Evaluation of International Classification of Diseases, Ninth Revision, Clinical Modification Codes for Reporting Methicillin-Resistant Staphylococcus aureus Infections at a Hospital in Illinois

2010 ◽  
Vol 31 (05) ◽  
pp. 463-468 ◽  
Author(s):  
Melissa K. Schaefer ◽  
Katherine Ellingson ◽  
Craig Conover ◽  
Alicia E. Genisca ◽  
Donna Currie ◽  
...  

Background. States, including Illinois, have passed legislation mandating the use of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for reporting healthcare-associated infections, such as methicillin-resistant Staphylococcus aureus (MRSA). Objective. To evaluate the sensitivity of ICD-9-CM code combinations for detection of MRSA infection and to understand implications for reporting. Methods. We reviewed discharge and microbiology databases from July through August of 2005, 2006, and 2007 for ICD-9-CM codes or microbiology results suggesting MRSA infection at a tertiary care hospital near Chicago, Illinois. Medical records were reviewed to confirm MRSA infection. Time from admission to first positive MRSA culture result was evaluated to identify hospital-onset MRSA (HO-MRSA) infections. The sensitivity of MRSA code combinations for detecting confirmed MRSA infections was calculated using all codes present in the discharge record (up to 15); the effect of reviewing only 9 diagnosis codes, the number reported to the Centers for Medicare and Medicaid Services, was also evaluated. The sensitivity of the combination of diagnosis codes for detection of HO-MRSA infections was compared with that for community-onset MRSA (CO-MRSA) infections. Results. We identified 571 potential MRSA infections with the use of screening criteria; 403 (71%) were confirmed MRSA infections, of which 61 (15%) were classified as HO-MRSA. The sensitivity of MRSA code combinations was 59% for all confirmed MRSA infections when 15 diagnoses were reviewed compared with 31% if only 9 diagnoses were reviewed (P < .001). The sensitivity of code combinations was 33% for HO-MRSA infections compared with 62% for CO-MRSA infections (P < .001). Conclusions. Limiting analysis to 9 diagnosis codes resulted in low sensitivity. Furthermore, code combinations were better at revealing CO-MRSA infections than HO-MRSA infections. These limitations could compromise the validity of ICD-9-CM codes for interfacility comparisons and for reporting of healthcare-associated MRSA infections.

2013 ◽  
Vol 34 (11) ◽  
pp. 1218-1221 ◽  
Author(s):  
David M. Tehrani ◽  
Chenghua Cao ◽  
Homin Kwark ◽  
Susan S. Huang

We assess the impact of revised International Classification of Diseases, Ninth Revision, codes on methicillin-resistant Staphylococcus aureus burden in California hospitals. Codes were rapidly adopted, demonstrating new capture of colonization and continued relatively stable capture of infections. Nevertheless, despite new colonization codes, coded data demonstrated poor retention between serial hospitalizations.


BMJ Open ◽  
2014 ◽  
Vol 4 (4) ◽  
pp. e004956 ◽  
Author(s):  
Louise Holland-Bill ◽  
Christian Fynbo Christiansen ◽  
Sinna Pilgaard Ulrichsen ◽  
Troels Ring ◽  
Jens Otto Lunde Jørgensen ◽  
...  

2014 ◽  
Vol 10 (2) ◽  
pp. 97-103 ◽  
Author(s):  
Neeta K. Venepalli ◽  
Yusuf Qamruzzaman ◽  
Jianrong “John” Li ◽  
Yves A. Lussier ◽  
Andrew D. Boyd

Complex transitions and diagnosis codes associated with information loss within clinical oncology require additional attention during the transition to ICD-10-CM.


2008 ◽  
Vol 18 (S2) ◽  
pp. 92-100 ◽  
Author(s):  
Matthew J. Strickland ◽  
Tiffany J. Riehle-Colarusso ◽  
Jeffrey P. Jacobs ◽  
Mark D. Reller ◽  
William T. Mahle ◽  
...  

AbstractBackgroundAdministrative databases are often used for congenital cardiac disease research and evaluation, with little validation of the accuracy of the diagnostic codes.MethodsMetropolitan Atlanta Congenital Defects Program surveillance records were reviewed and classified using a version of the International Pediatric and Congenital Cardiac Code. Using this clinical nomenclature as the referent, we report the sensitivity and false positive fraction (1 – positive predictive value) of the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes for tetralogy of Fallot, transposition of the great arteries, and hypoplastic left heart syndrome.ResultsWe identified 4918 infants and foetuses with congenital cardiac disease from the surveillance records. Using only the International Classification of Diseases diagnosis codes, there were 280 records with tetralogy, 317 records with transposition, and 192 records with hypoplastic left heart syndrome. Based on the International Pediatric and Congenital Cardiac Code, 330 records were classified as tetralogy, 163 records as transposition, and 179 records as hypoplastic left heart syndrome. The sensitivity of International Classification of Diseases diagnosis codes was 83% for tetralogy, 100% for transposition, and 95% for hypoplastic left heart syndrome. The false positive fraction was 2% for tetralogy, 49% for transposition, and 11% for hypoplastic left heart syndrome.ConclusionsAnalyses based on International Classification of Diseases diagnosis codes may have substantial misclassification of congenital heart disease. Isolating the major defect is difficult, and certain codes do not differentiate between variants that are clinically and developmentally different.


2010 ◽  
Vol 31 (07) ◽  
pp. 694-700 ◽  
Author(s):  
LaRee A. Tracy ◽  
Jon P. Furuno ◽  
Anthony D. Harris ◽  
Mary Singer ◽  
Patricia Langenberg ◽  
...  

Objective.To develop and validate an algorithm to identify and classify noninvasive infections due toStaphylococcus aureusby using positive clinical culture results and administrative data.Design.Retrospective cohort study.Setting.Veterans Affairs Maryland Health Care System.Methods.Data were collected retrospectively on allS. aureusclinical culture results from samples obtained from nonsterile body sites during October 1998 through September 2008 and associated administrative claims records. An algorithm was developed to identify noninvasive infections on the basis of a uniqueS. aureus-positive culture result from a nonsterile site sample with a matchingInternational Classification of Diseases, Ninth Revision (ICD-9-CM), code for infection at time of sampling. Medical records of a subset of cases were reviewed to find the proportion of true noninvasive infections (cases that met the Centers for Disease Control and Prevention National Healthcare Safety Network [NHSN] definition of infection). Positive predictive value (PPV) and negative predictive value (NPV) were calculated for all infections and according to body site of infection.Results.We identified 4,621 uniqueS. aureus-positive culture results, of which 2,816 (60.9%) results met our algorithm definition of noninvasiveS. aureusinfection and 1,805 (39.1%) results lacked a matchingICD-9-CMcode. Among 96 cases that met our algorithm criteria for noninvasiveS. aureusinfection, 76 also met the NHSN criteria (PPV, 79.2% [95% confidence interval, 70.0%–86.1%]). Among 98 cases that failed to meet the algorithm criteria, 80 did not meet the NHSN criteria (NPV, 81.6% [95% confidence interval, 72.8%–88.0%]). The PPV of all culture results was 55.4%. The algorithm was most predictive for skin and soft-tissue infections and bone and joint infections.Conclusion.When culture-based surveillance methods are used, the addition of administrativeICD-9-CMcodes for infection can increase the PPV of true noninvasiveS. aureusinfection over the use of positive culture results alone.


2010 ◽  
Vol 31 (7) ◽  
pp. 694-700 ◽  
Author(s):  
LaRee A. Tracy ◽  
Jon P. Furuno ◽  
Anthony D. Harris ◽  
Mary Singer ◽  
Patricia Langenberg ◽  
...  

Objective.To develop and validate an algorithm to identify and classify noninvasive infections due to Staphylococcus aureus by using positive clinical culture results and administrative data.Design.Retrospective cohort study.Setting.Veterans Affairs Maryland Health Care System.Methods.Data were collected retrospectively on all S. aureus clinical culture results from samples obtained from nonsterile body sites during October 1998 through September 2008 and associated administrative claims records. An algorithm was developed to identify noninvasive infections on the basis of a unique S. aureus-positive culture result from a nonsterile site sample with a matching International Classification of Diseases, Ninth Revision (ICD-9-CM), code for infection at time of sampling. Medical records of a subset of cases were reviewed to find the proportion of true noninvasive infections (cases that met the Centers for Disease Control and Prevention National Healthcare Safety Network [NHSN] definition of infection). Positive predictive value (PPV) and negative predictive value (NPV) were calculated for all infections and according to body site of infection.Results.We identified 4,621 unique S. aureus-positive culture results, of which 2,816 (60.9%) results met our algorithm definition of noninvasive S. aureus infection and 1,805 (39.1%) results lacked a matching ICD-9-CM code. Among 96 cases that met our algorithm criteria for noninvasive S. aureus infection, 76 also met the NHSN criteria (PPV, 79.2% [95% confidence interval, 70.0%–86.1%]). Among 98 cases that failed to meet the algorithm criteria, 80 did not meet the NHSN criteria (NPV, 81.6% [95% confidence interval, 72.8%–88.0%]). The PPV of all culture results was 55.4%. The algorithm was most predictive for skin and soft-tissue infections and bone and joint infections.Conclusion.When culture-based surveillance methods are used, the addition of administrative ICD-9-CM codes for infection can increase the PPV of true noninvasive S. aureus infection over the use of positive culture results alone.


Sign in / Sign up

Export Citation Format

Share Document