In this paper, we provide an overview of methodological challenges facing opioid policy researchers when conducting opioid policy evaluation studies using observational data, as well as some potential solutions to those challenges.
The aim of this study is to determine how often three risk-prediction tools agree on the classification of patients as low risk (less than 1%) of major adverse cardiac event.
We wished to determine if hospitals differed in their adjusted readmission rates following an index hospital admission for traumatic injury.
This is an exploratory study to quantify the facility-level variation in surgical case duration for common surgeries.
This study compared the anatomical injury components of the Trauma Audit and Research Network model with the Trauma Mortality Prediction Model.
If risk prediction tools are to be used in clinical care, it is essential that they be vetted with the same care as any new drug or medical device.
The time is right to update existing clinical practice guidelines on the management of patients at high risk for perioperative acute ischemic stroke.
Hospital performance on readmissions is significantly different from hospital performance on a composite metric based on readmission and mortality.
We conducted an observational study of patients hospitalized for gunshot wounds in the National (Nationwide) Inpatient Sample, 2004–2013.
For precision medicine and predictive analytics to become mainstream, we need an infrastructure that connects the massive number of digital breadcrumbs (Big Data) generated by individual patients over their lifetimes.
This study determined potential racial and ethnic disparities in risk for all-cause 30-day readmission among traditional Medicare and Medicare Advantage beneficiaries initially hospitalized for acute myocardial infarction, congestive heart failure, or pneumonia.
This article determines the seriousness of 11 maternal and child health outcomes associated with pregnancy weight gain, by engaging patients and maternal and child health professionals using an online modified Delphi panel process.
This article estimates the seriousness of eleven maternal and child health outcomes that have been consistently associated with pregnancy weight gain by engaging patients and health professionals.
More than 46 million Americans live with a mental illness, yet only half of those Americans receive treatment. Even fewer people receive high-quality care that would give them the best treatment possible. This tool is designed by RAND researchers to help connect mental health systems, policy leaders, and decisionmakers with resources and evidence-based solutions that could help transform the complex mental health landscape in the United States.
A RAND team identified three goals for transforming the U.S. mental health care system and pinpointed 15 opportunities to drive systemic improvements in access, use, and quality that would help tens of millions of Americans.
The United States is at a time of promise for historic transformation in mental health care. This report describes the landscape of mental health in the United States and identifies opportunities for transformative change. The result is an analysis of key problems and the research evidence for solutions, with recommendations to promote change to improve the lives of the millions of Americans living with mental illness.
This article presents a Nursing Health Services Research agenda for the 2020s.
To determine whether and how to respond to the evolving health care market, policy makers need to better understand how health systems are actually organized and the relationships among the entities that comprise them.
As the COVID-19 pandemic disrupted in-person medical care, emergency regulatory changes were implemented to promote use of telehealth.
This article describes the extent and direction of response changes between modified-Delphi rounds and identifies factors that affect participants' response changes.
