Evaluation in Terms of Annual Incidence Rate of Lung Cancer within the ULSSs of the Veneto Region (Italy) from Hospital Discharge Data (Years 1980–1982)

1988 ◽  
Vol 74 (6) ◽  
pp. 697-704
Author(s):  
Mario Bolzan ◽  
Gianni Conte
Keyword(s):  
Lung Cancer ◽  
Incidence Rate ◽  
Hospital Discharge ◽  
Incidence Rates ◽  
Annual Incidence ◽  
Hospital Discharge Data ◽  
Veneto Region ◽  
Discharge Data ◽  
Comparison Of The Results ◽  
Age Range

The annual incidence of lung cancer in aggregated territories (ULSS and Veneto Region) was assessed by a retrospective analysis of hospital discharge data from 1980–1982. The 1982 regional age and sex-specific prevalence and incidence rates (x 100,000 inhabitants), the deaths in period and the cumulative incidence rates were determined. Also calculated were the standardized incidence ratios, distinctly for sex and a truncated age range (35–64 years) and on the total as well as the standard errors. The results obtained demonstrated that the incidence rate in the Veneto is among the highest in Italy and that there is a nonhomogeneous distribution of incidence/prevalence in the various ULSSs within the Veneto. Previously held opinions on the effects of sex and age were also confirmed. Comparison of the results with those obtained from the deaths in period showed the method used for analysis to be reasonably practical and reliable. It could provide an alternative method to the more complex and expensive system currently adopted by the Population Registries.

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 Comorbidity in Older Patients Hospitalized with Cancer in Northeast China based on Hospital Discharge Data

2020 ◽  
Vol 17 (21) ◽  
pp. 8028
Author(s):  
Xiao-Min Mu ◽  
Wei Wang ◽  
Fang-Yi Wu ◽  
Yu-Ying Jiang ◽  
Ling-ling Ma ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Liver Cancer ◽  
Elderly Patients ◽  
Cancer Patients ◽  
Hospital Discharge ◽  
Hospital Discharge Data ◽  
Discharge Data ◽  
Elderly Cancer Patients ◽  
Patients With Cancer ◽  
Digestive Diseases

Patients with cancer often carry the dual burden of the cancer itself and other co-existing medical conditions. The problems associated with comorbidities among elderly cancer patients are more prominent compared with younger patients. This study aimed to identify common cancer-related comorbidities in elderly patients through routinely collected hospital discharge data and to use association rules to analyze the prevalence and patterns of these comorbidities in elderly cancer patients at different cancer sites. We collected the discharge data of 80,574 patients who were diagnosed with cancers of the esophagus, stomach, colorectum, liver, lung, female breast, cervix, and thyroid between 2016 and 2018. The same number of non-cancer patients were randomly selected as the control group and matched with the case group by age and gender. The results showed that cardiovascular diseases, metabolic diseases, digestive diseases, and anemia were the most common comorbidities in elderly patients with cancer. The comorbidity patterns differed based on the cancer site. Elderly patients with liver cancer had the highest risk of comorbidities, followed by lung cancer, gastrointestinal cancer, thyroid cancer, and reproductive cancer. For example, elderly patients with liver cancer had the higher risk of the comorbid infectious and digestive diseases, whereas patients with lung cancer had the higher risk of the comorbid respiratory system diseases. The findings can assist clinicians in diagnosing comorbidities and contribute to the allocation of medical resources.

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.

Abstract TP374: Data Linkage is Effective for Improving the Available Data for Stroke: An Example from the Australian Stroke Clinical Registry.

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Monique F Kilkenny ◽  
Helen M Dewey ◽  
Natasha A Lannin ◽  
Vijaya Sundararajan ◽  
Joyce Lim ◽  
...  
Keyword(s):  
Hospital Discharge ◽  
Hospital Discharge Data ◽  
Hospital Data ◽  
High Quality ◽  
Clinical Registry ◽  
Large Hospital ◽  
Common Data Elements ◽  
Discharge Data ◽  
Data Elements ◽  
Data Collections

Introduction: Multiple data collections can be a burden for clinicians. In 2009, the Australian Stroke Clinical Registry (AuSCR) was established by non-government and research organizations to provide quality of care data unavailable for acute stroke admissions. We show here the reliability of linking complimentary registry data with routinely collected hospital discharge data submitted to governmental bodies. Hypothesis: A high quality linkage with a > 90% rate is possible, but requires multiple personal identifiers common to each dataset. Methods: AuSCR identifying variables included date of birth (DoB), Medicare number, first name, surname, postcode, gender, hospital record number, hospital name and admission date. The Victorian Department of Health emergency department (ED) and hospital discharge linked dataset has most of these, with first name truncated to the first 3 digits, but no surname. Common data elements of AuSCR patients registered at a large hospital in Melbourne, Victoria (Australia) between 15 June 2009 and 31 December 2010 were submitted to undergo stepwise deterministic linkage. Results: The Victorian AuSCR sample had 818 records from 788 individuals. Three steps with 1) Medicare number, postcode, gender and DoB (80% matched); 2) hospital number/admit date; and 3) ED number/visit date were required to link AuSCR data with the ED and hospital discharge data. These led to an overall high quality linkage of >99% (782/788) of AuSCR patients, including 731/788 for ED records and 736/788 for hospital records. Conclusion: Multiple personal identifiers from registries are required to achieve reliable linkage to routinely collected hospital data. Benefits of these linked data include the ability to investigate a broader range of research questions than with a single dataset. Characters with spaces= 1941 (limit is 1950)

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