Changes in the accuracy of administrative data for the detection of surgical site infections

Author(s):  
Brian T. Bucher ◽  
Meng Yang ◽  
Julie Arndorfer ◽  
Cherie Frame ◽  
Jan Orton ◽  
...  

Abstract We performed a retrospective analysis of the changes in accuracy of International Classification of Diseases, Clinical Modification (ICD-CM) diagnosis codes for colectomy and hysterectomy surgical site infection surveillance. After the transition from ICD-CM ninth edition to tenth edition codes, there was no significant change in the accuracy of these codes for SSI surveillance.

2010 ◽  
Vol 31 (05) ◽  
pp. 544-547 ◽  
Author(s):  
Margaret A. Olsen ◽  
Victoria J. Fraser

We compared surveillance of surgical site infection (SSI) after major breast surgery by using a combination of International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes and microbiology-based surveillance. The sensitivity of the coding algorithm for identification of SSI was 87.5%, and the sensitivity of wound culture for identification of SSI was 78.1%. Our results suggest that SSI surveillance can be reliably performed using claims data.


2020 ◽  
Vol 41 (12) ◽  
pp. 1461-1463
Author(s):  
Mohammed A. Alsuhaibani ◽  
Mohammed A. Alzunitan ◽  
Kyle E. Jenn ◽  
Michael B. Edmond ◽  
Angelique M. Dains ◽  
...  

AbstractWe performed a retrospective analysis of the impact of using the International Classification of Diseases, Tenth Revision procedure coding system (ICD-10) or current procedural terminology (CPT) codes to calculate surgical site infection (SSI) rates. Denominators and SSI rates vary depending on the coding method used. The coding method used may influence interhospital performance comparisons.


Author(s):  
Lauren Gilstrap ◽  
Rishi K. Wadhera ◽  
Andrea M. Austin ◽  
Stephen Kearing ◽  
Karen E. Joynt Maddox ◽  
...  

BACKGROUND In January 2011, Centers for Medicare and Medicaid Services expanded the number of inpatient diagnosis codes from 9 to 25, which may influence comorbidity counts and risk‐adjusted outcome rates for studies spanning January 2011. This study examines the association between (1) limiting versus not limiting diagnosis codes after 2011, (2) using inpatient‐only versus inpatient and outpatient data, and (3) using logistic regression versus the Centers for Medicare and Medicaid Services risk‐standardized methodology and changes in risk‐adjusted outcomes. METHODS AND RESULTS Using 100% Medicare inpatient and outpatient files between January 2009 and December 2013, we created 2 cohorts of fee‐for‐service beneficiaries aged ≥65 years. The acute myocardial infarction cohort and the heart failure cohort had 578 728 and 1 595 069 hospitalizations, respectively. We calculate comorbidities using (1) inpatient‐only limited diagnoses, (2) inpatient‐only unlimited diagnoses, (3) inpatient and outpatient limited diagnoses, and (4) inpatient and outpatient unlimited diagnoses. Across both cohorts, International Classification of Diseases, Ninth Revision ( ICD‐9 ) diagnoses and hierarchical condition categories increased after 2011. When outpatient data were included, there were no significant differences in risk‐adjusted readmission rates using logistic regression or the Centers for Medicare and Medicaid Services risk standardization. A difference‐in‐differences analysis of risk‐adjusted readmission trends before versus after 2011 found that no significant differences between limited and unlimited models for either cohort. CONCLUSIONS For studies that span 2011, researchers should consider limiting the number of inpatient diagnosis codes to 9 and/or including outpatient data to minimize the impact of the code expansion on comorbidity counts. However, the 2011 code expansion does not appear to significantly affect risk‐adjusted readmission rate estimates using either logistic or risk‐standardization models or when using or excluding outpatient data.


2019 ◽  
Vol 101 (7) ◽  
pp. 463-471
Author(s):  
JLC Wong ◽  
CWY Ho ◽  
G Scott ◽  
JT Machin ◽  
TWR Briggs ◽  
...  

Introduction Surgical site infections are associated with increased morbidity and mortality in patients. The Getting It Right First Time surgical site infection programme set up a national survey to review surgical site infection rates in surgical units in England. The objectives were for frontline clinicians to assess the rates of infection following selected procedures, to examine the risk of significant complications and to review current practice in the prevention of surgical site infection. Methods A national survey was launched in April 2017 to assess surgical site infections within 13 specialties: breast surgery, cardiothoracic surgery, cranial neurosurgery, ear, nose and throat surgery, general surgery, obstetrics and gynaecology, ophthalmology, oral and maxillofacial surgery, orthopaedic surgery, paediatric surgery, spinal surgery, urology and vascular surgery. All participating trusts prospectively identified and collected supporting information on surgical site infections diagnosed within the six-month study period. Results Data were received from 95 NHS trusts. A total of 1807 surgical site infection cases were reported. There were variations in rates reported by trusts across specialties and procedures. Reoperations were reported in 36.2% of all identified cases, and surgical site infections are associated with a delayed discharge rate of 34.1% in our survey. Conclusion The Getting It Right First Time surgical site infection programme has introduced a different approach to infection surveillance in England. Results of the survey has demonstrated variation in surgical site infection rates among surgical units, raised the importance in addressing these issues for better patient outcomes and to reduce the financial burden on the NHS. Much work remains to be done to improve surgical site infection surveillance across surgical units and trusts in England.


2018 ◽  
Vol 4 (1) ◽  
pp. 77-78
Author(s):  
Timothy Beukelman ◽  
Fenglong Xie ◽  
Ivan Foeldvari

Juvenile localised scleroderma is believed an orphan autoimmune disease, which occurs 10 times more often than systemic sclerosis in childhood and is believed to have a prevalence of 1 per 100,000 children. To gain data regarding the prevalence of juvenile localised scleroderma, we assessed the administrative claims data in the United States using the International Classification of Diseases, Ninth Revision diagnosis codes. We found an estimated prevalence in each year ranging from 3.2 to 3.6 per 10,000 children. This estimate is significantly higher as found in previous studies.


2017 ◽  
Vol 24 (3) ◽  
pp. 202-208 ◽  
Author(s):  
Shana M Machado ◽  
Erika H Wilson ◽  
John O Elliott ◽  
Kim Jordan

Introduction Intensivist involvement for patients with sepsis is associated with decreased complications and mortality, and lower hospital resource utilization, but few studies have evaluated outcomes for patients exposed to electronic intensive care unit (eICU) telemedicine sepsis management in the emergency department (ED). In this study, we assess whether eICU cart exposure in the ED improved compliance with components of the 2010 Surviving Sepsis Campaign bundles, length of stay (LOS), disposition and hospital costs. Methods An institutional review board-approved, retrospective cohort study was completed on patients with confirmed sepsis who presented to our ED from July 2010 through February 2013. Results Of 711 patient ED encounters, 314 cases met criteria for analysis (95 exposed and 219 non-exposed). Patient cohorts had similar demographics and comorbid International Classification of Diseases, Ninth Edition (ICD-9) diagnoses. The exposed cohort received antibiotics more quickly (122.3 minutes ±83.3 versus 163.4 minutes ±204.4, p = 0.043) and were more likely to have lactic acid levels drawn within six hours (98.9% vs. 90%, p = 0.019). The exposed cohort had a shortened ED LOS (in days) 0.08 ± 0.28 versus 0.16 ± 0.37, p = 0.036. Hospital LOS, disposition and death were similar in both cohorts. Total hospital costs for the exposed cohort were lower and less variable (US$19,713 ± 16,550 vs. US$24,364 ± 25068), but this was not significant ( p = 0.274). Discussion Our findings suggest that in individuals with confirmed sepsis, ED exposure to a telemedicine-based eICU cart impacted adherence to aspects of the Surviving Sepsis Campaign recommended bundle, but did not impact overall survival and medical costs.


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.


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 ◽  
...  

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