25 papers
Health policy sits at the crossroads of medical science and public decision-making, shaping how communities access care and respond to health crises. This field examines everything from insurance regulations and vaccine distribution to the economic impact of new treatments, translating complex research into real-world guidelines that affect us all.
On Gist.Science, we curate the latest preprints from medRxiv specifically focused on health policy, ensuring you never miss a critical study before it reaches formal publication. For every new paper in this category, our team generates both a clear, plain-language overview and a detailed technical summary, making these vital insights accessible to everyone from policymakers to concerned citizens. Below are the most recent health policy studies from medRxiv, now explained and ready for you to explore.
This study utilizes propensity score matching on NIH administrative data to demonstrate that early career peer review service is associated with increased grant submission volume, improved review scores, and higher funding success rates compared to non-reviewing peers.
This qualitative study of the Options Assessment Toolkit (OAT) for *Plasmodium vivax* radical cure reveals that while inclusive co-development fostered strong stakeholder ownership, the tool's influence remained limited to supporting structured deliberation rather than driving formal policy adoption, highlighting that ownership alone is insufficient for institutional uptake without alignment to system readiness and formal regulatory processes.
A 2024 time-and-motion study in Malawi reveals that healthcare workers spend less time than contracted and only about half their working hours on direct patient care, highlighting significant opportunities to improve workforce utilization while underscoring the urgent need for sustained investment to address critical staffing shortages.
This study of Ecuadorian public hospitals reveals that patients accessing scheduled outpatient specialist consultations through non-standardized (informal) pathways experience significantly shorter waiting times compared to those using standardized institutional pathways, particularly in direct-access specialties.
A national survey of 175 early-career physician-scientists in the United States reveals that substantial structural and financial barriers, including limited funding, under-compensation, and work-life imbalance, have led to high rates of burnout and a widespread intent to leave academic medicine or relocate abroad, highlighting an urgent need for policy reforms and targeted retention strategies to sustain the biomedical research workforce.
This study estimates that while Mexico's 2022 vehicle safety standards will significantly reduce road traffic deaths and injuries, adopting additional advanced technologies like autonomous emergency braking and pedestrian protection features could prevent up to 41% of fatalities and offer greater benefits to vulnerable road users.
This 11-year retrospective analysis of Honduran hospital data reveals that Ambulatory Care Sensitive Conditions account for 13.6% of all hospitalizations, with rates fluctuating significantly due to the pandemic and disproportionately affecting children, the elderly, and patients with chronic noncommunicable diseases, thereby highlighting critical gaps in primary health care performance.
A Bayesian causal factor analysis of England's National Health Service Hepatitis C programme reveals that implementing country-wide peer support significantly increased case identification and promoted equitable treatment access among marginalized populations, particularly during the initial COVID-19 lockdown.
This fixed-effects panel data analysis of eight Southeast Asian countries from 2018 to 2025 reveals that while the immediate presence of structural barriers to social protection coincides with HIV prevention services for sex workers, their sustained existence significantly undermines the long-term availability and sustainability of these critical programs.
Through a simulation-based comparison, this study demonstrates that Controlled Interrupted Time Series (CITS) designs outperform multivariable regression in estimating population-level policy effects by providing more accurate confidence interval coverage and robustness against serial correlation, particularly in settings with moderate to high autocorrelation.