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Zhao X, Li L, Zhang D. The cross-regional settlement methods in hospitals and the treatment-seeking behavior of patients with malignant tumors in China: an evolutionary game model. Front Public Health 2024; 12:1427164. [PMID: 39086813 PMCID: PMC11289844 DOI: 10.3389/fpubh.2024.1427164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 06/17/2024] [Indexed: 08/02/2024] Open
Abstract
Background Cross-regional settlement management is a key indicator of national health insurance system maturity. Given the significant demand for cross-regional medical treatment among Chinese patients with malignant tumors and the territorially managed health insurance system, further research is necessary to explore the relationship between hospital settlement methods and treatment-seeking behaviors among these patients. This study introduces and validates an evolutionary game model that provides a theoretical foundation for direct settlement policies in cross-regional treatment. Methods An evolutionary game model was constructed with patients and hospitals serving as strategic players within a dynamic system. This model integrates the patients' treatment utility, medical and nonmedical costs, and hospitals' financial and technological advancement benefits. Results The evolutionary stability analysis revealed seven-game outcomes between hospitals and patients with malignant tumors. The numerical simulations suggest an evolutionary convergence toward strategy (1, 0), indicating a trend where patients with malignant tumors opt for cross-regional treatment, yet hospitals choose not to implement a direct settlement policy. Parameter sensitivity analysis showed that the parameters set in this study affected player behavioral choices and game equilibria. Conclusion A strong demand for cross-regional medical treatment among Chinese patients with malignant tumors, and some hospitals require more incentives to implement cross-regional settlements. The key factors influencing the willingness of some patients with malignant tumors to resettle include the costs of in-area medical care, costs of cross-regional treatment without direct settlement, and the utility of cross-regional treatment. Technological advancement benefits and input costs influence some hospitals' motivation to adopt cross-regional settlements. Policy adjustments that effectively implement direct settlement policies can facilitate equilibrium, enhance the initiatives of some local health insurance management departments, improve the accessibility and efficiency of medical services, and reduce nonmedical expenses for patients.
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Affiliation(s)
- Xinzhe Zhao
- Genertec Universal Medical Group, Beijing, China
| | - Linjin Li
- Institute for Hospital Management, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Dan Zhang
- Institute for Hospital Management, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
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Song T, Ma R, Zhang X, Lv B, Li Z, Guo M, Yuan M, Tang Z. Analysis of the current status and influencing factors of cross-regional hospitalization services utilization by basic medical insurance participants in China - taking a central province as an example. Front Public Health 2023; 11:1246982. [PMID: 38164453 PMCID: PMC10757919 DOI: 10.3389/fpubh.2023.1246982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
Background The geographically uneven distribution of healthcare resources has resulted in a dramatic increase of cross-regional hospitalization services in China. The over-use of cross-regional hospitalization services may hinder the utilization and improvement of local hospitalization services. It is of great practical significance to study the utilization of cross-regional hospitalization services and its influencing factors in order to effectively allocate medical resources and guide patients to seek medical treatment rationally. Therefore, this study aims to analyze the current situation and influencing factors of the utilization of cross-regional hospitalization services by patients insured by basic medical insurance in China. Methods A total of 3,291 cross-provincial inpatients were randomly selected in a central province of China in 2020. The level of medical institutions, hospitalization expenses and actual reimbursement rate were selected as indicators of hospitalization service utilization. Exploratory factor analysis was used to assess the dimensionality of influencing factors and reduce the number of variables, and binomial logistic regression analysis and multiple linear regression analysis to explore the influencing factors of the utilization of cross-regional hospitalization services. Results The proportion of cross-provincial inpatients choosing tertiary hospitals was the highest with average hospitalization expenses of 24,662 yuan and an actual reimbursement rate of 51.0% on average. Patients insured by Urban Employees' Basic Medical Insurance (UEBMI) were more frequently (92.9% vs. 88.5%) to choose tertiary hospitals than those insured by Urban and Rural Residents' Basic Medical Insurance (URRBMI), and their average hospitalization expenses (30,727 yuan) and actual reimbursement rate (68.2%) were relatively higher (p < 0.001). The factor "income and security," "convenience of medical treatment" and "disease severity" had significant effects on inpatients' selection of medical institution level, hospitalization expenses and actual reimbursement rate, while the factor "demographic characteristics" only had significant effects on hospitalization expenses and actual reimbursement rate. Conclusion Cross-provincial inpatients choose tertiary hospitals more frequently, and their financial burdens of medical treatment are heavy. A variety of factors jointly affect the utilization of cross-provincial hospitalization services for insured patients. It is necessary to narrow down the gap of medical treatment between UEBMI and URRBMI patients, and make full use of high-quality medical resources across regions.
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Affiliation(s)
| | | | | | | | | | | | | | - Zhiru Tang
- School of Health Service and Management, Anhui Medical University, Hefei, Anhui, China
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Han G, Cui L, Sun C, Yu L, Liu S. Efficacy of mFOLFOX6 plus bevacizumab regimen in advanced colorectal cancer after deep hyperthermia: a single-center retrospective study. Front Oncol 2023; 13:1259713. [PMID: 38125935 PMCID: PMC10732353 DOI: 10.3389/fonc.2023.1259713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 11/22/2023] [Indexed: 12/23/2023] Open
Abstract
Background This study aimed to explore the clinical efficacy and safety of a modified FOLFOX6 (oxaliplatin + leucovorin + 5-fluorouracil) plus bevacizumab regimen after deep hyperthermia in advanced colorectal cancer. Methods A total of 80 colorectal cancer patients treated at our hospital were selected as research subjects. According to the random number table method, patients were divided into a control group (mFOLFOX6 plus bevacizumab) and a combination group (mFOLFOX6 plus bevacizumab after deep hyperthermia treatment), with 40 patients in each group. After six cycles of treatment, the objective response rate (ORR), disease control rate (DCR), levels of serum tumor markers carcinoembryonic antigen (CEA), vascular epidermal growth factor (VEGF), Karnofsky performance status (KPS) scores, and the occurrence of adverse events were compared between the two groups. Results After six cycles of treatment, the ORR in the combination group was higher than that in the control group, but the difference was not statistically significant (P>0.05). The DCR in the combination group was significantly higher than that in the control group (P<0.05). The serum CEA levels in the control and combination groups after treatment were significantly lower than those before treatment, and the serum CEA and VEGF levels in the combination group were significantly lower than those in the control group (all P<0.001). The KPS scores in both groups after treatment were higher than those before treatment, and the KPS scores in the combination group after treatment were significantly higher than those in the control group (all P<0.001). The incidence of fatigue and pain in the combination group was significantly lower than that in the control group (P<0.05). Conclusion mFOLFOX6 plus bevacizumab after deep hyperthermia is effective in advanced colorectal cancer patients, which can effectively improve their quality of life, and the adverse events are controllable and tolerable. A randomized or prospective trial will be required to further prove these data and explore its potentiality, especially if compared to conventional treatment.
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Affiliation(s)
| | | | | | | | - Shenzha Liu
- Department of Oncology, Jingjiang People’s Hospital Affiliated with Yangzhou University, Jingjiang, China
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Wang P, Cheng L, Li Y, Zhang Y, Huang W, Li S, Wang Z, Shan L, Jiao M, Wu Q. Factors and key problems influencing insured's poor perceptions of convenience of basic medical insurance: a mixed methods research of a northern city in China. BMC Public Health 2023; 23:1066. [PMID: 37277834 DOI: 10.1186/s12889-023-15993-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 05/26/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND This study aimed to explore the factors that affect insured's perceptions of convenience of the basic medical insurance (PCBMI) in Harbin, China and to diagnose the key problems to further propose corresponding measures. The findings provide evidence-based support for the reform of convenience of the basic medical insurance system (BMIS) and the cultivation of public literacy. METHODS We adopted a mixed methods design composing a multivariate regression model using the data from a cross-sectional questionnaire survey (n = 1045) of residents who were enrolled for BMIS in Harbin to identify the factors influencing the PCBMI. A quota sampling method was further adopted. Semi-structured interviews were then conducted with 30 important information providers selected by convenience sampling. Interpretative phenomenological analysis was employed to summarize and analyze the key problems. RESULTS Overall, approximately 51% of respondents reported poor PCBMI. The logistic regression model showed that insured without outpatient experience within two weeks (OR = 2.522, 95% CI = 1.267-5.024), had poorer levels of understanding of basic medical insurance information (OR = 2.336, 95% CI = 1.612-3.386), lived in rural areas (OR = 1.819, 95% CI = 1.036-3.195), had low levels of annual out-of-pocket medical expenses (OR = 1.488, 95% CI = 1.129-1.961), and were more likely to give the PCBMI a worse evaluation than their counterparts. The results of the qualitative analysis showed that the key problem areas of the PCBMI were the design of the BMIS, the cognitive biases of the insured, publicity information about the BMIS, and the health system environment. CONCLUSIONS This study found that in addition to the design of BMIS, the cognition of the insured, the BMIS information publicity and the health system environment are also the key problems hindering PCBMI. While optimizing system design and implementation, Chinese policymakers need to focus on the insured with low PCBMI characteristics. Moreover, it is necessary to focus on exploring effective BMIS information publicity methods, supporting public policy literacy and improving the health system environment.
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Affiliation(s)
- Peng Wang
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Lixia Cheng
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Ye Li
- School of Public Health, Harbin Medical University, Harbin, 150081, China
- Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China
| | - Yuchao Zhang
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Weiqi Huang
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Shuyi Li
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Zhizhen Wang
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China
- School of Public Health, Harbin Medical University, Harbin, 150081, China
| | - Linghan Shan
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
- School of Public Health, Harbin Medical University, Harbin, 150081, China.
| | - Mingli Jiao
- School of Public Health, Harbin Medical University, Harbin, 150081, China.
- Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
| | - Qunhong Wu
- Department of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
- School of Public Health, Harbin Medical University, Harbin, 150081, China.
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