975 resultados para Rural health -- Australia -- Textbooks


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Issues addressed: The presence or absence of amenities in local neighbourhood environments can either promote or restrict access to opportunities to engage in healthy and/or less healthy behaviours. Rurality is thought to constrain access to facilities and services. This study investigated whether the presence and density of environmental amenities related to physical activity and eating behaviours differs between socioeconomically disadvantaged urban and rural areas in Victoria, Australia.

Methods: We undertook cross-sectional analysis of environmental data collected in 2007-08 as part of the Resilience for Eating and Activity Despise Inequality (READI) study. These data were sourced and analysed for 40 urban and 40 rural socioeconomically disadvantaged areas. The variables examined were the presence, raw count, count/km2, and count/'000 population of a range of environmental amenities (fast-food restaurants, all supermarkets (also separated by major chain and other supermarkets), greengrocers, playgrounds, gyms/leisure centres, public swimming pools and public open spaces).

Results: A greater proportion of urban areas had a fast-food restaurant and gym/leisure centre present while more rural areas contained a supermarket and public swimming pool. All amenities examined (with the exception of swimming pools) were more numerous per km2 in urban areas, however rural areas had a greater number of all supermarkets, other supermarkets, playgrounds, swimming pools and public open area per '000 population.

Conclusion: Although opportunities to engage in healthy eating and physical activity exist in many rural areas, a lower density per km2 suggests a greater travel distance may be required to reach these.

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To address increasing rates of overweight and obesity, a population-based telephone intervention was introduced in New South Wales, Australia. The Get Healthy Information and Coaching Service® (GHS) offered participants a 6-month coaching program or detailed self-help information. Determining the population reach of GHS is of public health importance to ensure that the program reaches disadvantaged groups. This paper describes the socio-demographic and risk profile of participants (n = 4828) in the first 18 months of operations, determines how representative they are of the population, assesses changes in participants’ socio-demographic profile and compares ‘information-only’ and ‘coaching’ participants. The results show that GHS users are representative of the adult population in relation to education, employment status, Aboriginal status, fruit and vegetable consumption and alcohol use. However, more female, middle-aged, English-speaking, rural and socially disadvantaged adults participated in GHS. Coaching Participants were more likely to be overweight and to be ex-smokers than the general population. There was substantial variability in GHS recruitment, when mass-reach television advertising was used, participants enrolled from a major city and from more disadvantaged communities. The GHS has broader population reach than many local interventions, but further efforts are needed to increase reach by Aboriginal communities, other minorities and men.

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Communities play a critical role in supporting pre-service teachers during rural and regional professional experience. This support, coupled with access to teacher educators and university resources, appears to positively influence graduate attitudes toward taking up a rural appointment. These are among the key findings to emerge from open-ended responses within 263 surveys completed for the Rethinking Teacher Education for Rural and Regional Sustainability—Renewing Teacher Education for Rural and Regional Australia project (TERRAnova). The national surveys, collected annually from 2008-2010, monitored the impact of state-based financial incentives designed to promote rural and regional professional experience. Findings discussed in this article have implications for teacher educators and rural school leaders as they work in partnership with communities to support pre-service teachers on rural and regional practicum.

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Despite the widely articulated health implications of physical inactivity, declines in youth participation levels, particularly for adolescent girls, have fuelled social and moral panics about the importance of regular physical activity. Recent attempts to explain these participation trends have focused on the institutional and cultural discourses that are drawn on to construct particular identities and social practices connected with sport, physical education and leisure interests. In this paper we report on the findings of data collected through interview and focus group sessions with 138 females ranging from 14 to 16 years of age across six rural and regional communities in the state of Victoria, Australia. Adopting a feminist poststructuralist methodology and drawing on the work of Foucault, we explore the impact that dominant discourse-power relations operating in the context of rural and regional sport and physical education can have in the negotiation of physically active identities for adolescent girls.

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Market principles now dominate the education and social policies of many Anglophone countries, including Australia, but articulate differentially within specific contexts. Existing historical legacies, local economic and social conditions, and geographical settings interact with federal and state funding and transport policies to shape the nature of regional education markets and the choices families make in a rural school market in Australia. Through two school case studies, this article explores the effects of policy shifts on parental choice and student movement within a regional Victorian community. Informed by policy sociology, the article views the policy as a dynamic, often ad hoc process with contradictory effects. It indicates how an ensemble of federal and state funding and conveyancing policies enable some schools to develop marketing practices that reconstruct the local education market to their advantage through the introduction of transport and flexi-boarding policies. It demonstrates that education markets are not confined to urban settings and that while choice is not a new phenomenon in this rural area, federal and state funding and transport policies have reconfigured local markets and intensified the market work undertaken by schools and parents with, in this instance, unequal effects on the provision of schooling in a rural region.

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Health services that aim to prevent and manage chronic kidney disease (CKD) in rural and remote Aboriginal communities in Australia, including the Goldfields region of Western Australia (WA), require innovative approaches. Nursing roles can significantly improve access to renal services in rural and remote areas as they are able to address a range of renal health promotion and prevention activities, and provide renal clinical education and support to Aboriginal people. The Goldfields Kidney Disease Nursing Management Program (GKDNMP), funded through the Council of Australian Governments (COAG) National Partnership Agreements, was developed to provide a comprehensive approach to primary health care that incorporates a range of health promotion and disease management activities. In the first year, the program increased home dialysis rates and decreased patient travel due to expanded access to renal care within the region. Context-specific health programs generated in response to local needs can be successful in addressing specific health care challenges in rural and remote health.

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Background Health economics is increasingly used to inform resource allocation decision-making, however, there is comparatively little evidence relevant to minority groups. In part, this is due to lack of cost and effectiveness data specific to these groups upon which economic evaluations can be based. Consequently, resource allocation decisions often rely on mainstream evidence which may not be representative, resulting in inequitable funding decisions. This paper describes a method to overcome this deficiency for Australia’s Indigenous population. A template has been developed which can adapt mainstream health intervention data to the Indigenous setting.

Methods The ‘Indigenous Health Service Delivery Template’ has been constructed using mixed methods, which include literature review, stakeholder discussions and key informant interviews. The template quantifies the differences in intervention delivery between best practice primary health care for the Indigenous population via Aboriginal Community Controlled Health Services (ACCHSs), and mainstream general practitioner (GP) practices. Differences in costs and outcomes have been identified, measured and valued. This template can then be used to adapt mainstream health intervention data to allow its economic evaluation as if delivered from an ACCHS.

Results The template indicates that more resources are required in the delivery of health interventions via ACCHSs, due to their comprehensive nature. As a result, the costs of such interventions are greater, however this is accompanied by greater benefits due to improved health service access. In the example case of the polypill intervention, 58% more costs were involved in delivery via ACCHSs, with 50% more benefits. Cost-effectiveness ratios were also altered accordingly.

Conclusions The Indigenous Health Service Delivery Template reveals significant differences in the way health interventions are delivered from ACCHSs compared to mainstream GP practices. It is important that these differences are included in the conduct of economic evaluations to ensure results are relevant to Indigenous Australians. Similar techniques would be generalisable to other disadvantaged minority populations. This will allow resource allocation decision-makers access to economic evidence that more accurately represents the needs and context of disadvantaged groups, which is particularly important if addressing health inequities is a stated goal.

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To investigate the cross-national relevance of community health promotion, this paper compared community variation in alcohol use and risk and protective factors for adolescents in Australia (State of Victoria, 2009) and the Netherlands (2007/2008). Multi-level analyses examined community variation in heavy episodic (binge) alcohol use [≥5 drinks in a session ≥once in the prior fortnight (>63 ml of ethanol)] and associations with predictors. Representative community samples of adolescents (12–17 years) were recruited. The participants were 7812 students from 36 Australian communities and 15 082 adolescents from 124 Dutch communities. Predictors included adolescent reports of family, school, peer and neighbourhood environments and community predictors (rural, disadvantage). The overall prevalence of alcohol use prevalence was similar in both nations. Australia had higher use at younger ages and no difference between genders. In the Netherlands older adolescents and males used alcohol at significantly higher rates. Although individual predictors were mostly similar, binge drinking was more strongly associated with poor family management, friends' use of drugs and community disorganization in Australia. Significant community variation in adolescent heavy alcohol use was observed in both countries, but was higher in the Netherlands [inter class correlation 6.1%, (95% CI: 4.5–8.3%)] than Australia (ICC 2.4%, 1.3–4.5%). Youth from rural areas drank at a higher level, especially in the Netherlands. Targeting community level adolescent alcohol use appears feasible in both countries. Although behavioural patterns and risk and protective influences are similar in the Netherlands and Australia, important differences should be taken into account in tailoring community interventions.

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Mental health issues such as depression or anxiety and alcohol or other drug (AOD) problems often remain undiagnosed and untreated despite their prevalence in the community. This paper reports on the implementation and evaluation of an AOD and depression/anxiety screening programme within two Community Health Services (CHS) in Australia. Study 1 examined results from 5 weeks of screening (March–April 2008) using the Patient Health Questionnaire (two- and nine-item, Kroenke et al. 2001, 2003), the Conjoint Screen for Alcohol and other Drug Problems (Brown et al. 2001) and the Alcohol, Smoking and Substance Involvement Screening Test (Humeniuk & Ali 2006). Of the 55 clients screened, 33% were at risk of depression or anxiety, 22% reporting moderate-severe depression. Thirteen per cent were at risk of substance use disorders. A substantial proportion of at-risk clients were not currently accessing help for these issues from the CHS and therefore screening can facilitate identification and treatment referral. However, the majority of eligible clients were not screened, limiting screening reach. A second study evaluated the screening implementation from a process perspective via thematic analysis of focus group data from six managers and 14 intake/assessment workers (April 2008). This showed that when screening occurred, it facilitated opportunities for education and intervention with at-risk clients, although cultural mores, privacy concerns and shame/stigma could affect accuracy of screen scores at times. Importantly, the evaluation revealed that most decisions not to screen were made by workers, not by clients. Reasons for non-screening related to worker discomfort in asking sensitive questions and/or managing client distress, and a reluctance to spend long periods of time screening in time-pressured environments. The evaluation suggested that these problems could be resolved by splitting screening responsibilities, enhancing worker training and expanding follow-up screening. Findings will inform any community-based health system considering introducing screening.

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Aims and objectives : To compare the efficacy of chronic heart failure management programmes (CHF-MPs) according to a scoring algorithm used to quantify the level of applied interventions–the Heart Failure Intervention Score (HF-IS).

Background :
The overall efficacy of heart failure programmes has been proven in several meta-analyses. However, the debate continues as to which components are essential in a heart failure programme to improve patient outcomes.

Design : Prospective cohort study of patients participating in heart failure programmes.

Method :
Forty-eight of 62 (77%) programmes in Australia participating in a national register of CHF-MPs were evaluated using the HF-IS: derived from a summed and weighted score of each intervention applied by the CHF-MP (27 interventions overall). The CHF-MPs were prospectively categorised as relatively low (HF-IS < 190 – n = 39 programmes & 407 patients) or high (HF-IS ≥ 190 – n = 9 programmes & 166 patients) in complexity. Six-month morbidity and mortality rates in 573 consecutively recruited patients with systolic dysfunction and in New York Heart Association Class II–IV were prospectively examined.

Results : Patients exposed to CHF-MPs with a high HF-IS had a lower rate of unplanned, all-cause hospitalisation (n = 24, 14% vs. n = 102, 25%) compared with CHF-MPs with a low HF-IS within six months. On an adjusted basis, CHF-MPs with a high HF-IS were associated with a reduced risk of unplanned hospitalisation and/or death within six months and remained event-free longer.

Conclusion :
High complexity CHF-MPs applying more evidence-based interventions are associated with a higher event-free survival over six months.

Relevance to clinical practice : The HF-IS is an easy-to-use evidence-based tool to assist programme coordinators to improve the quality of their heart failure programme which may also improve patient outcomes.

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The recommended level for serum 25-hydroxyvitamin D (25(OH)D) in infants,  children,  dolescents and during pregnancy and lactation is ≥ 50 nmol/L. This level may need to be 10-20 nmol/L higher at the end of summer to maintain levels ≥ 50 nmol/L over winter and spring. • Sunlight is the most important source of vitamin D. The US recommended dietary allowance for vitamin D is 600 IU daily in children aged over 12 months and during pregnancy and lactation, assuming minimal sun exposure. • Risk factors for low vitamin D are: lack of skin exposure to sunlight, dark skin, southerly latitude, conditions affecting vitamin D metabolism and storage (including obesity) and, for infants, being born to a mother with low vitamin D and exclusive breastfeeding combined with at least one other risk factor. • Targeted measurement of 25(OH)D levels is recommended for infants, children and adolescents with at least one risk factor for low vitamin D and for pregnant women with at least one risk factor for low vitamin D at the first antenatal visit. • Vitamin D deficiency can be treated with daily low-dose vitamin D supplements, although barriers to adherence have been identified. High-dose intermittent vitamin D can be used in children and adolescents. Treatment should be paired with health education and advice about sensible sun exposure. Infants at risk of low vitamin D should be supplemented with 400 IU vitamin D₃ daily for at least the first year of life. • There is increasing evidence of an association between low vitamin D and a range of non-bone health outcomes, however there is a lack of data from robust randomised controlled trials of vitamin D supplementation.

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Objective
Ethnicity influences health in many ways. For example, type 2 
diabetes (T2DM) is disproportionately prevalent among certain ethnic groups. Assessing ethnicity is difficult, and numerous proxy measures are used to capture its various components. Australian guidelines specify a set of variables for measuring ethnicity, and how such parameters should be categorised. Using T2DM data collections as an illustrative example, this study sought to examine how ethnicity is measured in Australian health databases and, by comparing current practice with Australia’s existing benchmark recommendations, to identify potential areas for improvement of the health data landscape.


Design
We identified databases containing information from which ethnic group-specific estimates of T2DM burden may be gleaned. For each database, details regarding ethnicity variables were extracted, and compared with the Australian guidelines. 

Results

Data collection instruments for 32 relevant databases were reviewed. Birthplace was recorded in 27 databases (84%), but mode of birthplace assessment varied. Indigenous status was commonly recorded (78%, n=25), but only nine databases recorded other aspects of self-perceived race/ethnicity. Of 28 survey/audit databases, 14 accommodated linguistic preferences other than English, and 11 either excluded non-English speakers or those for whom a translator was not available, or only offered questionnaires in English.

Conclusions

Considerable variation exists in the measurement of ethnicity in Australian health data- sets. While various markers of ethnicity provide complementary information about the ethnic profile within a data-set, nonuniform measurement renders comparison between data-sets difficult. A standardised approach is necessary, and identifying the ethnicity variables that are particularly relevant to the health sector is warranted. Including self identified ethnicity in Australia’s set of recommended indicators and as a core component of the national census should be considered. Globalisation and increasing migration mean that these findings have implications internationally, including for multi-ethnic countries throughout North America and Europe.