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Original Articles
Comparative Analysis of the Trends in Medical Utilization of Cancer Inpatients in Korea
Hyun-Ju Lee, Sung-Soo Kim
Osong Public Health Res Perspect. 2017;8(5):342-350.   Published online October 31, 2017
DOI: https://doi.org/10.24171/j.phrp.2017.8.5.08
  • 3,485 View
  • 34 Download
AbstractAbstract PDF
Objectives

Cancer has attracted worldwide attention. The incidence and prevalence are increasing, and it is the main cause of death. The purpose of this study was to identify the characteristics of hospitalized cancer patients.

Methods

This study is a secondary data study using the Korean National Hospital Discharge In-depth Injury Survey Data conducted annually by the Korea Centers for Disease Control and Prevention. Using these data, we extracted inpatients who principal diagnosis is cancer for nine years from 2005 to 2013.

Results

According to the analysis, the annual trend of cancer inpatients is steadily increasing. In 2025, it is expected to increase to about 670,000 inpatients. A cancer diagnosis created a change in medical utilization depending on the characteristics of patients and hospital. Men are more at risk of cancer than women. The number of hospital beds and hospital days were inversely proportional to cancer inpatients. There was also a difference in the equity of medical utilization by region. Other cancer management policies should be based on sex.

Conclusion

Populations between the ages of 45 and 64 years should be a priority in cancer policy. Because of the long-term hospitalization of patients with death as the outcome, a terminal cancer patient care facility is needed. These conclusions can provide a basis for various health policies.

Analysis of Hospital Volume and Factors Influencing Economic Outcomes in Cancer Surgery: Results from a Population-based Study in Korea
Jung-A Lee, So-Young Kim, Keeho Park, Eun-Cheol Park, Jong-Hyock Park
Osong Public Health Res Perspect. 2017;8(1):34-46.   Published online February 28, 2017
DOI: https://doi.org/10.24171/j.phrp.2017.8.1.05
  • 4,210 View
  • 33 Download
  • 7 Crossref
AbstractAbstract PDF
Objectives

To evaluate associations between hospital volume, costs, and length of stay (LOS), and clinical and demographic outcome factors for five types of cancer resection. The main dependent variables were cost and LOS; the primary independent variable was volume.

Methods

Data were obtained from claims submitted to the Korean National Health Insurance scheme. We identified patients who underwent the following surgical procedures: pneumonectomy, colectomy, mastectomy, cystectomy, and esophagectomy. Hospital volumes were divided into quartiles.

Results

Independent predictors of high costs and long LOS included old age, low health insurance contribution, non-metropolitan residents, emergency admission, Charlson score > 2, public hospital ownership, and teaching hospitals. After adjusting for relevant factors, there was an inverse relationship between volume and costs/LOS. The highest volume hospitals had the lowest procedure costs and LOS. However, this was not observed for cystectomy.

Conclusion

Our findings suggest an association between patient and clinical factors and greater costs and LOS per surgical oncologic procedure, with the exception of cystectomy. Yet, there were no clear associations between hospitals’ cost of care and risk-adjusted mortality.

Citations

Citations to this article as recorded by  
  • Impact of hospital volume on failure to rescue for complications requiring reoperation after elective colorectal surgery: multicentre propensity score–matched cohort study
    Marie T Grönroos-Korhonen, Laura E Koskenvuo, Panu J Mentula, Taina P Nykänen, Selja K Koskensalo, Ari K Leppäniemi, Ville J Sallinen
    BJS Open.2024;[Epub]     CrossRef
  • Volume-outcome relationships in laryngeal trauma processes of care: a retrospective cohort study
    David Forner, Christopher W. Noel, Matthew P. Guttman, Barbara Haas, Danny Enepekides, Matthew H. Rigby, S. Mark Taylor, Avery B. Nathens, Antoine Eskander
    European Journal of Trauma and Emergency Surgery.2022; 48(5): 4131.     CrossRef
  • Association between Stroke Quality Assessments and Mortality within 30 Days among Patients Who Underwent Hemorrhagic Stroke Surgeries in South Korea
    Mi-Na Lee, Wonjeong Jeong, Sung-In Jang, Sohee Park, Eun-Cheol Park
    Cerebrovascular Diseases.2022; 51(1): 82.     CrossRef
  • Impact of surgeon and hospital factors on length of stay after colorectal surgery systematic review
    Zubair Bayat, Keegan Guidolin, Basheer Elsolh, Charmaine De Castro, Erin Kennedy, Anand Govindarajan
    BJS Open.2022;[Epub]     CrossRef
  • Crucial areas of the economic analysis of public cancer care
    D. A. Andreev, K. I. Polyakova, A. A. Zavyalov, T. N. Ermolaeva, A. G. Fisun, A. D. Ermolaeva, V. A. Dubovtseva, T. E. Maksimova
    FARMAKOEKONOMIKA. Modern Pharmacoeconomic and Phar.2020; 12(4): 310.     CrossRef
  • Initial Diagnosis of Colorectal Cancer through Colonoscopy or Emergent Surgery-Clinicopathological Features that Support Early Screening
    Konstantinos A Paschos, A Chatzigeorgiadis
    Hellenic Journal of Surgery.2020; 92(2): 51.     CrossRef
  • What Matters in the Performance of a Medial Institution?
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2017; 8(1): 1.     CrossRef
Determinants of the Length of Stay in Stroke Patients
Sang Mi Kim, Sung Wan Hwang, Eun-Hwan Oh, Jung-Kyu Kang
Osong Public Health Res Perspect. 2013;4(6):329-341.   Published online December 31, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.10.008
  • 3,305 View
  • 15 Download
  • 16 Crossref
AbstractAbstract PDF
Objectives
The study objective was to identify the factors that influence the length of stay (LOS) in hospital for stroke patients and to provide data for managing hospital costs by managing the LOS.
Methods
This study used data from the Discharge Injury Survey of the Korea Centers for Disease Control and Prevention, which included 17,364 cases from 2005 to 2008.
Result
The LOS for stroke, cerebral infarction, intracerebral hemorrhage, and subarachnoid hemorrhage was 18.6, 15.0, 28.9, and 25.3 days, respectively. Patients who underwent surgery had longer LOS. When patients were divided based on whether they had surgery, there was a 2.4-time difference in the LOS for patients with subarachnoid hemorrhage, 2.0-time difference for patients with cerebral infarction, and 1.4-time difference for patients with intracerebral hemorrhage. The emergency route of admission and other diagnosis increased LOS, whereas hypertension and diabetic mellitus reduced LOS.
Conclusion
In the present rapidly changing hospital environments, hospitals approach an efficient policy for LOS, to maintain their revenues and quality of assessment. If LOS is used as the indicator of treatment expenses, there is a need to tackle factors that influence the LOS of stroke patients for each disease group who are divided based on whether surgery is performed or not for the proper management of the LOS.

Citations

Citations to this article as recorded by  
  • Teleneurocritical Care for Patients with Large Vessel Occlusive Ischemic Stroke Treated by Thrombectomy
    Nick M. Murray, Scott Marshall, Robert Hoesch, Kyle Hobbs, Shawn Smith, Dean Roller, Katherine Thomas, Kevin Meier, Adrian Puttgen
    Neurocritical Care.2023; 38(3): 650.     CrossRef
  • Association Between Race and Length of Stay Among Stroke Patients: The National US Emergency Departments Data Set
    Karan Patel, Kamil Taneja, Jared Wolfe, Joseph V. Campellone, Mudassir Farooqui, Santiago Ortega‐Gutierrez, James E. Siegler
    Stroke: Vascular and Interventional Neurology.2023;[Epub]     CrossRef
  • Can HRV Predict Prolonged Hospitalization and Favorable or Unfavorable Short-Term Outcome in Patients with Acute Ischemic Stroke?
    Joanna Aftyka, Jacek Staszewski, Aleksander Dębiec, Aleksandra Pogoda-Wesołowska, Jan Żebrowski
    Life.2023; 13(4): 856.     CrossRef
  • Does the Implementation of a National Health Insurance Program Result in Rationing Care for Ischemic Stroke Management? Analysis of the Indonesian National Health Insurance Program
    Lisda Amalia
    Risk Management and Healthcare Policy.2023; Volume 16: 455.     CrossRef
  • Teleneurocritical care is associated with equivalent billable charges to in-person neurocritical care for patients with acute stroke
    Nick M. Murray, Katherine Thomas, Dean Roller, Scott Marshall, Julie Martinez, Robert Hoesch, Kyle Hobbs, Shawn Smith, Kevin Meier, Adrian Puttgen
    Journal of Telemedicine and Telecare.2023; : 1357633X2311661.     CrossRef
  • Systematic Review of Resource Use and Costs in the Hospital Management of Intracerebral Hemorrhage
    Steven Mulackal Thomas, Yarin Reindorp, Brandon R. Christophe, Edward Sander Connolly
    World Neurosurgery.2022; 164: 41.     CrossRef
  • Relationship between time of referral for physiotherapy and length of stay after stroke in a Nigerian tertiary hospital: a retrospective study
    A. Aderonmu Joseph, O. Obembe Adebimpe
    Bulletin of Faculty of Physical Therapy.2022;[Epub]     CrossRef
  • Predicting length of stay in patients admitted to stroke rehabilitation with severe and moderate levels of functional impairments
    Alejandro García-Rudolph, Blanca Cegarra, Eloy Opisso, Josep María Tormos, Montserrat Bernabeu, Joan Saurí
    Medicine.2020; 99(43): e22423.     CrossRef
  • Propensity score matching analysis on inpatient period differences of hemorrhagic stroke survivors depending on medical insurance coverage
    Sang-Mi Kim, Young Kim, Seong-A Lee
    Physical Therapy Rehabilitation Science.2019; 8(2): 67.     CrossRef
  • Does service heterogeneity have an impact on acute hospital length of stay in stroke? A UK-based multicentre prospective cohort study
    Michelle Tørnes, David McLernon, Max Bachmann, Stanley Musgrave, Elizabeth A Warburton, John F Potter, Phyo Kyaw Myint
    BMJ Open.2019; 9(4): e024506.     CrossRef
  • Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
    Janine Ghielen, Sezgin Cihangir, Karin Hekkert, Ine Borghans, Rudolf Bertijn Kool
    BMJ Open.2019; 9(2): e021851.     CrossRef
  • The Factors Associated with the Fatal Outcome of Stroke
    Andjela Milojevic Samanovic, Dragan Milovanovic, Vladimir Gajic, Aleksandar Raskovic, Dragan Milojevic
    Serbian Journal of Experimental and Clinical Resea.2019;[Epub]     CrossRef
  • Evaluating the Duration of Hospitalization and Its Related Factors Among Stroke Patients
    Maedeh Majidi Shad, Alia Saberi, Maryam Shakiba, Shademan Rezamasouleh
    Caspian Journal of Neurological Sciences.2018; 4(15): 169.     CrossRef
  • Racial differences in recurrent ischemic stroke risk and recurrent stroke case fatality
    Karen C. Albright, Lei Huang, Justin Blackburn, George Howard, Michael Mullen, Vera Bittner, Paul Muntner, Virginia Howard
    Neurology.2018;[Epub]     CrossRef
  • Clinical Characteristics of Sleep-Disordered Breathing in Subacute Phase of Stroke
    Hyunkyu Jeon, Min Kyun Sohn, Minsoo Jeon, Sungju Jee
    Annals of Rehabilitation Medicine.2017; 41(4): 556.     CrossRef
  • Subarachnoid Hemorrhage Patients Admitted to Intensive Care in Australia and New Zealand: A Multicenter Cohort Analysis of In-Hospital Mortality Over 15 Years
    Andrew A. Udy, Chelsey Vladic, Edward Robert Saxby, Jeremy Cohen, Anthony Delaney, Oliver Flower, Matthew Anstey, Rinaldo Bellomo, David James Cooper, David V. Pilcher
    Critical Care Medicine.2017; 45(2): e138.     CrossRef

PHRP : Osong Public Health and Research Perspectives