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ORIGINAL RESEARCH article

Front. Public Health, 08 July 2024
Sec. Health Economics

The cost of total hip arthroplasty: compare the hospitalization costs of national centralized procurement and national volume-based procurement

Yongyong Fan&#x;Yongyong FanQiang XuQiang XuGang JinGang JinLingjun Jiang
&#x;Lingjun Jiang*Chenglong Wang
&#x;Chenglong Wang*
  • Department of Orthopaedics, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Zhejiang, China

Background: With the increasing demand for joint replacement surgery in China, the government has successively issued the policies of national centralized procurement (NCP) and national volume-based procurement (NVBP) of artificial joints. The purpose of this study is to evaluate the impact of NCP and NVBP policies on hospitalization cost, rehospitalization and reoperation rate of total hip arthroplasty (THA).

Methods: In total, 347 patients who underwent THA from January 2019 to September 2022 were retrospectively analyzed. According to the implementation of NCP and NVBP, patients were divided into three groups: control group (n = 147), NCP group (n = 130), and NVBP group (n = 70). Patient-level data on the total hospitalization costs, rehospitalization rate, THA reoperation rate and inpatient component costs were collected before and after the implementation of the policies and Consumer Price Index was used to standardize the cost.

Results: After the implementation of NCP and NVBP, the total cost of hospitalization decreased by $817.41 and $3950.60 (p < 0.01), respectively. The implantation costs decreased from $5264.29 to $4185.53 and then rapidly to $1143.49 (p < 0.01), contributing to increased total cost savings. However, the cost of surgery and rehabilitation increased after NCP and NVBP implementation (p < 0.01). The proportion of implants decreased from 66.76 to 59.22% and then to 29.07%, whereas that of drugs increased from 7.98 to 10.11% and then to 12.06%. The proportion of operating expenses rose from 4.86 to 8.01% and then to 18.47%. Univariate linear regression analysis showed that hospital stay, NCP and NVBP were correlated with total hospitalization cost (p < 0.01). Multivariate analysis showed that hospital stay, NCP and NVBP were independent predictors of total hospitalization cost (p < 0.01).

Conclusion: In this study, hospital stay, NCP, and NVBP were independent predictors of total inpatient costs. After the implementation of NVBP policy, the cost of implants and hospitalization has decreased significantly, and the technical labor value of medical staff has increased, but a multifaceted method is still needed to solve the problem of increasing costs of other consumables. Limitations of the study suggest the need for further and more comprehensive evaluation in the future.

1 Introduction

More than one million hip arthroplasty operations are performed each year worldwide (1). The number of initial and revision surgeries has increased year by year throughout history. For example, the total number of hip replacements in the UK grew by 37% between 2008 and 2017 (2), with similar increases reported in Sweden, New Zealand and South Korea (35).

At present, many countries around the world are faced with the challenge of increasing medical expenditure (6, 7), with the global pharmaceutical market, which was valued at 955 billion dollars in 2019, being the major contributor (8). In China, total health expenditure increased from 145.4 billion yuan in 2008 to 5.7998 trillion yuan in 2018, with an average annual compound growth rate of 13.4% (9). In 2018, the total pharmaceutical expenditure in China was 1914.89 billion yuan, accounting for 32.39% of the total health expenditure (10), much higher than an average of 17% for the countries of the Organization for Economic Cooperation and Development (11). To curb the growth of medical expenditure and reduce drug costs, several countries have successfully implemented the national centralized drug procurement (NCDP) (1214). In January 2019, the Chinese government launched a national volume-based procurement (NVBP) policy aimed at reducing drug costs and improving the drug procurement mechanism (15). A key feature of the first round of this policy, also known as “4 + 7” policy, is “price for price” (16). The policy has been successful in reducing price by an average of 52% for 25 winning products, with a price reduction of as high as 96% in some products (17).

Various factors can affect the cost of hospitalization for TJA. Studies have shown that age, hospital stay, and postoperative ICU stay are factors that influence the cost of TKA (18). In addition, patient and hospital characteristics also have an impact on hospitalization costs (19). The growth of China’s economy has been accompanied by a significant increase in regional inequality, including health care disparities. Hospitalization costs are likely to be affected by this disparity in supply-side inputs into the health care system and access to health care for residents (20).

Research has shown that from July 2008 to June 2015, the implant cost of joint replacement in the United States accounted for 46.3% of the internal hospital costs (21). An analysis of TKA hospitalization costs in China’s national database from 2013 to 2019 shows that implants and materials account for about 60–70 percent of total hospitalization costs (19). With the rising demand for joint replacement surgery in China, on November 20, 2020, the Medical Price and Bidding Procurement Guidance Center of the National Medical Security Bureau issued a notice on the rapid collection and price monitoring of the second batch of NCP data of high-value medical consumables, including artificial hip and knee joint prostheses (22). On June 4, 2021, the National Health Insurance Bureau and eight other departments issued guidance on the NVBP and use of high-value medical consumables (23). Its aim was to further reduce the cost of high-value medical consumables. On June 21, 2021, the National Organization Joint Procurement Office of High-value Medical Consumables issued the national organization for the NVBP of artificial joints (No. 1) and launched the National Organization for the NVBP of artificial joints (24). To the best of our knowledge, the impact of NCP and NVBP on various components of inpatient expenditure is unknown, and there is no report on reoperation and rehospitalization rate after implementation of these policies. Therefore, this study evaluated the impact of NCP and NVBP on hospitalization cost, rehospitalization rate and reoperation rate of total hip arthroplasty (THA).

2 Materials and methods

This study selected THA patients admitted to our hospital from January 2019 to September 2022. The following inclusion criteria were used: (1) patients who underwent surgery due to osteoarthritis, femoral neck fracture, ischemic necrosis, and dysplasia, (2) all patients who underwent primary unilateral THA, and (3) the joint prostheses used were winning products of NCP or NVBP from the same company. The following exclusion criteria were used: (1) patients diagnosed with infectious arthritis, rheumatoid arthritis or other autoimmune diseases, (2) patients undergoing femoral head replacement or revision surgery, (3) patients using joint prostheses or non-winning products from other companies, (4) patients undergoing additional surgery during hospitalization for other diseases, (5) patients who cannot tolerate surgery due to severe internal and external diseases, and (6) patients with incomplete data. According to the inclusion and exclusion criteria, a total of 347 patients were included in this study and divided into three groups: control group (n = 147), NCP group (n = 130), and NVBP group (n = 70).

2.1 Patient and public involvement

Patients or the public were not involved in the design, or conduct, or reporting, or dissemination plans of our research.

2.2 Data

After approval by the institutional review committee, all clinical data for the 347 THA patients admitted between January 2019 and September 2022were obtained from the hospital’s inpatient electronic medical record system V6.0 (GOODWILL, Beijing, China). Demographic data such as age, sex, BMI, operation side, and ASA score of all patients, as well as hospitalization expenses, internal component costs, and the rate of rehospitalization and reoperation within 3 months after discharge were collected.

2.3 Three research stages

According to the introduction of national policies and the implementation of policies in Zhejiang Province, we divided patients into three groups: (1) control group (from January 2019 to November 19, 2020), (2) NCP group (from November 20, 2020 to May 5, 2022 during the implementation of the second batch of NCP policy of national high-value medical consumables) (22), and (3) NVBP group (from May 05 to September 2022). The implementation of NVBP policy of artificial joint prosthesis was in Zhejiang Province on May 5, 2022 (25).

2.4 Hospitalization expenses and categories

We classified the expenses during hospitalization into 10 categories: (1) implant; (2) other consumables; (3) operation; (4) anesthesia; (5) hospital treatment; (6) drugs; (7) blood products; (8) diagnosis; (9) room and board; and (10) other expenses (Figure 1). Among them, the hospitalization expenses included comprehensive treatment, traditional Chinese medicine treatment, rehabilitation and nursing. The cost of diagnosis included laboratory, imaging, clinical and pathology. The overall and partial savings were calculated according to the internal costs of the hospital.

Figure 1
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Figure 1. A bar chart showing the total hospitalization costs for three groups of THA patients and costs for all major categories. NCP, national centralized procurement; NVBP, national volume-based procurement.

By using the Consumer Price Index (26), all expenditure variables were adjusted for inflation and economic growth to reflect the real dollar value (2022). After that, all values were converted into US dollars (US$) using the average exchange rate (26) of US$1 = 6.7434 (from 2019 to 2022).

2.5 Statistical analysis

All data were analyzed using SPSS26.0 (IBM, Armonk, New York, USA). The measurement data and count data are statistically described using the mean plus or minus standard deviation (X ± SD), and frequency and percentage, respectively. Kruskal-Wallis one-way analysis of variance by ranks was used to compare the differences among three independent samples and between the two groups. Chi-square test was used to compare categorical variables. Univariate linear regression analysis was used to evaluate the relationship between each factor and the total hospitalization cost. Then, the factors with significant differences in univariate analysis and other possible factors were analyzed by multiple linear regression analysis to determine the independent predictors of total hospitalization cost. p < 0.05 indicates statistical significance.

3 Results

3.1 General information

A total of 347 patients were included in this study, including 147 in the control group. They had an average age and BMI of 61.58 years (SD ± 10.05, range 29–80 years) and 23.49 kg/m2 (SD ± 3.22), respectively, and included 74 males (50.3%), 73 females (49.7%), with 86 right hips (58.5%) and 61 left hips (41.5%). The NCP group included 130 patients comprising 70 males (53.8%) and 60 females (46.2%), with an average age and BMI of 63.09 years (SD ± 10.98, range 30–82 years) and 23.89 (SD ± 3.42), respectively, and 71 right hips (54.6%) and 59 left hips (45.4%). The NVBP group had 70 cases comprising 31 males (44.3%) and 39 females (55.7%), with an average age and BMI of 64.16 years (SD ± 10.69, range 31–88 years) and 23.52 (SD ± 3.22), respectively, and 34 right hips (48.6%) and 36 left hips (51.4%). There was no difference in the demographic variables among the three groups (Table 1).

Table 1
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Table 1. Demographic data.

3.2 Quality of care

There were no statistically significant changes in readmission or reoperation in each of the three groups. From January 2019 to September 2022, the control group, NCP group and NVBP group had an average readmission rate of 3.40, 3.85 and 2.86% and reoperation rates of 2.72, 2.31 and 1.43%, respectively (Table 2).

Table 2
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Table 2. Comparison of reoperation and readmission among the three groups.

3.3 Total hospitalization costs and internal component costs

The total cost of hospitalization for THA patients decreased by $817.41 (from $7884.82 to $7067.41) after the implementation of NCP policy compared with $3950.60 (from $7884.82 to $3934.22) after the implementation of NVBP policy, the total cost of hospitalization decreased, with a statistically significant difference between the groups (p < 0.01). During the hospitalization period, the total cost savings were mainly contributed by lower implantation costs. These costs decreased from $5264.29 to $4185.53, and then rapidly to $1143.49, with a statistically significant difference between the groups (p < 0.01). The cost of surgery and rehabilitation significantly increased after the implementation of the policies (p < 0.01). Other consumables also increased after the implementation of NCP policy (p < 0.01), but there was no significant difference between the NCP and NVBP groups (p = 0.835). The cost of drugs increased after the implementation of the NCP policy, but decreased significantly after the implementation of the NVBP policy (p < 0.01) (Figure 2; Tables 3, 4).

Figure 2
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Figure 2. A line chart showing the total costs of hospitalization for three groups of THA patients and the cost trend for all major categories. NCP, national centralized procurement; NVBP, national volume-based procurement.

Table 3
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Table 3. Comparison of total hospitalization cost and internal component cost among three groups.

Table 4
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Table 4. Pairwise comparison results among the three groups.

3.4 Change of internal composition ratio of hospitalization expenses

Before the implementation of the policy, implants and drugs accounted for 66.76 and 7.98% of the total hospitalization expenses of patients, respectively. The other items accounted for less than 6%. After the implementation of NCP policy, the proportion of implants decreased to 59.22%, whereas the proportion of drugs and operating expenses increased to 10.11% and from 4.86 to 8.01%, respectively. After the implementation of the NVBP policy, the change of internal composition ratio was significant. The proportion of implants decreased to 29.07%, whereas the proportion of drugs and surgical expenses increased to 12.06 and 18.47%, respectively (Figure 3; Supplementary Table 1).

Figure 3
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Figure 3. A pie chart showing the percentage of each component of the total hospital cost for three groups of THA patients. NCP, national centralized procurement; NVBP, national volume-based procurement.

3.5 Hospital savings by changes in internal cost

During the NCP period, the reduction in implantation costs accounted for most of the hospital’s total savings. Cost savings from implants were $1078.76, accounting for 91.73% of the total savings, with a saving rate of 20.49%. The total cost of hospitalization decreased by $817.41 or 10.37% but the cost of other consumables and operation increased by $54.12 or 24.32% and $182.46 or 47.58%, respectively. After the implementation of the NVBP policy, cost savings from the implants were $4120.80, accounting for 93.21% of the total savings, with a saving rate of 78.28%. The total cost of hospitalization decreased by $3950.60 or 50.10% but the cost of other consumables and operation increased by $83.34 or 37.44% and $343.13 or 89.47%, respectively (Table 5).

Table 5
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Table 5. Total and within component savings by internal hospital cost.

3.6 Analysis of influencing factors of total hospitalization cost in THA patients

Univariate linear regression analysis showed that hospital stay, NCP and NVBP were the main influencing factors of total hospitalization cost (p < 0.01). And there were no significant differences in Age, Gender, Operation side, BMI and ASA (p > 0.05) (Table 6).

Table 6
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Table 6. Univariate linear regression with total hospitalization cost as dependent variable.

The results of multiple linear regression analysis showed that the regression equation was significant (F = 1790.087, p < 0.001). Among them, age (β = 0.049, p < 0.001) and hospital stay (β = 0.296, p < 0.001) significantly positively predicted total hospitalization cost, NCP (β = −0.164, p < 0.001) and NVBP (β = −0.895, p < 0.001) significantly negatively predicted total hospitalization cost. Together, these variables explained 95.4% of the variation in total hospitalization cost (Table 7).

Table 7
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Table 7. Multiple linear regression with total hospitalization cost as dependent variable.

4 Discussion

As part of the medical reforms implemented in China in recent years, NCP and NVBP have played an important role in reducing drug prices and promoting rational use of drugs (2730). Wang et al. (31) showed that the implementation of the “4 + 7” policy increased the use of cardiovascular generic drugs and significantly improved access to affordable drug costs for patients. Wen et al. (32) showed that batch procurement successfully reduced the price of selective serotonin reuptake inhibitors and improved access to affordable drugs, especially for patients with chronic diseases. Since its implementation, NVBP has successfully reshaped the Chinese drug market structure, making it more conducive to high-quality and low-cost generic drugs. With its success in reducing drug prices, the next focus of the NVBP policy is to decrease the high cost of medical consumables. On July 3, 2020, the Medical Price and Bidding Guidance Center of the National Medical Security Bureau issued the national organization coronary stent NVBP Scheme (Draft for Comments) (33). This marked the beginning of NVBP of high-value medical consumables in the country. On November 5, 2020, the NVBP of high-value medical consumables was held in Tianjin, which lead to a price reduction from about 13,000 yuan to about 700 yuan for coronary stents. With the successful lowering of the price of coronary stents, similar NCP and NVBP initiatives have been launched for artificial hip and knee joint prostheses (2224).

In this study, we analyzed the impact of NCP and NVBP policies on hospitalization costs, rehospitalization and reoperation rate of THA patients. After the implementation of the NCP policy, the total cost of hospitalization decreased by 10.37%, from $7884.82 to $7067.41. This cost decreased further by 50.10%, reaching $3934.22 after the implementation of the NVBP policy (Table 5). Thus, NCP shows a direct effect on reducing the inpatient burden.

A large part of the total cost savings of hospitals was contributed by lower implant costs. After the implementation of the NCP and NVBP policies, the cost of implants decreased by 20.49 and 78.28%, accounted for 91.73 and 93.21% of the total hospital savings, respectively (Table 5). This finding is particularly important as it highlights the advantages of NCP and NVBP policies in China, especially in reducing the burden of hospitalization for patients.

In addition to the significant decline in the cost of implants, the internal constituent ratio of patients in hospital has changed greatly. However, the proportion of implants decreased significantly, whereas the cost of drugs, surgery, and other consumables, as well as hospitalization costs, only changed to a lesser extent (Figure 3; Supplementary Table 1). During the implementation of the two policies, the operating expenses increased by 89.47%, first from $383.51 to $565.97 and then to $726.64 (Table 5). Similarly, the proportion of the total expenses increased from 4.86 to 18.47% (Figure 3; Supplementary Table 1). Overall, the hospital treatment increased by 19.05%. The increase in operation and treatment costs reflects the increase in technical labor value of medical staff. However, these costs did not contribute to the decrease in total hospitalization cost. This shows that the implementation of NVBP policy has had a positive impact on the control of the total cost of hip joint consumables and helped shape the structure of medical expenses. It is suggested that the medical insurance department should properly raise the price of joint surgery under the condition of comprehensive consideration of surgical labor cost, technical difficulty, risk factors and the affordable range of medical insurance fund, so as to reflect the value of medical personnel’s technical labor.

The rehabilitation cost increased steadily from $45.32 to $72.25, whereas the length of hospitalization decreased (Table 3). The increase in rehabilitation costs suggests that there is a greater focus on interventions to improve the physical function of patients after surgery. There was no significant increase in readmission and reoperation rate of patients (p > 0.05), suggesting that the reduction in hospital stay did not affect the quality of medical services (Table 2).

This study found that whereas the price of implants decreased after the implementation of the policies, that of other consumables increased by 37.44%, reaching $83.34 (Table 5). The consumables included medical 3 M film, surgical suture and disposable anesthetic consumables. As a manager of medical institutions, it is necessary to further strengthen the use of clinical consumables after the implementation of NVBP policy, and guide clinical departments to rationally use medical consumables, especially other consumables except those necessary for surgery, so that NVBP policy can better benefit patients. Reforms in the management of high-value medical consumables take time and require cooperation among multiple departments. For successful reforms, the medical insurance, finance, health care and other departments must actively generate and share their experiences and continue to explore and improve the centralized procurement of various high-value consumables to ultimately reduce the medical burden of patients.

Several previous studies have summarized possible influencing factors for TJA hospitalization costs and reported that patient characteristics, age, hospital stay, postoperative ICU stay, hospital characteristics, socioeconomic factors, and healthcare system factors were associated with hospitalization costs (1820). Similarly, our study showed that age was associated with hospitalization costs, where hospital stay, NCP, and NVBP policies were independent predictors of hospitalization costs.

Our research has several limitations. First, the sample size was small, and therefore, more data are needed to make strong statistical analysis of the results. Second, the study did not analyze the impact of confounding factors such as socioeconomic factors and health care system factors on hospitalization costs, which could increase bias. The study assessed patients’ total hospital costs, which were not covered by Medicare, so the impact of health care system factors was relatively small. Third, the study’s quality of care metrics are limited to rehospitalization and reoperation rates, which could neglect patient-reported outcomes, complication rates, and other clinical measures essential for a comprehensive assessment. Finally, the study was conducted in a single hospital in China, so the findings might not be generalizable to other healthcare settings, especially considering the diverse economic backgrounds of different provinces/cities in China.

5 Conclusion

This study confirmed that Hospital stay, NCP, and NVBP were independent predictors of total hospitalization costs for THA patients. After the implementation of the NVBP policy, the hospitalization expenses incurred by patients decreased significantly, mainly due to the lower cost of implants. The cost of operation and treatment increased, suggesting that an improvement in the technical labor value of the medical personnel. However, the cost of other consumables continued to increase. The implementation of NVBP policy has a positive impact on controlling the cost of consumables for total hip joint. However, a multifaceted method is still needed to solve the problem of increasing costs of other consumables, so as to further reduce the medical burden of patients and shape the structure of medical expenses. Further research in the future will require larger, more diverse samples, longer follow-up periods, and a more comprehensive assessment of costs and the quality of care outcomes.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by the Ethics Committee of Taizhou Hospital of Zhejiang Province, affiliated to Wenzhou Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements.

Author contributions

YF: Conceptualization, Data curation, Software, Writing – original draft. QX: Investigation, Software, Writing – original draft. GJ: Data curation, Writing – original draft, Investigation. LJ: Conceptualization, Data curation, Investigation, Writing – original draft. CW: Conceptualization, Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by Taizhou Science and Technology Project [grant number: KY202209220004 (22ywa47)].

Acknowledgments

We would like to give our sincere appreciation to the reviewers for their helpful comments on this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2024.1383308/full#supplementary-material

References

1. Organisation for Economic Co-operation and Development. OECD health data. (2017).

Google Scholar

2. National Joint Registry. National Joint Registry for England, Wales, Northern Ireland and the Isle of Man: 15th annual report. (2018). Available at: http://www.njrreports.org.uk.

Google Scholar

3. Swedish Hip Arthroplasty Register. The Swedish hip arthroplasty Register: Annual report. (2016). Available at: https://shpr.registercentrum.se/sharin-english/annual-reports-from-the-swedish-hip-arthroplastyregister/p/rkeyyeElz.

Google Scholar

4. Hooper, G, Lee, AJ-J, Rothwell, A, and Frampton, C. Current trends and projections in the utilisation rates of hip and knee replacement in New Zealand from 2001 to 2026. NZ Med J. (2014) 2014:82–93.

Google Scholar

5. Yoon, PW, Lee, YK, Ahn, J, Jang, EJ, Kim, Y, Kwak, HS, et al. Epidemiology of hip replacements in Korea from 2007 to 2011. J Korean Med Sci. (2014) 29:852–8. doi: 10.3346/jkms.2014.29.6.852

PubMed Abstract | Crossref Full Text | Google Scholar

6. Parkinson, B, Sermet, C, Clement, F, Crausaz, S, Godman, B, Garner, S, et al. Disinvestment and value-based purchasing strategies for pharmaceuticals: an international review. PharmacoEconomics. (2015) 33:905–24. doi: 10.1007/s40273-015-0293-8

PubMed Abstract | Crossref Full Text | Google Scholar

7. Smith, C. Retail prescription drug spending in the national health accounts. Health Aff. (2004) 23:160–7. doi: 10.1377/hlthaff.23.1.160

PubMed Abstract | Crossref Full Text | Google Scholar

8. The IQVIA Institute. Global medicine spending and usage trends outlook to 2024. (2020). Available at: https://www.iqvia.com/insights/the-iqvia-institute/reports/global-medicine-spending-and-usage-trends

Google Scholar

9. The Central People’s Government of the People’s Republic of China. 2019 statistical bulletin of China’s health development. (2020). Available at: http://www.gov.cn/guoqing/2021-04/09/content_5598657.htm.

Google Scholar

10. Zhai, T, Zhang, Y, Wan, Q, Chai, P, Guo, F, Li, Y, et al. The results and analysis of national health accounts in China in 2018. Chin Health Econ. (2020) 39:5–8. doi: 10.7664/CHE20200601

Crossref Full Text | Google Scholar

11. National Health Development Research Center of the National Health Commission. China total health expenditure research report. Beijing: Institute of health and economy press (2018).

Google Scholar

12. Dylst, P, Vulto, A, and Simoens, S. Tendering for outpatient prescription pharmaceuticals: what can be learned from current practices in Europe? Health Policy. (2011) 101:146–52. doi: 10.1016/j.healthpol.2011.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

13. Seidman, G, and Atun, R. Do changes to supply chains and procurement processes yield cost savings and improve availability of pharmaceuticals, vaccines or health products? A systematic review of evidence from low-income and middle-income countries. BMJ Glob Health. (2017) 2:e000243. doi: 10.1136/bmjgh-2016-000243

PubMed Abstract | Crossref Full Text | Google Scholar

14. Li, Y, Ying, C, Sufang, G, Brant, P, Bin, L, and Hipgrave, D. Evaluation, in three provinces, of the introduction and impact of China’s National Essential Medicines Scheme. Bull World Health Organ. (2013) 91:184–94. doi: 10.2471/BLT.11.097998

PubMed Abstract | Crossref Full Text | Google Scholar

15. General Office of the State Council of the People’s Republic of China. Pilot program for national centralized drug procurement and use. (2019). Available at: http://www.gov.cn/zhengce/content/2019-01/17/content_5358604.htm.

Google Scholar

16. Yang, Y, Chen, L, Ke, X, Mao, Z, and Zheng, B. The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018-2019: an interrupted time-series analysis. BMC Health Serv Res. (2021) 21:668. doi: 10.1186/s12913-021-06698-5

PubMed Abstract | Crossref Full Text | Google Scholar

17. Shanghai Joint Procurement Office. Announcement of the results of the planned selection of centralized drug procurement in 4+7 cities. (2018). Available at: http://www.smpaa.cn/gjsdcg/2018/12/07/8531.shtml.

Google Scholar

18. Gui, Q, Zhang, X, Liu, L, Zhao, F, Cheng, W, and Zhang, Y. Cost-utility analysis of total knee arthroplasty for osteoarthritis in a regional medical center in China. Health Econ Rev. (2019) 9:15. doi: 10.1186/s13561-019-0231-0

PubMed Abstract | Crossref Full Text | Google Scholar

19. Long, H, Zeng, C, Shi, Y, Wang, H, Xie, D, and Lei, G. Length of stay and inpatient charges of total knee arthroplasty in China: analysis of a national database. Chin Med J. (2023) 136:2050–7. doi: 10.1097/CM9.0000000000002220

PubMed Abstract | Crossref Full Text | Google Scholar

20. Tang, S, Meng, Q, Chen, L, Bekedam, H, Evans, T, and Whitehead, M. Tackling the challenges to health equity in China. Lancet. (2008) 372:1493–501. doi: 10.1016/S0140-6736(08)61364-1

PubMed Abstract | Crossref Full Text | Google Scholar

21. Navathe, AS, Troxel, AB, Liao, JM, Nan, N, Zhu, J, Zhong, W, et al. Cost of joint replacement using bundled payment models. JAMA Intern Med. (2017) 177:214–22. doi: 10.1001/jamainternmed.2016.8263

Crossref Full Text | Google Scholar

22. Medical Price and Bidding Procurement Guidance Center of the National Medical Security Bureau. Rapid data collection and price monitoring of the second batch of national centralized procurement of high-value medical consumables. (2020). Available at: https://www.cn-healthcare.com/articlewm/20201125/content-1166377.html.

Google Scholar

23. The National Health Insurance Bureau and eight other departments. The state organizes the guidance on the national volume-based procurement and use of high-value medical consumables. (2021). Available at: http://www.nhsa.gov.cn/art/2021/6/4/art_37_5208.html.

Google Scholar

24. National Organization Joint Procurement Office of High-value Medical Consumables. Announcement of national organization on national volume-based procurement of artificial joints (No. 1). (2021). Available at: https://hc.tjmpc.cn:10128/public/show14363.html.

Google Scholar

25. Zhejiang Provincial Medical Security Bureau. The selection results of the national volume-based procurement of artificial joints by the national organization. (2022). Available at: http://ybj.zj.gov.cn/art/2022/4/27/art_1229225636_4918439.html.

Google Scholar

26. National bureau of statistics of china. National data reports from China, (2023). Available at: http://data.stats.gov.cn/search.htm?s=CPI. Accessed 20 May 2024.

Google Scholar

27. Wang, J, Yang, Y, Xu, L, Shen, Y, Wen, X, Mao, L, et al. The impact of National Centralized Drug Procurement policy on the use of policy-related original and generic drugs in public medical institutions in China: a difference-indifference analysis based on national database. Med Rxiv. (2021). doi: 10.1101/2021.06.21.21256568

Crossref Full Text | Google Scholar

28. Chen, L, Yang, Y, Luo, M, Hu, B, Yin, S, and Mao, Z. The impacts of National Centralized Drug Procurement Policy on drug utilization and drug expenditures: the case of Shenzhen, China. Int J Environ Res Public Health. (2020) 17:9415. doi: 10.3390/ijerph17249415

PubMed Abstract | Crossref Full Text | Google Scholar

29. Wang, Y, Xu, W, Lu, N, Zhang, S, Shang, B, Liu, C, et al. Analysis of the effect of “4 + 7” centralized procurement policy implementation: based on the drug sales data of 9 pilot regions. Chin J Health Policy. (2021) 14:36–43.

Google Scholar

30. He, J, Tang, M, Cong, L, Xu, Y, Song, J, Chen, M, et al. The impact of National Centralized Drug Procurement on the clinical management and drug use. Chinese Health Res. (2021) 24:29–31. doi: 10.13688/j.cnki.chr.2021.200802

Crossref Full Text | Google Scholar

31. Wang, H, Li, X, and Chen, J. Impact of “4 + 7” City drug centralized procurement program on the utilization of original and generic cardiovascular drugs in a tertiary hospital. J Pharm Prac. (2020) 38:373–8. doi: 10.12206/j.issn.1006-0111.202001054

Crossref Full Text | Google Scholar

32. Wen, X, Wang, Z, Xu, L, Luo, J, Geng, X, Chen, X, et al. The impacts of the “4+7” pilot policy on the volume, expenditures, and daily cost of serotonin-specific reuptake inhibitors (SSRIs) antidepressants: a quasi-experimental study. Front Pharmacol. (2022) 13:829660. doi: 10.3389/fphar.2022.829660

PubMed Abstract | Crossref Full Text | Google Scholar

33. Medical Price and Bidding Guidance Center of the National Medical Security Bureau. National organization’s national volume-based procurement plan for coronary stents with volume (draft for comment). (2020). Available at: https://www.163.com/dy/article/FH9C6IM10534B7I4.html.

Google Scholar

Keywords: national volume-based procurement (NVBP), national centralized procurement (NCP), implant cost, composition of hospitalization cost, total hip arthroplasty

Citation: Fan Y, Xu Q, Jin G, Jiang L and Wang C (2024) The cost of total hip arthroplasty: compare the hospitalization costs of national centralized procurement and national volume-based procurement. Front. Public Health. 12:1383308. doi: 10.3389/fpubh.2024.1383308

Received: 07 February 2024; Accepted: 19 June 2024;
Published: 08 July 2024.

Edited by:

Tanveer Ahmed Khan, National Institute of Health, Pakistan

Reviewed by:

Xiaomo Xiong, University of Cincinnati, United States
Muhammad Fawad Rasool, Bahauddin Zakariya University, Pakistan

Copyright © 2024 Fan, Xu, Jin, Jiang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lingjun Jiang, 1120@enzemed.com; Chenglong Wang, 505890491@qq.com

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.