm was minor in 27 (23.7 %) cases and moderate in 87 (76.3 %) cases. Discrepancies were associated with both age and number of medications; the stronger association was age. Conclusions: Medication discrepancies are common within mental health services with potentially significant consequences for patients. Trained pharmacy technicians are able to reduce the frequency of discrepancies, improving safety. © 2013 Koninklijke Nederlandse Maatschappij ter bevordering der Pharmacie.

Belief nets for mental health

DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

Examining the relationship between risk assessment and risk management in mental health

Risk assessment is crucial for developing risk management plans to prevent or minimize mental health patients' risks that will impede their recovery. Risk assessments and risk management plans should be closely linked. Their content and the extent to which they are linked within one Trust is explored. There is a great deal of variability in the amount and detail of risk information collected by nurses and how this is used to develop risk management plans. Keeping risk assessment information in one place rather than scattered throughout patient records is important for ensuring it can be accessed easily and linked properly to risk management plans. Strengthening the link between risk assessment and management will help ensure interventions and care is tailored to the specific needs of individual patients, thus promoting their safety and well-being. Thorough risk assessment helps in developing risk management plans that minimize risks that can impede mental health patients' recovery. Department of Health policy states that risk assessments and risk management plans should be inextricably linked. This paper examines their content and linkage within one Trust. Four inpatient wards for working age adults (18-65 years) in a large mental health Trust in England were included in the study. Completed risk assessment forms, for all patients in each inpatient ward were examined (n= 43), followed by an examination of notes for the same patients. Semi-structured interviews took place with ward nurses (n= 17). Findings show much variability in the amount and detail of risk information collected by nurses, which may be distributed in several places. Gaps in the risk assessment and risk management process are evident, and a disassociation between risk information and risk management plans is often present. Risk information should have a single location so that it can be easily found and updated. Overall, a more integrated approach to risk assessment and management is required, to help patients receive timely and appropriate interventions that can reduce risks such as suicide or harm to others. © 2011 Blackwell Publishing.

Satisfaction with primary care:the perspectives of people with schizophrenia

Background. Schizophrenia affects up to 1% of the population in the UK. People with schizophrenia use the National Health Service frequently and over a long period of time. However, their views on satisfaction with primary care are rarely sought. Objectives. This study aimed to explore the elements of satisfaction with primary care for people with schizophrenia. Method. A primary care-based study was carried out using semi-structured interviews with 45 patients with schizophrenia receiving shared care with the Northern Birmingham Mental Health Trust between 1999 and 2000. Results. Five major themes that affect satisfaction emerged from the data: the exceptional potential of the consultation itself; the importance of aspects of the organization of primary care; the construction of the user in the doctor-patient relationship; the influence of stereotypes on GP behaviour; and the importance of hope for recovery. Conclusion. Satisfaction with primary care is multiply mediated. It is also rarely expected or achieved by this group of patients. There is a significant gap between the rhetoric and the reality of user involvement in primary care consultations. Acknowledging the tensions between societal and GP views of schizophrenia as an incurable life sentence and the importance to patients of hope for recovery is likely to lead to greater satisfaction with primary health care for people with schizophrenia.

Investigating mental health risk assessment in primary care and the potential role of a structured decision support tool, GRiST

Aim: To explore current risk assessment processes in general practice and Improving Access to Psychological Therapies (IAPT) services, and to consider whether the Galatean Risk and Safety Tool (GRiST) can help support improved patient care. Background: Much has been written about risk assessment practice in secondary mental health care, but little is known about how it is undertaken at the beginning of patients' care pathways, within general practice and IAPT services. Methods: Interviews with eight general practice and eight IAPT clinicians from two primary care trusts in the West Midlands, UK, and eight service users from the same region. Interviews explored current practice and participants' views and experiences of mental health risk assessment. Two focus groups were also carried out, one with general practice and one with IAPT clinicians, to review interview findings and to elicit views about GRiST from a demonstration of its functionality. Data were analysed using thematic analysis. Findings Variable approaches to mental health risk assessment were observed. Clinicians were anxious that important risk information was being missed, and risk communication was undermined. Patients felt uninvolved in the process, and both clinicians and patients expressed anxiety about risk assessment skills. Clinicians were positive about the potential for GRiST to provide solutions to these problems. Conclusions: A more structured and systematic approach to risk assessment in general practice and IAPT services is needed, to ensure important risk information is captured and communicated across the care pathway. GRiST has the functionality to support this aspect of practice.

Handling varying amounts of missing data when classifying mental-health risk levels

One of the main challenges of classifying clinical data is determining how to handle missing features. Most research favours imputing of missing values or neglecting records that include missing data, both of which can degrade accuracy when missing values exceed a certain level. In this research we propose a methodology to handle data sets with a large percentage of missing values and with high variability in which particular data are missing. Feature selection is effected by picking variables sequentially in order of maximum correlation with the dependent variable and minimum correlation with variables already selected. Classification models are generated individually for each test case based on its particular feature set and the matching data values available in the training population. The method was applied to real patients' anonymous mental-health data where the task was to predict the suicide risk judgement clinicians would give for each patient's data, with eleven possible outcome classes: zero to ten, representing no risk to maximum risk. The results compare favourably with alternative methods and have the advantage of ensuring explanations of risk are based only on the data given, not imputed data. This is important for clinical decision support systems using human expertise for modelling and explaining predictions.

Understanding data collection behaviour of mental health practitioners

Failure to detect patients at risk of attempting suicide can result in tragic consequences. Identifying risks earlier and more accurately helps prevent serious incidents occurring and is the objective of the GRiST clinical decision support system (CDSS). One of the problems it faces is high variability in the type and quantity of data submitted for patients, who are assessed in multiple contexts along the care pathway. Although GRiST identifies up to 138 patient cues to collect, only about half of them are relevant for any one patient and their roles may not be for risk evaluation but more for risk management. This paper explores the data collection behaviour of clinicians using GRiST to see whether it can elucidate which variables are important for risk evaluations and when. The GRiST CDSS is based on a cognitive model of human expertise manifested by a sophisticated hierarchical knowledge structure or tree. This structure is used by the GRiST interface to provide top-down controlled access to the patient data. Our research explores relationships between the answers given to these higher-level 'branch' questions to see whether they can help direct assessors to the most important data, depending on the patient profile and assessment context. The outcome is a model for dynamic data collection driven by the knowledge hierarchy. It has potential for improving other clinical decision support systems operating in domains with high dimensional data that are only partially collected and in a variety of combinations.

Development and psychometric evaluation of a new team effectiveness scale for all types of community adult mental health teams:a mixed-methods approach

Defining 'effectiveness' in the context of community mental health teams (CMHTs) has become increasingly difficult under the current pattern of provision required in National Health Service mental health services in England. The aim of this study was to establish the characteristics of multi-professional team working effectiveness in adult CMHTs to develop a new measure of CMHT effectiveness. The study was conducted between May and November 2010 and comprised two stages. Stage 1 used a formative evaluative approach based on the Productivity Measurement and Enhancement System to develop the scale with multiple stakeholder groups over a series of qualitative workshops held in various locations across England. Stage 2 analysed responses from a cross-sectional survey of 1500 members in 135 CMHTs from 11 Mental Health Trusts in England to determine the scale's psychometric properties. Based on an analysis of its structural validity and reliability, the resultant 20-item scale demonstrated good psychometric properties and captured one overall latent factor of CMHT effectiveness comprising seven dimensions: improved service user well-being, creative problem-solving, continuous care, inter-team working, respect between professionals, engagement with carers and therapeutic relationships with service users. The scale will be of significant value to CMHTs and healthcare commissioners both nationally and internationally for monitoring, evaluating and improving team functioning in practice.

Integrating service user and practitioner expertise within a web-based system for collaborative mental-health risk and safety management

Objectives: To develop a decision support system (DSS), myGRaCE, that integrates service user (SU) and practitioner expertise about mental health and associated risks of suicide, self-harm, harm to others, self-neglect, and vulnerability. The intention is to help SUs assess and manage their own mental health collaboratively with practitioners. Methods: An iterative process involving interviews, focus groups, and agile software development with 115 SUs, to elicit and implement myGRaCE requirements. Results: Findings highlight shared understanding of mental health risk between SUs and practitioners that can be integrated within a single model. However, important differences were revealed in SUs' preferred process of assessing risks and safety, which are reflected in the distinctive interface, navigation, tool functionality and language developed for myGRaCE. A challenge was how to provide flexible access without overwhelming and confusing users. Conclusion: The methods show that practitioner expertise can be reformulated in a format that simultaneously captures SU expertise, to provide a tool highly valued by SUs. A stepped process adds necessary structure to the assessment, each step with its own feedback and guidance. Practice Implications: The GRiST web-based DSS (www.egrist.org) links and integrates myGRaCE self-assessments with GRiST practitioner assessments for supporting collaborative and self-managed healthcare.