Rural smokers : a prevention opportunity

Background: Smoking is the largest single cause of preventable death and disease in Australia. This study describes smoking prevalence and the characteristics of rural smokers to guide general practitioners in targeting particular groups.Methods: Cross sectional surveys in the Greater Green Triangle region of southeast Australia using a random population sample (n=1563, participation rate 48.7%) aged 25&ndash;74 years. Smoking information was assessed by a self administered questionnaire.Results: Complete smoking data were available for 1494 participants. Overall age adjusted current smoking prevalence was 14.9% (95% CI: 13.1&ndash;16.7). In both genders, current smoking prevalence decreased with age. Those aged 25&ndash;44 years were more likely to want to stop smoking and to have attempted cessation, but less likely to have received cessation advice than older smokers.Discussion: This study provides baseline smoking data for rural health monitoring and identifies intervention opportunities. General practice is suited to implement interventions for smoking prevention and cessation at every patient encounter, particularly in younger individuals.<br /

Thromboprophylaxis use in medical and surgical inpatients and the impact of an electronic risk assessment tool as part of a multi-factorial intervention. A report on behalf of the elVis study investigators

Venous thromboembolism (VTE) is a major source of morbidity and mortality for both surgical and medical hospitalised patients. Despite the availability of guidelines, thromboprophylaxis continues to be underutilised. This study aims to assess the effectiveness of an electronic VTE risk assessment tool (elVis) on VTE prophylaxis in hospitalised patients. A national, multicentre, prospective clinical audit collected information on VTE prophylaxis and risk factors for VTE in 2,400 hospitalised patients (comprising of equal numbers of medical, surgical and orthopaedic patients). After auditing the standard care use of VTE prophylaxis in 1,200 consecutive patients (audit 1, A1), the elVis system was installed and a second audit (A2) of VTE prophylaxis was performed in a further 1,200 patients. The use of the electronic VTE risk assessment tool was low with 20.5% of patients assessed with elVis. The intervention, elVis plus accompanying education, improved the use VTE prophylaxis to guidelines by 5.0% amongst all patients and by 10.7% amongst high risk patients (adjusted odds ratio (AOR) 1.27 and 1.65 respectively). The use of elVis in A2 varied between hospitals and specialties and this resulted in marked heterogeneity. Despite this heterogeneity, patients assessed with elVis had 1.44 times higher AOR of being treated to guidelines compared to those who were not (P < 0.05). The use of elVis accompanied by staff education improved VTE prophylaxis, especially amongst high risk patients. To optimise the effectiveness and support enduring practice change electronic systems, such as elVis, need to be completely integrated within the treatment pathway

Preventing diabetes through a lifestyle modification program that works

The Greater Green Triangle Diabetes Prevention Project was a national demonstrator program that was conducted in Hamilton, Horsham and Mount Gambier by the GGT UDRH in 2004 to 2006. The project was based on the Finnish Diabetes Prevention Study and the Good Ageing in Lahti Region Lifestyle Implementation Trial. It involved a series of group education sessions delivered to people at high risk of developing diabetes. As the positive effect of diabetes prevention programs is already well established, the aim of this study was to evaluate the feasibility of delivering a structured group-based lifestyle modification program in Australian primary care settings with modest resources. A follow-up investigation looked at whether gains achieved by the intervention were sustained longer term and whether telephone support would provide better outcomes

The potential for measuring ethnicity and health in a multicultural milieu - the case of type 2 diabetes in Australia

ObjectiveEthnicity influences health in many ways. For example, type 2&nbsp;diabetes (T2DM) is disproportionately prevalent among certain ethnic groups.&nbsp;Assessing ethnicity is difficult, and numerous proxy measures are used to&nbsp;capture its various components. Australian guidelines specify a set of&nbsp;variables for measuring ethnicity, and how such parameters should be&nbsp;categorised. Using T2DM data collections as an illustrative example, this&nbsp;study sought to examine how ethnicity is measured in Australian health&nbsp;databases and, by comparing current practice with Australia&rsquo;s existing&nbsp;benchmark recommendations, to identify potential areas for improvement of&nbsp;the health data landscape.DesignWe identified databases containing information from which ethnic&nbsp;group-specific estimates of T2DM burden may be gleaned. For each&nbsp;database, details regarding ethnicity variables were extracted, and compared&nbsp;with the Australian guidelines.&nbsp;ResultsData collection instruments for 32 relevant databases were reviewed.&nbsp;Birthplace was recorded in 27 databases (84%), but mode of birthplace&nbsp;assessment varied. Indigenous status was commonly recorded (78%, n=25), but&nbsp;only nine databases recorded other aspects of self-perceived race/ethnicity. Of&nbsp;28 survey/audit databases, 14 accommodated linguistic preferences other than&nbsp;English, and 11 either excluded non-English speakers or those for whom a&nbsp;translator was not available, or only offered questionnaires in English.ConclusionsConsiderable variation exists in the measurement of ethnicity in&nbsp;Australian health data- sets. While various markers of ethnicity provide&nbsp;complementary information about the ethnic profile within a data-set, nonuniform&nbsp;measurement renders comparison between data-sets difficult. A&nbsp;standardised approach is necessary, and identifying the ethnicity variables&nbsp;that are particularly relevant to the health sector is warranted. Including self identified&nbsp;ethnicity in Australia&rsquo;s set of recommended indicators and as a core&nbsp;component of the national census should be considered. Globalisation and&nbsp;increasing migration mean that these findings have implications internationally,&nbsp;including for multi-ethnic countries throughout North America and&nbsp;Europe.</div

Addressing evidence treatment gaps for cardiovascular disease through primary care collaboration

Aims &amp; Rationale/ObjectivesThe aim is to establish the frequency of counselling by general practitioners (GPs) and community pharmacists (CPs) for patients with uncontrolled CVD risk factors. This will identify conditions for which CPs might collaborate with GPs in addressing evidence-treatment gaps.MethodsA population survey undertaken in the Wimmera region of Victoria in 2006. 1425 adults aged 25-84 yrs were randomly selected using age/sex stratified electoral role samples. A representative 723 participants were recruited.Principal FindingsData on GP and CP visits were available for 694 participants. Overall, participants visited GPs 4.6 times and CPs 6.0 times/annum. However, one third of participants never consulted a pharmacist in 12 months compared to just 11.5% for GPs. Among obese patients (BMI ?? 30), the average number of visits/annum was 4.5 to GPs and 6.8 to CPs. The equivalent numbers were 5.6 and 8.6 respectively for those with systolic BP ?? 140 mmHg; 3.7 and 5.5 for total cholesterol &gt; 5.0 mmol/L; and, 6.7 and 14.6 for patients with random blood glucose concentrations ?? 7.0 mmol/L.ImplicationsPeople with suboptimal status for most common CVD risk factor are counselled frequently by CPs. A coordinated approach with GPs to the delivery of cardiovascular health promotion could provide valuable reinforcement of key messages and offers greater opportunity to identify at-risk individuals. Acknowledgements: KM is a pharmacist-academic at Greater Green Triangle UDRH, a position funded by the Department of Health and Ageing through the Rural and Remote Pharmacy Workforce Development Program<br /

How population health data can help primary care services to improve population health: a rural case study

No abstract available

Management of lipids in rural Australia : are the guidelines being followed?

Background: Hypercholesterolaemia is ranked seventh among the major factors contributing to the overall burden of disease in Australia. Guidelines for evidence-based lipid management were released in 2001 and updated in 2005, however little population level data has been published on the current gap between recommended management and actual practice in Australia.Method: Three population stratified surveys were undertaken in the Greater Green Triangle. Three thousand three hundred and twenty adults aged 25&ndash;74 years were randomly selected, stratified by gender and 10-year age groups. Anthropometric, clinical and self-administered questionnaire data relating to cardiovascular disease risk were collected in accordance with the WHO MONICA protocol. Blood samples were collected for lipid profile analysis. Participants were divided into four groups&mdash;Group 1: treated, high CVD risk; Group 2: treated, primary prevention; Group 3: untreated, high CVD risk; Group 4: untreated, low CVD risk. For each of these groups we compared cholesterol, HDL cholesterol, triglyceride and LDL cholesterol with targets recommended by the National Heart Foundation\u27s 2005 guidelines.Results: All lipids were at target in 39.4% of the study population with marked differences between groups: Group 1, 11.2%; Group 2, 38.5%; Group 3, 1.8%; Group 4, 47.6%.Only 50.8% of the untreated high CVD risk group reported having blood cholesterol measured within the last 12 months.Conclusion: Current rates of detection and treatment practices in rural Australia are suboptimal. Although one-third of the study population age 25&ndash;74 years are at sufficiently high risk to warrant consideration of lipid lowering medication only just over half of these were on treatment at the time of the study. These results suggest that an intensive implementation plan is required for the management of hyperlipidaemia in rural Australia.<br /