Kim-Huong Nguyen

Pressure injury in Australian public hospitals: a cost-of-illness study

OBJECTIVE Pressure injuries (PI) are largely preventable and can be viewed as an adverse outcome of a healthcare admission, yet they affect millions of people and consume billions of dollars in healthcare spending. The existing literature in Australia presents a patchy picture of the economic burden of PI on society and the health system. The aim of the present study was to provide a more comprehensive and updated picture of PI by state and severity using publicly available data. METHODS A cost-of-illness analysis was conducted using a prevalence approach and a 1-year time horizon based on data from the existing literature extrapolated using simulation methods to estimate the costs by PI severity and state subgroups. RESULTS The treatment cost across all states and severity in 2012-13 was estimated to be A

Equity and geography: the case of child mortality in Papua New Guinea.

983 million per annum, representing approximately 1.9% of all public hospital expenditure or 0.6% of the public recurrent health expenditure. The opportunity cost was valued at an additional A

Stagnant Neonatal Mortality and Persistent Health Inequality in Middle-Income Countries: A Case Study of the Philippines.

820 million per annum. These estimates were associated with a total number of 121 645 PI cases in 2012-13 and a total number of 524 661 bed days lost. CONCLUSIONS The costs estimated in the present study highlight the economic waste for the Australian health system associated with a largely avoidable injury. Wastage can also be reduced by preventing moderate injuries (Stage I and II) from developing into severe cases (Stage III and IV), because the severe cases, accounting for 12% of cases, mounted to 30% of the total cost.

How does progress towards the MDG 4 affect inequalities between different subpopulations? Evidence from Nepal

Background Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes and track progress towards Millennium Development Goal (MDG) 4. Methodology We performed retrospective data validation of the Demographic and Health Survey (DHS) 2006 using 2000 Census data, then applied advanced indirect methods to estimate under-five mortality rates between 1976 and 2000. Findings The DHS 2006 was found to be unreliable. Hence we used the 2000 Census to estimate under-five mortality rates at national and subnational levels. During the period under study, PNG experienced a slow reduction in national under-five mortality from approximately 103 to 78 deaths per 1,000 live births. Subnational analyses revealed significant disparities between rural and urban populations as well as inter- and intra-regional variations. Some of the provinces that performed the best (worst) in terms of under-five mortality included the districts that performed worst (best), with district-level under-five mortality rates correlating strongly with poverty levels and access to services. Conclusions The evidence from PNG demonstrates substantial within-province heterogeneity, suggesting that under-five mortality needs to be addressed at subnational levels. This is especially relevant in countries, like PNG, where responsibility for health services is devolved to provinces and districts. This study presents the first comprehensive estimates of under-five mortality at the district level for PNG. The results demonstrate that for countries that rely on few data sources even greater importance must be given to the quality of future population surveys and to the exploration of alternative options of birth and death surveillance.

Disparities in child mortality trends: what is the evidence from disadvantaged states in India? the case of Orissa and Madhya Pradesh.

Background The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country’s socioeconomic-related child health inequality. Methodology Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Findings Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. Conclusion The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality – that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system – to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child health.

A Framework for the Economic Analysis of Data Collection Methods for Vital Statistics

Background Few previous studies have examined non-wealth-based inequalities in child mortality within developing countries. This study estimates changes in under-5-year-olds and neonatal mortality in Nepal across a range of subnational levels, which allows us to assess the degree of equity in Nepals progress towards Millennium Development Goal 4. Methods Direct estimates of under-5-year-olds and neonatal death rates were generated for 1990–2005 using three Demographic and Health Surveys and two Living Standards Surveys by the following levels: national, rural/urban location, ecological region, development region, ethnicity and wealth. Absolute and relative inequalities were measured by rate differences and rate ratios, respectively. Additionally, wealth-related inequality was calculated using slope and relative indexes of inequality and concentration indices. Results Estimates suggest that while most rates of under-5-year-olds and neonatal mortality have declined across the different equity markers, leading to a downward trend in absolute inequalities, relative inequalities appear to have remained stable over time. The decline in absolute inequalities is strongest for under-5-year-olds’ mortality, with no statistically significant trend in either relative or absolute inequalities found for neonatal mortality. A possible increase in inequalities, at least in relative terms, was found across development regions, where death rates remain high in the mid-western region. Conclusions By 2015, our estimates suggest that more than 65% of deaths of under-5-year-olds will occur in the neonatal period, with stable trends in neonatal mortality inequalities. These findings along with the fact that health outcomes for neonates are more highly dependent on health systems, suggest further equitable reductions in under-5-year-olds mortality will require broad health-system strengthening, with a focus on the improvement of healthcare services provided for mothers and newborns. Other inequities suggest continued special attention for vulnerable subpopulations is warranted, particularly to overcome social exclusion and financial barriers to care in urban areas.

Cost-Effectiveness of Repetitive Transcranial Magnetic Stimulation versus Antidepressant Therapy for Treatment-Resistant Depression.

IntroductionThe Millennium Development Goals prompted renewed international efforts to reduce under-five mortality and measure national progress. However, scant evidence exists about the distribution of child mortality at low sub-national levels, which in diverse and decentralized countries like India are required to inform policy-making. This study estimates changes in child mortality across a range of markers of inequalities in Orissa and Madhya Pradesh, two of India’s largest, poorest, and most disadvantaged states.MethodsEstimates of under-five and neonatal mortality rates were computed using seven datasets from three available sources – sample registration system, summary birth histories in surveys, and complete birth histories. Inequalities were gauged by comparison of mortality rates within four sub-state populations defined by the following characteristics: rural–urban location, ethnicity, wealth, and district.ResultsTrend estimates suggest that progress has been made in mortality rates at the state levels. However, reduction rates have been modest, particularly for neonatal mortality. Different mortality rates are observed across all the equity markers, although there is a pattern of convergence between rural and urban areas, largely due to inadequate progress in urban settings. Inter-district disparities and differences between socioeconomic groups are also evident.ConclusionsAlthough child mortality rates continue to decline at the national level, our evidence shows that considerable disparities persist. While progress in reducing under-five and neonatal mortality rates in urban areas appears to be levelling off, polices targeting rural populations and scheduled caste and tribe groups appear to have achieved some success in reducing mortality differentials. The results of this study thus add weight to recent government initiatives targeting these groups. Equitable progress, particularly for neonatal mortality, requires continuing efforts to strengthen health systems and overcome barriers to identify and reach vulnerable groups.

Cost-Effectiveness Analysis of a Mobile Ear Screening and Surveillance Service versus an Outreach Screening, Surveillance and Surgical Service for Indigenous Children in Australia

Background Over recent years there has been a strong movement towards the improvement of vital statistics and other types of health data that inform evidence-based policies. Collecting such data is not cost free. To date there is no systematic framework to guide investment decisions on methods of data collection for vital statistics or health information in general. We developed a framework to systematically assess the comparative costs and outcomes/benefits of the various data methods for collecting vital statistics. Methodology The proposed framework is four-pronged and utilises two major economic approaches to systematically assess the available data collection methods: cost-effectiveness analysis and efficiency analysis. We built a stylised example of a hypothetical low-income country to perform a simulation exercise in order to illustrate an application of the framework. Findings Using simulated data, the results from the stylised example show that the rankings of the data collection methods are not affected by the use of either cost-effectiveness or efficiency analysis. However, the rankings are affected by how quantities are measured. Conclusion There have been several calls for global improvements in collecting useable data, including vital statistics, from health information systems to inform public health policies. Ours is the first study that proposes a systematic framework to assist countries undertake an economic evaluation of DCMs. Despite numerous challenges, we demonstrate that a systematic assessment of outputs and costs of DCMs is not only necessary, but also feasible. The proposed framework is general enough to be easily extended to other areas of health information.

Disparities in child mortality trends in two new states of India

BACKGROUND Repetitive transcranial magnetic stimulation (rTMS) therapy is a clinically safe, noninvasive, nonsystemic treatment for major depressive disorder. OBJECTIVE We evaluated the cost-effectiveness of rTMS versus pharmacotherapy for the treatment of patients with major depressive disorder who have failed at least two adequate courses of antidepressant medications. METHODS A 3-year Markov microsimulation model with 2-monthly cycles was used to compare the costs and quality-adjusted life-years (QALYs) of rTMS and a mix of antidepressant medications (including selective serotonin reuptake inhibitors, serotonin and norepinephrine reuptake inhibitors, tricyclics, noradrenergic and specific serotonergic antidepressants, and monoamine oxidase inhibitors). The model synthesized data sourced from published literature, national cost reports, and expert opinions. Incremental cost-utility ratios were calculated, and uncertainty of the results was assessed using univariate and multivariate probabilistic sensitivity analyses. RESULTS Compared with pharmacotherapy, rTMS is a dominant/cost-effective alternative for patients with treatment-resistant depressive disorder. The model predicted that QALYs gained with rTMS were higher than those gained with antidepressant medications (1.25 vs. 1.18 QALYs) while costs were slightly less (AU

Developing a dementia-specific preference--based quality of life measure (AD-5D) in Australia: a valuation study protocol

31,003 vs. AU