Trends in Adverse Event Rates in Hospitalized Patients, 2010-2019.

Importance: Patient safety is a US national priority, yet lacks a comprehensive assessment of progress over the past decade.

Objective: To determine the change in the rate of adverse events in hospitalized patients.

Design, Setting, And Participants: This serial cross-sectional study used data from the Medicare Patient Safety Monitoring System from 2010 to 2019 to assess in-hospital adverse events in patients.

Association Between Medicare Expenditures and Adverse Events for Patients With Acute Myocardial Infarction, Heart Failure, or Pneumonia in the United States.

Importance: Studies have shown that adverse events are associated with increasing inpatient care expenditures, but contemporary data on the association between expenditures and adverse events beyond inpatient care are limited.

Objective: To evaluate whether hospital-specific adverse event rates are associated with hospital-specific risk-standardized 30-day episode-of-care Medicare expenditures for fee-for-service patients discharged with acute myocardial infarction (AMI), heart failure (HF), or pneumonia.

Design, Setting, And Participants: This cross-sectional study used the 2011 to 2016 hospital-specific risk-standardized 30-day episode-of-care expenditure data from the Centers for Medicare & Medicaid Services and medical record-abstracted in-hospital adverse event data from the Medicare Patient Safety Monitoring System.

Estimated Cost Savings: Everyone With Diabetes Counts (EDC) Program.

Everyone with Diabetes Counts (EDC) is a national disparities reduction program funded by the Centers for Medicare & Medicaid Services to improve outcomes in the underserved minority, diverse, and rural populations. This analysis evaluates West Virginia's pilot program of diabetes self-management education (DSME), one component of EDC. We frequency-matched 422 DSME completers to 1688 others by demographics and enrollment from Medicare fee-for service claims.

Association Between Hospital Performance on Patient Safety and 30-Day Mortality and Unplanned Readmission for Medicare Fee-for-Service Patients With Acute Myocardial Infarction.

Background: Little is known regarding the relationship between hospital performance on adverse event rates and hospital performance on 30-day mortality and unplanned readmission rates for Medicare fee-for-service patients hospitalized for acute myocardial infarction (AMI).

Methods And Results: Using 2009-2013 medical record-abstracted patient safety data from the Agency for Healthcare Research and Quality's Medicare Patient Safety Monitoring System and hospital mortality and readmission data from the Centers for Medicare & Medicaid Services, we fitted a mixed-effects model, adjusting for hospital characteristics, to evaluate whether hospital performance on patient safety, as measured by the hospital-specific risk-standardized occurrence rate of 21 common adverse event measures for which patients were at risk, is associated with hospital-specific 30-day all-cause risk-standardized mortality and unplanned readmission rates for Medicare patients with AMI. The unit of analysis was at the hospital level.

National trends in patient safety for four common conditions, 2005-2011.

Background: Changes in adverse-event rates among Medicare patients with common medical conditions and conditions requiring surgery remain largely unknown.

Methods: We used Medicare Patient Safety Monitoring System data abstracted from medical records on 21 adverse events in patients hospitalized in the United States between 2005 and 2011 for acute myocardial infarction, congestive heart failure, pneumonia, or conditions requiring surgery. We estimated trends in the rate of occurrence of adverse events for which patients were at risk, the proportion of patients with one or more adverse events, and the number of adverse events per 1000 hospitalizations.

Recommended use of aspirin and other antiplatelet medications among adults--National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, United States, 2005-2008.

Cardiovascular disease (CVD) is the most highly prevalent disease in the United States and remains the leading cause of death among adults aged ≥18 years despite advancements in treatment and prevention in recent decades. Each year, approximately 800,000 persons die from CVD, which includes coronary heart disease (CHD); the majority of those persons who die from CVD had underlying atherosclerosis. Approximately 7.

Emergency department volume and racial and ethnic differences in waiting times in the United States.

Background: Racial and ethnic differences in emergency department (ED) waiting times have been observed previously.

Objectives: We explored how adjusting for ED attributes, particularly visit volume, affected racial/ethnic differences in waiting time.

Research Design: We constructed linear models using generalized estimating equations with 2007-2008 National Hospital Ambulatory Medical Care Survey data.

Racial differences in functioning among elderly nursing home residents, 2004.

Reducing racial disparities in health care is an important national policy goal. Previous research on racial disparities has focused on nursing home placement rates. Recent research suggests that black nursing home residents may be more likely than residents of other races to reside in facilities that have serious deficiencies, such as low staffing ratios and greater financial vulnerability.

Racial and ethnic differences in delivery of tobacco-cessation services.

Background: Reducing racial and ethnic disparities in health care is an important national goal. Racial and ethnic differences in the delivery of tobacco-cessation services were examined in the course of visits to primary care physicians.

Methods: In 2007, data about tobacco screening were analyzed from 29,470 visits by adult patients to 2153 physicians in the 2001-2005 National Ambulatory Medical Care Survey, a cross-sectional survey.

Underestimation of cardiovascular disease mortality among Maine American Indians: the role of procedural and data errors.

We collaborated with Maine American Indian tribes to evaluate racial coding on death certificates and the effects of coding errors on estimation of cardiovascular disease (CVD) mortality. Lists of tribal decedents were matched to death certificates; 38.5% were misclassified (17.