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The PSNet Collection: All Content

The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.

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Displaying 1 - 4 of 4 Results
Blanchfield BB, Demehin AA, Cummings CT, et al. Jt Comm J Qual Patient Saf. 2018;44:583-589.
… adherence to regulations around mandatory data reporting. A prior study conducted at the same hospital found that … goal of improving safety and quality. … Blanchfield BB, Demehin AA, Cummings CT, Ferris TG, Meyer GS. The Cost of …
Koenig L, Soltoff SA, Demiralp B, et al. Am J Med Qual. 2017;32:611-616.
The Centers for Medicare and Medicaid Services (CMS) decision to withhold payment for certain hospital-acquired conditions has prompted widespread efforts to prevent such events, including health care–associated infections. Prior research suggests that academic centers and safety-net hospitals may be disproportionately affected by financial penalties imposed by CMS through various pay-for-performance initiatives. In this study, investigators analyzed how hospital size affected performance in the Hospital-Acquired Condition Reduction Program. They concluded that hospital size leads to bias when evaluating hospital performance, disproportionately penalizing larger hospitals when the expected complication rate for a particular event is low. The authors provide numerous suggestions for improving the evaluation of hospital performance within the program.
Wachter R, Foster NE, Dudley A. Jt Comm J Qual Patient Saf. 2008;34:116-23.
… prompted significant debate in the safety community, with a past economic analysis suggesting that adverse events account for a small but significant proportion of overall Medicare … to ensure that such events were not “present on admission”—a new coding category to identify patients whose events …