Use of Administrative Data in Efficient Auditing of Hospital-Acquired Surgical Site Infections, New York State 2009–2010

2012 ◽  
Vol 33 (6) ◽  
pp. 565-571 ◽  
Author(s):  
Valerie B. Haley ◽  
Carole Van Antwerpen ◽  
Boldtsetseg Tserenpuntsag ◽  
Kathleen A. Gase ◽  
Peggy Hazamy ◽  
...  

Objective.To efficiently validate the accuracy of surgical site infection (SSI) data reported to the National Healthcare Safety Network (NHSN) by New York State (NYS) hospitals.Design.Validation study.Setting.176 NYS hospitals.Methods.NYS Department of Health staff validated the data reported to NHSN by review of a stratified sample of medical records from each hospital. The four strata were (1) SSIs reported to NHSN; (2) records with an indication of infection from diagnosis codes in administrative data but not reported to NHSN as SSIs; (3) records with discordant procedure codes in NHSN and state data sets; (4) records not in the other three strata.Results.A total of 7,059 surgical charts (6% of the procedures reported by hospitals) were reviewed. In stratum 1, 7% of reported SSIs did not meet the criteria for inclusion in NHSN and were subsequently removed. In stratum 2, 24% of records indicated missed SSIs not reported to NHSN, whereas in strata 3 and 4, only 1% of records indicated missed SSIs; these SSIs were subsequently added to NHSN. Also, in stratum 3, 75% of records were not coded for the correct NHSN procedure. Errors were highest for colon data; the NYS colon SSI rate increased by 7.5% as a result of hospital audits.Conclusions.Audits are vital for ensuring the accuracy of hospital-acquired infection (HAI) data so that hospital HAI rates can be fairly compared. Use of administrative data increased the efficiency of identifying problems in hospitals' SSI surveillance that caused SSIs to be unreported and caused errors in denominator data.

2016 ◽  
Vol 10 (3) ◽  
pp. 443-453 ◽  
Author(s):  
Asante Shipp Hilts ◽  
Stephanie Mack ◽  
Millicent Eidson ◽  
Trang Nguyen ◽  
Guthrie S. Birkhead

AbstractObjectiveThe aim of this study was to conduct interviews with public health staff who responded to Hurricane Sandy and to analyze their feedback to assess response strengths and challenges and recommend improvements for future disaster preparedness and response.MethodsQualitative analysis was conducted of information from individual confidential interviews with 35 staff from 3 local health departments in New York State (NYS) impacted by Hurricane Sandy and the NYS Department of Health. Staff were asked about their experiences during Hurricane Sandy and their recommendations for improvements. Open coding was used to analyze interview transcripts for reoccurring themes, which were labeled as strengths, challenges, or recommendations and then categorized into public health preparedness capabilities.ResultsThe most commonly cited strengths, challenges, and recommendations related to the Hurricane Sandy public health response in NYS were within the emergency operations coordination preparedness capability, which includes the abilities of health department staff to partner among government agencies, coordinate with emergency operation centers, conduct routine conference calls with partners, and manage resources.ConclusionsHealth departments should ensure that emergency planning includes protocols to coordinate backup staffing, delineation of services that can be halted during disasters, clear guidelines to coordinate resources across agencies, and training for transitioning into unfamiliar disaster response roles. (Disaster Med Public Health Preparedness. 2016;10:443–453)


2007 ◽  
Vol 40 (5) ◽  
pp. 938-944 ◽  
Author(s):  
Russ Miller ◽  
Naimesh Shah ◽  
Mark L. Green ◽  
William Furey ◽  
Charles M. Weeks

Computational and data grids represent an emerging technology that allows geographically and organizationally distributed resources (e.g.computing and storage resources) to be linked and accessed in a fashion that is transparent to the user, presenting an extension of the desktop for users whose computational, data and visualization needs extend beyond their local systems. The New York State Grid is an integrated computational and data grid that provides web-based access for users from around the world to computational, application and data storage resources. This grid is used in a ubiquitous fashion, where the users have virtual access to their data sets and applications, but do not need to be made aware of the details of the data storage or computational devices that are specifically employed. Two of the applications that users worldwide have access to on a variety of grids, including the New York State Grid, are theSnBandBnPprograms, which implement theShake-and-Bakemethod of molecular structure (SnB) and substructure (BnP) determination, respectively. In particular, through our grid portal (i.e.logging on to a web site),SnBhas been run simultaneously on all computational resources on the New York State Grid as well as on more than 1100 of the over 3000 processors available through the Open Science Grid.


2012 ◽  
Vol 40 (5) ◽  
pp. e190-e191
Author(s):  
Kathleen Gase ◽  
Boldtsetseg Tserenpuntsag ◽  
Valerie Haley ◽  
Diana Doughty ◽  
Peggy Hazamy ◽  
...  

2016 ◽  
Vol 144 (14) ◽  
pp. 3013-3016 ◽  
Author(s):  
B. A. BEDARD ◽  
R. ELDER ◽  
L. PHILLIPS ◽  
M. F. WACHUNAS

SUMMARYIn September 2009, the Rensselaer County Department of Health investigated an increase in Giardia duodenalis cases. The epidemiological investigation identified that a source of the illness could be a roadside spring located in the eastern part of the county. Epidemiological and environmental health staff conducted a site visit to the roadside spring and found several concerns. Water samples were collected from the roadside spring and sent to the New York State Department of Health for analysis. The water sample results indicated the presence of empty Giardia cysts. Prevention methods occurred and the roadside spring was destroyed. A total of 36 laboratory-confirmed cases of Giardia were identified from this outbreak that included residents of New York State and Massachusetts.


2011 ◽  
Vol 39 (5) ◽  
pp. E132-E133 ◽  
Author(s):  
Peggy Ann Hazamy ◽  
Carole VanAntwerpen ◽  
Boldt Tserenpuntsag ◽  
Diana Doughty ◽  
Marie Tsivitis ◽  
...  

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