Literature DB >> 23796402

Breast cancer surgery volume-cost associations: hierarchical linear regression and propensity score matching analysis in a nationwide Taiwan population.

Hon-Yi Shi1, Hong-Tai Chang, Richard Culbertson, Yi-Jheng Chen, Yu-Chun Liao, Ming-Feng Hou.   

Abstract

BACKGROUND: No outcome studies have longitudinally and systematically compared the effects of hospital and surgeon volume on breast cancer surgery costs in an Asian population. This study purposed to evaluate the use of hospital and surgeon volume for predicting breast cancer surgery costs.
METHODS: This cohort study retrospectively analyzed 97,215 breast cancer surgeries performed from 1996 to 2010. Relationships between volumes and costs were analyzed by propensity score matching and by hierarchical linear regression.
RESULTS: The mean breast cancer surgery costs for all breast cancer surgeries performed during the study period was $1485.3 dollars. The average breast cancer surgery costs for high-volume hospitals and surgeons were 12% and 26% lower, respectively, than those for low-volume hospitals and surgeons. Propensity score matching analysis showed that the average breast cancer surgery costs for breast cancer surgery procedures performed by high-volume hospitals ($1428.6 dollars) significantly differed from the average breast cancer surgery costs of those performed by low-/medium-volume hospitals ($1514.0 dollars) and that the average breast cancer surgery costs of procedures performed by high-volume surgeons ($1359.0 dollars) significantly differed from the average breast cancer surgery costs of those performed by low-/medium-volume surgeons ($1550.3 dollars) (P < 0.001).
CONCLUSIONS: The factors significantly associated with hospital resource utilization for this procedure included age, surgical type, Charlson co-morbidity index score, hospital type, hospital volume, and surgeon volume. The data indicate that analyzing and emulating the treatment strategies used by high-volume hospitals and by high-volume surgeons may reduce overall breast cancer surgery costs.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer surgery; Cost; Taiwan; Volume

Mesh:

Year:  2013        PMID: 23796402     DOI: 10.1016/j.suronc.2013.05.004

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  4 in total

1.  Cloud-Based Service Information System for Evaluating Quality of Life after Breast Cancer Surgery.

Authors:  Hao-Yun Kao; Wen-Hsiung Wu; Tyng-Yeu Liang; King-The Lee; Ming-Feng Hou; Hon-Yi Shi
Journal:  PLoS One       Date:  2015-09-30       Impact factor: 3.240

2.  Outcome disparities between medical personnel and nonmedical personnel patients receiving definitive surgery for colorectal cancer: a nationwide population-based study.

Authors:  Chia-Jen Liu; Nicole Huang; Chun-Chi Lin; Yu-Ting Lee; Yu-Wen Hu; Chiu-Mei Yeh; Tzeng-Ji Chen; Yiing-Jenq Chou
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

3.  A comparison of Knowledge, attitude and practice (KAP) of nurses on nursing Post-stroke dysphagia patients between iii-A and ii-A hospitals in China: a propensity score-matched analysis.

Authors:  Shumin Deng; Xiaolan Mao; Xianmei Meng; Liping Yu; Fei Xie; Guiling Huang; Zhizhou Duan
Journal:  BMC Nurs       Date:  2022-06-29

Review 4.  Quality indicators for the diagnosis and surgical management of breast cancer in South Africa.

Authors:  Sarah Nietz; Paul Ruff; Wenlong Carl Chen; Daniel S O'Neil; Shane A Norris
Journal:  Breast       Date:  2020-10-05       Impact factor: 4.380

  4 in total

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