Access to cardiac rehabilitation does not equate to attendance.

BACKGROUND/AIMS: Timely access to appropriate cardiac care is critical for optimizing positive outcomes after a cardiac event. Attendance at cardiac rehabilitation (CR) remains less than optimal (10%-30%). Our aim was to derive an objective, comparable, geographic measure reflecting access to cardiac services after a cardiac event in Australia. METHODS: An expert panel defined a single patient care pathway and a hierarchy of the minimum health services for CR and secondary prevention. Using geographic information systems a numeric/alpha index was modelled to describe access before and after a cardiac event. The aftercare phase was modelled into five alphabetical categories: from category A (access to medical service, pharmacy, CR, pathology within 1 h) to category E (no services available within 1 h). RESULTS: Approximately 96% or 19 million people lived within 1 h of the four basic services to support CR and secondary prevention, including 96% of older Australians and 75% of the indigenous population. Conversely, 14% (64,000) indigenous people resided in population locations that had poor access to health services that support CR after a cardiac event. CONCLUSION: Results demonstrated that the majority of Australians had excellent 'geographic' access to services to support CR and secondary prevention. Therefore, it appears that it is not the distance to services that affects attendance. Our 'geographic' lens has identified that more research on socioeconomic, sociological or psychological aspects to attendance is needed.

Learning from an epidemiological, population-based study on prescribed medicine use in adults.

OBJECTIVE: The aim of this study was to examine changes in the prevalence of use of prescribed medicines in Australian community samples. STUDY DESIGN AND SETTING: In this study, face-to-face interviews were carried out with random, representative samples of South Australian adults, aged ≥15 years. Data on self-reported use of prescribed medicines, most commonly reported categories of prescribed medicines and use of multiple medicines for common body systems were collected. It was not possible to distinguish between medicines prescribed for acute and chronic use. RESULTS: A total of 3015 respondents were interviewed in 2004 and 3034 in 2008, representing participation rates of 76% and 73%. There was no significant increase in the prevalence of use of ≥1 (46.8% vs 47.3%, p = 0.6) or ≥6 medicines (5.7% vs 5.5%, p = 0.7). In both years, the use of medicines was higher in women (56.7% vs 57.5%). On subgroup analyses, a significant reduction in the use of medicines was observed in respondents aged 15-24 (25.0% vs 18.5%, p = 0.01) and ≥65 years (87.7% vs 82.5%, p = 0.01), whereas use in those aged 35-44 years increased significantly (26.4% vs 33.6%, p = 0.01). The number of cardiovascular system agents (23.1% vs 24.6%, p = 0.20) and psychotropic medicines (9.8% vs 10.6%, p = 0.35) used by respondents remained unchanged while use of respiratory (7.2% vs 5.7%, p = 0.01) and musculoskeletal system medicines (8.7% vs 5.6% p= < 0.001) decreased significantly. CONCLUSIONS: In presenting what we believe is the first Australian population-based study to compare changes in prescribed medicines across the adult age spectrum, we highlight some key questions to ensure the quality use of medicines. Our findings identify a need to discuss de-prescribing, monitor practices to minimise adverse events and challenge if consumers and prescribers need to consider the costs to governments of medicines.

Have mental health education programs influenced the mental health literacy of those with major depression and suicidal ideation? A comparison between 1998 and 2008 in South Australia.

Mental health literacy is the knowledge and beliefs about mental disorders that aid their recognition, management, or prevention and is considered to be an important determinant of help-seeking. This has relevance in suicide prevention, as depression, the clinical condition most frequently associated with suicidality, has been the target of community and professional education programs designed to enhance mental health literacy. In this study, whether such programs have influenced help-seeking attitudes and behavior in those who are depressed and suicidal was considered. The results indicate that despite intensive community education programs over the last two decades, there has been little change in those who are depressed and suicidal in terms of their attitudes toward treatment seeking and, more importantly, their treatment-seeking behavior. These results draw into question the value of current community education programs for those most vulnerable to suicidal behavior.

Application of geographic modeling techniques to quantify spatial access to health services before and after an acute cardiac event: the Cardiac Accessibility and Remoteness Index for Australia (ARIA) project.

BACKGROUND: Access to cardiac services is essential for appropriate implementation of evidence-based therapies to improve outcomes. The Cardiac Accessibility and Remoteness Index for Australia (Cardiac ARIA) aimed to derive an objective, geographic measure reflecting access to cardiac services. METHODS AND RESULTS: An expert panel defined an evidence-based clinical pathway. Using Geographic Information Systems (GIS), the team developed a numeric/alphabetic index at 2 points along the continuum of care. The acute category (numeric) measured the time from the emergency call to arrival at an appropriate medical facility via road ambulance. The aftercare category (alphabetic) measured access to 4 basic services (family doctor, pharmacy, cardiac rehabilitation, and pathology services) when a patient returned to his or her community. The numeric index ranged from 1 (access to principal referral center with cardiac catheterization service ≤1 hour) to 8 (no ambulance service, >3 hours to medical facility, air transport required). The alphabetic index ranged from A (all 4 services available within a 1-hour drive-time) to E (no services available within 1 hour). The panel found that 13.9 million Australians (71%) resided within Cardiac ARIA 1A locations (hospital with cardiac catheterization laboratory and all aftercare within 1 hour). Those outside Cardiac 1A were overrepresented by people >65 years of age (32%) and indigenous people (60%). CONCLUSIONS: The Cardiac ARIA index demonstrated substantial inequity in access to cardiac services in Australia. This methodology can be used to inform cardiology health service planning and could be applied to other common disease states within other regions of the world.

Trends in health-related quality of life and health service use associated with comorbid diabetes and major depression in South Australia, 1998-2008.

PURPOSE: To investigate the trends in health-related quality of life and health service use associated with diabetes and/or major depression in South Australia from 1998 to 2008. METHODS: Data analyzed were from 9,059 persons aged ≥15 years who participated in representative surveys of the South Australian population in 1998, 2004 and 2008. Major depression was determined using the mood module of the Primary Care Evaluation of Mental Disorders (PRIME-MD). Diagnosed diabetes and health service use were determined by self-report. Health-related quality of life was assessed using the 36-item Short-Form Health Survey (SF-36) and the 15-item Assessment of Quality of Life (AQoL) instruments. Socio-demographics (including mental health literacy), arthritis, asthma, osteoporosis, and obesity covariates were determined by self-report. Weighted age-standardized and multiple covariate-adjusted means of dependent measures were computed. RESULTS: The prevalence of diabetes only, major depression only, and comorbid diabetes and major depression increased by 3.0 (74%), 2.6 (36%), and 0.4 (53%) percentage points, respectively, from 1998 to 2008. Mean health-related quality of life scores were 9 to 41% lower (worse), and health service use was 49% higher for persons with comorbid diabetes and major depression than for those with diabetes only (all P values <0.05) independent of all covariates, consistently over the 10-year period. CONCLUSIONS: If past trends continue, our results suggest that the increased population health and economic burden of comorbid diabetes and major depression could persist over the next decade or so. These trends have important implications for making health policy and resource allocation decisions.

Trends in health-related quality of life and health service use associated with body mass index and comorbid major depression in South Australia, 1998-2008.

PURPOSE: To investigate 10-year trends in health-related quality of life and health service use associated with body mass index (BMI) and comorbid major depression in South Australia. METHODS: Data were obtained from 9,059 people aged ≥ 15 years who participated in representative surveys of the South Australian population in 1998, 2004, and 2008. Major depression was determined using the mood module of the PRIME-MD. Health-related quality of life was assessed using the SF-36 and 15-item AQoL instruments. RESULTS: Mean health-related quality-of-life scores were 8-55% lower (worse), and health service use was 58-85% higher in all unhealthy BMI groups (underweight, overweight, and obesity) with major depression than in the healthy weight group independent of all covariates (socio-demographic and chronic medical conditions), consistently over the 10-year period. In contrast, only some unhealthy BMI groups without major depression had worse SF-36 physical component scores (overweight/obesity), AQoL scores (underweight/obesity), and health service use outcomes (overweight/obesity), and by only 2-6%. CONCLUSION: Comorbid major depression explained most of the excess health-related quality of life and health service use in people with unhealthy BMI, consistently from 1998 to 2008. Interventions and policies that can mitigate the persistent excess population health and economic burden of major depression are needed.

Comparing 3 methods of monitoring gentamicin concentrations in patients with febrile neutropenia.

Several nomograms and algorithms have been developed to individualize pharmacokinetic monitoring with their own advantages and disadvantages. This study compared 3 pharmacokinetic methods for predicting doses and monitoring of gentamicin in adult patients with febrile neutropenia. A retrospective study of 75 patients with febrile neutropenia was conducted at the Royal Adelaide Hospital, South Australia. Each patient received a course of once-daily gentamicin and had 2 sets of paired gentamicin serum concentrations. Pharmacokinetic parameters and ensuing doses were compared using 3 pharmacokinetic methods: (1) sequential Bayesian algorithm for gentamicin (SeBA-GEN), (2) Sawchuk-Zaske, and (3) Therapeutic Guidelines: Antibiotic Dose Adjustment Nomogram. The initial median (range) dose of gentamicin administered was 400 (240-640) mg. SeBA-GEN and Sawchuk-Zaske methods recommended similar subsequent gentamicin dose adjustments of 400 (280-640) mg and 400 (280-640) mg, respectively, whereas the Therapeutic Guidelines recommended an increase to 1390 (210-6240) mg. For the Therapeutic Guidelines, 64% of the patients had measured serum gentamicin concentrations that were below the minimum line of the nomogram for the first set of concentrations with only 32% of these patients having an area under the curve value of <70 mg h/L as calculated by SeBA-GEN. The SeBA-GEN method showed a statistically significant increase (68%-77%) in patients attaining the target concentrations of maximum concentration (Cmax) 15-25 mg/L compared with the Sawchuk-Zaske method (72%-65%, P > 0.05). SeBA-GEN also demonstrated greater precision in predicting the area under the curve, Cmax, and minimum concentration (Cmin) compared with the Sawchuk-Zaske method. In conclusion, as the Bayesian approach, that is, SeBA-GEN demonstrated greater precision and more patients were attaining the target concentrations, it is therefore the preferred method for gentamicin monitoring in patients with febrile neutropenia.

Changes in the prevalence of bipolar disorders between 1998 and 2008 in an Australian population.

OBJECTIVE: To identify any changes in the prevalence of bipolar disorder (BD) between 1998, 2004, and 2008. METHOD: Cross-sectional population-based surveys were conducted involving random and representative samples of South Australian adults aged ≥ 15 years. BD was assessed using the mood module of the Primary Care Evaluation of Mental Disorders instrument (PRIME-MD), a single question related to doctor-diagnosed BD and the Mood Disorder Questionnaire (MDQ), which defines bipolar spectrum disorder. RESULTS: The PRIME-MD-derived prevalence of BD increased significantly from 0.5% [95% confidence interval (CI): 0.27-0.79] in 1998 to 1.0% (95% CI: 0.61-1.31) in 2004 and 1.5% (95% CI: 1.05-1.91) in 2008, demonstrating a significant increased linear trend (χ² =13.91, df=2, p=0.002). Similarly, reported doctor-diagnosed BD increased significantly from 1.1% (95% CI: 0.75-1.51) in 1998 to 1.7% (95% CI: 1.26-2.18) in 2004 and 2.9% (95% CI: 2.28-3.48) in 2008 (Linear trend test χ²=24.55, df=2, p<0.001). The MDQ-derived diagnosis of bipolar spectrum disorder changed from 2.5% (95% CI: 1.96-3.08) in 2004 to 3.3% (95% CI: 2.66-3.94) in 2008 (χ² =3.22, df=1, p<0.10), but this difference did not attain statistical significance. Confining the analysis to those positive for BD on all three methods, there was a significant increase in the prevalence of the detection of BD using all three measures (χ² =4.43, df=1, p=0.03) between 2004 and 2008. CONCLUSIONS: There has been an increased prevalence of BD in South Australia over the last decade, but this may be related to changing diagnostic practices rather than a true increase.

Is a history of school bullying victimization associated with adult suicidal ideation?: a South Australian population-based observational study.

The objective of this research was to determine whether a history of school bullying victimization is associated with suicidal ideation in adult life. A random and representative sample of 2907 South Australian adults was surveyed in Autumn, 2008. Respondents were asked "When you were at school, did you experience traumatic bullying by peers that was particularly severe, for example, being frequently targeted or routinely harassed in any way by 'bullies'?" Depression was determined by the mood module of the PRIME-MD which includes a suicidal ideation question; "In the last 2 weeks, have you had thoughts that you would be better off dead or hurting yourself in some way?" The overall prevalence of suicidal ideation in postschool age respondents was 3.4% (95% confidence interval: 2.8%-4.2%) in 2008. Bullying by peers was recalled by 18.7% (17.2%-20.3%). Respondents with a history of being bullied were approximately 3 times (odds ratio: 3.2) more likely to report suicidal ideation compared with those who did not. The association between being bullied and suicidal ideation remained after controlling for both depression and sociodemographic variables (odds ratio: 2.1). The results from the present research suggest that there is a strong association between a history of childhood bullying victimization and current suicidal ideation that persists across all ages. Bullying prevention programs in schools could hold the potential for longer lasting benefits in this important area of public health.

Changes in the prevalence of major depression in an Australian community sample between 1998 and 2008.

OBJECTIVE: To identify changes in the prevalence of major depression between 1998, 2004 and 2008 in South Australia. METHODS: Face-to-face Health Omnibus surveys were conducted in 1998, 2004 and 2008 with approximately 3000 participants aged 15 years and over, who were random and representative samples of the South Australian population. Each survey used the same methodology. Outcome measures were: major depression as detected by the Mood module of the Primary Care Evaluation of Mental Disorders instrument; mental health literacy by recognition and exposure to classical symptoms of depression; and health status using the SF-36 Physical and Mental Component summaries. RESULTS: There was a significant increase in the prevalence of major depression from 6.8% (95%CI: 5.9%-7.7%) to 10.3% (95%CI: 9.2%-11.4%; χ² 24.59, p < 0.001) between 1998 and 2008. Significant increases were observed in males aged 15-29 and females aged 30-49 years. There was no significant increase in any other sub-group. The strongest predictor of major depression was health status. Participants with poor/fair mental health literacy were 37% less likely to be classified with major depression. CONCLUSIONS: The prevalence of major depression increased significantly in South Australia over the last decade and there was a reduction in mental health status and an increase in persons reporting poor health. Unexpectedly, having poor or fair mental health literacy was significantly protective for major depression. Ideally, public health initiatives should result in an improvement in health, but this did not appear to have occurred here.

Changes in depression-related mental health literacy in young men from rural and urban South Australia.

OBJECTIVE: To examine rural and urban differences in depression-related mental health literacy, experience of depression and help-seeking. DESIGN: Cross-sectional population-based survey stratified by rural and urban area. SETTING: A random and representative sample of South Australian rural and urban young men aged between 15 and 30 years. OUTCOME MEASURES: Mental health literacy as determined by recognition and exposure to classical symptoms of depression; perceived helpfulness of various interventions and treatment-seeking behaviour. RESULTS: Recognition of depression increased significantly in rural and urban young men between 1998 and 2008. More rural young men than urban men identified symptoms of depression in 1998 (odds ratio (OR): 1.53, 95% confidence interval (CI), 1.01-2.40, P < 0.05), but that was not evident in 2008 (OR: 1.32, 95% CI, 0.80-2.25, P = 0.30). Both groups were more likely to have a close friend experience symptoms of depression and to use antidepressant medications in 2008 compared with 1998. Rural young men experienced a significant increase in recognition of personal depressive symptoms (OR: 3.73, 95% CI, 1.72-8.40) and levels of confidence in psychiatrists and psychologists (OR: 2.40, 95% CI, 1.34-4.31) in 2008 compared with 1998. Both rural and urban young men were significantly less likely to rate dealing with problems on their own as helpful in 2008 as in 1998. CONCLUSIONS: There has been an increase in both rural and urban young male mental health literacy between 1998 and 2008, especially in rural young men. Whether this will translate into a reduction of depression and associated suicide, with a reversal of the rural/urban suicide differential, remains to be seen.

Rural and urban differentials in primary care management of chronic heart failure: new data from the CASE study.

OBJECTIVE: To determine whether primary care management of chronic heart failure (CHF) differed between rural and urban areas in Australia. DESIGN: A cross-sectional survey stratified by Rural, Remote and Metropolitan Areas (RRMA) classification. The primary source of data was the Cardiac Awareness Survey and Evaluation (CASE) study. SETTING: Secondary analysis of data obtained from 341 Australian general practitioners and 23 845 adults aged 60 years or more in 1998. MAIN OUTCOME MEASURES: CHF determined by criteria recommended by the World Health Organization, diagnostic practices, use of pharmacotherapy, and CHF-related hospital admissions in the 12 months before the study. RESULTS: There was a significantly higher prevalence of CHF among general practice patients in large and small rural towns (16.1%) compared with capital city and metropolitan areas (12.4%) (P < 0.001). Echocardiography was used less often for diagnosis in rural towns compared with metropolitan areas (52.0% v 67.3%, P < 0.001). Rates of specialist referral were also significantly lower in rural towns than in metropolitan areas (59.1% v 69.6%, P < 0.001), as were prescribing rates of angiotensin-converting enzyme inhibitors (51.4% v 60.1%, P < 0.001). There was no geographical variation in prescribing rates of beta-blockers (12.6% [rural] v 11.8% [metropolitan], P = 0.32). Overall, few survey participants received recommended "evidence-based practice" diagnosis and management for CHF (metropolitan, 4.6%; rural, 3.9%; and remote areas, 3.7%). CONCLUSIONS: This study found a higher prevalence of CHF, and significantly lower use of recommended diagnostic methods and pharmacological treatment among patients in rural areas.

A population view of mental illness in South Australia: broader issues than location.

INTRODUCTION: There is growing evidence in Australia and elsewhere to indicate that prevalence rates of mental illness are no higher in rural and remote areas than in urban areas. However, it is generally perceived that people from rural and remote areas are at heightened risk of mental illness, because many psychosocial determinants of health are magnified by factors related to remoteness. In this study we attempt to unpack the factors guiding prevalence rates of mental illness to determine if remoteness per se is an important determinant of mental illness. METHODS: Analysis of data from a cross-sectional, population-based, computer-assisted telephone interview survey in 2000. Respondents included 2545 South Australian adults, aged 18 years or more. The mental illness measure was self-reported, medically confirmed depression, anxiety or stress related problems in the previous 12 months and receiving treatment. Remoteness was determined using the Accessibility and Remoteness Index of Australia (ARIA). Psychosocial measures consisted of major stressful life events, perceived control of life events, socio-demographic characteristics and lifestyle behaviours. RESULTS: Unadjusted odds of mental illness were lower among residents of accessible and remote/very remote areas than for those from highly accessible areas (OR [odds ratio] 0.67, 95% CI 0.50-0.91 and OR 0.73, 0.54-1.00). After controlling for the joint effects of stressful life events, perceived control of life events, socio-demographic characteristics and lifestyle behaviors, odds of mental illness did not vary by ARIA category (highly accessible [reference category]; accessible: OR 0.90 95% CI 0.60-1.31; moderately accessible: OR 0.80, 95% CI 0.45-1.43; remote/very remote: OR 0.70, 95% CI 0.44-1.03). The most important predictors of mental illness in the multivariate logistic model were female sex; smoking; low consumption of vegetables; low exercise; a physical condition; perceived lack of control with life in general, personal life, job security or health; and major stressful events such as family or domestic violence and the death of someone close. CONCLUSIONS: Remoteness per se was not associated with mental illness, either directly or indirectly, as an important confounder in stressful life event/mental illness associations. Psychosocial factors were more important determinants of mental illness.

How does mental health status relate to accessibility and remoteness?

OBJECTIVE: To determine whether mental illness is associated with accessibility and remoteness. DESIGN: A cross-sectional, population-based, computer-assisted telephone interview survey, stratified by Accessibility and Remoteness Index of Australia (ARIA) categories. SETTING: Secondary analysis of data collected from 2545 South Australian adults in October and November 2000. OUTCOME MEASURES: Psychological distress and depression as determined by the Kessler 10 Psychological Distress Scale, the SF-12 measure of health status, and self-reported mental illness diagnosed by a doctor in the previous 12 months. RESULTS: Overall, mental illness prevalence estimates were similar using the three measures of psychological distress (10.5%), clinical depression (12.9%) and self-reported mental health problem (12.7%). For each measure, there was no statistically significant variation in prevalence across ARIA categories, except for a lower than expected prevalence of depression (7.7%) in the "accessible" category. There was no trend suggesting higher levels of mental illness among residents of rural and remote regions. CONCLUSIONS: The prevalence rates of psychological distress, depression and self-reported mental illness are high. However, we found no evidence that the prevalence of these conditions varies substantially across ARIA categories in South Australia. This finding may challenge existing stereotypes about higher levels of mental illness outside metropolitan Australia.

Does health service utilisation vary by remoteness? South Australian population data and the Accessibility and Remoteness Index of Australia.

OBJECTIVE: To compare rates of self-reported use of health services between rural, remote and urban South Australians. METHODS: Secondary data analysis from a population-based survey to assess health and well-being, conducted in South Australia in 2000. In all, 2,454 adults were randomly selected and interviewed using the computer-assisted telephone interview (CATI) system. We analysed health service use by Accessibility and Remoteness Index of Australia (ARIA) category. RESULTS: There was no statistically significant difference in the median number of uses of the four types of health services studied across ARIA categories. Significantly fewer residents of highly accessible areas reported never using primary care services (14.4% vs. 22.2% in very remote areas), and significantly more reported high use (> or =6 visits, 29.3% vs. 21.5%). Fewer residents of remote areas reported never attending hospital (65.6% vs. 73.8% in highly accessible areas). Frequency of use of mental health services was not statistically significantly different across ARIA categories. Very remote residents were more likely to spend at least one night in a public hospital (15.8%) than were residents of other areas (e.g. 5.9% for highly accessible areas). CONCLUSION: The self-reported frequency of use of a range of health services in South Australia was broadly similar across ARIA categories. However, use of primary care services was higher among residents of highly accessible areas and public hospital use increased with increasing remoteness. There is no evidence for systematic rural disadvantage in terms of self-reported health service utilisation in this State.