Resources Repository
-
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…
Chronic Disease/Risk | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Mental Health | Health Systems | Health/Medicine | Asia & Pacific | Oceania -
ArticlePublication 2022Duration & Cost-Effectiveness of Hepatocellular Carcinoma Surveillance in Hepatitis C Patients After Viral Eradication
This study assesses the cost-effectiveness of biannual surveillance for hepatocellular carcinoma (HCC) in patients cured …
This study assesses the cost-effectiveness of biannual surveillance for hepatocellular carcinoma (HCC) in patients cured of hepatitis C virus (HCV) using oral direct-acting antivirals (DAAs). A microsimulation model of HCC natural history in individuals with HCV-related advanced fibrosis or cirrhosis post-DAAs was developed, integrating data on HCC incidence, tumor progression, surveillance adherence, and health state costs/utilities. Biannual ultrasound and alpha-fetoprotein surveillance were compared to no surveillance over varying durations (5 years to lifetime). Results indicate…
Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Health/Medicine | North America -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Chronic Disease/Risk | Mathematical Models | Infectious Diseases | Health/Medicine -
ArticlePublication 2022Cost-Effectiveness of Screening for Atrial Fibrillation Using Wearable Devices
This economic evaluation assesses the cost-effectiveness of atrial fibrillation (AF) screening strategies, particularly utilizing wrist-worn …
This economic evaluation assesses the cost-effectiveness of atrial fibrillation (AF) screening strategies, particularly utilizing wrist-worn wearable devices, to prevent strokes. Conducted using a microsimulation decision-analytic model, the study spans from September 8, 2020, to May 23, 2022, incorporating 30 million simulated individuals representative of the US population aged 65 years or older. Eight screening strategies, including six employing wrist-worn devices and two using traditional methods, were compared against no screening. Results indicate that all wrist-worn…
Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Health/Medicine | North America -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Clinical Care | Health Outcomes | Evidence Synthesis | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine | Science/Technology | North America -
ArticlePublication 2021Alleviating the Burden of Diabetes with Health Equity Funds: Economic Evaluation of the Health & Financial Risk Protection Benefits in Cambodia
This study examines the potential distributional health and financial impacts of implementing strategies to provide …
This study examines the potential distributional health and financial impacts of implementing strategies to provide financial coverage for diabetes services through Health Equity Funds (HEF) in Cambodia. Utilizing a Markov model, the trajectory of diabetes is projected over a 45-year period to estimate societal costs, health outcomes, and individual out-of-pocket expenditures associated with six HEF coverage strategies. Input parameters are derived from published literature and household survey data. Strategies covered different combinations of types of…
Chronic Disease/Risk | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Health/Medicine | Asia & Pacific -
ArticlePublication 2020Testing for SARS-CoV-2 Antibodies
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made antibody testing available to anyone wanting it, even if there is no clinical indication. The purpose of this article is to provide guidance for when to consider antibody testing in individuals with and without symptoms suggestive of current or past SARS-CoV-2 infection. Key points made by the authors include: (1) antibody testing is likely to be most useful 2 weeks…
Clinical Care | Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Health/Medicine -
ToolInteractive 2020COVID-19 Antibody Tests: Calculator for Interpreting Test Results
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article below* on antibody testing for SARS-CoV-2 virus, allows users to vary the prior probability of infection, the sensitivity of SARS-CoV-2 antibody testing, and the specificity of SARS-CoV-2 antibody testing. Key points made in the article accompanying the interactive include: (1) antibody testing is likely to be most useful 2 weeks after infection, (2) sensitivity and specificity will vary over time and…
Clinical Care | Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Health/Medicine | Science/Technology -
ArticlePublication 2020Bayes' Theorem, COVID-19, and Screening Tests
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain …
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain reaction (rRT-PCR) through the application of Bayes’ Theorem for three hypothetical, stylized case scenarios. The scenarios involve three patients with a low, moderate, and high pre-test probability of COVID-19 infection. The category of low probability would include "asymptomatic individuals in a presumed low prevalence environment" and might vary from 10 to 20%. The category of moderate probability would include "individuals…
Clinical Care | Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine