Dataset Information

Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort.

ABSTRACT:

Background

Though insurance claims data are useful for researching asthma, they have important limitations, such as a diagnostic inaccuracy and a lack of clinical information. To overcome these drawbacks, we used the novel method by merging the clinical data from our asthma cohort with the National Health Insurance (NHI) claims data.

Methods and results

Longitudinal analysis of asthma-related healthcare use from the NHI claims database, merged with data of 736 patients registered in a Korean asthma cohort, was conducted for three consecutive years from registration of the cohort. Asthma-related asthma healthcare referred to outpatient and emergency department visits, hospitalizations, and the use of systemic corticosteroids. Univariate and multivariate logistic regression analysis was used to evaluate risk factors for asthma-related healthcare. Over three years after enrollment, many patients changed from tertiary to primary/secondary hospitals with a lack of maintenance of inhaled corticosteroid-based controllers. An independent risk factor for emergency visits was a previous history of asthma exacerbation. In hospitalizations, old age and Asthma Control Test (ACT) score variability were independent risk factors. An independent risk factor for per person cumulative duration of systemic corticosteroids was the FEV1 (Forced expiratory volume in one second)%. The use of systemic corticosteroids was independently associated with being female, the FEV1%, and ACT score variability.

Conclusion

We found that old age, being female, long-standing asthma, a low FEV1%, asthma brittleness, asthma drug compliance, and a history of asthma exacerbation were independent risk factors for increased asthma-related healthcare use in Korea.

SUBMITTER: Lee T

PROVIDER: S-EPMC4232512 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort.

Lee Taehoon T Kim Jinhee J Kim Sujeong S Kim Kyoungjoo K Park Yunjin Y Kim Yuri Y Lee Yoon Su YS Kwon Hyouk-Soo HS Kim Sae-Hoon SH Chang Yoon-Seok YS Cho You Sook YS Jang An-Soo AS Park Jung-Won JW Nahm Dong-Ho DH Yoon Ho-Joo HJ Cho Sang-Heon SH Cho Young-Joo YJ Choi Byoung Whui BW Moon Hee-Bom HB Kim Tae-Bum TB

PloS one 20141114 11

<h4>Background</h4>Though insurance claims data are useful for researching asthma, they have important limitations, such as a diagnostic inaccuracy and a lack of clinical information. To overcome these drawbacks, we used the novel method by merging the clinical data from our asthma cohort with the National Health Insurance (NHI) claims data.<h4>Methods and results</h4>Longitudinal analysis of asthma-related healthcare use from the NHI claims database, merged with data of 736 patients registered ...[more]

PMID: 25397972

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Dataset Information

Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort.

Background

Methods and results

Conclusion

Publications

Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort.

Similar Datasets

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