Development of Data, Surveys, & Indicators

The Synthetic Health Data Generation to Accelerate PCOR project was launched in 2019 by the Office of the National Coordinator for Health Information Technology (ONC).

This posting includes a report prepared by the RAND Corporation, “State All Payer Claims Databases Understanding the Current Landscape and Challenges to Use,” which builds on a 2021 report “The History, Promise and Challenges of State All Payer Claims Databases.” The new report provides additional detail on the objectives of and use cases for APCDs, the current APCD landscape, and implementati

Program managers can take clear steps during emergencies to initially assess the extent to which emergency flexibilities or waivers achieve intended outcomes and advance programmatic goals.

The COVID-19 pandemic drove a large and rapid transition from in-person human service delivery to virtual approaches. Measuring the implementation and outcomes of virtual human services in a timely way is crucial to understanding the challenges and successes for a variety of participants across programs and services.

Despite advances in the development of evidence-based treatment for adults with post-traumatic stress disorder (PTSD), the implementation of these treatments varies widely. To reduce this gap through wider dissemination of effective behavioral health treatment, the U.S.

The development of new drugs and biologics is critical to ensuring that the U.S. population continues to enjoy improvements in quality and length of life.

This is the full instrument for the Survey of Long-Term Care Awareness and Planning, and Appendix A of the report "Data User's Guide for the Public Use File of the Survey of Long-Term Care Awareness and Planning".

With the aging of the population, the demand and need for long-term care (LTC) is certain to grow, and with it public and private expenditures. Unlike medical care, where insurance is common, few people have private LTC insurance, and Medicare does not cover LTC. Many older adults pay for LTC out of their income and personal savings until they qualify for Medicaid.

This is the Codebook for the Survey of Long-Term Care Awareness and Planning public use file, and Appendix B of the report "Data User's Guide for the Public Use File of the Survey of Long-Term Care Awareness and Planning". The Codebook contains every variable name, its label, and unweighted and weighted frequencies.

Over the last decade, survey response rates have been steadily declining, and this decline has raised concerns across the federal government regarding the quality and utility of national survey data.