Good lives model applied to a forensic population

According to the good lives model (GLM) all human beings seek primary goods (i.e., activities or experiences that benefit them) and offending reflects attempts to pursue these goods in ways that are unacceptable to society and damaging to the individual and others. The aim of this article was to explore how the GLM can be developed for use with a forensic population, a heterogeneous group of individuals whose common feature is the interface of the criminal justice and mental health systems. The conceptual, clinical and philosophical implications of using the good lives model of forensic mental health (GLM-FM) are explored. Three case studies are used to illustrate the ways in which the enriched model can provide a holistic approach to conceptualizing offending that occurs in the context of mental illness and in guiding treatment planning. It is suggested that the augmented model provides a clinically flexible and ethically sound framework for formulating treatment issues for forensic patients.

Rehabilitation frameworks in forensic mental health

This paper examines current rehabilitation approaches to Forensic Mental Health Care. On this basis the authors identified three broad approaches to forensic mental health assessment and treatment: (1) Risk/Needs/Responsivity; (2) therapeutic models targeting individual psychopathologies; and (3) strength based models. Following a review of each model the authors conclude that strength based approaches such as the Good Lives Model has theoretical and practical advantages over the other two rehabilitation frameworks.

Co-morbid cardiovascular disease and depression : sequence of disease onset is linked to mental but not physical self-rated health. Results from a cross-sectional, population-based study

Purpose: Self-rated health has been linked to important health and survival outcomes in individuals with co-morbid depression and cardiovascular disease (CVD). It is not clear how the timing of depression onset relative to CVD onset affects this relationship. We aimed to first identify the prevalence of major depressive disorder (MDD) preceding CVD and secondly determine whether sequence of disease onset is associated with mental and physical self-rated health. Methods: This study utilised cross-sectional, populationbased data from 224 respondents of the 2007 Australian National Survey of Mental Health and Wellbeing (NSMHWB). Participants were those diagnosed with MDD and reported ever having a heart/circulatory condition over their lifetime. Age of onset was reported for each condition. Logistic regression was used to explore differences in self-rated mental and physical health for those reporting pre-cardiac and post-cardiac depression. Results: The proportion of individuals in whom MDD preceded CVD was 80.36% (CI: 72.57-88.15). One-fifth (19.64%, CI: 11.85-27.42) reported MDD onset at the time of, or following, CVD. After controlling for covariates, the final model demonstrated that those reporting post-cardiac depression were significantly less likely to report poor selfrated mental health (OR:0.36, CI: 0.14-0.93) than those with pre-existing depression. No significant differences were found in self-rated physical health between groups (OR:0.90 CI: 0.38-2.14). Conclusions: MDD is most common prior to the onset of CVD. Further, there is an association between pre-morbid MDD and poorer self-rated mental health. To our knowledge, this is the first time this has been demonstrated in a national, population-based survey. As self-rated health has been shown to predict important outcomes such as survival, we recommend that those with MDD be identified as vulnerable to CVD onset and poorer health outcomes

Mercy health mental health nurse practitioner project report

The Nurse Practitioner – Mental Health model investigates the options for providing a service to a group of clients who present at Werribee and Western Emergency Departments (ED) and currently receive either limited mental health service or have an undiagnosed mental illness. This group comprises at risk young adults who do not meet the criteria for ongoing treatment in public mental health services at present. At risk young adults are those who fit known demographic variables for risk and have a risk catalyst (eg relationship break up) and a situational response to this (self harm). Mercy Mental Health Program service survey indicates gaps in services to this group using current referral pathway with potentially 40-70% lost to follow-up and a significant increase in risk for suicide.

Treatment response for acute depression is not associated with number of previous episodes: lack of evidence for a clinical staging model for major depressive disorder

Mental illness has been observed to follow a neuroprogressive course, commencing with prodrome, then onset, recurrence and finally chronic illness. In bipolar disorder and schizophrenia responsiveness to treatment mirrors these stages of illness progression, with greater response to treatment in the earlier stages of illness and greater treatment resistance in chronic late stage illness.

Using data from 5627 participants in 15 controlled trials of duloxetine, comparator arm (paroxetine, venlafaxine, escitalopram) or placebo for the treatment of an acute depressive episode, the relationship between treatment response and number of previous depressive episodes was determined. Data was dichotomised for comparisons between participants who had >3 previous episodes (n=1697) or ≤3 previous episodes (n=3930), and additionally for no previous episodes (n=1381) or at least one previous episode (n=4246). Analyses were conducted by study arm for each clinical trial, and results were then pooled.

There was no significant difference between treatment response and number of previous depressive episodes. This unexpected finding suggests that treatments to reduce symptoms of depression during acute illness do not lose efficacy for patients with a longer history of illness.

Understanding social work practice in mental health

Book review of: Understanding social work practice in mental health, by Vicki Coppock & Bob Dunn, 2010.

The TrueBlue model of collaborative care using practice nurses as case managers for depression alongside diabetes or heart disease: a randomised trial

Objectives:
To determine the effectiveness of collaborative care in reducing depression in primary care patients with diabetes or heart disease using practice nurses as case managers.

Integrated depression management: a proposed trial of a new model of care in a low vision rehabilitation setting

Purpose:
Depression is a common problem among people with visual impairment and contributes to functional decline. This article presents a study protocol to evaluate a new model of care for those patients with depressive symptoms in which psychological treatment is integrated into low vision rehabilitation services. Low vision staff will be trained to deliver "problem solving therapy for primary care" (PST-PC), an effective psychological treatment developed specifically for delivery by non-mental health care staff. PST-PC is delivered in 8 weekly telephone sessions of 30-45 minutes duration and 4 monthly maintenance sessions. We predict this new integrated model of care will significantly reduce depressive symptoms and improve the quality of life for people with visual impairment.

Methods and Design:
A randomized controlled trial of PST-PC will be implemented nationally across low vision rehabilitation services provided by Vision Australia. Clients who screen positive for depressive symptoms and meet study criteria will be randomized to receive PST-PC or usual care, consisting of a referral to their general practitioner for more detailed assessment and treatment. Outcome measures include depressive symptoms and behaviors, quality of life, coping and psychological adjustment to visual impairment. Masked assessments will take place pre- and post-intervention as well as at 6- and 12-month follow-up.

Conclusion:
We anticipate that this innovative service delivery model will lead to sustained improvements in clients' quality of life in a cost effective manner and provide an innovative service delivery model suitable for other health care areas in which depression is co-morbid.

Maternal and early postnatal nutrition and mental health of offspring by age 5 years: a prospective cohort study clinical guidance

Objective
Diet quality is related to the risk for depression and anxiety in adults and adolescents; however, the possible impact of maternal and early postnatal nutritional exposures on children’s subsequent mental health is unexplored.

Method
The large prospective Norwegian Mother and Child Cohort Study recruited pregnant women between 1999 and 2008. Data were collected from mothers during pregnancy and when children were 6 months and 1.5, 3, and 5 years of age. Latent growth curve models were used to model linear development in children’s internalizing and externalizing problems from 1.5 to 5 years of age as a function of diet quality during pregnancy and at 1.5 and 3 years. Diet quality was evaluated by dietary pattern extraction and characterized as “healthy” or “unhealthy.” The sample comprised 23,020 eligible women and their children. Adjustments were made for variables including sex of the child, maternal depression, maternal and paternal age, maternal educational attainment, household income, maternal smoking before and during pregnancy, mothers’ parental locus of control, and marital status.

Results
Higher intakes of unhealthy foods during pregnancy predicted externalizing problems among children, independently of other potential confounding factors and childhood diet. Children with a high level of unhealthy diet postnatally had higher levels of both internalizing and externalizing problems. Moreover, children with a low level of postnatal healthy diet also had higher levels of both internalizing and externalizing problems.

Conclusion
Among this large cohort of mothers and children, early nutritional exposures were independently related to the risk for behavioral and emotional problems in children.

Socio-demographic and work setting correlates of poor mental health in a population sample of working Victorians: application in evidence-based intervention priority setting

Interventions to promote mental health in the workplace are rapidly gaining acceptability as a means to prevent, screen, treat and effectively manage the growing disease burden of depression and anxiety among working people. The objective of this study was to identify socio-demographic and work setting correlates of poor mental health to consider alongside other evidence in priority setting for workplace mental health promotion (MHP). Multiple logistic regression was used to model the probability of poor mental health (SF-12) in relation to socio-demographic (gender, age, education, marital status and occupational skill level) and employment factors (workplace size and type, industrial sector, employment arrangement and working hours) in a population-based cross-sectional survey of 1051 working Victorians. As a result, poor mental health was (21% prevalence overall) higher in working females than in males and decreased with increasing age. Only one employment factor was significant in demographically adjusted multivariate analyses, showing an increase in the odds of poor mental health with increasing working hours. It is concluded that based on the prevalence of poor mental health, Victorian work settings with high proportions of younger workers, and younger working women in particular, should be prioritized for workplace MHP. Thus, together with other research demonstrating particularly poor psychosocial working conditions for young working women, sectors with an over-representation of this group (e.g. service sector) could be prioritized for workplace MHP alongside young and blue-collar males (also a priority due to low mental healthcare service use).