SA HealthPlus, one of nine national Australian coordinated care trials, addressed chronic illness care by testing whether coordinated care would improve health outcomes at the cost of usual care. SA HealthPlus compared a generic model of coordinated care for 3,115 intervention patients with the usual care for 1,488 controls. Service coordinators and the behavioral and care-planning approach were new. The health status (SF-36) in six of eight projects improved, and those patients who had been hospitalized in the year immediately preceding the trial were the most likely to save on costs. A mid-trial review found that health benefits from coordinated care depended more on patients' self-management than the severity of their illness, a factor leading to the Flinders Model of SelfManagement Support.Keywords: Chronic disease, coordinated care, care plan, self-management, health outcomes. In Australia, the coordination of care for patients with multiple service needs may be hampered by mixed funding sources and the lack of integrated systems of care. Each of the commonwealth, state, and territory governments funds public health services: the commonwealth government administers the taxpayer-funded Medicare program to provide universal access to public health services by reimbursing general practitioners (GPs) and specialists on a fee-forservice basis, and the state governments support public hospitals. A mixture of state and commonwealth programs fund community care, including allied health services, and individuals can purchase private health insurance, which provides private hospital care and a range of ancillary services (physiotherapy, psychology, podiatry, etc.).In 1997, Australia's governments began trials of coordinated care to develop and test models of service delivery for chronic conditions (Commonwealth Department of Human Services and Health 1995). The impetus for reform was escalating health care costs driven by an aging population and advances in technology, a shift in emphasis of health care delivery from the tertiary-to the primary-care sector (World Health Organization 2002), and demands by consumers for more patientcentered care.The principal national hypothesis that the trials were asked to test within a two-year time frame was the following: Coordinating the care of people with multiple service needs, who receive their care through individual care plans and funds pooled from existing commonwealth, state, and joint programs, will improve their health and well-being using existing resources. The main purpose of the trials was to "develop and test different service delivery and funding arrangements, and to determine the extent to which the coordinated care model contributes to• Improved client outcomes.

Please note that any alterations made during the publishing process may not appear in this version. Please refer to the published article cited above. MethodsBaseline PIH data were collected for 294 patients with a range of co-morbid chronic conditions including diabetes, cardiovascular disease and arthritis. Scale data were analyzed for internal consistency and construct validity using Reliability Analysis and Factor Analysis. Construct validity was established using confirmatory factor analysis and a structural equation model. ResultsResults show a Cronbach alpha value of .82 and highlight four key factors (knowledge, coping, management of condition and adherence to treatment) across the twelve domains of the scale. These four key factors were then confirmed by applying the exploratory structural equation model to a hold-back sample of 118 patients. ConclusionThe PIH scale has been shown to exhibit construct validity and internal reliability.It therefore provides a relevant measure of health related outcomes for patients involved in chronic illness management and self-management programmes currently being implemented across Australia and around the world.

This study provides a systematic review of the empirical evidence related to the association between problem gambling and intimate partner violence (IPV). We identified 14 available studies in the systematic search (8 for victimisation only, 4 for perpetration only and 2 for both victimisation and perpetration). Although there were some equivocal findings, we found that most of the available research suggests that there is a significant relationship between problem gambling and being a victim of IPV. There was more consistent evidence that there is a significant relationship between problem gambling and perpetration of IPV. Meta-analyses revealed that over one third of problem gamblers report being victims of physical IPV (38.1%) or perpetrators of physical IPV (36.5%) and that the prevalence of problem gambling in IPV perpetrators is 11.3%. Although the exact nature of the relationships between problem gambling and IPV is yet to be determined, the findings suggest that less than full employment and clinical anger problems are implicated in the relationship between problem gambling and IPV victimization and that younger age, less than full employment, clinical anger problems, impulsivity, and alcohol and substance use are implicated in the relationship between problem gambling and IPV perpetration. The findings highlight the need for treatment services to undertake routine screening and assessment of problem gambling, IPV, alcohol and substance use problems, and mental health issues and provide interventions designed to manage this cluster of comorbid conditions. Further research is also required to investigate the relationship between problem gambling and violence that extends into the family beyond intimate partners.

There exists only a small number of empirical studies investigating the patterns of family violence in problem gambling populations, although some evidence exists that intimate partner violence and child abuse are among the most severe interpersonal correlates of problem gambling. The current article reports on the Australian arm of a large-scale study of the patterns and prevalence of co-occurrence of family violence and problem gambling in Australia, New Zealand and Hong Kong. The current study screened 120 help-seeking family members of problem gamblers in a range of clinical services for both family violence and problem gambling. The main results showed that 52.5% reported some form of family violence in the past 12 months: 20.0% reported only victimisation, 10.8% reported only perpetration and 21.6% reported both victimisation and perpetration of family violence. Parents, current and ex-partners were most likely to be both perpetrators and victims of family violence. There were no gender differences in reciprocal violence but females were more likely to be only victims and less likely to report no violence in comparison to males. Most of the 32 participants interviewed in depth, reported that gambling generally preceded family violence. The findings suggest that perpetration of family violence was more likely to occur as a reaction to deeply-rooted and accumulated anger and mistrust whereas victimisation was an outcome of gambler's anger brought on by immediate gambling losses and frustration. While multiple and intertwined negative family impacts were likely to occur in the presence of family violence, gambling-related coping strategies were not associated with the presence or absence of family violence. The implications of the findings for service providers are discussed.

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Out-patient VLCD treatment proved safe and effective in overweight diabetic subjects but those who chose conventional diet and exercise had a slower but more sustained weight loss. Diabetic patients willing to attempt VLCD may safely lose sufficient weight to allow major surgery, but weight regain is inevitable. Patients willing to undertake a long-term group programme of conventional diet can sustain significant weight loss for 5 years, but still require antidiabetic medication.

The primary aim of this study was to explore the prevalence and patterns of family violence in treatment-seeking problem gamblers. Secondary aims were to identify the prevalence of problem gambling in a family violence victimisation treatment sample and to explore the relationship between problem gambling and family violence in other treatment-seeking samples. Clients from 15 Australian treatment services were systematically screened for problem gambling using the Brief Bio-Social Gambling Screen and for family violence using single victimisation and perpetration items adapted from the Hurt-Insulted-Threaten-Screamed (HITS): gambling services (n=463), family violence services (n=95), alcohol and drug services (n=47), mental health services (n=51), and financial counselling services (n=48). The prevalence of family violence in the gambling sample was 33.9% (11.0% victimisation only, 6.9% perpetration only, and 16.0% both victimisation and perpetration). Female gamblers were significantly more likely to report victimisation only (16.5% cf. 7.8%) and both victimisation and perpetration (21.2% cf. 13.0%) than male gamblers. There were no other demographic differences in family violence prevalence estimates. Gamblers most commonly endorsed their parents as both the perpetrators and victims of family violence, followed by current and former partners. The prevalence of problem gambling in the family violence sample was 2.2%. The alcohol and drug (84.0%) and mental health (61.6%) samples reported significantly higher rates of any family violence than the gambling sample, while the financial counselling sample (10.6%) reported significantly higher rates of problem gambling than the family violence sample. The findings of this study support substantial comorbidity between problem gambling and family violence, although this may be accounted for by a high comorbidity with alcohol and drug use problems and other psychiatric disorders. They highlight the need for routine screening, assessment and management of problem gambling and family violence in a range of services.

The Sharing Health Care SA chronic disease selfmanagement (CDSM) project in rural South Australia was designed to assist patients with chronic and complex conditions (diabetes, cardiovascular disease and arthritis) to learn how to participate more effectively in the management of their condition and to improve their self-management skills. Participants with chronic and complex conditions were recruited into the Sharing Health Care SA program and offered a range of education and support options (including a 6-week peer-led chronic disease self-management program) as part of the Enhanced Primary Care care planning process. Patient self-reported data were collected at baseline and subsequent 6-month intervals using the Partners in Health (PIH) scale to assess selfmanagement skill and ability for 175 patients across four data collection points. Health providers also scored patient knowledge and self-management skills using the same scale over the same intervals. Patients also completed a modified Stanford 2000 Health Survey for the same time intervals to assess service utilisation and health-related lifestyle factors.Results show that both mean patient self-reported PIH scores and mean health provider PIH scores for patients improved significantly over time, indicating that patients demonstrated improved understanding of their condition and improved their ability to manage and deal with their symptoms. These results suggest that involvement in peer-led selfmanagement education programs has a positive effect on patient self-management skill, confidence and health-related behaviour.