Can Emergency Department Wait Times Predict Rates of Hospital-Acquired Clostridioides difficile Infection? A Study of Acute Care Facilities in New York State

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Danielle J. Durant ◽  
Claudia Guerrazzi Young
2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Rebecca Schnall ◽  
Nan Liu

Study Objectives.In response to the 2010 New York State HIV testing law, we sought to understand the contextual factors that influence HIV testing rates in the emergency department (ED).Methods.We analyzed electronic health record logs from 97,655 patients seen in three EDs in New York City. We used logistic regression to assess whether time of day, day of the week, and season significantly affected HIV testing rates.Results.During our study period, 97,655 patients were evaluated and offered an HIV test. Of these, 7,763 (7.9%) agreed to be tested. Patients arriving between 6 a.m. and 7:59 p.m. were significantly (P<0.001) more likely to be tested for HIV, followed by patients arriving between 8:00 p.m. and 9:59 p.m. (P<0.01) and followed by patients arriving between 5–5:59 a.m. and 10–10:59 p.m. (P<0.05) compared to patients arriving at midnight. Seasonal variation was also observed, where patients seen in July, August, and September (P<0.001) were more likely to agree to be tested for HIV compared to patients seen in January, while patients seen in April and May (P<0.001) were less likely to agree to be tested for HIV.Conclusion.Time of day and season affect HIV testing rates in the ED, along with other factors such as patient acuity and completion of other blood work during the ED visit. These findings provide useful information for improving the implementation of an HIV testing program in the ED.


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.


Author(s):  
Jian-Hua Chen ◽  
Ursula Lauper ◽  
Cristian Pantea ◽  
Shao Lin ◽  
Hwa-Gan Chang

This was a retrospective study that combined with emergency department visit chief complaint and power outage data to evaluation of carbon monoxide poisoning during hurricane Sandy in three most affected New York State counties. 


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

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