2016
DOI: 10.1007/s10198-016-0769-2
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Assessing asthma severity based on claims data: a systematic review

Abstract: IntroductionAsthma is one of the most common chronic diseases in Germany. Substantial economic evaluation of asthma cost requires knowledge of asthma severity, which is in general not part of claims data. Algorithms need to be defined to use this data source.Aims and objectivesThe aim of this study was to systematically review the international literature to identify algorithms for the stratification of asthma patients according to disease severity based on available information in claims data.MethodsA systema… Show more

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Cited by 38 publications
(33 citation statements)
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“…The algorithm has been developed using Canadian administrative databases and has been validated against the Canadian consensus guidelines for the definition of asthma severity. In general, this definition is concordant with the definition proposed by the joint European Respiratory Society/American Thoracic Society Task Force on severe asthma [22], is similar to other claims-based definitions [23], and has been used in multiple previous studies [24][25][26]. In summary, healthcare records in a patient-year were considered as being compatible with severe asthma based on a combination of high doses of inhaled corticosteroid dispensed (defined as >1,000μg prednisone-equivalent), frequent filled prescriptions of inhaled short-acting beta agonists (SABA), the filled prescriptions of other controller therapies, and markers of exacerbations such as emergency department visits and hospital admissions.…”
Section: Assessing Asthma Severitysupporting
confidence: 77%
“…The algorithm has been developed using Canadian administrative databases and has been validated against the Canadian consensus guidelines for the definition of asthma severity. In general, this definition is concordant with the definition proposed by the joint European Respiratory Society/American Thoracic Society Task Force on severe asthma [22], is similar to other claims-based definitions [23], and has been used in multiple previous studies [24][25][26]. In summary, healthcare records in a patient-year were considered as being compatible with severe asthma based on a combination of high doses of inhaled corticosteroid dispensed (defined as >1,000μg prednisone-equivalent), frequent filled prescriptions of inhaled short-acting beta agonists (SABA), the filled prescriptions of other controller therapies, and markers of exacerbations such as emergency department visits and hospital admissions.…”
Section: Assessing Asthma Severitysupporting
confidence: 77%
“…Asthma severity classification was mainly based on Leidy criteria [ 32 , 33 ]. This algorithm has been used previously in other administrative claims studies [ 34 36 ] and is based on the number of β2-agonist inhalers and oral corticosteroid (OCS) fills used during the year of cost analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Included patients were also required to have evidence of an asthma diagnosis as indicated by meeting at least one of the following criteria in the baseline period or on the index date: 1) at least one inpatient claim or one emergency department (ED) claim with a primary diagnosis for asthma (ICD-9-CM code 493.0x, 493.1x, or 493.9x) as specified in the Healthcare Effectiveness Data and Information Set (HEDIS) claims-based definition for persistent asthma. 19 Given the potential for misclassification using the HEDIS criteria, asthma was also identified in patients with; 2) two or more other (i.e., non-ED) outpatient medical claims with an asthma diagnosis or; 3) at least one inpatient or outpatient medical claim with an asthma diagnosis along with at least one outpatient prescription claim for an asthma medication, including immunomodulators, inhaled corticosteroids (ICS), long-acting beta agonists (LABAs), ICS/LABA combinations, leukotriene modulators, mast cell stabilizers, short-acting beta agonists (SABAs), or xanthines.…”
Section: Methodsmentioning
confidence: 99%