Resources Repository
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ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Calibration/Validation | North America | Policy/Regulation | Chronic Disease/Risk | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Health Systems | Clinical Care | Economics/Finance | Health/Medicine -
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 | North America | Chronic Disease/Risk | Mathematical Models | Health/Medicine -
ArticlePublication 2019Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories …
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI) in the United States. Self-reported BMI from the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias. Multinomial regressions were then fitted for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI <25), overweight (25 to…
Calibration/Validation | North America | Chronic Disease/Risk | Health Outcomes | Mathematical Models | Social Determinants -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Calibration/Validation | North America | Chronic Disease/Risk | Health Outcomes | Microsimulation | Social Determinants -
ArticlePublication 2021Identifying Credible Sources of Health Information in Social Media: Principles and Attributes
Social media is widely used as a source of health information for the general public. …
Social media is widely used as a source of health information for the general public. The potential for information shared through social media to influence health outcomes necessitates action by social media platforms to enhance access and exposure to high-quality, science-based information. This paper summarizes the work of an independent advisory group convened by the National Academy of Medicine that deliberated and gathered information to develop a set of initial principles and attributes that could…
Decision Psychology | North America | Policy/Regulation | Preferences/Values | Social Determinants | Culture/Society | Education/Labor | Health/Medicine | Science/Technology -
ArticlePublication 2021Scientific Theory of Gist Communication and Misinformation Resistance
This article presents a framework for understanding how misinformation shapes decision-making, which has cognitive representations …
This article presents a framework for understanding how misinformation shapes decision-making, which has cognitive representations of gist at its core. The author discusses how the framework goes beyond prior work, and how it can be implemented so that valid scientific messages are more likely to be effective, remembered, and shared through social media, while misinformation is resisted. The distinction between mental representations of the rote facts of a message – its verbatim representation – and…
Decision Psychology | North America | Policy/Regulation | Preferences/Values | Social Determinants | Culture/Society | Health/Medicine | Science/Technology -
Online LearningVideo, Teaching Resource 2021Reporting on COVID-19 Vaccines at the Intersection of Science and Politics
Journalists play a vital role in communicating to the public about COVID-19 vaccines, and currently …
Journalists play a vital role in communicating to the public about COVID-19 vaccines, and currently under challenging circumstances. The science surrounding COVID-19 is rapidly changing, vaccines have been developed at “warp speed” using a new approach, and misinformation is on the rise. Moreover, current and historical injustices and inequities, as well as heightened political polarization, affect what information is consumed, trusted, and acted upon. This webinar offers an opportunity for members of the media to…
Decision Psychology | North America | Policy/Regulation | Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine | Science/Technology -
ArticlePublication 2021Measuring the News and Its Impact on Democracy
Since the 2016 U.S. presidential election, the deliberate spread of misinformation online, and on social …
Since the 2016 U.S. presidential election, the deliberate spread of misinformation online, and on social media in particular, has generated extraordinary concern, in large part because of its potential effects on public opinion, political polarization, and ultimately democratic decision making. Recently, however, some have argued that both the prevalence and consumption of “fake news” per se is extremely low compared with other types of news and news-relevant content. Although neither prevalence nor consumption is a…
Decision Psychology | North America | Policy/Regulation | Preferences/Values | Social Determinants | Culture/Society | Science/Technology -
ArticlePublication 2021National Academies Work Helps Foster an Evidence-Based Information Environment
U.S. Surgeon General Vivek Murthy issued a public advisory on health misinformation, calling it a …
U.S. Surgeon General Vivek Murthy issued a public advisory on health misinformation, calling it a “serious threat to public health” and encouraging all Americans to help slow its spread during the COVID-19 pandemic and beyond. To that end, the National Academies have been addressing misinformation in health and science on multiple fronts and are taking steps to help cultivate a fact- and evidence-based information environment. This description was extracted from the article.
Decision Psychology | North America | Policy/Regulation | Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine | Science/Technology