ABSTRACT
Background: From 2020 to 2022, South Korea has experienced significant direct and indirect damage because of the coronavirus pandemic. Preventive measures aimed at controlling the spread of the virus have inadvertently limited healthcare accessibility for patients without COVID-19, leading to detrimental consequences, particularly for patients with chronic diseases. Hence, there is a growing need to comprehensively examine the changes in healthcare utilization among patients with chronic diseases owing to the COVID-19 pandemic, along with the associated factors and health outcomes. Methods: To examine changes in healthcare utilization among patients with chronic diseases and their impact on health outcomes, we used the NHIS database. Logistic regression analysis was used to investigate changes in healthcare utilization, and a two-part model was applied to explore the effects of reduced healthcare utilization on hospitalization status and length of hospital stay. Results: Since the onset of the pandemic, the likelihood of hospitalization has been 1.10 times higher than that during pre-pandemic times in the population groups with a 20 % decrease in outpatient healthcare utilization. Notably, individuals belonging to the low-income group exhibited a 1.77-fold higher likelihood of hospitalization than those in the high-income group. Furthermore, in cases where hospitalization could have been avoided, low-income individuals had an extended hospital stay of 16.7 days compared with high-income individuals. Conclusion: There is a need for a more proactive approach for classifying patients with chronic diseases based on various vulnerability factors to effectively respond to future novel infectious diseases and reduce the long-term burden on the nation.
ABSTRACT
Background: The COVID-19 pandemic substantially disrupted healthcare utilization patterns, globally. South Korea had been praised widely in its efforts to contain the spread of the pandemic, which may have contributed to a significantly smaller reduction in healthcare utilization compared to neighboring countries. However, it remains unknown how the COVID-19 pandemic impacted utilization patterns across population sub-groups, particularly vulnerable patient groups in South Korea. This paper quantifies the changes in healthcare utilization attributable to COVID-19 and the COVID-19 vaccination by sub-groups. Methods: An interrupted time series analysis was conducted to examine the impact of COVID-19 on healthcare utilization in South Korea from January 2016 to December 2022 using aggregated patient-level data from the national health insurance system that accounts for 99% of all healthcare services in South Korea. We applied negative binomial models adjusting for seasonality and serial correlation. Falsification tests were conducted to test the validity of breakpoints. Stratified analyses by type of healthcare services, age, sex, income level, health facility type, and avoidable/non-avoidable hospitalizations was performed, and we assessed differences in utilization trends between population groups across three phases of the pandemic. Findings: In early 2020, the COVID-19 pandemic caused a reduction in monthly volume of outpatient utilization by 15.7% [95% CI 13.3%-18.1%, p < 0.001] and inpatient utilization by 11.6% [10.1%-13.0%, p < 0.001]. Most utilization recovered and rebounded to pre-COVID-19 levels as of December 2022 although variations existed. We observed heterogeneity in the magnitude of relative changes in utilization across types of services, varying from a 42.7% [36.8%-48.0%, p < 0.001] decrease for pediatrics, a 23.4% [20.1%-26.5%%, p < 0.001] reduction in utilization of public health centers, and a 24.2% [21.2%-27.0%, p < 0.001] reduction in avoidable hospitalizations compared to the pre-pandemic period. Contrary to global trends, health utilization among the elderly population (65 and older) in South Korea saw only marginal reductions compared to other age groups. Similarly, Medicaid patients and lower income groups experienced a smaller reduction compared to higher income groups. Interpretation: The impact of the COVID-19 pandemic on healthcare utilization in South Korea was less pronounced compared to the global average. Utilization of vulnerable populations, including adults over 65 years old and lowest-income groups reduced less than other type of patients. Funding: No funding.
ABSTRACT
BACKGROUND AND OBJECTIVE: High-dose chemotherapy (HDCT) followed by autologous haematopoietic stem cell transplantation (HSCT) is widely used in paediatric cancer patients, but few data about noninfectious interstitial lung disease (ILD) following this treatment are available. Therefore, we aimed to evaluate the incidence, clinical features and risk factors of noninfectious ILD after HDCT in paediatric patients. METHODS: This was a retrospective cohort study of paediatric solid tumour patients who underwent HDCT and autologous HSCT between 1997 and 2012. ILD was diagnosed using clinical symptoms and radiography after excluding cardiac, renal and infectious causes. Risk factors were analysed using a Cox proportional hazard regression model. RESULTS: Three hundred and forty patients were enrolled, and the median age was 3 years (interquartile range 1-7). Eight patients (2.4%) were diagnosed with noninfectious ILD. The median duration of symptom onset was 30 months (range 7-74). Six (75%) of eight ILD patients died during the study period, even though steroids were administered for treatment. High-dose cyclophosphamide use (hazard ratio = 11.37, 95% confidence interval = 1.38-93.32, P = 0.023) and sex (hazard ratio = 0.10, 95% confidence interval = 0.01-0.84, P = 0.034) were associated with late-onset, noninfectious ILD upon multivariate analysis. CONCLUSION: The incidence of noninfectious ILD after HDCT and autologous HSCT was not negligible, and the clinical features of ILD showed late onset and a poor prognosis. Female gender and high-dose cyclophosphamide treatment may be risk factors for noninfectious ILD, but further studies with a larger number of ILD patients are suggested.
