9 research outputs found
Self Reported Overall Health Status.
Background Data collected using the South Australian chronic disease and risk factor surveillance system were analysed in order to monitor changes in the prevalence of overall health status over time.Methods The South Australian Monitoring and Surveillance System (SAMSS) has been conducted monthly since 2002. This representative, population, chronic disease and risk factor, telephone-based surveillance system includes a single question determining the prevalence of overall health status (SF1) and a wide range of demographics, social, chronic conditions and risk factor indicators. Results Between 2006 and 2008, 83.2% of respondents reported ‘Excellent, Very Good or Good’ health and 16.8% reported ‘Fair or Poor’ health. There was a statistically significant trend in the age sex standardised prevalence of those reporting ‘Very Good’, ‘Good’ or ‘Poor’ health from 2002 to 2008. The SF1 identifies ‘Fair or Poor’ health in the case of those with chronic conditions and health risk factors, and ‘Excellent, Very Good or Good’ health in the absence of chronic conditions. A wide range of social, demographic variables, with those of a lower socio-economic status in particular, statistically significantly more likely to report a lower overall health statusConclusion The SF1 can be used to measure general health as part of telephone surveys and surveillance systems
Health Impact Assessment in New South Wales & Health in All Policies in South Australia: differences, similarities and connections
Parent-reported Mental Health Problems and Mental Health Services Use in South Australian School-aged Children
Background:Monitoring and reporting childhood mental health problems and mental health services utilization over time provide important information to identify mental health related issues and to guide early intervention. This paper aims to describe the recent prevalence of parent-reported mental health problems among South Australian (SA) children; to identify mental health problems associated characteristics; and to describe mental health services utilization and its related characteristics among this population. Methods:Parent-reported mental health problems were assessed against the first item of the Strength and Difficulties Questionnaire. School-aged children were randomly sampled monthly and data were collected using a surveillance system between 2005 and 2015. Associations between mental health problems and various factors were analysed using univariable analysis and multivariable logistic regression modelling. Results:Prevalence of parent-reported mental health problems among children was 9.1% and 9.3% for children aged 5 to 11 years and children aged 12 to 15 years, respectively. No change in prevalence was observed during the past decade. Mental health problems were associated with male sex, long-term illness or pain, negative school experiences, not living with biological parents, and living in a rental dwelling. Less than half (48.7%) of the children with mental health problems received professional help. An increasing trend was found in mental health services utilisation among children aged 5 to 15 years. Utilization of mental health services was associated with male sex, older age, long-term illness or pain, and feeling unhappy at school. Conclusion:This study reports the prevalence of parent-reported mental and mental health services utilisation among SA school-aged children. Identified characteristics associated with mental health problems and mental health services utilisation provide useful information for the planning of catered population initiatives
Health in All Policies in South Australia:what has supported early implementation?
Health in All Policies (HiAP) is a policy development approach that facilitates intersectoral responses to addressing the social determinants of health and health equity whilst, at the same time, contributing to policy priorities across the various sectors of government. Given that different models of HiAP have been implemented in at least 16 countries, there is increasing interest in how its effectiveness can be optimized. Much of the existing literature on HiAP remains descriptive, however, and lacks critical, empirically informed analyses of the elements that support implementation. Furthermore, literature on HiAP, and intersectoral action more generally, provides little detail on the practical workings of policy collaborations. This paper contributes empirical findings from a multi-method study of HiAP implementation in South Australia (SA) between 2007 and 2013. It considers the views of public servants and presents analysis of elements that have supported, and impeded, implementation of HiAP in SA. We found that HiAP has been implemented in SA using a combination of interrelated elements. The operation of these elements has provided a strong foundation, which suggests the potential for HiAP to extend beyond being an isolated strategy, to form a more integrated and systemic mechanism of policy-making. We conclude with learnings from the SA experience of HiAP implementation to inform the ongoing development and implementation of HiAP in SA and internationally
Health in All Policies in South Australia: what has supported early implementation?
© The Author 2015. Published by Oxford University Press. All rights reserved.Health in All Policies (HiAP) is a policy development approach that facilitates intersectoral responses to addressing the social determinants of health and health equity whilst, at the same time, contributing to policy priorities across the various sectors of government. Given that different models of HiAP have been implemented in at least 16 countries, there is increasing interest in how its effectiveness can be optimized. Much of the existing literature on HiAP remains descriptive, however, and lacks critical, empirically informed analyses of the elements that support implementation. Furthermore, literature on HiAP, and intersectoral action more generally, provides little detail on the practical workings of policy collaborations. This paper contributes empirical findings from a multi-method study of HiAP implementation in South Australia (SA) between 2007 and 2013. It considers the views of public servants and presents analysis of elements that have supported, and impeded, implementation of HiAP in SA. We found that HiAP has been implemented in SA using a combination of interrelated elements. The operation of these elements has provided a strong foundation, which suggests the potential for HiAP to extend beyond being an isolated strategy, to form a more integrated and systemic mechanism of policy-making. We conclude with learnings from the SA experience of HiAP implementation to inform the ongoing development and implementation of HiAP in SA and internationally
Evaluation of Health in All Policies:Concept, theory and application
This article describes some of the crucial theoretical, methodological and practical issues that need to be considered when evaluating Health in All Policies (HiAP) initiatives. The approaches that have been applied to evaluate HiAP in South Australia are drawn upon as case studies, and early findings from this evaluative research are provided. The South Australian evaluation of HiAP is based on a close partnership between researchers and public servants. The article describes the South Australian HiAP research partnership and considers its benefits and drawbacks in terms of the impact on the scope of the research, the types of evidence that can be collected and the implications for knowledge transfer. This partnership evolved from the conduct of process evaluations and is continuing to develop through joint collaboration on an Australian National Health & Medical Research Council grant. The South Australian research is not seeking to establish causality through statistical tests of correlations, but instead by creating a 'burden of evidence' which supports logically coherent chains of relations. These chains emerge through contrasting and comparing findings from many relevant and extant forms of evidence. As such, program logic is being used to attribute policy change to eventual health outcomes. The article presents the preliminary program logic model and describes the early work of applying the program logic approach to HiAP. The article concludes with an assessment of factors that have accounted for HiAP being sustained in South Australia from 2008 to 2013