scholarly journals Validity of Hospital Discharge Diagnosis Codes for Stroke

Stroke ◽  
2014 ◽  
Vol 45 (11) ◽  
pp. 3219-3225 ◽  
Author(s):  
Sydney A. Jones ◽  
Rebecca F. Gottesman ◽  
Eyal Shahar ◽  
Lisa Wruck ◽  
Wayne D. Rosamond
Keyword(s):  
Hospital Discharge ◽  
Discharge Diagnosis ◽  
Hospital Discharge Diagnosis ◽  
Diagnosis Codes

The Accuracy of Hospital Discharge Diagnosis Codes for Major Birth Defects

2016 ◽  
Vol 22 (3) ◽  
pp. E9-E19 ◽  
Author(s):  
Jason L. Salemi ◽  
Jean Paul Tanner ◽  
Diana Sampat ◽  
Suzanne B. Anjohrin ◽  
Jane A. Correia ◽  
...  
Keyword(s):  
Hospital Discharge ◽  
Birth Defects ◽  
Discharge Diagnosis ◽  
Hospital Discharge Diagnosis ◽  
Diagnosis Codes

ICD-10 hospital discharge diagnosis codes were sensitive for identifying pulmonary embolism but not deep vein thrombosis

2010 ◽  
Vol 63 (7) ◽  
pp. 790-797 ◽  
Author(s):  
Pierre Casez ◽  
José Labarère ◽  
Marie-Antoinette Sevestre ◽  
Myriam Haddouche ◽  
Xavier Courtois ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Deep Vein Thrombosis ◽  
Hospital Discharge ◽  
Discharge Diagnosis ◽  
Vein Thrombosis ◽  
Hospital Discharge Diagnosis ◽  
Diagnosis Codes ◽  
Icd 10 ◽  
Deep Vein

Cancer risk after a hospital discharge diagnosis of endometriosis

1997 ◽  
Vol 176 (3) ◽  
pp. 572-579 ◽  
Author(s):  
Louise A. Brinton ◽  
Gloria Gridley ◽  
Ingemar Persson ◽  
John Baron ◽  
Agneta Bergqvist
Keyword(s):  
Cancer Risk ◽  
Hospital Discharge ◽  
Discharge Diagnosis ◽  
Hospital Discharge Diagnosis

Can Hospital Discharge Diagnosis be used for Surveillance of Bacteremia? A Data Quality Study of a Danish Hospital Discharge Registry

1998 ◽  
Vol 19 (3) ◽  
pp. 175-180 ◽  
Author(s):  
Kreesten Meldgaard Madsen ◽  
Henrik Carl Schønheyder ◽  
Brian Kristensen ◽  
Gunnar Lauge Nielsen ◽  
Henrik Toft Sørensen
Keyword(s):  
Data Quality ◽  
Hospital Discharge ◽  
Blood Cultures ◽  
Discharge Diagnosis ◽  
Reference Standard ◽  
Urban Hospital ◽  
Hospital Discharge Registry ◽  
Hospital Discharge Diagnosis ◽  
Danish Hospital

AbstractObjective:To assess the data quality of septicemia and sepsis registration in a hospital discharge registry in the County of Northern Jutland, Denmark.Design:Comparison of data from the discharge registry of an 880-bed, public, urban hospital in the County of Northern Jutland with data from a computerized bac-teremia database at the regional department of clinical microbiology.Setting:Urban hospital with approximately 45,000 admissions per year.Patients:The study included 406 episodes of bac-teremia in the bacteremia database and 83 discharges with the diagnosis of septicemia registered in the hospital discharge registry between January 1, 1994, and December 31, 1994.Interventions:None.Results:Eighteen episodes were registered in both the hospital discharge registry and the bacteremia database. Using the bacteremia database as reference standard, the sensitivity for the diagnosis of septicemia in the hospital discharge registry was 4.4% (18/406; 95% confidence intervals [CI95, 2.4%-6.4%]). By review of hospital records, we estimated the positive predictive value of septicemia registration in the hospital discharge registry as 21.7% (18/83; CI95, 12.8%-30.5%). No blood culture had been obtained in 44.4% (36/81; CI95, 33.6%-55.3%) of the cases with a discharge diagnosis of septicemia. In 33.3% (27/81; CI95, 23.1%-43.6%), the discharge diagnosis of septicemia was given, although blood cultures were negative.Conclusions:The hospital discharge registry revealed numerous misclassifications, and the system was found not suited for surveillance of, or research in, bacteremia at present

Can Hospital Discharge Diagnosis Be Used for Surveillance of Bacteremia? A Data Quality Study of a Danish Hospital Discharge Registry

1998 ◽  
Vol 19 (3) ◽  
pp. 175-180 ◽  
Author(s):  
Kreesten Meldgaard Madsen ◽  
Henrik Carl Schønheyder ◽  
Brian Kristensen ◽  
Gunnar Lauge Nielsen ◽  
Henrik Toft Sørensen
Keyword(s):  
Data Quality ◽  
Hospital Discharge ◽  
Discharge Diagnosis ◽  
Hospital Discharge Registry ◽  
Hospital Discharge Diagnosis ◽  
Quality Study ◽  
Danish Hospital
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