Literature DB >> 28903802

Can National Healthcare-Associated Infections (HAIs) Data Differentiate Hospitals in the United States?

Max Masnick1, Daniel J Morgan1, John D Sorkin2, Mark D Macek3, Jessica P Brown1, Penny Rheingans4, Anthony D Harris1.   

Abstract

OBJECTIVE To determine whether patients using the Centers for Medicare and Medicaid Services (CMS) Hospital Compare website (http://medicare.gov/hospitalcompare) can use nationally reported healthcare-associated infection (HAI) data to differentiate hospitals. DESIGN Secondary analysis of publicly available HAI data for calendar year 2013. METHODS We assessed the availability of HAI data for geographically proximate hospitals (ie, hospitals within the same referral region) and then analyzed these data to determine whether they are useful to differentiate hospitals. We assessed data for the 6 HAIs reported by hospitals to the Centers for Disease Control and Prevention (CDC). RESULTS Data were analyzed for 4,561 hospitals representing 88% of registered community and federal government hospitals in the United States. Healthcare-associated infection data are only useful for comparing hospitals if they are available for multiple hospitals within a geographic region. We found that data availability differed by HAI. Clostridium difficile infections (CDI) data were most available, with 82% of geographic regions (ie, hospital referral regions) having >50% of hospitals reporting them. In contrast, 4% of geographic regions had >50% of member hospitals reporting surgical site infections (SSI) for hysterectomies, which had the lowest availability. The ability of HAI data to differentiate hospitals differed by HAI: 72% of hospital referral regions had at least 1 pair of hospitals with statistically different risk-adjusted CDI rates (SIRs), compared to 9% for SSI (hysterectomy). CONCLUSIONS HAI data generally are reported by enough hospitals to meet minimal criteria for useful comparisons in many geographic locations, though this varies by type of HAI. CDI and catheter-associated urinary tract infection (CAUTI) are more likely to differentiate hospitals than the other publicly reported HAIs. Infect Control Hosp Epidemiol 2017;38:1167-1171.

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Year:  2017        PMID: 28903802      PMCID: PMC5905414          DOI: 10.1017/ice.2017.179

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  2 in total

1.  Variation in surgical quality measure adherence within hospital referral regions: do publicly reported surgical quality measures distinguish among hospitals that patients are likely to compare?

Authors:  Kyan C Safavi; Feng Dai; Todd A Gilbertsen; Robert B Schonberger
Journal:  Health Serv Res       Date:  2014-03-11       Impact factor: 3.402

2.  A Multicenter Longitudinal Study of Hospital-Onset Bacteremia: Time for a New Quality Outcome Measure?

Authors:  Clare Rock; Kerri A Thom; Anthony D Harris; Shanahan Li; Daniel Morgan; Aaron M Milstone; Brian Caffo; Manjari Joshi; Surbhi Leekha
Journal:  Infect Control Hosp Epidemiol       Date:  2015-10-23       Impact factor: 3.254

  2 in total
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1.  Development and evaluation of a structured guide to assess the preventability of hospital-onset bacteremia and fungemia.

Authors:  Gregory M Schrank; Anna Sick-Samuels; Susan C Bleasdale; Jesse T Jacob; Raymund Dantes; Runa H Gokhale; Jeanmarie Mayer; Preeti Mehrotra; Sapna A Mehta; Alfredo J Mena Lora; Susan M Ray; Chanu Rhee; Jorge L Salinas; Susan K Seo; Andi L Shane; Gita Nadimpalli; Aaron M Milstone; Gwen Robinson; Clayton H Brown; Anthony D Harris; Surbhi Leekha
Journal:  Infect Control Hosp Epidemiol       Date:  2022-01-28       Impact factor: 6.520

Review 2.  Risk factors of wound infection after lung transplantation: a narrative review.

Authors:  Weiwei Qian; Wei Sun; Shenglong Xie
Journal:  J Thorac Dis       Date:  2022-06       Impact factor: 3.005

  2 in total

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