Socio-demographic factors drive regional differences in participation in the National Bowel Cancer Screening Program – An ecological analysis

© 2017 The Authors Objective: To examine if geographic variations in the participation rates in the National Bowel Cancer Screening Program (NBCSP) are related to population-level socio-demographic characteristics. Methods: Data reflecting participation in the NBCSP for 504 Local Government Areas (LGAs) between July 2011 and June 2013 were extracted from the Social Health Atlas of Australia. Logistic regression models were used to examine independent associations (odds ratios [ORs]) between participation, Remoteness Area (RA) and selected socio-demographic variables. Results: Compared to the participation rate for major cities (33.4%), participation was significantly higher in inner regional areas (36.5%, OR=1.15), but was much lower in remote (27.9%, OR=0.77) or very remote areas (25.0%, OR=0.65). When controlling for study period, gender, proportion of persons aged 65 years and older, Indigenous status, cultural background and socioeconomic status, significantly higher rates were observed in all non-metropolitan areas than in major cities. Indigenous status was strongly related to the poorer participation in remote areas. Conclusions: Socio-demographic characteristics, particularly Indigenous status, cultural background and population ageing, seem to be more important drivers of regional disparities in NBCSP participation than geographic remoteness. Implications for public health: This study provides important evidence to understand the regional disparities in participating in the national screening program

Past and projected trends of body mass index and weight status in South Australia:2003 to 2019

OBJECTIVE: Functional data analysis (FDA) is a forecasting approach that, to date, has not been applied to obesity, and that may provide more accurate forecasting analysis to manage uncertainty in public health. This paper uses FDA to provide projections of Body Mass Index (BMI), overweight and obesity in an Australian population through to 2019.  METHODS: Data from the South Australian Monitoring and Surveillance System (January 2003 to December 2012, n=51,618 adults) were collected via telephone interview survey. FDA was conducted in four steps: 1) age-gender specific BMIs for each year were smoothed using a weighted regression; 2) the functional principal components decomposition was applied to estimate the basis functions; 3) an exponential smoothing state space model was used for forecasting the coefficient series; and 4) forecast coefficients were combined with the basis function.  RESULTS: The forecast models suggest that between 2012 and 2019 average BMI will increase from 27.2 kg/m(2) to 28.0 kg/m(2) in males and 26.4 kg/m(2) to 27.6 kg/m(2) in females. The prevalence of obesity is forecast to increase by 6-7 percentage points by 2019 (to 28.7% in males and 29.2% in females).  CONCLUSIONS: Projections identify age-gender groups at greatest risk of obesity over time. The novel approach will be useful to facilitate more accurate planning and policy development

Aboriginal premature mortality within South Australia 1999-2006: a cross-sectional analysis of small area results

<p>Abstract</p> <p>Background</p> <p>This paper initially describes premature mortality by Aboriginality in South Australia during 1999 to 2006. It then examines how these outcomes vary across area level socio-economic disadvantage and geographic remoteness.</p> <p>Methods</p> <p>The retrospective, cross-sectional analysis uses estimated resident population by sex, age and small areas based on the 2006 Census, and Unit Record mortality data. Premature mortality outcomes are measured using years of life lost (YLL). Subsequent intrastate comparisons are based on indirect sex and age adjusted YLL results. A multivariate model uses area level socio-economic disadvantage rank, geographic remoteness, and an interaction between the two variables to predict premature mortality outcomes.</p> <p>Results</p> <p>Aboriginal people experienced 1.1% of total deaths but 2.2% of YLL and Aboriginal premature mortality rates were 2.65 times greater than the South Australian average. Premature mortality for Aboriginal and non-Aboriginal people increased significantly as area disadvantage increased. Among Aboriginal people though, a significant main effect for area remoteness was also observed, together with an interaction between disadvantage and remoteness. The synergistic effect shows the social gradient between area disadvantage and premature mortality increased as remoteness increased.</p> <p>Conclusions</p> <p>While confirming the gap in premature mortality rates between Aboriginal South Australians and the rest of the community, the study also found a heterogeneity of outcomes within the Aboriginal community underlie this difference. The results support the existence of relationship between area level socio-economic deprivation, remoteness and premature mortality in the midst of an affluent society. The study concludes that vertically equitable resourcing according to population need is an important response to the stark mortality gap and its exacerbation by area socio-economic position and remoteness.</p

Strategies for recruiting Hispanic women into a prospective cohort study of modifiable risk factors for gestational diabetes mellitus

BACKGROUND: The purpose of this article was to describe effective strategies for recruitment of Hispanic women into a prospective cohort study of modifiable risk factors for gestational diabetes mellitus (GDM). Although Hispanic women have two to four times the risk of developing GDM compared with non-Hispanic white women, few GDM prevention studies have included Hispanic women. METHODS: The study was conducted in the ambulatory obstetrical practices of Baystate Medical Center located in a socioeconomically and ethnically diverse city in Massachusetts. The study employed a range of strategies to recruit Hispanic women based on a review of the literature as well as prior experience with the study population. RESULTS: Over a period of 32 months, a total of 851 Hispanic prenatal care patients were recruited. Among eligible women, 52.4% agreed to participate. Participants were young (70% <25 years), with low levels of education, and on public health insurance (81.5%); 88% were unmarried. Study design features such as use of bilingual recruiters, a flexible recruitment process, training recruiters to be culturally sensitive, use of culturally tailored materials, prescreening participants, participant compensation, seeking the cooperation of clinic staff, and continuous monitoring of recruitment goals emerged as important issues influencing recruitment. CONCLUSIONS: Findings suggest that investigators can successfully recruit pregnant women from ethnic minority groups of low socioeconomic status into observational studies. The study provides culturally appropriate recruitment strategies useful for practice-based settings recruiting Hispanic research participation

The effectiveness of coordinated care for people with chronic respiratory disease

The document attached has been archived with permission from the editor of the Medical Journal of Australia (10 January 2008). An external link to the publisher’s copy is included.Objectives: To evaluate the effectiveness of coordinated care for chronic respiratory disease. Design and setting: Community-based geographical control study, in western (intervention) and northern (comparison) metropolitan Adelaide (SA). Participants: 377 adults (223 intervention; 154 comparison) with chronic obstructive pulmonary disease, asthma or other chronic respiratory condition, July 1997 to December 1999. Intervention: Coordinated care (includes care coordinator, care guidelines, service coordinator and care mentor). Main outcome measures: Hospital admissions (any, unplanned and respiratory), functionality (activities of daily living) and quality of life (SF-36 and Dartmouth COOP). Results: At entry to the study, intervention and comparison subjects were dissimilar. The intervention group was 10 years older (P < 0.001), less likely to smoke (P = 0.014), had higher rates of hospitalisation in the previous 12 months (P < 0.001) and had worse self-reported quality of life (SF-36 physical component summary score [P < 0.001] and four of nine COOP domains [P = 0.002–0.013]). After adjustment for relevant baseline characteristics, coordinated care was not associated with any difference in hospitalisation, but was associated with some improvements in quality of life (SF-36 mental component summary score [P = 0.023] and three of nine COOP domains [P = 0.008–0.031]) compared with the comparison group. Conclusions: Coordinated care given to patients with chronic respiratory disease did not affect hospitalisation, but it was associated with an improvement in some quality-of-life measures.Brian J Smith, Heather J McElroy, Richard E Ruffin, Peter A Frith, Adrian R Heard, Malcolm W Battersby, Adrian J Esterman, Peter Del Fante and Peter J McDonal

Standardized reporting using CODES (Crash Outcome Data Evaluation System)

DTNH-22-97-H-07282While CODES projects have expanded to 25 states, there is no standardized reporting of the outcome measures that are available with linked data. This paper describes our efforts to build a standard format for reporting these outcomes. This format is conceptualized by laying the injury \u201cpyramid\u201d on its side. Outcome measures are reported as columns across a page with increasing levels of severity from left to right. We discuss several aspects of format development including levels of reporting, specific outcome measures, rates, and selection of appropriate denominators. These simplified reports can be used to plan further studies or as a source of information for fact sheets for further dissemination. Examples of implementation of these reports are provided from the Maine CODES project

The current shortage and future surplus of doctors: a projection of the future growth of the Japanese medical workforce

<p>Abstract</p> <p>Background</p> <p>Starting in the late 1980s, the Japanese government decreased the number of students accepted into medical school each year in order to reduce healthcare spending. The result of this policy is a serious shortage of doctors in Japan today, which has become a social problem in recent years. In an attempt to solve this problem, the Japanese government decided in 2007 to increase the medical student quota from 7625 to 8848. Furthermore, the Democratic Party of Japan (DPJ), Japan's ruling party after the 2009 election, promised in their manifesto to increase the medical student quota to 1.5 times what it was in 2007, in order to raise the number of medical doctors to more than 3.0 per 1000 persons. It should be noted, however, that this rapid increase in the medical student quota may bring about a serious doctor surplus in the future, especially because the population of Japan is decreasing.</p> <p>The purpose of this research is to project the future growth of the Japanese medical doctor workforce from 2008 to 2050 and to forecast whether the proposed additional increase in the student quota will cause a doctor surplus.</p> <p>Methods</p> <p>Simulation modeling of the Japanese medical workforce.</p> <p>Results</p> <p>Even if the additional increase in the medical student quota promised by the DPJ fails, the number of practitioners is projected to increase from 286 699 (2.25 per 1000 persons) in 2008 to 365 533 (over the national numerical goal of 3.0 per 1000) in 2024. The number of practitioners per 1000 persons is projected to further increase to 3.10 in 2025, to 3.71 in 2035, and to 4.69 in 2050. If the additional increase in the medical student quota promised by the DPJ is realized, the total workforce is projected to rise to 392 331 (3.29 per 1000 persons) in 2025, 464 296 (4.20 per 1,000 persons) in 2035, and 545 230 (5.73 per 1000 persons) in 2050.</p> <p>Conclusions</p> <p>The plan to increase the medical student quota will bring about a serious doctor surplus in the long run.</p

Study protocol: Evaluating the impact of a rural Australian primary health care service on rural health

BACKGROUND: Rural communities throughout Australia are experiencing demographic ageing, increasing burden of chronic diseases, and de-population. Many are struggling to maintain viable health care services due to lack of infrastructure and workforce shortages. Hence, they face significant health disadvantages compared with urban regions. Primary health care yields the best health outcomes in situations characterised by limited resources. However, few rigorous longitudinal evaluations have been conducted to systematise them; assess their transferability; or assess sustainability amidst dynamic health policy environments. This paper describes the study protocol of a comprehensive longitudinal evaluation of a successful primary health care service in a small rural Australian community to assess its performance, sustainability, and responsiveness to changing community needs and health system requirements. METHODS/DESIGN: The evaluation framework aims to examine the health service over a six-year period in terms of: (a) Structural domains (health service performance; sustainability; and quality of care); (b) Process domains (health service utilisation and satisfaction); and (c) Outcome domains (health behaviours, health outcomes and community viability). Significant international research guided the development of unambiguous reliable indicators for each domain that can be routinely and unobtrusively collected. Data are to be collected and analysed for trends from a range of sources: audits, community surveys, interviews and focus group discussions. DISCUSSION: This iterative evaluation framework and methodology aims to ensure the ongoing monitoring of service activity and health outcomes that allows researchers, providers and administrators to assess the extent to which health service objectives are met; the factors that helped or hindered achievements; what worked or did not work well and why; what aspects of the service could be improved and how; what benefits have been realised and for whom; the level of community satisfaction with the service; and the impact of a health service on community viability. While the need to reduce the rural-urban health service disparity in Australia is pressing, the evidence regarding how to move forward is inadequate. This comprehensive evaluation will add significant new knowledge regarding the characteristics associated with a sustainable rural primary health care service