scholarly journals Identification of Influenza Cases During the H1N1 Pandemic in Massachusetts Using Population-Based Hospital Discharge Data

PLoS Currents ◽  
2011 ◽  
Vol 3 ◽  
pp. RRN1256 ◽  
Author(s):  
Hilary Placzek ◽  
Larry Madoff
Keyword(s):  
Hospital Discharge ◽  
Population Based ◽  
Hospital Discharge Data ◽  
H1n1 Pandemic ◽  
Discharge Data

scholarly journals The Incidence, Characteristics, and Outcomes of Community and Hospital-Associated S. aureus Disease in Fulton County, Georgia

2020 ◽  
Vol 41 (S1) ◽  
pp. s81-s82
Author(s):  
Andrew Webster ◽  
Scott Fridkin ◽  
Susan Ray
Keyword(s):  
Hospital Discharge ◽  
Population Based ◽  
Incidence Rates ◽  
Outcome Data ◽  
Hospital Discharge Data ◽  
Invasive Infection ◽  
Emerging Infections ◽  
Inpatient Hospitalization ◽  
Discharge Data ◽  
Total Treatment

Background: Due to reliance on hospital discharge data for case identification, the burden of noninvasive and community-acquired S. aureus disease is often underestimated. To determine the full burden of S. aureus infections, we utilized population-based surveillance in a large urban county. Methods: The Georgia Emerging Infections Program (GA EIP) conducted CDC-funded, population-based surveillance by finding cases of S. aureus infections in 8 counties around Atlanta in 2017. Cases were residents with S. aureus isolated from either a normally sterile site in a 30-day period (invasive cases) or another site in a 14-day period (noninvasive cases). Medical records (all invasive and 1:4 sample of noninvasive cases) among Fulton County residents were abstracted for clinical, treatment, and outcome data. Cases treated were mapped to standard therapeutic site codes. Noninvasive specimens were reviewed and attributed to an invasive case if both occurred within 2 weeks. Incidence rates were calculated using 2017 census population and using a weight-adjusted cohort to account for sampling. Results: In total, 1,186 noninvasive (1:4 sample) and 529 invasive cases of S. aureus in Fulton county were reviewed. Only 35 of 1,186 (2.9%) noninvasive cases were temporally linked to invasive cases, resulting in 5,133 cases after extrapolation (529 invasive, 4,604 noninvasive). All invasive cases and 3,776 of 4,604 noninvasive cases (82%) were treated (4,305 total). Treatment was highest in skin (90%) and abscess (97%), lowest in urine (62%) and sputum (60%), and consisted of antibacterial agents alone (65%) or in addition to drainage procedures (35%). Overall, 41% of all cases were hospitalized, 12% required ICU admission, and 2.7% died, almost exclusively with bloodstream and pulmonary infections. Attribution of noninvasive infection was most often outside healthcare settings (87%); only 341 (7.9%) were hospital-onset cases; however, 34% of cases had had healthcare exposure in the preceding year, most often inpatient hospitalization (75%) or recent surgery (35%). Estimated countywide incidence was 414 per 100,000 (130 for MRSA and 284 for MSSA), invasive infection was 50 per 100,000. Among treated cases, 57% were SSTI, and the proportion of cases caused by MRSA was ~33% but varied slightly by therapeutic site (Fig. 1). Conclusions: The incidence of treated S. aureus infection in our large urban county is estimated to be 414 per 100,000 persons, which exceeds previously estimated rates based on hospital discharge data. Only 12% of treated infections were invasive, and <1 in 10 were hospital onset. Also, two-thirds of treated disease cases were MSSA; most were SSTIs.Funding: Proprietary Organization: Pfizer.Disclosures: Scott Fridkin, consulting fee - vaccine industry (spouse).

scholarly journals How accurate is the reporting of stroke in hospital discharge data? A pilot validation study using a population-based stroke registry as control

2012 ◽  
Vol 260 (2) ◽  
pp. 605-613 ◽  
Author(s):  
Corine Aboa-Eboulé ◽  
Dominique Mengue ◽  
Eric Benzenine ◽  
Marc Hommel ◽  
Maurice Giroud ◽  
...  
Keyword(s):  
Hospital Discharge ◽  
Validation Study ◽  
Population Based ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
Stroke Registry

Improving case ascertainment of a population-based birth defects registry in New York State using hospital discharge data

2005 ◽  
Vol 73 (10) ◽  
pp. 663-668 ◽  
Author(s):  
Ying Wang ◽  
Monica Sharpe-Stimac ◽  
Philip K. Cross ◽  
Charlotte M. Druschel ◽  
Syni-An Hwang
Keyword(s):  
New York ◽  
Hospital Discharge ◽  
Birth Defects ◽  
New York State ◽  
Population Based ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
York State ◽  
Case Ascertainment

scholarly journals Trends in methicillin-resistant Staphylococcus aureus bloodstream infections using statewide population-based surveillance and hospital discharge data, Connecticut, 2010–2018

2020 ◽  
Vol 41 (6) ◽  
pp. 734-736
Author(s):  
Ashley N Rose ◽  
Paula Clogher ◽  
Kelly M Hatfield ◽  
Runa H Gokhale ◽  
Isaac See ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Hospital Discharge ◽  
Methicillin Resistant Staphylococcus Aureus ◽  
Bloodstream Infections ◽  
Population Based ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
Methicillin Resistant ◽  
Identification Methods

AbstractWe compared methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections (BSIs) captured by culture-based surveillance and MRSA septicemia hospitalizations captured by administrative coding using statewide hospital discharge data in Connecticut from 2010 to 2018. Observed discrepancies between identification methods suggest administrative coding is inappropriate for assessing trends in MRSA BSIs.

Characterizing Firearm Assault Injury Among Young Black Men Using Arkansas Hospital Discharge Data

2021 ◽  
pp. 088626052199794
Author(s):  
Nakita N. Lovelady ◽  
Nickolas D. Zaller ◽  
Mary Kate Stewart ◽  
Ann M. Cheney ◽  
Austin Porter III ◽  
...  
Keyword(s):  
Hospital Discharge ◽  
Black Men ◽  
Hospital Discharge Data ◽  
Hospital Charges ◽  
Health Care Information ◽  
Discharge Data ◽  
Patient Demographics ◽  
Predicting Factors ◽  
Drug Use Disorders ◽  
Care Information

Using statewide hospital discharge data from 2005 to 2014, this study aimed to describe and identify predictors of firearm assault among young Black men ages 18 to 44 in Arkansas. Descriptive analyses of data were performed for patient demographics (age, marital status, residential location, etc.), injury, and health care information (hospital charges, length of stay, mortality, time, day and season of injury, etc.). Logistic regression analysis was performed to identify significant predicting factors for firearm assault among this population. Most of the sample survived firearm assault injury, were ages 18–35, were not married, resided in Central Arkansas, and were admitted to a Central Arkansas hospital during night hours on weekends. The majority had a short hospital stay, and total charges exceeded $34 million during the study observation years. Most patients had no diagnosis of a mental disorder, and a little less than half had drug use disorders. Being ages 18–25, living in the Central region of Arkansas, and being married were all significant predictors of firearm assault for this population. Death was also significantly associated with firearm assault. Our findings lay the groundwork for understanding firearm assault injury among young Black men in Arkansas. Research should be expanded to examine other important data sources for firearm assault and to further explore the context of predicting factors, in order to provide a more comprehensive understanding of firearm assault and to better inform future prevention efforts.

Using Hospital Discharge Data to Track Inflicted Traumatic Brain Injury

2008 ◽  
Vol 34 (4) ◽  
pp. S157-S162 ◽  
Author(s):  
Katherine D. Ellingson ◽  
John M. Leventhal ◽  
Harold B. Weiss
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Hospital Discharge ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
Inflicted Traumatic Brain Injury
Sign in / Sign up

Export Citation Format

Share Document