Addressing Financial Toxicity in Cancer Care Through Medical Financial Assistance (MFA) Policy
This policy brief by Alyce Adams and Mateen Ghassemi examines the financial burden experienced by cancer patients and their families, impacting around half of cancer survivors.
Stanford Health Policy’s Maria Polyakova, PhD, and colleagues set out to measure how much doctors earn and, crucially, where their incomes fall within the overall income rankings of four wealthy countries: the US, Canada, Sweden, and the Netherlands
Public Preschool Aids in Developmental, Learning-Related Diagnoses
New research by SIEPR and SHP scholars Adrienne Sabety and Maya Rossin-Slater shows how early exposure to public preschool benefits low-income children with behavioral and developmental conditions.
Study Finds Gaza Violent Death Toll Likely 35% Higher Than Official Estimates
A Study by Eran Bendavid in The Lancet Global Health finds the number of violent deaths in the Gaza Strip in the first year of the conflict with Israel was underreported
Post COVID-19 Hypertension: A Longitudinal Study of 40,000 Incarcerated Adults
SHP researchers and colleagues at the California Correctional Health Care Services find that COVID-19 is associated with significant increases in hypertension incidence in the large, racially and ethnically diverse prison population.
When AI Algorithms Decide Whether Your Insurance Will Cover Your Care
In this Health Affairs study, Stanford researchers examine the promises of efficiency and risks of supercharged flaws in the race to use artificial intelligence in health care.
American Economic Association: Papers and Proceedings,
May 1, 2020
One of the most challenging environments in health care is the emergency department (ED) A key decision-maker in that context is triage nurses, who assess patient illness severity and influence wait times for medical attention. We gather novel data on the triage process across 108 EDs, including wait times, triage nurse identities and assessments, and detailed patient information and outcomes. Using quasi-random assignment to ED, we find a striking rate of "inversions," where patients who are sicker based on either ex ante information or ex post outcomes are scored as sicker and wait longer than their healthier counterparts.
