Does the shortage of diabetes specialists in regional and rural Australia matter? Results from Diabetes MILES – Australia.

Aim: To investigate differences in access to services and health outcomes between people living with Type 1 (T1DM) and Type 2 (T2DM) diabetes in rural/regional and metropolitan areas.

Methods: Diabetes MILES—Australia was a national postal/online survey of persons registered with the National Diabetes Services Scheme. Selected variables, including utilisation of health care services and self-care indicators, were analysed for 3338 respondents with T1DM (41%) or T2DM (59%).

Results: Respondents from rural/regional (n=1574, 48%) and metropolitan areas were represented equally (n=1700, 52%). After adjusting for diabetes duration, demographic and socioeconomic variables, rural/regional respondents with T1DM (RR 0.90, 95% CI 0.83–0.97) and T2DM (RR 0.69, 95% CI 0.59–0.81) were less likely to report consulting an endocrinologist during the past 12 months. Rural/regional respondents with T1DM were more than twice as likely to have accessed a community/practice nurse for diabetes care (RR 2.22, 95% CI 1.25–3.93) while those with T2DM were more likely to have accessed a diabetes educator (RR 1.21, 95% CI 1.07–1.36) or dietician (RR 1.17, 95% CI 1.07–1.36). For the T1DM and T2DM groups were no differences between rural/regional and metropolitan respondents in self-reported hypoglycaemic events during past week and the majority of self-care indicators.

Conclusions: Despite a lack of access to medical specialists, respondents with T1DM and T2DM living in rural/regional areas did not report worse health or self-care indicators. The results suggest that multidisciplinary primary services in rural areas may be providing additional care for people with diabetes, compensating for poor access to specialists.

Learning from rural planning development to encourage urban and regional planning ; indigenous villages versus city development in Bali province

The most important crises in the planning system is related to the significance of "capitalist state" influences [3]. In the global context, Bengs states that there is a matter partiality between "global capitalism" and "national democracy"[4]. Bengs stresses that planning is closely related to the economy of a country, which is in one side the government wants to reduce taxes, while on the other side there is a dilemma of the global and indefinite solicitation of assets. Hall (2002) discusses the problems of the city; those are city planning, history of planning, and geographical setting. City planning is not only planning in one region but also including the district around the city, such as river basin and a certain regional culture. The urban planner should involve all those aspects in the city planning. Friedmann (2003) distinguishes planning theory into three types. First, planning theory is related to planning in particular fields such as land utilization, transportation, urban design, regional development, environmental planning etc. Second, the type of theory related to planning tout court, and the third type is the theory about planning itself. Sanyal (2002) states that although planners have limited autonomy, their actions affect policy result [5]. Friedman (2003) supports Sanyal's argument stressing that planners learned from their actions not from theories.

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013

Background: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods: Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings: All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation: Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks.