SynthesisThe European journal of health economics : HEPAC : health economics in prevention and care2017
Assessing asthma severity based on claims data: a systematic review.
Synthesis in The European journal of health economics : HEPAC : health economics in prevention and care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Prevalence and features of allergic bronchopulmonary aspergillosis, United States, 2016-2022.PloS one · 2025Article
- Medicaid Accountable Care Organizations and Disparities in Pediatric Asthma Care.JAMA pediatrics · 2024Article
- Health Insurance Type and Outpatient Specialist Care Among Children With Asthma.JAMA network open · 2024Article
- Differences in Health Care Utilization for Asthma by Children with Medicaid versus Private Insurance.Population health management · 2024Article
- Cost-utility of tiotropium in patients with severe asthma.Cost effectiveness and resource allocation : C/E · 2024Article
- Can markers of disease severity improve the predictive power of claims-based multimorbidity indices?Journal of the American Geriatrics Society · 2023Article
- Roles of real-world evidence in severe asthma treatment: challenges and opportunities.ERJ open research · 2023Article
- Observational
- Article
- Concomitant Medication Use With Xiyanping Injection and the Risk of Suspected Allergic Reactions: A Nested Case-Control Study Based on China's National Medical Insurance Database.Frontiers in pharmacology · 2022Article
- Cost-utility of triple versus dual inhaler therapy in moderate to severe asthma.BMC pulmonary medicine · 2021Article
- Cost-utility of as-needed ICS-formoterol versus to maintenance ICS in mild to moderate persistent asthma.BMC pulmonary medicine · 2021Article
- Developing and evaluating a pediatric asthma severity computable phenotype derived from electronic health records.The Journal of allergy and clinical immunology · 2021Article
- Trends in oral corticosteroids use in severe asthma: a 14-year population-based study.Respiratory research · 2021Article
- Short and long-term costs among women experiencing preterm labour or preterm birth: the German experience.BMC pregnancy and childbirth · 2018Article
- Uncovering Longitudinal Health Care Behaviors for Millions of Medicaid Enrollees: A Multistate Comparison of Pediatric Asthma Utilization.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
- Health care costs and resource utilization for different asthma severity stages in Colombia: a claims data analysis.The World Allergy Organization journal · 2018Article
- Using medication utilization information to develop an asthma severity classification model.BMC medical informatics and decision making · 2017Article
- The effect of DPP-4 inhibitors on asthma control: an administrative database study to evaluate a potential pathophysiological relationship.Pragmatic and observational research · 2017Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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 systematic literature review was conducted in September 2015 using the DIMDI SmartSearch, a meta search engine including several databases with a national and international scope, e.g. BIOSIS, MEDLINE, and EMBASE. Claims data based studies that categorize asthma patients according to their disease severity were identified.
resultsThe systematic research yielded 54 publications assessing asthma severity based on claims data. Thirty-nine studies used a standardized algorithm such as HEDIS, Leidy, the GINA based approach or CACQ. Sixteen publications applied a variety of different criteria for the severity categorisation such as asthma diagnoses, asthma-related drug prescriptions, emergency department visits, and hospitalisations.
conclusionThere is no best practice method for the categorisation of asthma severity with claims data. Rather, a combination of algorithms seems to be a pragmatic approach. A transfer to the German context is not entirely possible without considering particular conditions associated with German claims data.
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