miércoles, 3 de agosto de 2016

HCUP-US Overview: Register Now for September 12-13 Workshops on Using AHRQ Data

HCUP-US Overview

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Register Now for September 12-13 Workshops on Using AHRQ Data

Registration is open for upcoming in-person, free workshops on how to use two popular AHRQ databases: the Medical Expenditure Panel Survey (MEPS) and the Healthcare Cost and Utilization Project (HCUP):
  • The two-day MEPS workshop, Sept. 12 and 13, will provide an overview of the database followed by hands-on instruction. MEPS is the only national data source measuring how Americans use and pay for medical care, health insurance and out-of-pocket spending. Workshop participants do not need to attend both days, but to attend the second day, participants must attend the first day. A full program description, registration form and logistical information are available on the workshops & events page of the MEPS website. Send questions toworkshopinfo@ahrq.hhs.gov.
  • The one-day HCUP workshop on Sept. 13 will focus on the project’s new Nationwide Readmissions Database, which allows users to produce national hospital readmission rates for all payers and the uninsured for specific conditions while examining demographic, clinical and utilization characteristics. HCUP is the nation’s most comprehensive source of hospital data, including information on inpatient care, ambulatory care and emergency department visits. More information about the HCUP workshop can be found on the workshops and webinars page of the HCUP User Support website.
HCUP
The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of health care databases and related software tools and products developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). HCUP databases bring together the data collection efforts of State data organizations, hospital associations, private data organizations, and the Federal government to create a national information resource of encounter-level health care data (HCUP Partners). HCUP includes the largest collection of longitudinal hospital care data in the United States, with all-payer, encounter-level information beginning in 1988. These databases enable research on a broad range of health policy issues, including cost and quality of health services, medical practice patterns, access to health care programs, and outcomes of treatments at the national, State, and local market levels.

HCUP's objectives are to:
  • Create and enhance a powerful source of national, state, and all-payer health care data.
  • Produce a broad set of software tools and products to facilitate the use of HCUP and other administrative data.
  • Enrich a collaborative partnership with statewide data organizations aimed at increasing the quality and use of health care data.
  • Conduct and translate research to inform decision making and improve health care delivery.
HCUP Fact Sheet
For a quick reference guide, refer to the HCUP Fact Sheet (PDFfile, 217 KB; HTML).

HCUP Tools and Software
The HCUP databases have been a powerful resource for the development of tools that can be applied to other similar databases by health services researchers and decision makers.

HCUPnet is a free, on-line query system based on data from the Healthcare Cost and Utilization Project (HCUP). It provides access to health statistics and information on hospital inpatient and emergency department utilization.

The AHRQ Quality Indicators (QIs) are measures of health care quality that make use of readily available hospital inpatient administrative data. The AHRQ QIs consist of three modules measuring various aspects of quality. Software and user guides for all three modules are available to assist users in applying the Quality Indicators to their own data.

The Clinical Classifications Software (CCS), was developed with HCUP data and is available for downloading. The CCS provides a method for classifying diagnoses or procedures into clinically meaningful categories, which can be used for aggregate statistical reporting of a variety of types.

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