Environmental attributable fractions in remote Australia: the potential of a new approach for local public health action.

OBJECTIVES: To determine local values for environmental attributable fractions and explore their applicability and potential for public health advocacy. METHODS: Using World Health Organization (WHO) values for environmental attributable fractions, responses from a practitioner survey (73% response rate) were considered by a smaller skills-based panel to determine consensus values for Kimberley environmental attributable fractions (KEAFs). Applied to de-identified data from 17 remote primary healthcare facilities over two years, numbers and proportions of reasons for attendance directly attributable to the environment were calculated for all ages and children aged 0-4 years, including those for Aboriginal patients. RESULTS: Of 150,357 reasons for attendance for patients of all ages, 31,775 (21.1%) were directly attributable to the environment. The proportion of these directly due to the environment was significantly higher for Aboriginal patients than others (23.1% v 14.6%; p<0.001). Of 29,706 reasons for attendance by Aboriginal children aged 0-4 years, 7,599 (25.6%) were directly attributable to the environment, significantly higher than for non-Aboriginal children aged 0-4 years (25.6% v 18.6%; p<0.001). CONCLUSIONS: By addressing environmental factors, 20% of total primary healthcare demand could be prevented and, importantly, some 25% of presentations by Aboriginal children. IMPLICATIONS: KEAFs have potential to monitor impact of local environmental investments.

Factors influencing the speed of cancer diagnosis in rural Western Australia: a General Practice perspective.

INTRODUCTION: The speed of diagnosis impacts on prognosis and survival in all types of cancer. In most cases survival and prognosis are significantly worse in rural and remote Australian populations who have less access to diagnostic and therapeutic services than metropolitan communities in this country. Research suggests that in general delays in diagnosis were a factor of misdiagnosis, the confounding effect of existing conditions and delayed or misleading investigation of symptoms. The aim of this study is to further explore the factors that impact on the speed of diagnosis in rural Western Australia with direct reference to General Practitioners (GPs) working in this setting. METHODS: The methodology consisted of a structured discussion of specific cases. GPs based in two rural locations in Western Australia were asked to identify up to eight clinical cases for discussion. A diversity of cases was requested encompassing those with timely and delayed diagnosis of cancer. Focus groups were held with the practitioners to identify which factors under six headings delayed or facilitated the diagnosis in each case. A structured summary of the discussion was relayed to a wider group of GPs to seek additional views or comments on specific factors that impact on the speed of cancer diagnosis in rural and remote locations in Australia. RESULTS: A number of factors affecting the speed of diagnosis were identified: the demographic shift towards a frailer and older population, presenting with multiple and complex diseases, increases the challenge to identify early cancer symptoms; seasonal and demanding work patterns leading to procrastination in presenting for medical care; unhelpful scheduling of specialist appointments; and the varying impact of informal networks and social relationships. CONCLUSION: Within the limitations of this study we have generated a number of hypotheses that require formal evaluation: (1) GPs working within informal professional and social networks are better informed about their patients' health needs and have an advantage in making early diagnosis; (2) Despite the other differences in the population characteristics decentralising services would improve the prospect for timely diagnosis; and (3) Careful coordination of specialist appointments would improve the speed of diagnosis for rural patients.

Measuring dexterity in children using the Nine-hole Peg Test.

The purpose of this study was to measure dexterity in children aged 4-19 years using the Nine-hole Peg Test. Four hundred and six children were tested with their dominant hand and then their nondominant hand. A commercial version of the Nine-hole Peg Test was used. An analysis of variance showed a main effect for age, gender, and hand dominance. Speed of dexterity improved with age. In all age groups, females performed faster than males. Participants performed faster with the dominant hand than the nondominant hand. The normative data collected provide information for comparing scores to children with different diagnostic categories to screen for fine motor difficulties.