Assessment of text documentation accompanying uncoded diagnoses in computerized health insurance claims in Japan

The Prevalence of Duplicate Prescription of Oral Antibiotic Drugs in Outpatient Care among People Insured by Corporate Health Insurance Societies in Japan

Inappropriate antimicrobial use is a global problem, especially because the use of antimicrobials in excess of appropriate doses is associated with increased antimicrobial resistance. Duplicate prescriptions are an issue contributing to inappropriate antimicrobial use. This study aimed to analyse antibiotic prescriptions during a specific month to examine the frequency of outpatients receiving duplicate antibiotic prescriptions and the associated determinants. Utilizing the Japan Medical Data Centre health insurance claim database, we retrospectively identified 527,110 insured individuals with at least one medicine prescription in October 2014. Data regarding age, gender, antibiotic drug usage, and health insurance status were extracted. Duplicate prescriptions entailed a patient receiving two or more prescriptions of systemic antibiotics from multiple facilities within one month. The risk factors for duplicate antibiotic prescriptions were evaluated using logistic regression analysis. Of the total sample, 131,709 individuals (25.0%) received antibiotics, and 24,529 of these individuals (18.6%) had duplicate prescriptions. Third-generation cephalosporins accounted for the largest proportion of prescriptions (37.4%). Duplicate prescriptions were significantly associated with sex, age, medical facilities, and health insurance status. These findings could help to identify patients at risk of duplicate antibiotic prescriptions, highlighting the need to promote proper antimicrobial use in both patients and medical professionals.

Development of eClaim system for private indemnity health insurance in South Korea: Compatibility and interoperability

South Korea has the mandatory National Health Insurance (NHI) and supplemental Private Indemnity Health Insurance (PIHI). According to the Financial Supervisory Service, the share of the population with PIHI increased to 66% in 2018 due to the financial burden. However, since the traditional PIHI claim workflow is based on the paper attachment method, it is a big burden to every stakeholder and limits the usability and accessibility of the claims data. To improve the traditional PIHI claim workflow, we developed the electronic claim (eClaim) service for the PIHI in Korea. We also applied the HL7^® (Health Level Seven) FHIR^® (Fast Healthcare Interoperability Resources) standard to ensure interoperability of the claims data. The proposed eClaim Service has been launched in 2017. It has been increased from 8155 in the first half of 2018 to 114,087 in the second half of 2020. Currently, 60 healthcare providers and 22 payers participated in this service. In this study, we proposed an eClaim workflow and service to improve the legacy system. The proposed method can be helpful to other entities planning for their own health insurance system and also applied to various practical purposes including value-based care, automated claim review, and clinical research.

Prefectural difference in spontaneous intracerebral hemorrhage incidence in Japan analyzed with publically accessible diagnosis procedure combination data: possibilities and limitations

OBJECTIVES

Annually reported, publically accessible Diagnosis Procedure Combination (DPC) data from the Japanese government is a part of the total DPC database of the Japanese medical reimbursement system for hospitalization. Although medical issues can be evaluated with these data promptly, the applicability of these data in epidemiological analyses has not been assessed.

METHODS

We performed analyses using only statistical indices reported on the a government website. As a preliminary step, the prefectural consistency of spontaneous intracerebral hemorrhage (sICH) was examined with prefectural mortality over 20 years. Then the prefectural incidence of sICH for four years was calculated, utilizing publically accessible DPC data. To determine its reliability, the consistency was examined, and correlations were analyzed with three prefectural factors expected to have an effect: the elderly rate, mortality due to sICH, and the non-DPC bed rate. In addition, a comparison model between prefectures with this method was developed by analyzing other prefecture-specific factors.

RESULTS

Prefectural mortality due to sICH and prefectural sICH incidence in the DPC database were both consistent over the years. Prefectural sICH incidence had a constant positive correlation with the elderly rate, a partial correlation with mortality due to sICH, but no correlation with the non-DPC bed rate, which is one of the major biases when utilizing the DPC database. In the comparison model, the factors of low income and alcohol consumption showed increased sICH incidence.

CONCLUSIONS

Although careful attention to its limitations is required, publically accessible DPC data will provide insights into epidemiological issues.