ABSTRACT
BACKGROUND: The epidemiology of tuberculosis (TB) has been assessed based on the data of the analysis of TB patients notified to the surveillance system in Korea. However, the national status of TB is not validated through this surveillance system. The objective is to determine the epidemiology of TB and to understand the accurate status of TB patients treated in private institutions. METHODS: Medical records of 53,579 patients who had been diagnosed with TB in 2008 were analyzed. RESULTS: Among 53,579 patients, the number of sputum smear positive cases was 15,639(29.2%) and the number of new cases was 39,191 (73.1%). The drug resistance rate of new cases was 5.3%, while the rate stood at 13.3% for TB patients with treatment history. The number of multi-drug resistant TB (MDR-TB) patients was 2,472 (4.6%), which consists of 2.9% of new cases and 9.3% of TB patients with prior treatment history. The number of extensively drug-resistant TB patients was 749 (1.4%), consisting of 1.1% of new cases and 2.2% of TB patients with prior treatment history. In terms of treatment outcomes, 66.4% of all TB patients, 70.5% of new cases, 64.4% of relapse cases, and 46.8% of MDR-TB cases were cured or completed. It was inferred that in 2008, the total number of TB patients reached 70,767, 145.6 per 100,000 people (95% confidence interval, 145.5~145.7). CONCLUSION: We conclude that the medical records review of the Health Insurance Review and Assessment Service (HIRA) data can be very effective in promoting the understanding of the current status of TB in private institutions.
Subject(s)
Humans , Data Collection , Disease Notification , Drug Resistance , Insurance, Health , Korea , Medical Records , Recurrence , Sputum , Tuberculosis , Tuberculosis, Multidrug-ResistantABSTRACT
BACKGROUND: The epidemiology of tuberculosis (TB) has been assessed based on the data of the analysis of TB patients notified to the surveillance system in Korea. However, the national status of TB is not validated through this surveillance system. The objective is to determine the epidemiology of TB and to understand the accurate status of TB patients treated in private institutions. METHODS: Medical records of 53,579 patients who had been diagnosed with TB in 2008 were analyzed. RESULTS: Among 53,579 patients, the number of sputum smear positive cases was 15,639(29.2%) and the number of new cases was 39,191 (73.1%). The drug resistance rate of new cases was 5.3%, while the rate stood at 13.3% for TB patients with treatment history. The number of multi-drug resistant TB (MDR-TB) patients was 2,472 (4.6%), which consists of 2.9% of new cases and 9.3% of TB patients with prior treatment history. The number of extensively drug-resistant TB patients was 749 (1.4%), consisting of 1.1% of new cases and 2.2% of TB patients with prior treatment history. In terms of treatment outcomes, 66.4% of all TB patients, 70.5% of new cases, 64.4% of relapse cases, and 46.8% of MDR-TB cases were cured or completed. It was inferred that in 2008, the total number of TB patients reached 70,767, 145.6 per 100,000 people (95% confidence interval, 145.5~145.7). CONCLUSION: We conclude that the medical records review of the Health Insurance Review and Assessment Service (HIRA) data can be very effective in promoting the understanding of the current status of TB in private institutions.
Subject(s)
Humans , Data Collection , Disease Notification , Drug Resistance , Insurance, Health , Korea , Medical Records , Recurrence , Sputum , Tuberculosis , Tuberculosis, Multidrug-ResistantABSTRACT
OBJECTIVE: A reference terminology is essential to achieve semantic interoperability and enhance the quality of health care. Reference terminologies that have achieved common acceptance contain many concepts that clinicians would not want in healthcare, which preclude their practical use in documentation of patient information. To solve the problems, this document proposes a reference terminology model which contains concepts that physicians can use satisfactorily. METHODS: We analyzed the structures of the UMLS and SNOMED CT. We also analyzed health care terms which had been collected by the Korea National Health Information Standard Committee. Based on the results of the analysis, we developed an object-oriented reference terminology model. And, we designed database schema with the model. RESULTS: Eight components of the UMLS and six components of the SNOMED CT were analyzed. The collected terms had various properties and mapping vocabularies according to the characteristics of their respective domains. A reference terminology model was developed from a three-level view using UML. A database schema was developed using ERD. CONCLUSION: This study mainly focuses on reference terminology modeling. It is hoped that this reference terminology modeling helps the semantic interoperable exchange of clinical documents as the basis of common EMR.