An Evaluation of the Dual Diagnosis (substance use and mental health )Strategy in the South Eastern Trust Workers and Service Users Perceptions of Dual Diagnosis Issues

In the UK it is estimated that over 33% of psychiatric patients with enduring mental illness have a substance misuse problem, whilst over 50 % of clients currently accessing drug and alcohol services have a mental health problem. Between 2003 and 2013 in Northern Ireland, there were 741 recorded suicides by patients who were in contact with mental health services. Of this number, 68% (n=501) had a history of either alcohol or drug misuse or both, resulting in an average of 46 patient suicides per year associated with dual diagnosis (University of Manchester 2015).
The current evaluation examined staff attitudes towards working with dual diagnosis (co-existing difficulties) issues, staff confidence in working with clients with dual diagnosis, workers’ perceptions of the South Eastern dual diagnosis strategy and service user perspectives of dual diagnosis service provision.
The purpose of the evaluation was to provide evidence regarding the following in accordance with the current dual diagnosis strategy;
Staff understanding of the concept of dual diagnosis,
Staff attitudes towards working with dual diagnosis,
Staff confidence in working with individuals, who present with dual diagnosis,
Service users’ perspectives of SE Trust provision for dual diagnosis.
Staff views on the South Eastern Trust Dual Diagnosis Strategy.

DemTect:a new, sensitive cognitive screening test to support the diagnosis of mild cognitive impairment and early dementia

To design a new, highly sensitive psychometric screening to identify patients with mild cognitive impairment (MCI) and patients with dementia in the early stages of the disease.

Age related differences in mental health scale scores and depression diagnosis: Adult responses to the CIDI-SF and MHI-5.

Inconsistencies surrounding the prevalence levels of depression in later life suggest that the measurement of depression in older people may be problematic. The current study aimed to map responses to a depressive symptom scale, the Mental Health Index-5 (MHI-5) which is part of the Short form 36 (SF-36, Ware et al., 1993) against the diagnostic screening items of the Composite International Diagnostic Instrument-Short Form (CIDI-SF, Kessler et al., 1998) to examine disagreement rates across age groups. The study examined data from a national random sample of 10,641 participants living in Ireland, 58.8% were female and 19% were over 65 (SLÁN, 2007). CIDI-SF depression screening endorsement was lower in older groups, whereas mean MHI-5 depressive symptoms showed less change across age groups. Results showed that the odds of MHI-5 endorsers aged 18–44 endorsing CIDI-SF screening questions were 5 times and 4.5 times (dysphoria and anhedonia, respectively) greater than the odds of people aged 75 or more endorsing these items. Findings suggest that although the risk of depressive disorder may decrease with age, complex diagnostic screening questions may exaggerate lower rates of depression among older people.

Fault Diagnosis in Internal Combustion Engines Using Nonlinear Multivariate Statistics

This paper presents a statistical-based fault diagnosis scheme for application to internal combustion engines. The scheme relies on an identified model that describes the relationships between a set of recorded engine variables using principal component analysis (PCA). Since combustion cycles are complex in nature and produce nonlinear relationships between the recorded engine variables, the paper proposes the use of nonlinear PCA (NLPCA). The paper further justifies the use of NLPCA by comparing the model accuracy of the NLPCA model with that of a linear PCA model. A new nonlinear variable reconstruction algorithm and bivariate scatter plots are proposed for fault isolation, following the application of NLPCA. The proposed technique allows the diagnosis of different fault types under steady-state operating conditions. More precisely, nonlinear variable reconstruction can remove the fault signature from the recorded engine data, which allows the identification and isolation of the root cause of abnormal engine behaviour. The paper shows that this can lead to (i) an enhanced identification of potential root causes of abnormal events and (ii) the masking of faulty sensor readings. The effectiveness of the enhanced NLPCA based monitoring scheme is illustrated by its application to a sensor fault and a process fault. The sensor fault relates to a drift in the fuel flow reading, whilst the process fault relates to a partial blockage of the intercooler. These faults are introduced to a Volkswagen TDI 1.9 Litre diesel engine mounted on an experimental engine test bench facility.

Predictors of therapy resistant asthma: outcome of a systematic evaluation protocol

Background: It has been suggested that asthmatic subjects with persisting symptoms despite adequate maintenance therapy should be systematically evaluated to identify factors contributing to poor control. The aims of this study were to examine the prevalence of these factors in a cohort of sequentially referred poorly controlled asthmatics, and to determine if any factor or combination of factors predicted true therapy resistant asthma (TRA).

Methods: Patients were evaluated using a systematic evaluation protocol including induced sputum analysis, psychiatric assessment, ear, nose and throat examination, pulmonary function testing, high resolution CT scan of the thorax, and 24 hour dual probe ambulatory oesophageal pH monitoring; any identified provoking factor was treated. Asthma was managed according to BTS guidelines.

Results: Of 73 subjects who completed the assessment, 39 responded to intervention and 34 had TRA. Subjects with TRA had a greater period of instability, a higher dose of inhaled steroids at referral, more rescue steroid use, and a lower best percentage forced expiratory volume in 1 second (FEV1%). Oesophageal reflux, upper airway disease, and psychiatric morbidity were common (57%, 95%, 49%, respectively) but were not more prevalent in either group. Using multivariate logistic regression analysis, inhaled steroid dose >2000 µg BDP, previous assessment by a respiratory specialist, and initial FEV1% of <70% at referral predicted a final diagnosis of TRA.

Conclusions: In poorly controlled asthmatics there is a high prevalence of co-morbidity, identified by detailed systematic assessment, but no difference in prevalence between those who respond to intervention and those with TRA. Targeted treatment of identified co-morbidities has minimal impact on asthma related quality of life in those with therapy resistant disease.