A novel, multidomain, primary care nurse-led and mHealth-assisted intervention for dementia risk reduction in middle-aged adults (HAPPI MIND): study protocol for a cluster randomised controlled trial.

INTRODUCTION: Middle-aged multidomain risk reduction interventions targeting modifiable risk factors for dementia may delay or prevent a third of dementia cases in later life. We describe the protocol of a cluster randomised controlled trial (cRCT), HAPPI MIND (Holistic Approach in Primary care for PreventIng Memory Impairment aNd Dementia). HAPPI MIND will evaluate the efficacy of a multidomain, nurse-led, mHealth supported intervention for assessing dementia risk and reducing associated risk factors in middle-aged adults in the Australian primary care setting. METHODS AND ANALYSIS: General practice clinics (n≥26) across Victoria and New South Wales, Australia, will be recruited and randomised. Practice nurses will be trained to implement the HAPPI MIND intervention or a brief intervention. Patients of participating practices aged 45-65 years with ≥2 potential dementia risk factors will be identified and recruited (approximately 15 patients/clinic). Brief intervention participants receive a personalised report outlining their risk factors for dementia based on Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) scores, education booklet and referral to their general practitioner as appropriate. HAPPI MIND participants receive the brief intervention as well as six individualised dementia risk reduction sessions with a nurse trained in motivational interviewing and principles of behaviour change, a personalised risk reduction action plan and access to the purpose-built HAPPI MIND smartphone app for risk factor self-management. Follow-up data collection will occur at 12, 24 and 36 months. Primary outcome is ANU-ADRI score change at 12 months from baseline. Secondary outcomes include change in cognition, quality of life and individual risk factors of dementia. ETHICS AND DISSEMINATION: Project approved by Monash University Human Research Ethics Committee (ID: 28273). Results will be disseminated in peer-reviewed journals and at healthcare conferences. If effective in reducing dementia risk, the HAPPI MIND intervention could be integrated into primary care, scaled up nationally and sustained over time. TRIAL REGISTRATION NUMBER: ACTRN12621001168842.

Health and Disease-Emergent States Resulting From Adaptive Social and Biological Network Interactions.

Health is an adaptive state unique to each person. This subjective state must be distinguished from the objective state of disease. The experience of health and illness (or poor health) can occur both in the absence and presence of objective disease. Given that the subjective experience of health, as well as the finding of objective disease in the community, follow a Pareto distribution, the following questions arise: What are the processes that allow the emergence of four observable states-(1) subjective health in the absence of objective disease, (2) subjective health in the presence of objective disease, (3) illness in the absence of objective disease, and (4) illness in the presence of objective disease? If we consider each individual as a unique biological system, these four health states must emerge from physiological network structures and personal behaviors. The underlying physiological mechanisms primarily arise from the dynamics of external environmental and internal patho/physiological stimuli, which activate regulatory systems including the hypothalamic-pituitary-adrenal axis and autonomic nervous system. Together with other systems, they enable feedback interactions between all of the person's system domains and impact on his system's entropy. These interactions affect individual behaviors, emotional, and cognitive responses, as well as molecular, cellular, and organ system level functions. This paper explores the hypothesis that health is an emergent state that arises from hierarchical network interactions between a person's external environment and internal physiology. As a result, the concept of health synthesizes available qualitative and quantitative evidence of interdependencies and constraints that indicate its top-down and bottom-up causative mechanisms. Thus, to provide effective care, we must use strategies that combine person-centeredness with the scientific approaches that address the molecular network physiology, which together underpin health and disease. Moreover, we propose that good health can also be promoted by strengthening resilience and self-efficacy at the personal and social level, and via cohesion at the population level. Understanding health as a state that is both individualized and that emerges from multi-scale interdependencies between microlevel physiological mechanisms of health and disease and macrolevel societal domains may provide the basis for a new public discourse for health service and health system redesign.

The informatics capability maturity of integrated primary care centres in Australia.

CONTEXT: Integrated primary care requires systems and service integration along with financial incentives to promote downward substitution to a single entry point to care. Integrated Primary Care Centres (IPCCs) aim to improve integration by co-location of health services. The Informatics Capability Maturity (ICM) describes how well health organisations collect, manage and share information; manage eHealth technology, implementation, change, data quality and governance; and use "intelligence" to improve care. AIM: Describe associations of ICM with systems and service integration in IPCCs. METHODS: Mixed methods evaluation of IPCCs in metropolitan and rural Australia: an enhanced general practice, four GP Super Clinics, a "HealthOne" (private-public partnership) and a Community Health Centre. Data collection methods included self-assessed ICM, document review, interviews, observations in practice and assessment of electronic health record data. Data was analysed and compared across IPCCs. FINDINGS: The IPCCs demonstrated a range of funding models, ownership, leadership, organisation and ICM. Digital tools were used with varying effectiveness to collect, use and share data. Connectivity was problematic, requiring "work-arounds" to communicate and share information. The lack of technical, data and software interoperability standards, clinical coding and secure messaging were barriers to data collection, integration and sharing. Strong leadership and governance was important for successful implementation of robust and secure eHealth systems. Patient engagement with eHealth tools was suboptimal. CONCLUSIONS: ICM is positively associated with integration of data, systems and care. Improved ICM requires a health workforce with eHealth competencies; technical, semantic and software standards; adequate privacy and security; and good governance and leadership.

Health professional perspectives on the management of multimorbidity and polypharmacy for older patients in Australia.

Background: delivering appropriate care for patients with multimorbidity and polypharmacy is increasingly challenging. Challenges for individual healthcare professions are known, but only little is known about overall healthcare team implementation of best practice for these patients. Objective: to explore current approaches to multimorbidity management, and perceived barriers and enablers to deliver appropriate medications management for community-dwelling patients with multimorbidity and polypharmacy, from a broad range of healthcare professional (HCP) perspectives in Australia. Methods: this qualitative study used semi-structured interviews to gain in-depth understanding of HCPs' perspectives on the management of multimorbidity and polypharmacy. The interview guide was based on established principles for the management of multimorbidity in older patients. HCPs in rural and metropolitan Victoria and South Australia were purposefully selected to obtain a maximum variation sample. Twenty-six HCPs, from relevant medical, dentistry, nursing, pharmacy and allied health backgrounds, were interviewed between October 2013 and February 2014. Fourteen were prescribers and 12 practiced in primary care. Interviews were digitally audio-taped, transcribed verbatim and analysed using a constant comparison approach. Results: most participants did not routinely use structured approaches to incorporate patients' preferences in clinical decision-making, address conflicting prescriber advice, assess patients' adherence to treatment plans or seek to optimise care plans. Most HCPs were either unaware of medical decision aids and measurements tools to support these processes or disregarded them as not being user-friendly. Challenges with coordination and continuity of care, pressures of workload and poorly defined individual responsibilities for care, all contributed to participants' avoiding ownership of multimorbidity management. Potential facilitators of improved care related to improved culture, implementation of electronic health records, greater engagement of pharmacists, nurses and patients, families in care provision, and the use of care coordinators. Conclusion: extensive shortcomings exist in team-based care for the management of multimorbidity. Delegating coordination and review responsibilities to specified HCPs may support improved overall care.

Chronic illness and consumer inequality: the impact of health costs on people with chronic illnesses in rural and regional Australia.

This paper presents the results of a survey undertaken in rural and regional Victoria in 2003 on the total costs faced by households caring for people with chronic illnesses. The impact of these costs for the households is discussed in the context of neo-liberal policy development by Australian governments and the effects of those policies on such households.