Retrospective Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jul 16, 2024; 12(20): 4174-4179
Published online Jul 16, 2024. doi: 10.12998/wjcc.v12.i20.4174
Cost analysis of radical resection of malignant breast tumors under the China Healthcare Security Diagnosis Related Groups payment system
Yun-He Hu, Ai-Dong Li, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
ORCID number: Ai-Dong Li (0009-0007-0083-6755).
Author contributions: Hu YH and Li AD contributed equally to this work; Hu Y and Li AD were the guarantors of the integrity of the entire study; Hu YH worked on the study concept and design; Hu YH prepared the manuscript and wrote the manuscript; all authors have access to the data and played a role in writing this manuscript.
Supported by Research Center for Capital Health Management and Policy, No. 2024JD09.
Institutional review board statement: This study does not involve medical ethics.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous data that were obtained from Beijing Area Impatient Medical Service Performance platform.
Conflict-of-interest statement: The authors report that they have no relevant conflicts of interest to disclose.
Data sharing statement: The dataset is available from the corresponding author upon request at aidong_li1208@sina.com.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ai-Dong Li, Associate Research Scientist, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan South Lane, Chaoyang District, Beijing 100021, China. aidong_li1208@sina.com
Received: March 24, 2024
Revised: May 21, 2024
Accepted: May 23, 2024
Published online: July 16, 2024
Processing time: 97 Days and 16.6 Hours

Abstract
BACKGROUND

Breast cancer is one of the most common malignant tumors in women worldwide and poses a severe threat to their health. Therefore, this study examined patients who underwent breast cancer surgery, analyzed hospitalization costs and structure, and explored the impact of China Healthcare Security Diagnosis Related Groups (CHS-DRG) management on patient costs. It aimed to provide medical institutions with ways to reduce costs, optimize cost structures, reduce patient burden, and improve service efficiency.

AIM

To study the CHS-DRG payment system’s impact on breast cancer surgery costs.

METHODS

Using the CHS-DRG (version 1.1) grouping criteria, 4073 patients, who underwent the radical resection of breast malignant tumors from January to December 2023, were included in the JA29 group; 1028 patients were part of the CHS-DRG payment system, unlike the rest. Through an independent sample t-test, the length of hospital stay as well as total hospitalization, medicine and consumables, medical, nursing, medical technology, and management expenses were compared. Pearson’s correlation coefficient was used to test the cost correlation.

RESULTS

In terms of hospitalization expenses, patients in the CHS-DRG payment group had lower medical, nursing, and management expenses than those in the diagnosis-related group (DRG) non-payment group. For patients in the DRG payment group, the factors affecting the total hospitalization cost, in descending order of relevance, were medicine and consumable costs, consumable costs, medicine costs, medical costs, medical technology costs, management costs, nursing costs, and length of hospital stay. For patients in the DRG non-payment group, the factors affecting the total hospitalization expenses in descending order of relevance were medicines and consumable expenses, consumable expenses, medical technology expenses, the cost of medicines, medical expenses, nursing expenses, length of hospital stay, and management expenses.

CONCLUSION

The CHS-DRG system can help control and reduce unnecessary medical expenses by controlling medicine costs, medical consumable costs, and the length of hospital stay while ensuring medical safety.

Key Words: China Healthcare Security Diagnosis Related Groups, Real-world study, Radical resection of malignant breast tumors, Hospitalization costs, Cost structure, Average length of stay

Core Tip: Patients undergoing the radical resection of breast malignant tumors and included under the China Healthcare Security Diagnosis Related Groups payment system have to bear lower medical, nursing, and management costs after hospitalization than those who are not managed by the system. Medicine and consumables, consumables, medicines, medical, medical technology, administrative, and nursing expenses and length of stay have a significant impact on hospitalization expenses.



INTRODUCTION

Diagnosis-related groups (DRGs) are used as a strategy for effectively controlling the rise in medical costs, with the aim of balancing medical quality and costs[1]. The National Medical Insurance Administration’s “Notice on Issuing the Three-Year Action Plan for the Reform of DRG/DIP Payment Methods”[2,3] aims to improve the efficiency of medical insurance fund utilization and standardize medical services. Hence, some designated medical institutions in Beijing have begun to implement the China Healthcare Security Diagnosis Related Groups (CHS-DRG) payment system[4]. Real-world studies systematically collect and analyze real-world data generated by clinical care using evidence-based medicine methods[5]. Breast cancer is one of the most common malignant tumors in women worldwide and poses a severe threat to their health. Therefore, this study examined patients who underwent breast cancer surgery, analyzed hospitalization costs and structure, and explored the impact of CHS-DRG management on patient costs. It aimed to provide medical institutions with ways to reduce costs, optimize cost structures, reduce patient burden, and improve service efficiency.

MATERIALS AND METHODS
Research materials

This study used data from the Beijing Area Impatient Medical Service Performance platform and examined patients discharged from a hospital between January and December 2023. According to the CHS-DRG grouping criteria, 4073 patients who underwent radical resection of malignant breast tumors were categorized under JA29, representing this procedure. Among them, 1028 cases were in the CHS-DRG payment patient group, and the remaining 3045 cases were in the control group and not included in the CHS-DRG payment group. This study compared patient costs for radical resection of malignant breast tumors with the city’s average cost to obtain the relative number of various cost ratios, including hospitalization, medical, nursing, medical technology, and management cost ratios. Medicine and consumable cost ratios were used for data correction. Further, the impact of the CHS-DRG system on hospitalization costs and cost structures was studied through real-world research to provide a basis for cost control and process optimization for patients undergoing radical resection of malignant breast tumors.

Statistical analysis

In this study, continuous variables were presented in the form of mean ± standard deviation. Differences between the DRG payment and non-payment groups were related to age, length of hospital stay, total hospitalization expenses, medicines and consumable expenses, medical expenses, nursing expenses, medical technology expenses, and management expenses. Differences in medicine and consumable costs were analyzed using independent sample t-tests. The Pearson correlation coefficient was used to test the correlation between the total hospitalization expenses of the DRG payment group and the non-payment group and age, length of hospital stay, medicines and consumable expenses, medical expenses, nursing expenses, medical technology expenses, management expenses, cost of medicines, and consumable expenses. JMP Pro 17.0 was used for all statistical calculations, and α was set to 0.05.

RESULTS
Overall situation

In this study, the average age of the patients was 52.85 ± 11.60 years, and the average length of hospital stay was 4.86 ± 2.10 days. The hospitalization cost ratio for all patients was 0.97 ± 0.18, of which the medical, nursing, medical technology, management and medicine cost ratios were 0.73 ± 0.14, 0.64 ± 0.22, 0.59 ± 0.22, 0.74 ± 0.55, and 1.57 ± 0.47, respectively. The medical consumables cost ratio was 1.28 ± 0.36.

Comparison between DRG payment and non-payment groups

As shown in Table 1, patients in the DRG payment group were older than those in the DRG non-payment group (53.50 ± 12.54 vs 52.63 ± 11.26, P < 0.05). There was no statistical difference in the length of hospital stay between the patients in the DRG payment and non-payment groups (4.77 ± 2.05 vs 4.89 ± 2.12, P > 0.05).

Table 1 Comparison between the diagnosis-related group payment and non-payment groups.
Variable
Overall
DRG payment group
DRG non-payment group
P value
Age (year)52.85 ± 11.6053.50 ± 12.5452.63 ± 11.260.0484
Length of hospital stay4.86 ± 2.104.77 ± 2.054.89 ± 2.120.1032
Hospitalization expense ratio0.97 ± 0.180.97 ± 0.190.98 ± 0.180.1574
Medical expense ratio0.73 ± 0.140.72 ± 0.120.73 ± 0.140.0044
Nursing expense ratio0.64 ± 0.220.63 ± 0.200.65 ± 0.230.0419
Medical technology expense ratio0.59 ± 0.220.60 ± 0.220.59 ± 0.220.2879
Management expense ratio0.74 ± 0.550.70 ± 0.240.75 ± 0.620.0001
Medicine expense ratio1.57 ± 0.471.56 ± 0.521.57 ± 0.450.8147
Medical consumables expense ratio1.28 ± 0.361.27 ± 0.361.29 ± 0.350.137

In terms of hospitalization expenses, the medical expenses (0.72 ± 0.12 vs 0.73 ± 0.14, P < 0.05), nursing expenses (0.63 ± 0.20 vs 0.65 ± 0.23, P < 0.05) and administrative expenses (0.70 ± 0.24 vs 0.75 ± 0.62, P < 0.05) were lower for patients in the DRG payment group compared with those in the non-payment group. There was no statistical difference in the total hospitalization expenses (0.97 ± 0.19 vs 0.98 ± 0.18, P > 0.05), medical technology expenses (0.60 ± 0.22 vs 0.59 ± 0.22, P > 0.05), cost of medicines (1.56 ± 0.51 vs 1.57 ± 0.45, P > 0.05) and consumable costs (1.27 ± 0.36 vs 1.29 ± 0.35, P > 0.05) between the DRG payment and non-payment groups, respectively.

Correlation matrix analysis of patients in the DRG payment and non-payment groups

As shown in Figure 1A, for patients in the DRG payment group, the following factors affected the total hospitalization expenses in descending order of correlation: cost of medicines and medical consumables (r = 0.93, P < 0.05), cost of medical consumables (r = 0.82, P < 0.05), cost of medicines (r = 0.69, P < 0.05), medical expenses (r = 0.55, P < 0.05), medical technology expenses (r = 0.53, P < 0.05), management expenses (r = 0.44, P < 0.05), nursing costs (r = 0.41, P < 0.05), and length of hospital stay (r = 0.32, P < 0.05). There was no correlation between patient age and total hospitalization expenses. (r = 0.05, P < 0.05).

Figure 1
Figure 1 Correlation matrix diagram of patients. A: Diagnosis-related group (DRG) payment group; B: DRG non-payment group.

As shown in Figure 1B, for patients in the DRG non-payment group, the following factors affected the total hospitalization expenses in descending order of correlation: cost of medicines and medical consumables (r = 0.87, P < 0.05), cost of medical consumables (r = 0.79, P < 0.05), medical technology expenses (r = 0.55, P < 0.05), cost of medicines (r = 0.53, P < 0.05), medical expenses (r = 0.51, P < 0.05), nursing expenses (r = 0.39, P < 0.05), length of hospital stay (r = 0.36, P < 0.05), and administrative expenses (r = 0.31, P < 0.05). No correlation was observed for patient age (r = 0.02, P < 0.05).

DISCUSSION

In China, medical insurance payment reforms have been advancing steadily With the promotion of policies established by policy-making departments. For example, the purchase price of medicines is the same as the sales price; when implementing national centralized medicine procurement, the purchase price of medical consumables is the same as the sales price[6]. Simultaneously, the implementation of CHS-DRG requires medical institutions to enhance patient service quality, improve medical standards, optimize the internal resource allocation of medical institutions, promote medical resources to focus on key disciplines, and improve the operating efficiency of medical institutions. By analyzing the hospitalization costs of the patients undergoing radical resection for malignant breast tumors, we could explore the effects and influencing factors of the implementation of the CHS-DRG system. Identifying the focal points of management efforts is anticipated to enhance the hospitals’ internal management quality and operational efficiency. In general, reform policies have achieved positive results, thereby changing the profit model of medicines and medical consumables and promoting the enhancement of hospitals’ internal management. Implementation of the CHS-DRG system imposes greater demands on medical institutions; therefore, strengthening the internal management and optimizing the operational efficiency of hospitals is necessary.

Impact of the CHS-DRG management on fee structure

The results indicate that including patients in the CHS-DRG payment system led significant advantages in terms of medical, nursing, and administrative expenses. The system has certain advantages in terms of controlling costs and reducing waste. Studies have shown that a DRG payment system can help promote standardized diagnosis and treatment, shorten hospitalization time, and effectively control medical expenses[7]. To ensure medical quality, medical institutions can reasonably control costs by optimizing diagnosis and treatment processes and performing day surgeries. The implementation of the CHS-DRG system can stimulate the internal motivation of medical institutions, promote the transformation of hospitals from revenue-driven models to cost-reduction management approaches, and improve medical quality and efficiency.

Reducing the cost of medicines and medical consumables: The key to controlling costs

Analysis of the composition of hospitalization costs for patients undergoing radical resection of malignant breast tumors showed that medicine and consumable costs were the main components, accounting for 21.58% and 40.78% of the total cost, respectively. Regardless of whether they were included in the CHS-DRG settlement, the total cost of hospitalization was closely related to the costs of medicines and medical consumables. Therefore, in cost management, reasonable control of medicine and consumable costs is crucial for reducing hospitalization costs of breast cancer surgery patients[8]. Medical institutions can establish a medicine and consumable cost assessment system for comparison with medical institutions of the same level to identify gaps and set them within a reasonable range. Additionally, the focus should be on medicines and medical consumables used in large quantities. By cooperating with peer institutions, they can jointly request the medical insurance management department to include these medicines and medical consumables in national or local centralized procurement to reduce unit prices, costs for medical institutions, and the cost consumption index, thereby improving medical efficiency.

Significance of reducing the average hospitalization days

The average length of hospital stay is an essential indicator for evaluating the operational efficiency of medical institutions. Shortening the length of hospital stay can help improve bed turnover rate, increase the efficiency of medical services, and alleviate the problems of medical treatment and hospitalization to a certain extent[9,10]. However, the average length of hospital stay cannot be reduced indefinitely. When service efficiency reaches a plateau, the blind pursuit of reducing the length of hospital stay may lead to doctors mismanaging or rejecting complex cases, adversely affecting patient care, departmental discipline, and hospital public welfare[10]. This study showed that the average length of hospital stay of the CHS-DRG group was slightly lower than that of the non-CHS-DRG group; both groups had shorter stays than the city’s average of 7.22 days, indicating that the hospital is a key player in managing the length of hospital stay. Leading specialties have shown stability or even improvement in controlling the average length of hospital stay, which helps improve the quality of medical services and ensure medical safety[11]. Although the CHS-DRG system cannot continuously reduce the average length of hospital stay, the management model and methods of leading specialties can provide an effective management model for other medical institutions to reduce the average length of hospital stay.

CONCLUSION

The CHS-DRG payment system can help control and reduce unnecessary medical expenses and achieve dual control over the quality and cost of medical services. This can be achieved by guiding medical institutions to actively change their management methods, focusing on cost-effectiveness, strengthening hospital refined management, controlling the cost of drugs and medical consumables through effective management methods and evaluation systems, and reasonably controlling the length of hospital stay while ensuring medical safety.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Medicine, research and experimental

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade C

Novelty: Grade B

Creativity or Innovation: Grade B

Scientific Significance: Grade B

P-Reviewer: Rozen WM, Australia S-Editor: Lin C L-Editor: A P-Editor: Yuan YY

References
1.  Liu X, Liu F, Wang L, Wu M, Yang L, Wei L. Performance evaluation of medical service for breast cancer patients based on diagnosis related groups. BMC Health Serv Res. 2021;21:496.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 4]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
2.  National Healthcare Security Administration  Notice on issuing a list of national pilot cities for group payment based on disease diagnosis (YiBao Fa [2019] No. 34). Jun 5, 2019. [cited 24 March 2024]. Available from: http://www.nhsa.gov.cn/art/2019/6/5/art_37_1362.html.  [PubMed]  [DOI]  [Cited in This Article: ]
3.  National Healthcare Security Administration  Notice on issuing the three-year action plan for DRG/DIP payment method reform (YiBao Fa [2021] No. 48). Nov 26, 2021. [cited 24 March 2024]. Available from: http://www.nhsa.gov.cn/art/2021/11/26/art_104_7413.html.  [PubMed]  [DOI]  [Cited in This Article: ]
4.  Beijing Healthcare Security Administration  Notice on Issuing the Management Measures for Excluding Payment for CHS-DRG Paid New Drugs and Technologies (Trial Implementation) (Jing YiBao Zhongxin Fa [2022] No. 30). Jul 13, 2022. [cited 24 March 2024]. Available from: https://ybj.beijing.gov.cn/tzgg2022/202207/t20220713_2798069.html.  [PubMed]  [DOI]  [Cited in This Article: ]
5.  Makady A, de Boer A, Hillege H, Klungel O, Goettsch W; (on behalf of GetReal Work Package 1). What Is Real-World Data? A Review of Definitions Based on Literature and Stakeholder Interviews. Value Health. 2017;20:858-865.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 171]  [Cited by in F6Publishing: 179]  [Article Influence: 25.6]  [Reference Citation Analysis (0)]
6.  Hu YH, Yu F, Li AD. Influence of Comprehensive Reform of Medical Consumption Linkage on Inpatient Cost of Cancer Patients from Perspective of DRG. Jiefangjun Yiyuan Guanli Zazhi. 2020;27:555-558, 579.  [PubMed]  [DOI]  [Cited in This Article: ]
7.  Lei SY, Zheng RS, Zhang SW, Wang SM, Chen R, Sun KX, Zeng HM, Zhou JC, Wei WQ. Global patterns of breast cancer incidence and mortality: A population-based analysis of tumor registry data 2000-2020. Aizheng. 2022;41:324-335.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Li WJ, Xu XF, Tian LQ, Gao C. Analysis on Hospitalization Expenses and Its Influencing Factors of Breast Cancer Patients Based on DRG. Weisheng Jingji Yanjiu. 2021;38:76-79.  [PubMed]  [DOI]  [Cited in This Article: ]
9.  Yuan L, Li L, Qian ZX, Chen XY, Pan LL, Wang QH. Interrupted time series analysis for impacts of day surgery on average days of stay. Zhonghua Yiyuan Guanli Zazhi. 2018;34:805-809.  [PubMed]  [DOI]  [Cited in This Article: ]
10.  Yuan L, Chen ZH, Huang GW, Pan LL, Wang QH. Practice and evaluation of accurate formulation of the goal of average length of stay in clinical department based on DRG. Zhongguo Yiyuan Guanli. 2021;41:34-38.  [PubMed]  [DOI]  [Cited in This Article: ]
11.  Liu JD, Yao M, Shen Y, Yao JB, Ye ZH. Research of Setting the Standardized Average Length of Stay Objectives for Specialties Based on DRG. Zhongguo Yiyuan Guanli. 2022;42:48-50.  [PubMed]  [DOI]  [Cited in This Article: ]