The Effect of Residential Area and Hospital Bed Size on the Use of Hospital in Other Regions for Cancer Inpatients

Kim, Sung‐Soo

doi:10.21032/jhis.2018.43.1.18

Cited by 2 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A remarkable improvement has been observed in the survival of patients with cancer (5‐year relative survival rate: 54.1% in 2001–2005 to 71.5% in 2016–2020) 5 . The expansion of insurance coverage for cancer care has significantly assisted economic accessibility, contributed to the reduction of catastrophic medical expenses for patients with cancer, 3,4 and provided them with various options, resulting in a major change in cancer care along with geographical characteristics and the development of transportation 6,7 . In addition, NHI covers a significant number of cancer treatments based on clinical and cost effectiveness, and the expansion of health insurance coverage is associated with a significant improvement in cancer care outcomes 8 …”

Section: Introductionmentioning

confidence: 99%

Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data

Choi

Kim

et al. 2023

Cancer Medicine

View full text Add to dashboard Cite

Background: Although strengthening coverage has improved cancer care, there are concerns related to medical distortion. Previous studies have only examined whether patients visit a specific hospital, and not the continuum of patients with cancer, resulting in a lack of evidence in South Korea. This study aimed to investigate the patterns in hospital type for cancer care and analyze their association with outcomes. Methods:The data for this study were obtained from the National Health Insurance Services Sampled Cohort database. This study included patients with four types of cancer (top four cancer incidence in 2020): gastric (3353), colorectal (2915), lung (1351), and thyroid (5158) cancer. The latent class mixed model was used to investigate cancer care patterns, and multiple regression or survival analysis was performed to examine medical cost, length of stay (LOS), and mortality. Results:The patterns in each cancer type were classified into two to four classes, namely, mainly visited clinics or hospitals, mainly visited general hospitals, mainly visited tertiary hospitals (MT), and tertiary to general hospitals through trajectory modeling based on the utilization of cancer care. Compared to the MT pattern, other patterns were generally associated with higher cost, LOS, and mortality. Conclusion:The patterns found in this study may be a more realistic way of defining patients with cancer in South Korea compared to previous studies, and its

show abstract

Section: Introductionmentioning

confidence: 99%

Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data

Choi

Kim

et al. 2023

Cancer Medicine

View full text Add to dashboard Cite

show abstract

Analysis of Variation of Length of Stay According to Comorbidities in Cancer Inpatient

Kim¹

2020

J Health Info Stat

View full text Add to dashboard Cite

Objectives: The present study was conducted to confirm the distribution of comorbidity among hospitalized cancer inpatients in Korea to analyze the variations in the length of stay (LOS). Methods: The subjects were patients with the principal diagnosis of malignant neoplasm (C00-C97) from the data of the Korean National Hospital Discharge In-depth Injury Survey (2006-2016) designed according to the complex sample survey. The dependent variable is the length of stay and the independent variables are comorbidities, demographic characteristics such as gender and age. The study was performed regression analysis, chi-square, t-test to find out what sort of influence such comorbidities have on the length of stay. Results: Among the hospitalized cancer patients, there were 74.7% of patients with comorbidity and the average length of stay was 12.1 days. The distribution of hospitalized cancer patients and their average length of stay displayed statistically significant differences according to the general characteristics. Furthermore, the major comorbidity that made significant impact on the length of stay were S00-T98, J00-J99, K00-K93, L00-L99 and F00-F99. Conclusions: Our results suggest that we need to consider major comorbidity to reduce hospital length of stay in cancer inpatient.

show abstract

The Effect of Residential Area and Hospital Bed Size on the Use of Hospital in Other Regions for Cancer Inpatients

Abstract: Background: The objectives of this study were to quantitatively assess the geographic heterogeneity of cancer prevalence in selected Western Countries and to explore the associations between its determinants.

Cited by 2 publications

References 31 publications

Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data

Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data

Analysis of Variation of Length of Stay According to Comorbidities in Cancer Inpatient

Contact Info

Product

Resources

About