Resources Repository
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ArticlePublication 2023Valuing Mortality Risk: Per Life, Life Year, or QALY?
It is important to consider age and other relevant factors when assessing the value associated …
It is important to consider age and other relevant factors when assessing the value associated with reducing risks to ensure a comprehensive and accurate understanding of its impact. In a recent paper, it is explained that the value of risk reduction, whether it is a temporary or persistent reduction, can be defined using the "value per statistical life" (VSL), "value per statistical life year" (VSLY), or "value per quality-adjusted life year" (VQALY).
Risk Analysis | Preferences/Values | Benefit-Cost Analysis | Cost-Effectiveness Analysis -
ArticlePublication 2022Economic Value of Clinical Artificial Intelligence
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around …
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around collecting data on its clinical impacts make value assessment challenging. This article uses a value framework as the basis for assessing how AI may create value depending on how it is used. Authors also provide advice to health economists seeking to model AI’s clinical impacts. There are multiple ways that AI challenges traditional health technology assessment methodology. Authors highlight several…
Value of Information | Technology Assessment | Economics/Finance | Science/Technology | Global -
ArticlePublication 2022Hospital Closures amid COVID-19
The recent trend of hospital closures in the US has accelerated during the COVID-19 pandemic, …
The recent trend of hospital closures in the US has accelerated during the COVID-19 pandemic, as hospitals have experienced financial hardship from reduced patient volume and elective surgery cases, as well as the thin financial margins for treating patients with COVID-19. This trend of hospital closures is concerning for patients, healthcare providers, and policymakers. This current opinion piece describes the challenges caused by hospital closures and discusses what policymakers should know based on the existing…
Operations Research | Health Systems | Health/Medicine | North America -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Operations Research | Mathematical Models | Chronic Disease/Risk | Health/Medicine | North America -
ArticlePublication 2021Employee Health Plans Powered by Analytics
This article describes a business model for the employee health plans of large firms to …
This article describes a business model for the employee health plans of large firms to bypass insurers and instead use direct contracts with hospitals which have been designated as centers of excellence. The authors propose methods of machine learning and data analytics to identify efficient and effective delivery systems, with the ultimate goal of improving health care quality.
Operations Research | Health Systems | North America -
ArticlePublication 2022Vaccinations versus Lockdowns to Prevent COVID-19 Mortality
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly …
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly available datasets from the Israeli Ministry of Health were used to model the parameters of the pandemic in Israel. The Oxford COVID-19 Government Response Tracker was used for quantitative data on government policies. Data on the Israeli economy were taken from the Central Bureau of Statistics. The models demonstrate that the first lockdown prevented 1022 COVID-19 deaths at the cost…
Decision Theory | Costing Methods | Health Outcomes | State-Transition | Decision Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Middle East & North Africa -
ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
Value of Information | State-Transition | Benefit-Cost Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | North America | Europe -
ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Calibration/Validation | Mathematical Models | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Global -
ArticlePublication 2019Estimation of Eating Disorders Prevalence by Age and Associations with Mortality in a Simulated Nationally Representative U.S. Cohort
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, …
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, and estimates the association of increased treatment coverage with ED-related mortality. Using an individual-level Markov state transition model calibrated to nationally-representative US survey data from 2007 and 2011, the authors simulated a virtual cohort of 100,000 individuals (50% male) from birth to age 40 years and modelled 4 ED diagnoses: anorexia nervosa, bulimia nervosa, binge eating disorder, and other specified…
Calibration/Validation | Health Outcomes | Microsimulation | Child/Nutrition | Mental Health | North America