With the 1999 release of the Institute of Medicine (IOM) report, To Err is Human: Building a Safer Health System, patient safety has become the center of attention for the nation's health care delivery system. The first step to improving patient safety is an understanding of the magnitude of the problem. The Medicare Patient Safety Monitoring System (MPSMS) is one major step to providing that understanding on a national level.
The MPSMS is a nationwide surveillance system designed to identify rates of specific adverse events within the hospitalized fee-for-service Medicare population. An adverse event is defined as an unintended patient harm, injury or loss more likely associated with the patient's interaction with the health care delivery system than from diseases the patient may have. The MPSMS is created under the auspices of the Department of Health and Human Services' (DHHS) Patient Safety Task Force. The Centers for Medicare & Medicaid Services (CMS), an agency of DHHS, is leading the coordination and development of the MPSMS. In 2001, CMS selected Qualidigm, Connecticut's Quality Improvement Organization (QIO), to provide administrative and technical support to develop the system.
Through its role as administrators of the Medicare system, CMS has an unparalleled responsibility to insure the health of millions of Americans. The dual fiduciary duties of protecting the Medicare Trust Fund and improving the safety of the health care system affords CMS access to the breadth and depth of information necessary to achieve the goals.
The major goals of MPSMS are to:
Historically, patient harm associated with health care delivery was determined through physician review of medical records. Based on their clinical judgment, physician reviewers determined if an adverse event had occurred. Because physician time is costly, this type of review process is commonly used for small studies. The annual MPSMS sample size ranges from 25,000 to 40,000 inpatient medical records. Thus, using a physician review process would be too expensive. Also, physician review results often reflect an individual physician's judgment and experience and therefore, the results are not always replicable.
The MPSMS team was challenged with developing a cost-effective, accurate and reliable method to identify and count specific adverse events using documentation from a large, randomly selected national sample of Medicare beneficiary inpatient medical records and associated Medicare administrative data. The data were to be collected from the medical records using an abstraction process performed by clinical and non-clinical abstractors at the Medicare Clinical Data Abstraction Center (CDAC), one of CMS's contractors. Because abstractors are not meant to apply clinical judgment and experience, the MPSMS team developed clinical algorithms representing clinical thought processes to determine if, during the hospitalization, the patient was exposed to a specific health care delivery process and if an associated adverse event had occurred. Based on the information required in the algorithm, the MPSMS created a data collection tool with specific questions and instructions requiring no clinical judgment to be used by the abstractors. The questions and instructions were programmed into electronic data collection software already in use by the CDAC. The algorithm is the basis for analysis of the data collected by the abstractors. Thus, the clinical decision-making to determine if an exposure and an associated harm had occurred was accomplished through data analysis, eliminating the need for review of the medical record by a physician. To increase efficiency and improve reliability, data available in the Medicare enrollment and claims databases are electronically pre-populated into the data collection software. Pre-populated information includes patient demographics, identification of patients who had surgical procedures, identification of adverse events that occurred within 30 days after a procedure, hospital readmissions, death within 30 days of discharge and other information as determined by the specific measure.
Partners:
Representatives of four Federal agencies constitute the MPSMS Federal Agency Work Group (FAWG).
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Project Overview | What's New | Tools & Resources | FAQs | Our Partners |Project Team
For information regarding the algorithms, data collection tools, data analysis and findings, please contact:
Michael Pineau, RN, MS
Project Manager
860.632.3737
mpineau@qualidigm.org
mpineau@ctqio.sdps.org
David R. Hunt, MD, Nancy Verzier, MSN, RN, Susan L. Abend, MD, Courtney Lyder, ND, MS, Lisa Jaser, RPh, PharmD, Nancy Safer, RN, MSN, Paul Davern RPh, MBA. “Fundamentals of Medicare Patient Safety Surveillance: Intent, Relevance and Transparency,” AHRQ’s compendium of patient safety research Advances in Patient Safety: From Research to Implementation, 2005.
2004 National Healthcare Quality Report
2005 National Healthcare Quality Report
2006 National Healthcare Quality Report
2007 National Healthcare Quality Report
2004 National Healthcare Disparities Report
2005 National Healthcare Disparities Report
2006 National Healthcare Disparities Report
2007 National Healthcare Disparities Report
Agency for Healthcare Research & Quality Advancing Excellence in Healthcare
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What adverse events are currently being measured?
What is an example of a measure algorithm?
The algorithm used to determine central venous catheter (CVC) adverse events follows:
CVC - Associated Blood Stream Infection (BSI)

How many years of data are available for each measure?
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Centers for Medicare & Medicaid Services (CMS)
Rebecca Kliman, MPH
Government Task Leader
Office of Clinical Standards and Quality
Federal Agency Workgroup (FAWG) Members
Agency for Healthcare Research and Quality (AHRQ)
Centers for Disease Control and Prevention (CDC)
Food and Drug Administration (FDA)
Veteran’s Health Administration (VHA)
Project Overview | What's New | Tools & Resources | FAQs | Our Partners |Project Team
Project Manager
Michael Pineau, RN, MS
860.632.3737
mpineau@qualidigm.org
mpineau@ctqio.sdps.org
Project Coordinator
Nancy Safer, RN, MSN
860.632.3733
nsafer@qualidigm.org
Administrative Assistant
Linda Edwards
860.632.6306
ledwards@qualidigm.org
Analyst
Yun Wang, PhD, JD
Chief Operations Officer
Maxine Goldsmith, RN, MBA
Medical Librarian
Lynda Grayson, RN, MLS
Project Overview | What's New | Tools & Resources | FAQs | Our Partners |Project Team