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Economic burden of asthma: a systematic review
Open accessAbstract
Background: Asthma is associated with enormous healthcare expenditures that include both direct and indirect costs. It is also associated with the loss of future potential earnings related to both morbidity and mortality. The objective of the study is to determine the burden of disease costs associated with asthma. Methods: We performed a systematic search of MEDLINE, EMBASE, CINAHL, CDSR, OHE-HEED, and Web of Science Databases between 1966 and 2008. Results: Sixty-eight studies met the inclusion criteria. Hospitalization and medications were found to be the most important cost driver of direct costs. Work and school loss accounted for the greatest percentage of indirect costs. The cost of asthma was correlated with comorbidities, age, and disease severity. Conclusion: Despite the availability of effective preventive therapy, costs associated with asthma are increasing. Strategies including education of patients and physicians, and regular follow-up are required to reduce the economic burden of asthma.
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Anenberg, S. C., Henze, D. K., Tinney, V., Kinney, P. L., Raich, W., Fann, N., Malley, C. S., Roman, H., Lamsal, L., Duncan, B., et al. (2018) · Environmental Health Perspectives · doi:10.1289/ehp3766 · Cited by 337
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Metadata
- Authors
- Bahadori, K., Doyle-Waters, M. M., Marra, C., Lynd, L., Alasaly, K., Swiston, J., & FitzGerald, J. M.
- Venue
- BMC Pulmonary Medicine
- Published
- 2009-05-19
- Volume
- 9
- Issue
- 1
- Pages
- 24-24
- ISSN
- 1471-2466 (ISSN-L)
- OpenAlex
- W2062346210
- Cited by
- 721
- References
- 0
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- gold
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- Bahadori, K., Doyle-Waters, M. M., Marra, C., Lynd, L., Alasaly, K., Swiston, J., & FitzGerald, J. M. (2009). Economic burden of asthma: a systematic review. BMC Pulmonary Medicine. https://doi.org/10.1186/1471-2466-9-24
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.