Methodology for Big Data Analysis Using Data from National Health Insurance Service: Preliminary Methodologic Study and Review about the Relationship between Sinus Surgery and Asthma.
- Author:
Seunghak YU
1
;
Jaewoon WEE
;
Jeong Whun KIM
;
Sungroh YOON
Author Information
- Publication Type:Original Article
- Keywords: Big data; Health insurance service; Relation study; Sinus surgery; asthma
- MeSH: Asthma*; Cohort Studies; Humans; Methods; National Health Programs*; Patient Selection; Sinusitis; Statistics as Topic*
- From:Journal of Rhinology 2015;22(1):28-33
- CountryRepublic of Korea
- Language:Korean
- Abstract: BACKGROUND AND OBJECTIVES: Sinus surgery has been reported to improve pulmonary function and decrease the use of asthma medications in patients with chronic rhinosinusitis and asthma. Most studies, however, have used a small number of patients and were conducted over a short period. To demonstrate a causal relationship between sinus surgery and asthma, a sufficient amount of patient data observed over a long period is required. To address the limitations of the existing approaches, we conducted a preliminary methodological study for large-scale data analysis using data from the National Health Insurance Service (NHIS) to suggest a basis for the effect of sinus surgery on asthma. MATERIALS AND METHODS: The data from NHIS consisted of unidentified medical histories of a sample cohort representing the whole nation over a period of nine years. We selected the following types of study samples: 1) patients with surgical codes for sinus surgery; 2) patients with disease codes for sinusitis; 3) patients with disease codes for asthma; and 4) patients with medication codes for asthma treatment. RESULTS: In this study, we applied a methodology for selection of subjects from big data to investigate the effect of sinus surgery on improving asthma in the future. We could include 152 subjects after the four-stage selection method from 1,025,340 patients. CONCLUSION: We could establish a method to select patients with history of sinus surgery and asthma treatment from a big data. This methodology using big data may contribute to identify relationship between sinus surgery and asthma treatment in the future.
