Eight month post program completion: change in risk factors for chronic disease amongst participants in a four-month pedometer workplace health program

Objective: To evaluate whether participation in a 4-month, pedometer-based, physical activity, workplace health program is associated with long-term sustained improvements in risk factors for type 2 diabetesand cardiovascular disease, 8 months after the completion of the program.Design and Methods: A sample size of 720 was required. 762 Australian adults employed in primarily sedentary occupations and voluntarily enrolled in a workplace program were recruited. Demographic, behavioral, anthropometric and biomedical measurements were completed at baseline, 4 and 12 months.Results: About 76% of participants returned at 12 months. Sustained improvements at 12 months were observed for self-reported vegetable intake, self-reported sitting time and independently measured bloodpressure. Modest improvements from baseline in self-reported physical activity and independently measured waist circumference at 12 months indicated that the significant improvements observed immediately after the health program could not be sustained. Approximately half of those not meetingguidelines for physical activity, waist circumference and blood pressure at baseline, were meeting guidelines at 12 months.Conclusions: Participation in this 4-month, pedometer-based, physical activity, workplace health program was associated with sustained improvements in chronic disease risk factors at 12 months. These results indicate that such programs can have a long-term benefit and thus a potential role to play in population prevention of chronic disease.

Chronic condition management and self-management in Aboriginal communities in South Australia : outcomes of a longitudinal study

OBJECTIVES: This paper describes the longitudinal component of a larger mixed methods study into the processes and outcomes of chronic condition management and self-management strategies implemented in three Aboriginal communities in South Australia. The study was designed to document the connection between the application of structured systems of care for Aboriginal people and their longer-term health status. METHODS: The study concentrated on three diverse Aboriginal communities in South Australia; the Port Lincoln Aboriginal Health Service, the Riverland community, and Nunkuwarrin Yunti Aboriginal Health Service in the Adelaide metropolitan area. Repeated-measure clinical data were collected for individual participants using a range of clinical indicators for diabetes (type 1 and 2) and related chronic conditions. Clinical data were analysed using random effects modelling techniques with changes in key clinical indicators being modelled at both the individual and group levels. RESULTS: Where care planning has been in place longer than in other sites overall improvements were noted in BMI, cholesterol (high density and low density lipids) and HbA1c. These results indicate that for Aboriginal patients with complex chronic conditions, participation in and adherence to structured care planning and self-management strategies can contribute to improved overall health status and health outcomes. CONCLUSIONS: The outcomes reported here represent an initial and important step in quantifying the health benefits that can accrue for Aboriginal people living with complex chronic conditions such as diabetes, heart disease and respiratory disease. The study highlights the benefits of developing long-term working relationships with Aboriginal communities as a basis for conducting effective collaborative health research programs.

Statistically modelling the relationships between Type D personality and social support, health behaviors and symptom severity in chronic illness groups

OBJECTIVE: The study aimed to develop a predictive model of how Type D personality influences health behaviours, social support and symptom severity and assess its generalisability to a range of chronic illnesses.

DESIGN: Participants were classified as either healthy (n = 182) or having a chronic illness (n = 207). Participants completed an online survey measuring Type D and a range of health-related variables. Chronic illness participants were classified as having either a functional somatic syndrome (i.e. chronic fatigue syndrome or fibromyalgia), where the underlying pathological processes were unclear, or illnesses such as type 2 diabetes, osteoarthritis or rheumatoid arthritis, where the causes are well understood.

MAIN OUTCOME MEASURES: Outcome measures were health behaviours, social support and both physical and psychological symptoms.

RESULTS: The rate of Type D was higher in chronic illness participants (53%) than in healthy controls (39%). Negative affectivity (NA) and social inhibition (SI) both correlated with outcome measures, although NA was generally the stronger predictor. Using NA and SI as independent subscales led to superior prediction of health outcomes than using categorical or continuous representations.

CONCLUSION: Findings suggest that the relationship between Type D and health outcomes may generalise across different chronic illnesses.

Approaches to population health care : the emerging context!

This paper provides a review of recent developments in population-based approaches to community health and explores the origins of the population health concept and its implications for the operation of health service management. There is a growing perception among health professionals that the key to improving health outcomes will be the implementation of integrated and preventive population-based resource management rather than investment in systems that respond to crises and health problems at the acute end of the service provision spectrum only. That is, we will need increasingly to skew our community health and welfare investments towards preventive care, education, lifestyle change, self-management and environmental improvement if we are to reduce the rate of growth in the incidence of chronic disease and mitigate the impact of these diseases upon the acute health care system. While resources will still need to be devoted to the treatment and management of physical trauma, infectious diseases, inherited illness and chronic conditions, it is suggested we could reduce the rate at which demand for these services is increasing at present by managing our environment and communities better, and through the implementation of more effective early intervention programs across particular population groups. Such approaches are known generally as population health management, as opposed to individual or illness - based health management' or even public health - and suggest that health systems might productively focus in the future on population level causation and not just upon disease-specific problems or illness management after the fact. Population health approaches attempt to broaden our understanding of causation and manage health through an emphasis on the health of whole populations and by building healthy communities rather than seeing "health care" as predominantly about illness management or responses to health crises. The concept also presupposes the existence of cleaner and healthier environments, clean water and food, and the existence of vibrant social contexts in which individuals are able to work for the overall good of communities and, ultimately, of each other.

Chronic disease self-management in Aboriginal communities : towards a sustainable program of care in rural communities

The Chronic Disease Self-Management (CDSM) strategy for Aboriginal patients on Eyre Peninsula, South Australia, was designed to develop and trial new program tools and processes for goal setting, behaviour change and self-management for Aboriginal people with diabetes. The project was established as a one-year demonstration project to test and trial a range of CDSM processes and procedures within Aboriginal communities and not as a formal research project. Over a one-year period, 60 Aboriginal people with type-2 diabetes in two remote regional centres participated in the pilot program. This represents around 25% of the known Aboriginal diabetic population in these sites. The project included training for four Aboriginal Health Workers in goal setting and self-management strategies in preparation for them to run the program. Patients completed a Diabetes Assessment Tool, a Quality of Life Questionnaire (SF12), the Work and Social Adjustment Scale (WASAS) at 0, 6 and 12 months. The evaluation tools were assessed and revised by consumers and health professionals during the trial to determine the most functional and acceptable processes for Aboriginal patients. Some limited biomedical data were also recorded although this was not the principal purpose of the project. Initial results from the COAG coordinated care trial in Eyre suggest that goal setting and monitoring processes, when modified to be culturally inclusive of Aboriginal people, can be effective strategies for improving self-management skills and health-related behaviours of patients with chronic illness. The CDSM pilot study in Aboriginal communities has led to further refinement of the tools and processes used in chronic illness self-management programs for Aboriginal people and to greater acceptance of these processes in the communities involved. Participation in a diabetes self-management program run by Aboriginal Health Workers assists patients to identify and understand their health problems and develop condition management goals and patient-centred solutions that can lead to improved health and wellbeing for participants. While the development of self-management tools and strategies led to some early indications of improvements in patient participation and resultant health outcomes, the pilot program and the refinement of new assessment tools used to assist this process has been the significant outcome of the project. The CDSM process described here is a valuable strategy for educating and supporting people with chronic conditions and in gaining their participation in programs designed to improve the way they manage their illness. Such work, and the subsequent health outcome research planned for rural regions, will contribute to the development of more comprehensive CDSM programs for Aboriginal communities generally.

Next steps in the logic of consumer-led self-management : translating chronic condition self-management programmes (CCSM) into lifestyle management programmes for young people

The techniques applied in chronic condition self-management programmes (CCSM) to support patients with chronic conditions are basic counselling and communication strategies that would benefit people at all stages of life and wellness. The question being explored here is why, as a society, we wait until people develop essentially preventable chronic conditions before helping them to develop the life skills they need to manage their lives and their human interactions better rather than working to avoid or prevent many chronic conditions that develop as a result of people lacking such skills? If we were to teach coping and managing skills to everyone in a supportive and structured way, using the peer-led teaching and learning strategies and basic counselling and education processes that have been shown to be successful for other older groups with chronic illness, the overall population impact would be more significant. Therefore why wait until people have chronic conditions before empowering them with basic life management techniques? Do people need to be sick before they can be motivated to live more effective lives? Is sickness the main stimulus for triggering health-related behaviour change or can other factors in people’s lives serve to inform and motivate lifestyle change?

Small-scale rural pilot programs in chronic illness management - what next?

In recent years, rural SA has been the recipient of significant funding to support a range of new primary health care initiatives. Much of this funding, additional to normal recurrent budgets in our health system, has facilitated effective change and development through demonstration and research projects across the state. The resultant work involves programs such as: ? coordinated care trials (COAG) ? more allied health services (MAHS) ? Commonwealth regional health service initiatives (CRHS) ? quality use of medicines (QUM) ? community packages for aged care services ? Indigenous chronic disease self-management pilot programs (CDSM) ? chronic disease self-management (CDSM) programs - Sharing Health Care SA ? chronic disease self-management (CDSM) programs in Indigenous communities. In addition to the resources listed above, funding was also provided by the Commonwealth to establish the South Australian Centre for Rural and Remote Health (SACRRH) and develop the University Department of Rural Health in Whyalla. While this new funding has led to substantial developmental work in chronic illness management in particular, one needs to ask whether the time might not be right now for these hitherto small-scale change initiatives to be transformed into ongoing mainstream programs, informed and guided by research outcomes to date. Is it time to move beyond tentative chronic illness programs and into mainstream reform? We have shown that there is much to be gained, both for patients and for the system, from improved coordination of primary care services and initiatives such as self-management programs for patients with chronic conditions. Better management leads to improved patient health outcomes and can reduce demand for unplanned hospital and emergency services. Many admissions to rural hospitals requiring expensive services, in terms of infrastructure and staffing, could be either prevented, or patients could be managed more effectively in the community as part of a wider primary health care program.

Health systems change in 2010

Whilst health science, epidemiology and public health developments have forged enormous progress in understanding, prevention and cure in the health care area we still appear to lack the motivation to tackle the fundamental antecedents of many of our emerging population-based community health problems; the prevention of chronic illness being a prime example.

In spite of much progress in the area of health science, the social, economic and evolutionary forces that cast our physical being in the world still remain poorly understood or accepted in the health care arena. However, if our health care systems are to be manageable and sustainable in the future, these wider antecedents of our health status and wellbeing must be factored more fundamentally in to our management models with more effort being put into preventing lifestyle related chronic illnesses than is currently the case.

As in the past where public health infrastructure innovations such as running water and efficient waste disposal systems served to add greatly to the wellbeing of individuals and communities, we now need to make similar efforts to control preventable illnesses such as metabolic syndrome, type 2 diabetes and lifestyle related cardio-vascular disease at their source rather than waiting until the manifestation of these conditions require major medical and chemical intervention and management before we act. Our young people are at risk of early onset chronic conditions as a result of their emerging sedentary lifestyles, un-healthy dietary habits and health related behaviours, yet we continue to concentrate our health management effort on managing those with existing chronic conditions while leaving younger generations with lifestyle practices and behaviours that pre-dispose individuals to developing chronic illness earlier and earlier in their lives.

It is time we took notice of these emerging trends and began expending more effort to prevent what are essentially lifestyle related illnesses that can be eliminated before they become endemic. By concentrating more upon the social and environmental factors affecting our illness profiles as well as upon dealing more effectively with those who are already suffering from chronic illness we will reduce the need for major end-stage interventions and alleviate the impact and cost of early onset chronic disease. To achieve this new population health vision in Australia at least, we will not only need to utilize the new government funding structures more effectively; those structures that support coordination and more effective management of care, but also take a much broader, environmental and social view of cause and effect in relation to the health of populations.

Translating chronic condition self-management programmes (CCSM) into lifestyle management programmes for young people

The techniques applied in chronic condition self-management programmes (CCSM) to support patients with chronic conditions are basic counselling and communication strategies that would benefit people at all stages of life and wellness. The question being explored here is why, as a society, we wait until people develop essentially preventable chronic conditions before helping them to develop the life skills they need to manage their lives and their human interactions better rather than working to avoid or prevent many chronic conditions that develop as a result of people lacking such skills? If we were to teach coping and managing skills to everyone in a supportive and structured way, using the peer-led teaching and learning strategies and basic counselling and education processes that have been shown to be successful for other older groups with chronic illness, the overall population impact would be more significant. Therefore why wait until people have chronic conditions before empowering them with basic life management techniques? Do people need to be sick before they can be motivated to live more effective lives? Is sickness the main stimulus for triggering health-related behaviour change or can other factors in people's lives serve to inform and motivate lifestyle change.

Health-inclusive higher education : listening to students with disabilities or chronic illnesses

This paper reports on a small-scale project undertaken with tertiary students who identified as having an impairment either at enrolment or by registering with the university's Disability Support Unit (DSU). The aim of the study was to explore with these students ways in which the university was currently meeting their academic support needs and the ways in which these needs might be better met. Consistent with the definition of disability within the Australian Disability Discrimination Act, it became apparent that a significant number of students who identified with that definition, or sought help from disability services, also presented with needs arising from chronic illness. The majority of participants cited an emotional or psychological illness, rather than a physical, intellectual or sensory one, as a possible precursor to difficulties in engagement with the university. We conclude by considering whether commonly used institutional categories are apposite to an understanding of the ways in which students perceive themselves and, importantly, their engagement with the university and success within it.

Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey

BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from surveys, such as the triennial National Health Survey. However, international evidence suggests that self-reported data may substantially underestimate actual risk factor prevalence. This study sought to characterise the extent of misreporting in a large, nationally-representative health survey that included objective measures of clinical risk factors for CVD.

METHODS: This study employed a cross-sectional analysis of 7269 adults aged 18 years and over who provided fasting blood samples as part of the 2011-12 Australian Health Survey. Self-reported prevalence of high blood pressure, high cholesterol and diabetes was compared to measured prevalence, and univariate and multivariate logistic regression analyses identified socio-demographic characteristics associated with underreporting for each risk factor.

RESULTS: Approximately 16 % of the total sample underreported high blood pressure (measured to be at high risk but didn't report a diagnosis), 33 % underreported high cholesterol, and 1.3 % underreported diabetes. Among those measured to be at high risk, 68 % did not report a diagnosis for high blood pressure, nor did 89 % of people with high cholesterol and 29 % of people with high fasting plasma glucose. Younger age was associated with underreporting high blood pressure and high cholesterol, while lower area-level disadvantage and higher income were associated with underreporting diabetes.

CONCLUSIONS: Underreporting has important implications for CVD risk factor surveillance, policy planning and decisions, and clinical best-practice guidelines. This analysis highlights concerns about the reach of primary prevention efforts in certain groups and implications for patients who may be unaware of their disease risk status.

Construct validity of the Dutch version of the 12-item Partners in Health scale: measuring patient self-management behaviour and knowledge in patients with Chronic Obstructive Pulmonary Disease

Objective The 12-item Partners in Health scale (PIH) was developed in Australia to measure self-management behaviour and knowledge in patients with chronic diseases, and has undergone several changes. Our aim was to assess the construct validity and reliability of the latest PIH version in Dutch COPD patients.

Methods The 12 items of the PIH, scored on a self-rated 9-point Likert scale, are used to calculate total and subscale scores (knowledge; coping; recognition and management of symptoms; and adherence to treatment). We used forward-backward translation of the latest version of the Australian PIH to define a Dutch PIH (PIH(Du)). Mokken Scale Analysis and common Factor Analysis were performed on data from a Dutch COPD sample to investigate the psychometric properties of the Dutch PIH; and to determine whether the four-subscale solution previously found for the original Australian PIH could be replicated for the Dutch PIH.

Results Two subscales were found for the Dutch PIH data (n = 118); 1) knowledge and coping; 2) recognition and management of symptoms, adherence to treatment. The correlation between the two Dutch subscales was 0.43. The lower-bound of the reliability of the total scale equalled 0.84. Factor analysis indicated that the first two factors explained a larger percentage of common variance (39.4% and 19.9%) than could be expected when using random data (17.5% and 15.1%).

Conclusion We recommend using two PIH subscale scores when assessing self-management in Dutch COPD patients. Our results did not support the four-subscale structure as previously reported for the original Australian PIH.

The Influence of type D personality on the onset and maintenance of chronic illness

The thesis found that Type D personality is a risk factor for onset and protracted morbidity of a number of high-prevalence, high-impact chronic conditions within the Australian population. The findings have potential implications for Australian health determinate models, healthcare policy, and the allocation of clinical and research healthcare resources.

Optimising health literacy and access of service provision to community dwelling older people with diabetes receiving home nursing support

Background. Health literacy is the ability to access, understand, and use information and services for good health. Among people with chronic conditions, health literacy requirements for effective self-management are high. The Optimising Health Literacy and Access (Ophelia) study engaged diverse organisations in the codesign of interventions involving the Health Literacy Questionnaire (HLQ) needs assessment, followed by development and evaluation of interventions addressing identified needs. This study reports the process and outcomes of one of the nine organisations, the Royal District Nursing Service (RDNS).

Methods. Participants were home nursing clients with diabetes. The intervention included tailored diabetes self-management education according to preferred learning style, a standardised diabetes education tool, resources, and teach-back method.

Results. Needs analysis of 113 quota-sampled clients showed difficulties managing health and finding and appraising health information. The service-wide diabetes education intervention was applied to 24 clients. The intervention was well received by clients and nurses. Positive impacts on clients' diabetes knowledge and behaviour were seen and nurses reported clear benefits to their practice.

Conclusion. A structured method that supports healthcare services to codesign interventions that respond to the health literacy needs of their clients can lead to evidence-informed, sustainable practice changes that support clients to better understand effective diabetes self-management.