Literature DB >> 20535571

Disparities in utilization of high-volume hospitals for cancer surgery: results of a Korean population-based study.

So Young Kim1, Jong Hyock Park, Sung Gyeong Kim, Hye Kyung Woo, Jae Hyun Park, Yoon Kim, Eun Cheol Park.   

Abstract

BACKGROUND: Referral to high-volume hospitals has been recommended for cancer procedures with a demonstrated volume-outcome relationship. However, little is known about the factors associated with use of high-volume hospitals for cancer procedures. The purpose of this study was to determine patient characteristics associated with receipt of oncologic surgery at high-volume hospitals.
METHODS: Data were obtained from claims submitted to the Korean National Health Insurance System. We identified patients who underwent the following procedures between 2002 and 2005: esophagectomy, pancreatectomy, gastrectomy, colectomy, lung resection, mastectomy, and cystectomy. Each hospital volume was divided into tertiles. Patient demographic, socioeconomic, and clinical variables were investigated as factors that may affect use of high- or low-volume hospitals.
RESULTS: A total of 49,897 patients received one of the seven procedures. Trends toward lower operative risks at high-volume hospitals were observed for all procedures. Patients who were older [odds ratio (OR), 0.60-0.69], lived in a rural area (OR, 0.79), had emergent surgeries (OR, 0.39-0.85), and had lower Charlson score were less likely to go to high-volume hospitals. For all procedures, patients having the lowest income level were significantly less likely to be treated at high-volume hospitals, compared with patients having the highest income level (OR, 0.45-0.58).
CONCLUSIONS: We identified substantial demographic and socioeconomic disparities in use of high-volume hospitals for the seven procedures examined. The policy for selective referral to high-volume hospitals should include explicit efforts to identify patient and system factors required to reduce current inequities.

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Year:  2010        PMID: 20535571     DOI: 10.1245/s10434-010-1133-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  8 in total

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Journal:  J Thorac Dis       Date:  2013-12       Impact factor: 2.895

Review 2.  Esophageal surgery in Italy. Criteria to identify the hospital units and the tertiary referral centers entitled to perform it.

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Journal:  Updates Surg       Date:  2016-05-30

3.  Trends in use of upper abdominal procedures in Sweden 1998-2011: a population-based study.

Authors:  Magnus Sundbom; Jakob Hedberg
Journal:  World J Surg       Date:  2014-01       Impact factor: 3.352

4.  Mortality after esophageal and gastric cancer resection.

Authors:  Ugo Fedeli; Elena Schievano; Manola Lisiero
Journal:  World J Surg       Date:  2012-11       Impact factor: 3.352

5.  Gender-specific interactions between education and income in relation to obesity: a cross-sectional analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V).

Authors:  Woojin Chung; Seung-Ji Lim; Sunmi Lee; Roeul Kim; Jaeyeun Kim
Journal:  BMJ Open       Date:  2017-12-28       Impact factor: 2.692

6.  Analysis of Hospital Volume and Factors Influencing Economic Outcomes in Cancer Surgery: Results from a Population-based Study in Korea.

Authors:  Jung-A Lee; So-Young Kim; Keeho Park; Eun-Cheol Park; Jong-Hyock Park
Journal:  Osong Public Health Res Perspect       Date:  2017-02-28

Review 7.  Towards Actualizing the Value Potential of Korea Health Insurance Review and Assessment (HIRA) Data as a Resource for Health Research: Strengths, Limitations, Applications, and Strategies for Optimal Use of HIRA Data.

Authors:  Jee Ae Kim; Seokjun Yoon; Log Young Kim; Dong Sook Kim
Journal:  J Korean Med Sci       Date:  2017-05       Impact factor: 2.153

8.  Medical Costs and Healthcare Utilization among Cancer Decedents in the Last Year of Life in 2009.

Authors:  Inuk Hwang; Dong Wook Shin; Kyoung Hee Kang; Hyung Kook Yang; So Young Kim; Jong-Hyock Park
Journal:  Cancer Res Treat       Date:  2015-03-02       Impact factor: 4.679

  8 in total

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