Measuring Health Loss in Australia: the Australian Burden of Disease Study

Moon, Lynelle; Garcia, Julianne; Laws, Paula; Dunford, Melanie; On, Miriam Lum; Bishop, Karen; Prescott, Vanessa; Gourley, Michelle

doi:10.3346/jkms.2019.34.e61

Cited by 6 publications

(11 citation statements)

References 3 publications

(5 reference statements)

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“…9,10 Mental and substance use disorders are the third most common disease/illness and account for almost 12% of the total disease burden in Australia. 11 The prevalence of mental disorders were fairly stable in between 2001 and 2014, but the cost and level of disability associated with mental disorder is rising in Australia. 12 Efficient resource allocation strategies are necessary to account for these rising costs.…”

Section: Purposementioning

confidence: 99%

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

et al. 2020

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Purpose: To present the prevalence of 3 broad categories of mental disorder (anxiety-related, affective and other disorders) by socioeconomic status and examine the associated socioeconomic risk factors of mental disorders in Australia. Design: A population-based, cross-sectional national health survey on mental health and its risk factors across Australia. Setting: National Health Survey (NHS), 2017-2018 conducted by the Australian Bureau of Statistics (ABS) Participants: Under aged: 4,945 persons, Adult: 16,370 persons and total: 21,315 persons Measures: Patient-reported mental disorder outcomes Analysis: Weighted prevalence rates by socioeconomic status (equivalised household income, education qualifications, Socio-Economic Index for Areas (SEIFA) scores, labor force status and industry sector where the adult respondent had their main job) were estimated using cross-tabulation. Logistic regression utilizing subsamples of underage and adult age groups were analyzed to test the association between socioeconomic status and mental disorders. Results: Anxiety-related disorders were the most common type of disorders with a weighted prevalence rate of 20.04% (95% CI: 18.49-21.69) for the poorest, 13.85% (95% CI: 12.48-15.35) for the richest and 16.34% (95% CI: 15.7-17) overall. The weighted prevalence rate for mood/affective disorders were 20.19% (95% CI: 18.63-21.84) for the poorest, 9.96% (95% CI: 8.79-11.27) for the richest, and 13.57% (95% CI: 12.99-14.17) overall. Other mental disorders prevalence were for the poorest: 9.07% (95% CI: 7.91-10.39), the richest: 3.83% (95% CI: 3.14-4.66), and overall: 5.93% (95% CI: 5.53-6.36). These patterns are also reflected if all mental disorders were aggregated with the poorest: 30.97% (95% CI: 29.15-32.86), the richest: 19.59% (95% CI: 18.02-21.26), and overall: 23.93% (95% CI: 23.19-24.69). The underage logistic regression model showed significant lower odds for the middle (AOR: 0.75, 95% CI: 0.53 -1.04, p < 0.1), rich (AOR: 0.71, 95% CI: 0.5-0.99, p < 0.05) and richest (AOR: 0.6, 95% CI: 0.41-0.89, p < 0.01) income groups. Similarly, in the adult logistic model, there were significant lower odds for middle (AOR: 0.84, 95% CI: 0.72-0.98, p < 0.05), rich (AOR: 0.73, 95% CI: 0.62-0.86, p < 0.01) and richest (AOR: 0.76, 95% CI: 0.63-0.91, p < 0.01) income groups. Conclusion: The prevalence of mental disorders in Australia varied significantly across socioeconomic groups. Knowledge of different mental health needs in different socioeconomic groups can assist in framing evidence-based health promotion and improve the targeting of health resource allocation strategies.

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Section: Purposementioning

confidence: 99%

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

et al. 2020

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“…Eligible patients will be recruited in the waiting room of the RAC clinic in cooperation with clinic staff who will advise if patients meet exclusion criteria (1) or (2). Trained staff will explain the study to potential participants.…”

Section: Recruitment and Consentmentioning

confidence: 99%

“…The major risk factors for cardiovascular disease (CVD) are considered the largest contributors to global disease burden, 1 and coronary heart disease is the single leading cause of death in Australia. 2 Low survival rates for out of hospital cardiac arrest is also an important contributor to CVD mortality. 3 4 Low educational attainment and poor health literacy have consistently been associated with higher CVD risk, 5 and the development of educational interventions to support people at risk of CVD is a priority area across many peak CVD health bodies globally.…”

Section: Introductionmentioning

confidence: 99%

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While you’re waiting, a waiting room-based, cardiovascular disease-focused educational program: protocol for a randomised controlled trial

2020

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IntroductionPatients with cardiovascular disease (CVD) frequently attend outpatient clinics and spend a significant amount of time in waiting rooms. Currently, this time is poorly used. This study aims to investigate whether providing CVD and cardiopulmonary resuscitation (CPR) education to waiting patients in a cardiology clinic of a large referral hospital improves motivation to change health behaviours, CPR knowledge, behaviours and clinic satisfaction post clinic, and whether there is any impact on reported CVD lifestyle behaviours or relevant CPR outcomes at 30 days.Methods and analysisRandomised controlled trial with parallel design to be conducted among 330 patients in the waiting room of a chest pain clinic in a tertiary referral hospital. Intervention (n=220) participants will receive a tablet-delivered series of educational videos catered to self-reported topics of interest (physical activity, blood pressure, diet, medications, smoking and general health) and level of health knowledge. Control (n=110) participants will receive usual care. In a substudy, intervention participants will be randomised 1:1 to receive an extra video on CPR or no extra video. The primary outcome will be the proportion of intervention and control participants who report high motivation to improve physical activity, diet and blood pressure monitoring at end of clinic. The primary outcome of the CPR study will be confidence to perform CPR post clinic. Secondary analysis will examine impact on clinic satisfaction, lifestyle behaviours, CPR knowledge and willingness to perform CPR post clinic and at 30-day follow-up.Ethics and disseminationEthics approval has been received from the Western Sydney Local Health District Human Research Ethics Committee. All patients will provide informed consent via a tablet-based eConsent framework. Study results will be disseminated via the usual channels including peer-reviewed publications and presentations at national and international conferences.Trial registration numberANZCTR12618001725257.

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“…Under the collaboration between the Institute of Health Metrics and Evaluation and the World Health Organization, the GBD has since undergone annual updates and several methodological changes, with the latest iteration investigating the health effects of 369 diseases and injuries in 204 countries in 2019 [16,17]. Countries have also adopted DALYs to estimate their nation's overall and cause-specific disease burden [18][19][20][21][22][23][24], often projecting the future burden of diseases to aid policy making and clinical service planning [25][26][27]. Note that despite many settings adopting DALYs as a metric, methodological choices frequently differed to address disparities in data availability and quality across countries and diseases [28].…”

Section: Introductionmentioning

confidence: 99%

Disability-adjusted life years associated with chronic comorbidities among people living with and without HIV: Estimating health burden in British Columbia, Canada

Nanditha

Zhu

Wang

et al. 2022

PLOS Glob Public Health

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Life span of people living with HIV (PLWH) has increased dramatically with the advent of modern antiretroviral therapy. As a result, comorbidities have emerged as a significant concern in this population. To describe the burden of chronic comorbidities among PLWH and HIV-negative individuals in British Columbia (BC), Canada, we estimated disability-adjusted life years (DALYs) related to these comorbidities. Based on a population-based cohort in BC, antiretroviral-treated adult PLWH and 1:4 age-sex-matched HIV-negative controls were followed for ≥1 year during 2001–2012. DALYs combined years of life lost to premature mortality (YLLs) and due to disability (YLDs), and were estimated following the Global Burden of Diseases’ approaches. DALYs associated with non-AIDS-defining cancers, diabetes, osteoarthritis, hypertension, dementia, cardiovascular (CVD), kidney, liver and chronic obstructive pulmonary diseases were each measured for 2008–2012. Among PLWH, DALYs attributed to non-AIDS-related cancers were also estimated for 2013–2020. We observed that at baseline, our matched cohort consisted of 82% males with a median age of 40 years (25th-75th percentiles: 34–47). During 2008–2012, 7042 PLWH and 30,640 HIV-negative individuals were alive, where PLWH experienced a twofold higher DALYs associated with chronic comorbidities (770.2 years/1000 people [95% credible intervals: 710.2, 831.6] vs. 359.0 [336.0, 382.2]). Non-AIDS-defining cancers and CVD contributed the highest DALYs in both populations, driven by YLLs rather than YLDs. Among PLWH, we estimated increasing DALYs attributable to non-AIDS-defining cancers with 91.7 years/1000 people (77.4, 106.0) in 2013 vs. 97.6 (81.0, 115.2) in 2020. In this study, we showed that PLWH experience a disproportionate burden of chronic comorbidities compared to HIV-negative individuals. The observed disparities may relate to differential health behaviors, residual HIV-related inflammation, and ART-related toxicities. As aging shapes future healthcare needs, our findings highlight the need to enhance prevention and management of comorbidities as part of HIV care.

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Measuring Health Loss in Australia: the Australian Burden of Disease Study

Cited by 6 publications

References 3 publications

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

While you’re waiting, a waiting room-based, cardiovascular disease-focused educational program: protocol for a randomised controlled trial

Disability-adjusted life years associated with chronic comorbidities among people living with and without HIV: Estimating health burden in British Columbia, Canada

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