Megin C Nichols1, Joseph Bareta2, Alexander Coyle3, Michael Landen4. 1. New Mexico Department of Health, Active Bacterial Core Surveillance, Santa Fe, NM; Current affiliation: Centers for Disease Control and Prevention, Atlanta, GA. 2. New Mexico Department of Health, Active Bacterial Core Surveillance, Santa Fe, NM. 3. New Mexico Department of Health, Emerging Infections Program, Santa Fe, NM. 4. New Mexico Department of Health, Santa Fe, NM.
Abstract
OBJECTIVE: Invasive pneumococcal disease (IPD) surveillance systems monitor morbidity, mortality, and vaccine impact; accurate surveillance is important to detect changes in epidemiology. We evaluated completeness of IPD reporting in New Mexico by comparing data from the Hospital Inpatient Discharge Database (HIDD) and the New Mexico Active Bacterial Core Surveillance (ABCs) program. METHODS: We linked data from the HIDD and the ABCs program. We defined cases of IPD in the HIDD among New Mexico residents with hospitalizations during 2007-2009 as specific (320.1 or 038.2) or nonspecific (481, 320.2, or 041.2) using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. To validate if HIDD records that could not be matched to ABCs data were true IPD cases, we reviewed laboratory data and determined if Streptococcus pneumoniae (S. pneumoniae) had been isolated from a sterile body site. RESULTS: We examined 732 HIDD records for cases that were not matched in the ABCs database; of such records, S. pneumoniae was isolated from a sterile body site in 10 HIDD records. CONCLUSION: ABCs data detected the majority of IPD cases in New Mexico. Laboratory and medical record review is essential when using HIDD data because ICD-9-CM coding alone does not ensure data accuracy. The addition of IPD cases to the ABCs program from the HIDD was minimally beneficial to active surveillance and reporting completeness in New Mexico. States that rely exclusively on passive reporting and that have access to HIDD data might use linkages of pneumococcal and IPD-specific ICD-9-CM-coded HIDD data to improve IPD surveillance and case ascertainment.
OBJECTIVE: Invasive pneumococcal disease (IPD) surveillance systems monitor morbidity, mortality, and vaccine impact; accurate surveillance is important to detect changes in epidemiology. We evaluated completeness of IPD reporting in New Mexico by comparing data from the Hospital Inpatient Discharge Database (HIDD) and the New Mexico Active Bacterial Core Surveillance (ABCs) program. METHODS: We linked data from the HIDD and the ABCs program. We defined cases of IPD in the HIDD among New Mexico residents with hospitalizations during 2007-2009 as specific (320.1 or 038.2) or nonspecific (481, 320.2, or 041.2) using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. To validate if HIDD records that could not be matched to ABCs data were true IPD cases, we reviewed laboratory data and determined if Streptococcus pneumoniae (S. pneumoniae) had been isolated from a sterile body site. RESULTS: We examined 732 HIDD records for cases that were not matched in the ABCs database; of such records, S. pneumoniae was isolated from a sterile body site in 10 HIDD records. CONCLUSION: ABCs data detected the majority of IPD cases in New Mexico. Laboratory and medical record review is essential when using HIDD data because ICD-9-CM coding alone does not ensure data accuracy. The addition of IPD cases to the ABCs program from the HIDD was minimally beneficial to active surveillance and reporting completeness in New Mexico. States that rely exclusively on passive reporting and that have access to HIDD data might use linkages of pneumococcal and IPD-specific ICD-9-CM-coded HIDD data to improve IPD surveillance and case ascertainment.
Authors: Kimberly J O'Malley; Karon F Cook; Matt D Price; Kimberly Raiford Wildes; John F Hurdle; Carol M Ashton Journal: Health Serv Res Date: 2005-10 Impact factor: 3.402
Authors: Tegan K Boehmer; Jennifer L Patnaik; Steven J Burnite; Tista S Ghosh; Ken Gershman; Richard L Vogt Journal: Public Health Rep Date: 2011 Jan-Feb Impact factor: 2.792