Classification algorithms to improve the accuracy of identifying patients hospitalized with community-acquired pneumonia using administrative data.
SUMMARYIn epidemiological studies of community-acquired pneumonia (CAP) that utilize administrative data, cases are typically defined by the presence of a pneumonia hospital discharge diagnosis code. However, not all such hospitalizations represent true CAP cases. We identified 3991 hospitalizations...
| Publicado en: | Epidemiology & Infection Vol. 139; no. 9; pp. 1296 - 1307 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Cambridge University Press
Sep2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104668687&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104668687 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09502688 2S0 jtl: Epidemiology & Infection issn: 09502688 maglogo: N pubinfo: dt: Sep2011 vid: 139 iid: 9 pid: 15979 pub: Cambridge University Press artinfo: ui: 104668687 2011233472 10.1017/S0950268810002529 NLM21087538 104668687 ppf: 1296 ppct: 11 formats: tig: atl: Classification algorithms to improve the accuracy of identifying patients hospitalized with community-acquired pneumonia using administrative data. aug: au: Yu O Nelson JC Bounds L Jackson LA affil: Biostatistics Unit, Group Health Research Institute, Seattle, WA, USA. sug: subj: Community-Acquired Infections Classification Community-Acquired Infections Epidemiology Pneumonia Classification Pneumonia Epidemiology Adolescence Adult Aged Aged, 80 and Over Classification Algorithms Child Child, Preschool Community-Acquired Infections Diagnosis Female Hospitalization Statistics and Numerical Data Infant Infant, Newborn Male Middle Age Pneumonia Diagnosis Predictive Value of Tests Sensitivity and Specificity Adolescent: 13-18 years Adult: 19-44 years Aged: 65+ years Aged, 80 & over Child: 6-12 years Child, Preschool: 2-5 years Infant: 1-23 months Infant, Newborn: birth-1 month Middle Aged: 45-64 years Female Male ab: SUMMARYIn epidemiological studies of community-acquired pneumonia (CAP) that utilize administrative data, cases are typically defined by the presence of a pneumonia hospital discharge diagnosis code. However, not all such hospitalizations represent true CAP cases. We identified 3991 hospitalizations during 1997-2005 in a managed care organization, and validated them as CAP or not by reviewing medical records. To improve the accuracy of CAP identification, classification algorithms that incorporated additional administrative information associated with the hospitalization were developed using the classification and regression tree analysis. We found that a pneumonia code designated as the primary discharge diagnosis and duration of hospital stay improved the classification of CAP hospitalizations. Compared to the commonly used method that is based on the presence of a primary discharge diagnosis code of pneumonia alone, these algorithms had higher sensitivity (81-98%) and positive predictive values (82-84%) with only modest decreases in specificity (48-82%) and negative predictive values (75-90%). pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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