Resources Repository
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Tools/ModelsWeb Portal, Teaching Resource 2019Australia & New Zealand Health Intervention Interactive League Table
This interactive league table contains more than 800 Australian and New Zealand evaluations of public …
This interactive league table contains more than 800 Australian and New Zealand evaluations of public health intervention impacts on health gains (in quality/disability/health adjusted life years), health system costs and cost effectiveness. It allows users (policy-makers, researchers, health professionals, general public) to compare the health gains and costs associated with different interventions. The web portal provides access to a Users Guide and a Plain Language Summary of how to interpret table and graph outputs. Read the research…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Health/Medicine | Health Outcomes | Infectious Diseases | Chronic Disease/Risk | Mental Health | Health Systems | Asia & Pacific | Oceania | College | Graduate | Doctoral | Professional | Graphics/Visualization -
Tutorial/PrimerPublication, Teaching Resource 2016Cost per DALY Thresholds and Health Opportunity Costs
This policy brief aims to explain the cost per DALY threshold and the concepts of …
This policy brief aims to explain the cost per DALY threshold and the concepts of health opportunity costs, especially aimed at low and middle-income countries. The authors state that an assessment of health opportunity costs is required if the best use is to be made of health and healthcare resources. This requires an assessment of whether the improvement in health outcomes they offer exceeds the improvement in health that would have been possible if the…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Health/Medicine | Health Systems | Economics/Finance | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Tutorial/PrimerPublication, Teaching Resource 2015Educational Review of the Statistical Issues in Utility Data for CEA
The aim of cost-utility analysis is to support decision making in healthcare by providing a …
The aim of cost-utility analysis is to support decision making in healthcare by providing a standardized mechanism for comparing resource use and health outcomes across programmes of work. The focus of this review is the denominator of the cost-utility analysis, specifically the methodology and statistical challenges associated with calculating QALYs from patient-level data collected as part of a trial. The authors provide a brief description of the most common questionnaire used to calculate patient level…
Preferences/Values | Cost-Effectiveness Analysis | Health/Medicine | Health Outcomes -
ExerciseNone, Teaching Resource 2024Lab: Autoimmune Encephalitis Decision Tree Model
This tutorial walks through the development of a decision tree model based on a published …
This tutorial walks through the development of a decision tree model based on a published cost-effectiveness analysis of routine screening for autoimmune encephalitis in patients with first-episode psychosis in the United States based on the published article: Ross EL, Becker JE, Linnoila JJ, Soeteman DI. Cost-Effectiveness of Routine Screening for Autoimmune Encephalitis in Patients with First-Episode Psychosis in the United States. J Clin Psychiatry 2020; 82 (1): 19m13168. The tutorial describes how to build the…
Cost-Effectiveness Analysis | Health/Medicine | Mathematical Models | Decision Analysis | Clinical Care | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Probability/Bayes | Health/Medicine | Mathematical Models | Decision Analysis | Clinical Care | Graduate | Doctoral | Professional -
ExerciseNone, Teaching Resource 2024Lab: Giant Cell Arteritis Decision Tree Model
This tutorial walks through the development of a decision tree model focused on Giant Cell …
This tutorial walks through the development of a decision tree model focused on Giant Cell Arteritis. It describes how to build the model structure, assign probabilities and outcomes based on imperfect test characteristics and epidemiologic estimates, evaluate alternative treatment strategies, and conduct one-way sensitivity analyses to assess which model parameters may impact the optimal treatment choice. Amua, the Swahili word meaning “decide”/“solve”, is an open source modeling framework and probabilistic programming language for decision analysis…
Probability/Bayes | Health/Medicine | Mathematical Models | Decision Analysis | Clinical Care | Graduate | Doctoral | Professional -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Probability/Bayes | Health/Medicine | Test Performance | Infectious Diseases | Clinical Care | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Priority Setting/Ethics | Health/Medicine | Mathematical Models | Operations Research | Infectious Diseases | North America | Professional | Policy Translation -
Tutorial/PrimerPublication, Teaching Resource 2017Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software
This is a user guide on the analysis of data (including best-worst and best-best data) …
This is a user guide on the analysis of data (including best-worst and best-best data) generated from discrete-choice experiments (DCEs), comprising a theoretical review of the main choice models followed by practical advice on estimation and post-estimation. Authors also provide a review of standard software. Authors argue that choice of modelling approach depends on the research questions, study design and constraints in terms of quality/quantity of data and that decisions made in relation to analysis of…
Preferences/Values | Health/Medicine | Health Outcomes | Decision Analysis | Economics/Finance | Graduate | Doctoral | Professional | Quantitative Literacy