Biomedical Research, Science, & Technology

The purpose of this project was to develop and test a suite of electronic Care Plan (eCP) tools for adults with multiple chronic conditions (MCC), including an eCP implementation guide specifying data standards and value sets for key use case conditions and two open-source eCP apps (one for patients and one for clinicians).

This report provides welfare dependence indicators through 2019 for most indicators and through 2020 for other indicators, reflecting changes that have taken place since enactment of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) in 1996.

Objectives: Clinical guidelines or guidance is an important tool for preventing and treating antimicrobial-resistant (AMR) infections. We sought to understand and support the effective use of guidelines and guidance for AMR infections.

This is the final report of an AHRQ study to address the operational gap between CFIs and EFIs. This project focused on validating an established CFI using linked claims-EHR databases of multiple large health systems. The project provides a systematic approach that health systems can use to examine the quality of the EHR data and prepare it for the application of EFI measures.

This issue brief provides a primer on FDA user fees, presents findings of how user fees affect the cost of medical product development, and summarizes the research literature on user fees, most notably in expediting medical product development and approval.

Using 2021-2022 survey data from the U.S. Census Bureau’s Household Pulse Survey, this ASPE Research Report examined sociodemographic factors and trends in vaccine hesitancy among workers based on the likelihood of exposure risk to SARS-CoV-2. We classified work setting into three categories: essential healthcare, essential non-healthcare, and non-essential.

Shortages of critical medical devices during the COVID-19 pandemic exposed vulnerabilities in device markets. From 2010 to 2019 there were approximately five shortages annually, but that number increased fourfold in the first half of 2020.

In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.

This report quantified the potential impacts of select clinical strategies on the cost, duration, and phase transition probability associated with therapeutic complex medical device development stages. The model used data from a variety of sources (public and non-public) and widely accepted economic methods.

This environmental scan, conducted from September 2016 – September 2021, examines the potential impacts of select strategies on the cost, duration, and phase transition probability associated with drug, preventive vaccine, and therapeutic complex medical device development stages.