Linking human and ecosystem health: the benefits of community involvement in conservation groups

This study explored the health, well-being, and social capital benefits gained by community members who are involved in the management of land for conservation in six rural communities across Victoria. A total of 102 people participated in the study (64 males; 38 females) comprising 51 members of a community-based land management group and 51 controls matched by age and gender. Mixed methods were employed, including the use of an adapted version of Buckner’s (1988) Community Cohesion Scale. The results indicate that involvement in the management of land for conservation may contribute to both the health and well-being of members, and to the social capital of the local community. The members of the land management groups rated their general health higher, reported visiting the doctor less often, felt safer in the local community, and utilized the skills that they have acquired in their lifetime more frequently than the control participants. Male members reported the highest level of general health, and the greatest satisfaction with daily activities. Members also reported a greater sense of belonging to the local community and a greater willingness to work toward improving their community than their control counterparts. Of equal importance is evidence that involvement in voluntary conservation work constitutes a means of building social capital in rural communities which may help reduce some of the negative aspects of rural life.

Human health, well-being and global ecological scenarios

This article categorizes four kinds of adverse effects to human health caused by ecosystem change: direct, mediated, modulated, and systems failure. The effects are categorized on their scale, complexity, and lag-time. Some but not all of these can be classified as resulting from reduced ecosystem services. The articles also explores the impacts that different socioeconomic–ecologic scenarios are likely to have on human health and how changes to human health may, in turn, influence the unfolding of four different plausible future scenarios. We provide examples to show that our categorization is a useful taxonomy for understanding the complex relationships between ecosystems and human well-being and for predicting how future ecosystem changes may affect human health.

The relationship between national income and health : a new measure applied to Bangkok

The importance of good health of a population is crucial when determining social welfare. A new health-adjusted national income indicator that explores the relationships between economic growth, health and social welfare in Bangkok, Thailand from 1975 to 1999 is applied. This new approach to social welfare analysis is based on normative social choice theory, cost–benefit and systems analysis and is called (new)3 welfare economics. This paper argues that traditional measures of welfare, such as national income, fail to reflect accurately the impact of health on social welfare.

The mental health Risk Assessment and Management Process (RAMP) for schools: II. Process evaluation

The Risk Assessment and Management Process (RAMP) is a whole-school process for the assessment and management of student’s mental health and wellbeing in primary and secondary schools. A process evaluation revealed that RAMP was implemented as intended across six primary and three secondary schools in Melbourne, Australia. Using the RAMP risk and protective factors monitoring form and screening processes, each school identified ‘at-risk’ students who had not previously been identified or received assistance from welfare staff at the school. School staff and mental health workers from local agencies reported improvements in their knowledge of risk and protective factors, and their ability to identify at-risk students following RAMP. They also reported satisfaction in outcomes for at-risk students managed within the school using RAMP. All the primary schools and one of the
secondary schools continued to use some RAMP processes in their school up to 6 months after the initial implementation of the program.

Health risk behaviours and health care needs among people with psychiatric illness

This paper presents findings from two studies. Study 1 explored differences between people with psychiatric illness (PPI) (N=144) and the general population (N=151) in levels of low-fat diet, exercise and smoking. Study 2 investigated barriers and health care needs of PPI (N=60). The prevalence of overweight, cigarette smoking and sedentary lifestyle were significantly greater among PPI than the general population. Major predictors were limited social support, knowledge of correct dietary principles, lower self-efficacy, psychiatric symptomatology and various psychotropic drugs. The findings demonstrated that PPI over-used medical services but under-used preventive services due to inaccessibility, lower satisfaction and knowledge of services.

Ethnic aged discrimination and disparities in health and social care : a question of social justice

Older overseas-born Australians of diverse cultural and language backgrounds experience significant disparities in their health and social care needs and support systems. Despite being identified as a 'special needs' group, the ethnic aged in Australia are generally underserved by local health and social care services, experience unequal burdens of disease and encounter cultural and language barriers to accessing appropriate health and social care compared to the average Australian-born population. While a range of causes have been suggested to explain these disparities, rarely has the possibility of cultural racism been considered. In this article, it is suggested that cultural racism be named as a possible cause of ethnic aged disparities and disadvantage in health and social care. It is further suggested that unless cultural racism is named as a structural mechanism by which ethnic aged disparities in health and social care have been created and maintained, redressing them will remain difficult.

Priority setting in health: origins, description and application of the Australian Assessing Cost-Effectiveness initiative

This article reports on the ‘Assessing Cost–Effectiveness’ (ACE) initiative in priority setting from Australia. It commences with why priority setting is topical and notes that a wide variety of approaches are available. In assessing these various approaches, it is argued that a useful first step is to consider what constitutes an ‘ideal’ approach to priority setting. A checklist to guide priority setting is presented based on guidance from economic theory, ethics and social justice, lessons from empirical experience and the needs of decision-makers. The checklist is seen as an important contribution because it is the first time that criteria from such a broad range of considerations have been brought together to develop a framework for priority setting that endeavors to be both realistic and theoretically sound. The checklist will then be applied to a selection of existing approaches in order to illustrate their deficiencies and to provide the platform for explaining the unique features of the ACE approach. A case study (ACE-Cancer) will then be presented and assessed against the checklist, including reaction from stakeholders in the cancer field. The article concludes with an overview of the full body of ACE research completed to date, together with some reflections on the ACE experience.

Robustness in health research : do differences in health measures, techniques, and time frame matter?

Survey-based health research is in a boom phase following an increased amount of health spending in OECD countries and the interest in ageing. A general characteristic of survey-based health research is its diversity. Different studies are based on different health questions in different datasets; they use different statistical techniques; they differ in whether they approach health from an ordinal or cardinal perspective; and they differ in whether they measure short-term or long-term effects. The question in this paper is simple: do these differences matter for the findings? We investigate the effects of life-style choices (drinking, smoking, exercise) and income on six measures of health in the US Health and Retirement Study (HRS) between 1992 and 2002: (1) self-assessed general health status, (2) problems with undertaking daily tasks and chores, (3) mental health indicators, (4) BMI, (5) the presence of serious long-term health conditions, and (6) mortality. We compare ordinal models with cardinal models; we compare models with fixed effects to models without fixed-effects; and we compare short-term effects to long-term effects. We find considerable variation in the impact of different determinants on our chosen health outcome measures; we find that it matters whether ordinality or cardinality is assumed; we find substantial differences between estimates that account for fixed effects versus those that do not; and we find that short-run and long-run effects differ greatly. All this implies that health is an even more complicated notion than hitherto thought, defying generalizations from one measure to the others or one methodology to another.