Shefali Dujari1, Santosh Gummidipundi2, Zihuai He2, Carl A Gold1. 1. Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA. 2. Quantitative Sciences Unit, Stanford University, Stanford, CA, USA.
Abstract
OBJECTIVE: To validate the use of administrative data to identify patients with bacterial meningitis and quantify the rate of dexamethasone administration as defined in the American Academy of Neurology Inpatient and Emergency Care Quality Measurement Set. METHODS: The Vizient Clinical Data Base and Resource Manager was used to identify patients with International Classification of Diseases, Tenth Revision (ICD-10) codes for bacterial meningitis from October 2015 to June 2019. Chart review was performed on patients identified at a single quaternary-care hospital. The positive predictive value (PPV) of Vizient was determined. Demographic, clinical, and laboratory data were assessed using descriptive statistics. RESULTS: Of all hospitals that submitted complete data to Vizient during the study period, a median of 19 patients per hospital had ICD-10 codes for bacterial meningitis in the 45-month period. We identified 79 patients using Vizient at our institution of whom 69 had a diagnosis of bacterial meningitis confirmed by chart review (PPV = 87%). 15 patients were eligible to receive dexamethasone per the quality measurement set. Six of these patients (40%) received dexamethasone. CONCLUSION: It is feasible to use the Vizient Clinical Data Base and Resource Manager to identify patients with bacterial meningitis. Due to low prevalence across multiple institutions and high rate of exclusion criteria at our institution, this study suggests that the rate of dexamethasone administration in bacterial meningitis may be an unreliable indicator of quality of care provided by inpatient neurologists. The creation of a registry for hospitalized neurology patients could enhance development of future quality measures.
OBJECTIVE: To validate the use of administrative data to identify patients with bacterial meningitis and quantify the rate of dexamethasone administration as defined in the American Academy of Neurology Inpatient and Emergency Care Quality Measurement Set. METHODS: The Vizient Clinical Data Base and Resource Manager was used to identify patients with International Classification of Diseases, Tenth Revision (ICD-10) codes for bacterial meningitis from October 2015 to June 2019. Chart review was performed on patients identified at a single quaternary-care hospital. The positive predictive value (PPV) of Vizient was determined. Demographic, clinical, and laboratory data were assessed using descriptive statistics. RESULTS: Of all hospitals that submitted complete data to Vizient during the study period, a median of 19 patients per hospital had ICD-10 codes for bacterial meningitis in the 45-month period. We identified 79 patients using Vizient at our institution of whom 69 had a diagnosis of bacterial meningitis confirmed by chart review (PPV = 87%). 15 patients were eligible to receive dexamethasone per the quality measurement set. Six of these patients (40%) received dexamethasone. CONCLUSION: It is feasible to use the Vizient Clinical Data Base and Resource Manager to identify patients with bacterial meningitis. Due to low prevalence across multiple institutions and high rate of exclusion criteria at our institution, this study suggests that the rate of dexamethasone administration in bacterial meningitis may be an unreliable indicator of quality of care provided by inpatient neurologists. The creation of a registry for hospitalized neurology patients could enhance development of future quality measures.
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