Resources Repository
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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 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 2020Online Competition between Pro- and Anti-Vaccination Views
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, …
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks as happened for measles in 2019. Homemade remedies and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice. There is a lack of understanding about how this distrust evolves at the system level. Authors provide a map of the contention surrounding vaccines that has…
Decision Psychology | Health Systems | Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Government/Law | Health/Medicine | Science/Technology | North America -
NewsPublication 2020Managing the COVID-19 Infodemic: Promoting Healthy Behaviors and Mitigating the Harm from Misinformation and Disinformation
The COVID-19 pandemic is the first in history in which technology and social media are …
The COVID-19 pandemic is the first in history in which technology and social media are being used on a massive scale to keep people safe, informed, productive, and connected. At the same time, the technology we rely on to keep connected and informed enables and amplifies an infodemic that continues to undermine the global response and jeopardizes measures to control the pandemic. This description was adapted from the joint statement.
Decision Psychology | Health Systems | Preferences/Values | Infectious Diseases | Social Determinants | Global Governance | Culture/Society | Government/Law | Health/Medicine | Science/Technology | Global -
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…
Probability/Bayes | Clinical Care | 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…
Probability/Bayes | Clinical Care | Test Performance | Technology Assessment | Infectious Diseases | Health/Medicine | Science/Technology -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Probability/Bayes | Health Systems | Test Performance | Technology Assessment | Infectious Diseases | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
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…
Probability/Bayes | Clinical Care | Test Performance | Infectious Diseases | Health/Medicine -
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 | Clinical Care | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy