Does the Direct Settlement Policy of Trans-Provincial Outpatient Expenses Aggravate the Siphoning Effect? An Empirical Study on Yangtze River Delta, China
1
School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200032, China
2
Research Institute of Health Development Strategies, Fudan University, Shanghai 200032, China
*
Author to whom correspondence should be addressed.
†
These authors contributed to the work equally and should be regarded as co-first authors.
Int. J. Environ. Res. Public Health 2021, 18(19), 10001; https://doi.org/10.3390/ijerph181910001
Submission received: 2 August 2021
/
Revised: 11 September 2021
/
Accepted: 16 September 2021
/
Published: 23 September 2021
Abstract
:To solve the problem of reimbursing trans-regional medical expenses, using only cross-regional manual reimbursement but not direct medical insurance card settlement, China implemented a pilot policy of direct settlement of trans-provincial outpatient expenses (DSTOE) in the Yangtze River Delta region. Due to the differences in inter-regional medical development, patients often migrate from areas with low-level medical resources to the high-level areas, a phenomenon that we define as the “siphoning” of trans-regional patients, which can cause a variety of problems. To study whether DSTOE aggravates the siphoning effect, we analyzed the changes in the volume of trans-provincial outpatient visits and conducted a questionnaire survey and factor analysis on the willingness of trans-provincial medical treatment under DSTOE. Results showed that manual reimbursement was gradually replaced by direct settlement, while the total volume was not increased significantly, and the ratio of outpatient visits flowing into and out from Shanghai decreased. The majority of questionnaire respondents confessed that their willingness toward trans-regional medical treatment increased, while their first choice of medical location was still mainly local, with only a few indicating that they would directly choose a cross-regional, higher-level medical institution. Spatial accessibility significantly restricted the seeking of trans-regional medical treatment, whereas age, education level, and policy awareness served as significant protective factors for the choice of medical location. In conclusion, due to space accessibility constraints, insufficient policy coverage, and the rationale for choice of location, DSTOE did not aggravate the siphoning effect of trans-regional patients.
1. Background
China has put in place the world’s largest social health insurance system, which already covers 1.36 billion people as of 2020 [1], and it has initially completed urban–rural integration [2]. However, since China’s medical insurance pooling level remains at the county and city level, insured residents need to go through a series of troublesome procedures for reimbursement after receiving medical treatment outside their insured area [3]. With the continued urbanization of China [4], the gradual increase in cross-regional population mobility [5] has also increased the demand for medical treatment outside insured areas, which makes reimbursement of medical treatment in different insured areas increasingly troublesome. This situation presents a great challenge for the reform of China’s medical insurance system. In this context, China implemented a pilot policy of direct settlement of trans-provincial outpatient expenses (DSTOE) in September 2018 across the Yangtze River Delta region, which includes the four provincial administrative regions of Shanghai, Jiangsu, Zhejiang, and Anhui [6]. As of 2020, the pilot has expanded to all 41 cities in the Yangtze River Delta and has enrolled 5173 medical institutions [7].
The Yangtze River Delta is the region with the largest scale of trans-provincial medical treatment in China. Among these, Shanghai, a medical highland in the Yangtze River Delta, is a strong attraction for trans-provincial patients, especially those from the Yangtze River Delta. The data show that Shanghai ranks first in China in terms of the influx of trans-provincial patients [8]. Due to the imbalanced distribution of medical resources, a large number of trans-provincial patients visit Shanghai for higher-level medical treatment every year [9], which we call the “siphoning effect” of trans-provincial patients. The siphoning effect has not only exerted unwanted pressure on medical resources in Shanghai by causing problems such as difficulty in registering and long queues in outpatient clinics [10,11], but also caused the loss of patients in their insured areas, which is harmful to the development of local medical services, thereby aggravating the unbalanced distribution of medical resources [12].
The inconvenience of medical treatment reimbursement in different insured areas has always been regarded as a floodgate for trans-provincial medical treatment, which restricts patients from seeking nonessential trans-provincial medical treatment. Since the implementation of the policy of DSTOE, there has been a concern that the facilitation of trans-provincial medical insurance settlement will open the floodgates, further promoting trans-regional patient siphoning in the Yangtze River Delta [13]. However, there is still a lack of evidence to address this concern. As such, we aimed to conduct an empirical analysis on whether the DSTOE policy has intensified trans-regional patient siphoning in the Yangtze River Delta area.
2. Methods and Materials
2.1. Instruments
To study whether the policy of DSTOE aggravated the siphoning of trans-provincial patients by Shanghai, this study was conducted using three approaches. Firstly, through institutional statistical data, we analyzed the changes that have occurred since the implementation of DSTOE, and whether there has been a significant increase in the total and structural changes in the volume of trans-provincial outpatients around Shanghai and the other three provinces in the Yangtze River Delta. Secondly, through a questionnaire survey, we evaluated the views of people regarding DSTOE after the implementation of the policy on three aspects: their awareness of DSTOE, their willingness to seek trans-provincial medical treatment, and their location choice for the first medical consultation. Thirdly, we also analyzed the factors affecting patients’ trans-provincial medical inclinations, including travel convenience, age, household income, education level, and self-reported health status.
2.2. Data Collection
2.2.1. Trans-Provincial Outpatient Volume Data
According to the policies of trans-provincial outpatient settlement, the actual outpatient settlement can be done in three ways: (1) self-pay (outpatient expenses are not reimbursed by insurance), (2) manual reimbursement (patients pay in advance and return to the medical insurance institution of the insured area for reimbursement), and (3) direct settlement with medical insurance card (patients need not return to the insured area for reimbursement).
In this study, we mainly analyzed the volume of outpatient direct settlement in two moving directions, including patients from Shanghai to Jiangsu, Zhejiang, and Anhui (direction A), and patients from Jiangsu, Zhejiang, and Anhui to Shanghai (direction B). To analyze the trans-provincial outpatient volume of both directions, we obtained relevant data from the Shanghai Medical Insurance Center, Jiaxing Medical Insurance Center, and four key tertiary hospitals in Shanghai. The specific data sources are listed in Table 1.
2.2.2. Questionnaire Survey
As shown in Figure 1, according to the established proportions of city, age, and sex, the research team distributed 20,000 copies of the questionnaire regarding trans-provincial medical treatment and the policy of DSTOE, through a stratified random sampling of patients across 41 cities in the Yangtze River Delta. After a total of 15,490 copies were retrieved and 1109 unqualified copies were discarded, a final total of 14,381 valid copies were obtained. The inclusion criteria were (1) respondents who were more than 15 years old, (2) who lived in Shanghai, Jiangsu, Zhejiang, or Anhui province, and (3) who enjoyed one or more types of medical insurance. The exclusion criteria were missing answers or not filling in answers as required.
A descriptive analysis of the social anthropological information in the valid copies is shown in Table 2. Household income (monthly), education level, and health status were self-reported by the respondents. Household income (monthly) refers to the total monthly household income after tax. Education level refers to the final educational background when respondents answered the questionnaire, classified in three levels as high school and below, junior college degree, and bachelor’s degree and above. To establish self-reported health status, respondents were asked the following question: “Would you say your health in general is healthy, fair, or unhealthy?”
2.3. Data Analysis
We adopted Pearson’s correlation test to examine the relationship between trans-provincial outpatient volume and the distance to Shanghai, and we drew a heatmap of trans-provincial outpatient volume to Shanghai using Excel map tools (Microsoft Corporation, Redmond, WA 98052-7329, USA). Moreover, we adopted logistic regression analysis to analyze the influence of factors on choice of first consultation place under the policy of DSTOE. All p-values were double-sided with a CI of 95%.
3. Results
3.1. Outpatient Volume of Direct Settlement
To ensure the comparability of the analysis and exclude the impact of the COVID-19 epidemic from February to May 2020, we chose three time periods from June to August in 2018, 2019, and 2020, respectively, for comparison. The results showed that, after the implementation of DSTOE, the total number of trans-provincial outpatients in direction A (from 56,504 to 87,770, increased by 55.3%) and the proportion of direct settlement (from 0.0% to 38.2%) increased significantly (Figure 2).
In direction B, taking Jiaxing, Zhejiang as an example (Figure 2), the total number of trans-provincial outpatients initially rose in 2019 (from 7441 to 8886) and then fell in 2020 (from 8886 to 7948) for a net gain of 6.8% in 2 years, while a faster growth in the proportion of direct settlement outpatients was observed (from 0.0% to 20.9%). The results suggest that, after the implementation of the policy, the stimulus effect on the total provincial outpatient volume was not significant, especially in direction B. The trans-provincial outpatient volume indicated more structural changes, such as the gradual replacement of the original manual reimbursement via the direct swiping of medical insurance cards.
Further analysis was conducted on the ratio of outpatient visits in both directions (direction B/direction A). As shown in Figure 3, in the 2 years of the pilot program (September 2018–September 2020), the ratio of direct settlement for outpatient visits in the two directions gradually decreased and stabilized in the later period. As of September 2020, the ratio of outpatient visits in both directions was 3.8. The visits from three provinces of Jiangsu, Zhejiang, and Anhui to Shanghai accounted for 73% of the total in both directions, while visits from Shanghai to the three provinces accounted for 27% of the total. The above results show that, although the implementation of the policy has attracted more trans-provincial patients to Shanghai for outpatient treatment, there are still a considerable number of Shanghai insured patients going to Jiangsu, Zhejiang, and Anhui for outpatient treatment. The ratio of the two directions was relatively balanced, which suggests that the implementation of the policy did not siphon patients from the insured area to Shanghai as per our predictions.
3.2. Questionnaire Survey in 41 Cities of Yangtze River Delta
As shown in Table 3, among the surveyed population, only 6399 (44.50%) were aware of the DSTOE. After being made aware of the policy, 9184 (63.86%) respondents reported an increase in their willingness to seek trans-regional medical treatment, suggesting that the convenience of settling trans-provincial medical expenses has a promoting effect on the willingness to seek trans-provincial medical treatment.
However, when asked about their choice of an initial visit, 7349 (51.10%) of the respondents would still choose to go to local medical institutions first. In addition, 5693 (39.59%) would choose the place of medical treatment according to their actual condition, which meant that they would choose local medical institutions for mild illnesses, and they would only choose to visit medical institutions out of the insured area for better medical treatment if they had a severe illness. Only 1339 (9.31%) respondents would consider going directly to a remote place with better medical conditions for the first medical consultation. The above results suggest that people are still relatively rational in choosing the location for the first consultation, whereby local medical resources are still their first choice, and trans-provincial medical treatment is seen as a last resort to treat serious illnesses that cannot be treated by local medical institutions.
3.3. Factor Analysis of Trans-Provincial Medical Treatment Seeking
3.3.1. Spatial Accessibility
Using four key general hospitals in Shanghai as samples, we analyzed the volume of outpatient visits who directly used insurance cards for settlement from 40 cities in the Yangtze River Delta to reflect the attractiveness of Shanghai to insured persons in different cities after the implementation of the DSTOE. To ensure comparability, a timespan was selected from October 2019 to September 2020, while outpatient visits using direct insurance card settlement standardized by city population were used for comparison, which is abbreviated as “standardized outpatient volume (SOV)” (visits/105).
The results of the heatmap (Figure 4) show that SOV was much higher in cities around Shanghai, and that the SOV decreased as the distance from Shanghai increased. Pearson correlation analysis results showed a significant correlation between SOV and the distance to Shanghai, with a correlation coefficient of −0.491 (p = 0.001, two-tailed) (Supplementary Table S1). The results above suggest that the attraction of Shanghai to trans-provincial patients is significantly restricted by the accessibility of space.
We classified the 40 cities according to the number of high-speed rail hours taken to reach Shanghai (Figure 5) and found that the outpatient visits with direct insurance card settlement (OV) within 1 h (7 cities) of Shanghai accounted for 31.5%, OV within 1 h to 2 h (12 cities) to Shanghai accounted for 47.2%, and OV of the other 21 cities more than 2 h away from Shanghai accounted for only 21.3%, which further supports the impact of spatial accessibility on trans-provincial outpatients.
3.3.2. Determinants of Choice of Location for the First-Medical Consultation
It is considered a reasonable and rigid demand that patients are transferred to medical institutions with better conditions out of town when local medical resources are insufficient to meet the needs of disease treatment. This is the kind of demand that the DSTOE policy aims to serve. In contrast, the direct choice of first diagnosis in medical institutions outside the insured area, induced by the convenience of trans-provincial reimbursement under DSTOE, is a nonrigid pursuit of high-level medical treatment, which deviates from the principle of hierarchical diagnosis and treatment [14]. This kind of excessive trans-regional medical treatment would undoubtedly bring unnecessary pressure to medical institutions in the medical treatment area, which policymakers hope to control.
According to whether the respondent would directly choose medical institutions out of the insured area under the DSTOE policy, we divided the choice of first medical consultation into two categories. We then adopted logistic regression to analyze the effects of factors on the choice of first consultation place under the policy, such as age, family income, education level, self-reported health level, and policy awareness.
As shown in Table 4, compared with younger respondents (age 15–49), aging respondents (age > 65) were less likely to choose a cross-regional institution for the first consultation (β = −0.402, OR = 0.669, p < 0.001). Respondents who self-reported as healthy were more likely to seek trans-regional medical consultation, and this tendency was 1.464 times that of respondents who self-reported as unhealthy (β = 0.381, OR = 1.464, p = 0.006). Interestingly, respondents who were aware of the policy were 30.4% less likely to choose trans-regional consultation than those who were not (β = −0.363, OR = 0.696, p < 0.001).
4. Discussion
4.1. Non-Aggravation of Trans-Provincial Patient Siphoning in the Yangtze River Delta by DSTOE
From the perspective of changes in the volume and structure of outpatients after the implementation of the policy, the total number of outpatient clinics in the Yangtze River Delta did not increase significantly, while the direct settlement rate continued to rise, mainly due to structural adjustments. Moreover, judging by the proportion of trans-provincial outpatients with direct settlement in the two directions, the DSTOE pilot has met the medical needs of not only the trans-provincial outpatient patients from Jiangsu, Zhejiang, and Anhui to Shanghai, but also vice versa to a large extent. It can be said that the convenience of trans-provincial medical insurance settlement has not caused increased unidirectional outpatient flows in the Yangtze River Delta. In other words, there is no evidence of a cross-regional siphon. In general, the DSTOE policy has achieved mutual benefit between Shanghai and the three provinces of Jiangsu, Zhejiang, and Anhui, and an increasing number of patients with actual trans-provincial medical needs have enjoyed the convenience brought about by the DSTOE policy.
4.2. Analysis of the Reasons Why Siphoning of Trans-Provincial Patients Was Not Caused by DSTOE
First, trans-provincial outpatient visits were significantly restricted by the convenience of travel. Since outpatient expenses are generally small, travel costs, which cannot be reimbursed by medical insurance, can account for a considerable proportion of the total expenses of trans-provincial outpatient treatment. This makes travel convenience an important factor in the choice of outpatient locations [9,15]. Our results showed that outpatient visits with direct insurance card settlement from 40 cities in Jiangsu, Zhejiang, and Anhui to Shanghai showed a significant negative correlation with the distance from the insured cities to Shanghai, which also supports the restrictive effect of travel costs on trans-provincial outpatient treatment. Therefore, even with the convenience increase in medical insurance settlement for trans-provincial outpatients, the attractiveness of high-level medical areas such as Shanghai to trans-provincial patients is still limited. A longer distance leads to lower attractiveness, which makes the scope of the siphon effect controllable.
Second, the patients’ location choice for first medical consultation was still rational. From the analysis of the questionnaire results, most of the interviewees would still choose their local institution for the first medical consultation even when aware of the DSTOE policy, and they would only consider going to a cross-regional institution with better medical resources if their symptoms were severe, which indicates a clear relationship between the location choice of the first medical consultation and the severity of the patient’s health condition. Generally, patients with diseases that can be effectively resolved locally would not choose to seek trans-provincial medical treatment. Therefore, we can consider that the population seeking trans-provincial medical treatment is controllable.
Lastly, the low policy awareness rate was also one of the reasons why DSTOE did not aggravate the siphoning of trans-provincial patients. After all, our results showed that the policy awareness rate was only 44.5%. This might be due to the conservative propaganda principles adopted by government departments. Through further interviews after the questionnaire survey, it was found that most interviewees were aware of the DSTOE policy only through hospitals and medical insurance reimbursement agencies. In addition, as shown in our survey, there are still many diseases, such as outpatient chronic diseases, outpatient special diseases, and other diseases with higher demands and higher costs, not included in the scope of DSTOE due to large policy differences across cities [16]. These kinds of problems have also been corroborated in other studies [17,18].
4.3. Policy Recommendations
At present, this policy has entered a critical period, from pilot to nationwide promotion. After the Fourth Session of the 13th National People’s Congress, Premier Li Keqiang claimed that, by the end of 2022, each county will enroll at least one designated medical institution that will directly reimburse medical expenses, including outpatient fees [19]. To prevent the promotion of DSTOE stimulating the siphoning of trans-provincial patients, we recommend that efforts be directed in two aspects.
First, we recommend implementing a policy of cross-regional hierarchical diagnosis and treatment to promote the orderly flow of cross-regional patients. The results of the questionnaire survey showed that 63.86% of the respondents still had an increased willingness to seek better trans-regional medical treatments under the policy, which indicates that we are still facing the risk of the policy triggering the siphoning of trans-regional patients. Just as floods should be dredged rather than blocked, we recommend implementing a cross-regional hierarchical diagnosis and treatment in the four provinces of the Yangtze River Delta, which means that they should visit their local primary hospital for first medical consultation, seek treatment at local higher-level medical institutions for common diseases and most intractable diseases, and visit regional and even national medical centers through more convenient channels for a small number of very complicated, difficult, and severe diseases [7]. Through this kind of cross-regional hierarchical diagnosis and treatment, most patients would be kept in local medical institutions, enabling a measure of control over the siphoning of trans-regional patients.
Second, we recommend appropriately increasing awareness of the DSTOE policy, especially for key populations in trans-provincial medical treatment. This study found that policy awareness is not an expected promotion factor for trans-provincial medical treatment, but a protective factor. The public’s understanding of the policy will not stimulate patients to choose trans-regional institutions for the first medical consultation. In contrast, inadequate policy publicity will prevent some patients with reasonable cross-provincial medical needs from successfully swiping their insurance cards, especially for the elderly who might not readily accept the new policy due to their digital illiteracy [20]. As Premier Li Keqiang emphasized, the elderly population is growing, and it has become the norm for them to live with their children outside their hometowns to help out with childcare. Moreover, the elderly have more outpatient needs because they are at higher risk of common chronic diseases and senility; therefore, they are inevitably the largest group seeking outpatient medical treatment in different places [21,22]. On the basis of the above, we recommend targeting publicity efforts at the elderly, which can help us achieve twice the result with half the effort.
5. Limitations
It must be confessed that, from January 2020 to June 2020, the COVID-19 epidemic has severely affected trans-provincial medical treatment seeking. In this study, we took some measures to control its impact, such as choosing the time period (July–September) less affected by the epidemic for comparison. However, the bias induced by the epidemic cannot be completely eliminated. In the future, we will continue to track the progress of DSTOE, in order to obtain more evidence.
6. Conclusions
Due to space accessibility constraints, insufficient policy coverage, and the rationale in choosing the location for the first medical consultation, DSTOE did not aggravate the siphoning effect of trans-regional patients in Yangtze River Delta. To further prevent the promotion of DSTOE stimulating the siphoning of trans-provincial patients, we recommend implementing a policy of cross-regional hierarchical diagnosis and treatment, as well as appropriately increasing awareness of the DSTOE policy, especially for key populations in trans-provincial medical treatment.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/ijerph181910001/s1: Table S1, Correlation analysis between distance from Shanghai (km) and the outpatient visits (October 2019–September 2020).
Author Contributions
L.Z. was responsible for the conceptualization and design of the study; L.L. drafted the manuscript; Data curation, T.Y.; L.L., Q.Z. and Z.J. performed data analysis; Q.Z. and L.Z. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This study was funded by the National Social Science Foundation of China (17BGL185), and the National Natural Science Foundation of China (71573175).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
Conflicts of Interest
The authors declare no potential conflict of interest.
References
- The Communist Party of China and Human Rights Protection—A 100-Year Quest. China: The State Council Information Office of the People’s Republic of China. 2021. Available online: http://english.scio.gov.cn/whitepapers/2021-06/24/content_77584416.htm (accessed on 1 September 2021).
- Zhu, K.; Zhang, L.; Yuan, S.; Zhang, X.; Zhang, Z. Health financing and integration of urban and rural residents’ basic medical insurance systems in China. Int. J. Equity Health 2017, 16, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Shan, L.; Zhao, M.; Ning, N.; Hao, Y.; Li, Y.; Liang, L.; Kang, Z.; Sun, H.; Ding, D.; Liu, B.; et al. Dissatisfaction with current integration reforms of health insurance schemes in China: Are they a success and what matters? Health Policy Plan. 2018, 33, 345–354. [Google Scholar] [CrossRef] [PubMed]
- Gu, C.L.; Hu, L.Q.; Ian, G.C. China’s Urbanization in 1949–2015: Processes and Driving Forces. Chin. Geogr. Sci. 2017, 27, 847–859. [Google Scholar] [CrossRef]
- Taylor, J.R. The China dream is an urban dream: Assessing the CPC’s national new-type urbanization plan. J. Chin. Political Sci. 2015, 20, 107–120. [Google Scholar] [CrossRef]
- Yangtze River Delta Implements a Pilot Policy of Direct Settlement of Trans-Provincial Outpatient Expenses; Xinhua News Agency: Beijing, China, 2018. Available online: http://www.gov.cn/xinwen/2018-09/29/content_5326597.htm (accessed on 25 July 2021).
- Zhang, L.F. Strategy and pathway for the policy of direct settlement of trans-provincial outpatient expenses—take the Yangtze River Delta region as an example. Nanjing Soc. Sci. 2021, 6, 70–77. [Google Scholar]
- Announcement of the General Office of the National Health Commission on the National Monitoring and Analysis of the Performance Appraisal of the National Tertiary Public Hospitals in 2019; National Health Commission of the People’s Republic of China: Beijing, China, 2021. Available online: http://www.gov.cn/xinwen/2021-03/31/content_5597121.htm (accessed on 25 July 2021).
- Fu, L.; Xu, K.; Liu, F.; Liang, L.; Wang, Z. Regional Disparity and Patients Mobility: Benefits and Spillover Effects of the Spatial Network Structure of the Health Services in China. Int. J. Environ. Res. Public Health 2021, 18, 1096. [Google Scholar] [CrossRef] [PubMed]
- Teng, X.M.; Liao, Z.D.; Cheng, P.R.; Chen, S. Study on the Cross Provincial Outpatient Network Settlement in Yangtze River Delta 1Year after the Implementation. Chin. Prim. Health Care 2020, 34, 14–18. [Google Scholar]
- Wang, L.N.; Li, F.; Wang, C.Y.; Chen, W.; Xie, Z.H.; Jin, C.L. Analysis on the impact of non-residents’ medical service utilization on medical services system of Shanghai. Chin. Health Resour. 2014, 17, 330–333. [Google Scholar]
- Yan, X.; Dong, D.; He, S. Examining trans-provincial diagnosis of rare diseases in china: The importance of healthcare resource distribution and patient mobility. Sustainability 2020, 12, 5444. [Google Scholar] [CrossRef]
- Zhang, Y.; Zheng, X.P.; Liu, Y.; Zhang, Y.J. The Problems and Countermeasures of Floating Population’s Medical Insurance Settlement. Health Econ. Res. 2015, 12, 36–39. [Google Scholar]
- Fu, Q. Strategic Choice for Promoting Hierarchical Treatment Model. Chin. Health Econ. 2015, 34, 28–31. [Google Scholar]
- Ulrike, S.; Jeanette, B.; Daniel, F.; Jens, P.; Wolfgang, H.; Neeltje, B. Is there an association between spatial accessibility of outpatient care and utilization? Analysis of gynecological and general care. BMC Health Serv. Res. 2018, 18, 1–11. [Google Scholar]
- Lv, D.W.; Li, L.; Yin, T.; Ji, Z.S.; Xu, H.; Wang, W.J.; Li, M.Z.; Zhang, L.F. A preliminary study on the implementation effect of the inter-provincial direct settlement policy for outpatient expenses in the Yangtze River Delta—Taking Shanghai data as an example. Chin. Med. Insur. 2021, 7, 43–50. [Google Scholar]
- Li, C.Y.; Gao, X.G. Problems and countermeasures in the promotion of trans-provincial medical treatment. Zhongguo Renliziyuan Shehui Baozhang 2018, 2, 22–24. [Google Scholar]
- Jiang, L.W.; Liu, C.H.; Jiang, H.; Li, B. Study on Development Status and Problems of Real-time Settlement of Cross-provincial Medical Insurance in China. Chin. J. Soc. Med. 2020, 37, 125–127. [Google Scholar]
- Li: Reimbursement of Medical Bills to Be Made Easier. China: Chinadaily.com.cn. 2021. Available online: https://www.chinadaily.com.cn/a/202103/11/WS6049f9dba31024ad0baae970.html. (accessed on 25 July 2021).
- Neves, B.B.; Waycott, J.; Malta, S. Old and afraid of new communication technologies? Reconceptualising and contesting the ‘age-based digital divide. J. Soc. 2018, 54, 236–248. [Google Scholar] [CrossRef] [Green Version]
- Fu, Y.; Lin, W.; Yang, Y.; Du, R.; Gao, D. Analysis of diverse factors influencing the health status as well as medical and health service utilization in the floating elderly of China. BMC Health Serv. Res. 2021, 21, 1–21. [Google Scholar] [CrossRef] [PubMed]
- Han, K.; Yao, J.; Yin, X.; Zhao, M.; Sun, Q. Review on the prevalence of diabetes and risk factors and situation of disease management in floating population in China. Glob. Health Res. Policy 2017, 2, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1.
Data collection flowchart.
Figure 2.
Outpatient volume of direct settlement in two directions.
Figure 3.
Outpatient visit ratio in both directions (direction B/direction A).
Figure 4.
The SOV (visits/100,000) from the 40 cities of Yangtze River Delta to four hospitals in Shanghai (October 2019–September 2020).
Figure 4.
The SOV (visits/100,000) from the 40 cities of Yangtze River Delta to four hospitals in Shanghai (October 2019–September 2020).
Figure 5.
The volume of trans-provincial outpatient visits from the 40 cities of Yangtze River Delta to four hospitals in Shanghai. Note: data are classified according to the shortest time to Shanghai by high-speed rail; October 2019–September 2020.
Figure 5.
The volume of trans-provincial outpatient visits from the 40 cities of Yangtze River Delta to four hospitals in Shanghai. Note: data are classified according to the shortest time to Shanghai by high-speed rail; October 2019–September 2020.
Table 1.
Trans-provincial outpatient volume data source.
| Moving Directions | Outpatient Settlement Method | Data Source |
|---|---|---|
| Shanghai to Jiangsu, Zhejiang, and Anhui (Direction A) | Direct settlement | Shanghai Medical Insurance Center |
| Manual reimbursement | Shanghai Medical Insurance Center | |
| Jiangsu, Zhejiang, and Anhui to Shanghai (Direction B) | Direct settlement (total) | Shanghai Medical Insurance Center |
| Direct settlement + manual reimbursement + self-pay (Sample 1) | four key general hospitals in Shanghai | |
| Direct settlement + manual reimbursement (Sample 2) | Medical Insurance Center of Jiaxing, Zhejiang |
Table 2.
Statistics of demographic characteristics.
| Characteristic | Subcategory | Respondents (%) |
|---|---|---|
| Age (in years) | 15–29 | 3211 (23.16%) |
| 30–49 | 5439 (42.86%) | |
| 50–64 | 3612 (22.50%) | |
| 65+ | 2119 (11.48%) | |
| Sex | Male | 7284 (50.65%) |
| Female | 7097 (49.35%) | |
| Province | Shanghai | 3733 (25.96%) |
| Jiangsu | 3598 (25.02%) | |
| Zhejiang | 3327 (23.13%) | |
| Anhui | 3723 (25.89%) | |
| Household income (monthly) | 0–10,000 | 2900 (20.17%) |
| 10,000–20,000 | 7405 (51.49%) | |
| 20,000+ | 4076 (28.34%) | |
| Education level | High school and below | 6063 (42.16%) |
| Junior college degree | 4764 (33.13%) | |
| Bachelor’s degree and above | 3554 (24.71%) | |
| Self-reported health status | Healthy | 10,140 (70.51%) |
| Fair | 3244 (22.56%) | |
| Unhealthy | 997 (6.93%) |
Table 3.
Questionnaire survey around trans-provincial medical treatment.
| Questions | Answers | Volume (%) |
|---|---|---|
| Do you know that you can directly use your medical insurance card as an inter-province outpatient? | Yes | 6399 (44.50%) |
| No | 7982 (55.50%) | |
| What has happened to your willingness to seek medical treatment in another city after the policy? | Increased | 9184 (63.86%) |
| Constant | 4641 (32.27%) | |
| Reduced | 556 (3.87%) | |
| Now that you know the policy, how will you choose the location for the first medical consultation? | Prioritizing the place of residence | 7349 (51.10%) |
| According to the severity of the disease (in the place of residence for milder and in another city with better medical conditions for severer disease) | 5693 (39.59%) | |
| Prioritizing another city with better medical conditions | 1339 (9.31%) |
Table 4.
Factor analysis on choice of first consultation place under the policy.
| Characteristic | Subcategory | Choose a Better Place with Better Medical Condition When First Outpatient Visit | Logistic Regression | |||
|---|---|---|---|---|---|---|
| No | Yes | β | OR | p-Value | ||
| Age (in years) | 15–49 a | 7779 (89.93%) | 871 (10.07%) | |||
| 50–64 | 3298 (91.31%) | 314 (8.69%) | −0.193 | 0.824 | 0.012 | |
| 65+ | 1964 (92.69%) | 155 (7.31%) | −0.402 | 0.669 | <0.001 | |
| Household income (monthly) | 0–10,000 a | 2673 (92.17%) | 227 (7.83%) | |||
| 10,000–20,000 | 6602 (89.16%) | 803 (10.84%) | 0.262 | 1.300 | 0.001 | |
| 20,000+ | 3766 (92.39%) | 310 (7.61%) | −0.108 | 0.898 | 0.265 | |
| Education level | High school and below a | 5507 (90.83%) | 556 (9.17%) | |||
| Junior college degree | 4307 (90.41%) | 457 (9.59%) | −0.177 | 0.837 | 0.019 | |
| Bachelor’s degree and above | 3227 (90.80%) | 327 (9.20%) | −0.167 | 0.846 | 0.058 | |
| Self-reported health status | Unhealthy | 932 (93.48%) | 65 (6.52%) | |||
| Fair | 3030 (93.40%) | 214 (6.60%) | −0.071 | 0.931 | 0.635 | |
| Healthy | 9079 (89.54%) | 1061 (10.46%) | 0.381 | 1.464 | 0.006 | |
| Policy awareness | Not aware a | 5918 (92.48%) | 481 (7.52%) | |||
| Aware | 7123 (89.24%) | 859 (10.76%) | −0.363 | 0.696 | <0.001 | |
a Group refers to the reference group in the study characteristics in the logistic regression.
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Li, L.; Zhou, Q.; Yin, T.; Ji, Z.; Zhang, L. Does the Direct Settlement Policy of Trans-Provincial Outpatient Expenses Aggravate the Siphoning Effect? An Empirical Study on Yangtze River Delta, China. Int. J. Environ. Res. Public Health 2021, 18, 10001. https://doi.org/10.3390/ijerph181910001
AMA Style
Li L, Zhou Q, Yin T, Ji Z, Zhang L. Does the Direct Settlement Policy of Trans-Provincial Outpatient Expenses Aggravate the Siphoning Effect? An Empirical Study on Yangtze River Delta, China. International Journal of Environmental Research and Public Health. 2021; 18(19):10001. https://doi.org/10.3390/ijerph181910001
Chicago/Turabian StyleLi, Li, Qingyu Zhou, Ting Yin, Zisheng Ji, and Lufa Zhang. 2021. "Does the Direct Settlement Policy of Trans-Provincial Outpatient Expenses Aggravate the Siphoning Effect? An Empirical Study on Yangtze River Delta, China" International Journal of Environmental Research and Public Health 18, no. 19: 10001. https://doi.org/10.3390/ijerph181910001
APA StyleLi, L., Zhou, Q., Yin, T., Ji, Z., & Zhang, L. (2021). Does the Direct Settlement Policy of Trans-Provincial Outpatient Expenses Aggravate the Siphoning Effect? An Empirical Study on Yangtze River Delta, China. International Journal of Environmental Research and Public Health, 18(19), 10001. https://doi.org/10.3390/ijerph181910001
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