Resources Repository
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ArticlePublication 2016Challenges of Prioritization
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and …
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and diagnostics; in addition, the evidence base drawn on for evaluating such interventions is relatively good, given the medical research industry surrounding their testing. However, with increasing success in controlling infectious diseases, many of the health challenges facing countries concern broad threats to health with multiple causes, such as obesity, where the relationship between policy action and health benefit is not…
Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health Systems | Mental Health | Priority Setting/Ethics | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2022Comparing Health Gains, Costs & Cost-Effectiveness of Interventions in Australia & New Zealand
This paper synthesizes the health gains, costs, and cost-effectiveness of health interventions in Australia and New …
This paper synthesizes the health gains, costs, and cost-effectiveness of health interventions in Australia and New Zealand (NZ) from studies conducted with comparable methods, and reports results in the form of an online interactive league table. Studies from the Australia Cost-Effectiveness research and NZ Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programmes and studies were included which reported health-adjusted life years (HALYs) and net health system costs and/or incremental cost-effectiveness ratios, used a time horizon of…
Cost-Effectiveness Analysis | Health Systems | Mental Health | Priority Setting/Ethics | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Asia & Pacific | Oceania -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Mathematical Models | Decision Analysis | Health Systems | Government/Law | Health/Medicine | Global -
ArticlePublication 2019Health and Financial Benefits of Averting Malaria in Zambia: An ECEA
This study used the extended cost-effectiveness analysis (ECEA) to examine impact of the hypothetical rollout …
This study used the extended cost-effectiveness analysis (ECEA) to examine impact of the hypothetical rollout of the malaria vaccine RTS,S/AS01 in Zambia on the health benefits of children under five, and financial benefits on their households. The authors assumed a three-dose vaccination schedule (over 6-9 months), and vaccine cost of US$5 per dose. To assess vaccine impact, for each income quintile, they computed the number of under-five malaria deaths prevented, the household out-of-pocket (OOP) malaria-related…
Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Priority Setting/Ethics | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2018Resource Allocation in Decision Support Frameworks
Multi-criteria decision-making frameworks expand on typical decision analyses (cost-effectiveness and cost-benefit) by explicitly incorporating value …
Multi-criteria decision-making frameworks expand on typical decision analyses (cost-effectiveness and cost-benefit) by explicitly incorporating value tradeoffs from decision makers and summarizing the performance of investment options. This is done across all chosen dimensions of value, based on the weights provided by the decision makers, but comes at a cost. Currently there is no widely accepted method to suggest how to determine a budget constraint using multi-attribute models or to measure willingness to pay for incremental…
Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health Systems | Priority Setting/Ethics | Health/Medicine | Global -
ArticleWeb Portal 2017PLoS Collection: Prevention, Diagnosis and Treatment of Sexually Transmitted Infections
Globally, the World Health Organization (WHO) estimates that more than one million new sexually transmitted …
Globally, the World Health Organization (WHO) estimates that more than one million new sexually transmitted infections (STIs) occur each day, incurring a very substantial burden of morbidity, mortality and additional infections. The pathogens responsible include bacteria, parasites and viruses, and intensive research is needed to address the substantial barriers to diagnosis and treatment of STIs, and the behavioral challenges of prevention. This PLOS collection, published in collaboration with WHO, focuses on global policy and systems…
Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Priority Setting/Ethics | Costing Methods | Dynamic Transmission | Infectious Diseases | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2017Getting it Right When Budgets are Tight: Prioritizing Responses to HIV Epidemics
Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and …
Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and epidemiological outcomes. It can be difficult for countries to know which interventions to prioritize for greatest epidemiological impact, particularly when budgets are uncertain.The authors examined four case studies of HIV epidemics in diverse settings, each with different characteristics. These case studies were based on public data available for Belarus, Peru, Togo, and Myanmar. The Optima HIV model and software package…
Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Priority Setting/Ethics | Costing Methods | Infectious Diseases | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Cost-Effectiveness Analysis | Decision Analysis | Health Systems | Preferences/Values | Health Outcomes | Chronic Disease/Risk | Economics/Finance | Health/Medicine | North America | Europe -
ReviewPublication 2017Model-Based Economic Evaluation of Treatments for Depression: A Systematic Review
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies …
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies evaluating the cost-effectiveness of treatments for depression and examine the appropriateness of different modelling technique for simulating the natural course of depression. The review yielded 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the…
Mathematical Models | Cost-Effectiveness Analysis | Mental Health | State-Transition | Microsimulation | Health/Medicine