Assessing Potentially Preventable Hospitalizations at the County Level: A Comparison of Measures Using Medicare Data and State Hospital Discharge Data

2018 ◽  
Vol 21 (6) ◽  
pp. 438-445 ◽  
Author(s):  
Danielle L. Broussard ◽  
Karen E. Mason ◽  
Amanda R. Carruth ◽  
Thomas W. Carton
Keyword(s):  
Hospital Discharge ◽  
State Hospital ◽  
Hospital Discharge Data ◽  
County Level ◽  
Preventable Hospitalizations ◽  
Discharge Data ◽  
Medicare Data ◽  
Potentially Preventable Hospitalizations

Issues in using state hospital discharge data in injury control research and surveillance

2007 ◽  
Vol 39 (2) ◽  
pp. 319-325 ◽  
Author(s):  
Bruce A. Lawrence ◽  
Ted R. Miller ◽  
Harold B. Weiss ◽  
Rebecca S. Spicer
Keyword(s):  
Hospital Discharge ◽  
State Hospital ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
Control Research ◽  
Injury Control

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.

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).

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