Patient preferences and attitudes towards first choice medical services in Shenzhen, China: a cross-sectional study

The association between internet use and the choice of medical institution among Chinese older adults

BACKGROUND

As older people have complex medical needs and still encounter challenges in accessing online health information, the relationship between Internet use and the choice of medical institution made by them is unclear, and we aimed to examine this relationship.

METHODS

Data from the newly released 2020 China Family Panel Survey database were used. Furthermore, we used descriptive statistics to analyze the background characteristics of the sample and a logistic regression model to estimate the impact of Internet use on the choice of medical institution made by older adults. We conducted a stratified analysis to explore the influence of different characteristics on the relationship between Internet use and the choice of medical institution.

RESULTS

Totally 4,948 older adults were included. Multivariate logistic regression showed that, compared to non-Internet users, Internet users were less likely to choose community health service centers over general hospitals (P < 0.001, OR = 0.667, 95CI%: 0.558-0.797). The subgroup analyses found that Internet use only had an impact on the choice of medical institution in older adults aged 65-69 years, those with partners, those with primary or secondary education, those residing in urban areas, those without medical insurance, those with a self-rated health status as average or healthy, those with unchanged or better health trend, and those without chronic disease. The effect of Internet use on the choice of medical institution did not differ by sex, satisfaction, or trust in doctors.

CONCLUSION

Internet use may significantly affect older adults' tendency to choose general hospitals to meet their daily medical needs. The subgroup analyses indicated that different characteristics of older people affected this association.

Social Medical Insurances, Choices of Medical Institutions and the 'Siphon Effect' in the Health Service Market: Evidence from 2021 Yangtze River Delta Region of China

Purpose

The siphon effect in the health service market is notably pronounced in many countries. How to measure and identify the determinants contributing to the siphon effect presents a substantial challenge. This study aimed to analyse the effect of two different social medical insurances, the Basic Medical Insurance System for Urban Employees (BMISUE), and the Basic Medical Insurance System for Urban and Rural Residents (BMISURR), on the siphon effect in the health services market.

Methods

The data used in this study were from the 2021 Health Life Satisfaction Survey of Yangtze River Delta (HLSSYRD) conducted by Shanghai Jiao Tong University. The logistic model was used to evaluate the association between social medical insurances and individual choices of medical institutions, and the Propensity Score Matching method (PSM) was used to check the robustness of basic results.

Results

Residents covered by BMISUE were more likely to choose a general hospital when they first sought medical treatment (OR = 5.377, 95% CI: 4.887, 5.915) relative to those insured by BMISURR. Further analysis showed that BMISUE would accelerate the siphon effect of general hospitals, people insured by BMISUE were still more likely to choose general hospitals despite being close to primary hospitals compared to those insured by BMISURR (OR = 3.240, 95% CI: 2.945, 3.565). Heterogeneity analysis indicated BMISUE had a greater impact on residents aged 15-59 years and those with high income compared to older people and individuals with low income.

Conclusion

Different social medical insurances can substantially affect residents' first choice of medical institutions. BMISUE with higher benefits level could exacerbate the siphon effect in the health service market. More equitable medical security system should be strengthened to bridge the benefits gap between BMISUE and BMISURR.

Residents' willingness towards first-contact with primary health care under uncertainty in healthcare: a cross-sectional study in rural China

OBJECTIVE

To estimate Chinese rural residents' willingness degree of initially contacting primary healthcare (PHC) under uncertainty in healthcare and to explore its influencing factors.

SETTING

This study collected primary data from rural residents in Dangyang, Hubei Province in China.

PARTICIPANTS

The study investigated 782 residents and 701 finished the survey. The response rate was 89.64%. A further 27 residents failed the internal consistency test, so the effective sample size was 674.

DESIGN

In this cross-sectional study, residents' willingness was reflected by the threshold of disease severity for PHC (TDSP), the individual maximal disease scope for considering PHC based on residents' decision-making framework. TDSP was measured through scenario tests. Univariate analysis and unordered multiple logistic regression were used to explore the influencing factors of three-level TDSP: low, general, and high.

RESULTS

Only 28.2% of respondents had high TDSP and high willingness towards PHC. Compared with general TDSP, respondents who were younger than 40 (OR 7.344, 95% CI 2.463 to 21.894), rich (OR 1.913, 95% CI 1.083 to 3.379), highly risk-averse (OR 1.958, 95% CI 1.016 to 3.774), had substitute medical decision-maker (OR value of parent/child was 2.738, 95% CI 1.386 to 5.411) and had no visits to PHC in the last 6 months (OR 2.098, 95% CI 1.316 to 3.346) tended to have low TDSP and low willingness towards PHC. Compared with general TDSP, no factors were found to significantly influence respondents' high TDSP.

CONCLUSIONS

TDSP can be a good indicator of residents' willingness. TDSP results demonstrate rural residents' generally low willingness towards first-contact with PHC that some residents refuse to consider PHC even for mild diseases. This study provides practical significance for elaborating the underutilisation of PHC from resident decision-making and offers advice to policymakers and researchers for future modifications.

Does a new case-based payment system promote the construction of the ordered health delivery system? Evidence from a pilot city in China

BACKGROUND

The construction of the ordered health delivery system in China aims to enhance equity and optimize the efficient use of medical resources by rationally allocating patients to different levels of medical institutions based on the severity of their condition. However, superior hospitals have been overcrowded, and primary healthcare facilities have been underutilized in recent years. China has developed a new case-based payment method called "Diagnostic Intervention Package" (DIP). The government is trying to use this economic lever to encourage medical institutions to actively assume treatment tasks consistent with their functional positioning and service capabilities.

METHODS

This study takes Tai'an, a DIP pilot city, as a case study and uses an interrupted time series analysis to analyze the impact of DIP reform on the case severity and service scope of medical institutions at different levels.

RESULTS

The results show that after the DIP reform, the proportion of patients receiving complicated procedures (tertiary hospitals: β3 = 0.197, P < 0.001; secondary hospitals: β3 = 0.132, P = 0.020) and the case mix index (tertiary hospitals: β3 = 0.022, P < 0.001; secondary hospitals: β3 = 0.008, P < 0.001) in tertiary and secondary hospitals increased, and the proportion of primary-DIP-groups cases decreased (tertiary hospitals: β3 = -0.290, P < 0.001; secondary hospitals: β3 = -1.200, P < 0.001), aligning with the anticipated policy objectives. However, the proportion of patients receiving complicated procedures (β3 = 0.186, P = 0.002) and the case mix index (β3 = 0.002, P < 0.001) in primary healthcare facilities increased after the reform, while the proportion of primary-DIP-groups cases (β3 = -0.515, P = 0.005) and primary-DIP-groups coverage (β3 = -2.011, P < 0.001) decreased, which will reduce the utilization efficiency of medical resources and increase inequity.

CONCLUSION

The DIP reform did not effectively promote the construction of the ordered health delivery system. Policymakers need to adjust economic incentives and implement restraint mechanisms to regulate the behavior of medical institutions.

Differences in inpatient performance of public general hospitals following implementation of a points-counting payment based on diagnosis-related group: a robust multiple interrupted time series study in Wenzhou, China

OBJECTIVES

This study measures the differences in inpatient performance after a points-counting payment policy based on diagnosis-related group (DRG) was implemented. The point value is dynamic; its change depends on the annual DRGs' cost settlements and points of the current year, which are calculated at the beginning of the following year.

DESIGN

A longitudinal study using a robust multiple interrupted time series model to evaluate service performance following policy implementation.

SETTING

Twenty-two public general hospitals (8 tertiary institutions and 14 secondary institutions) in Wenzhou, China.

INTERVENTION

The intervention was implemented in January 2020.

OUTCOME MEASURES

The indicators were case mix index (CMI), cost per hospitalisation (CPH), average length of stay (ALOS), cost efficiency index (CEI) and time efficiency index (TEI). The study employed the means of these indicators.

RESULTS

The impact of COVID-19, which reached Zhejiang Province at the end of January 2020, was temporary given rapid containment following strict control measures. After the intervention, except for the ALOS mean, the change-points for the other outcomes (p<0.05) in tertiary and secondary institutions were inconsistent. The CMI mean turned to uptrend in tertiary (p<0.01) and secondary (p<0.0001) institutions compared with before. Although the slope of the CPH mean did not change (p>0.05), the uptrend of the CEI mean in tertiary institutions alleviated (p<0.05) and further increased (p<0.05) in secondary institutions. The slopes of the ALOS and TEI mean in secondary institutions changed (p<0.05), but not in tertiary institutions (p>0.05).

CONCLUSIONS

This study showed a positive effect of the DRG policy in Wenzhou, even during COVID-19. The policy can motivate public general hospitals to improve their comprehensive capacity and mitigate discrepancies in treatment expenses efficiency for similar diseases. Policymakers are interested in whether the reform successfully motivates hospitals to strengthen their internal impetus and improve their performance, and this is supported by this study.

Rapid growth of private hospitals in China: emerging challenges and opportunities to health sector management

China's private hospital market has experienced rapid growth over the last decade, with private hospitals now outnumbering public hospitals by a factor of two. This policy analysis uses available data and existing literature to analyze China's rapidly changing hospital market, identify key challenges resulting from rapid private hospital growth, and present recommendations to ensure future sustainable private hospital development in the country. Our analysis shows that while private hospitals outnumber public hospitals, outpatient visits and hospitalizations remain higher among public hospitals, while per-patient expenditure remains higher among private hospitals. Key challenges to private hospital development include limited government financial support, high tax burdens, difficulty in workforce recruitment and retainment, poor government regulation and oversight, and dissipating public trust. Recommendations to address these challenges include opening government contract bidding to private hospitals, creating a system that allows private hospitals to enter national health insurance schemes, reducing tax pressure on private hospitals, defining a legal system for market entry and exit of private hospitals, improving a system of supervision, and monitoring and evaluation of private hospital operation and performance.

Construction and Scale Development of Willingness to Utilize Primary Care Services: A Study from China

Purpose

The willingness to utilize primary care services is crucial in explaining residents' healthcare-seeking behavior and decision-making in the context of the free choice of healthcare providers. This study examines China's family doctor contracting services system to elucidate the conceptual structure of the willingness to utilize primary care services and develop a reliable measurement tool.

Methods

The study was conducted in two phases. Firstly, in-depth interviews were conducted with community residents, resulting in 42 qualitative data sets. Subsequently, a measurement scale for the willingness to utilize family doctor contracting services was developed, and the scale was validated through two surveys using exploratory factor analysis (N = 250) and confirmatory factor analysis (N = 278), respectively.

Results

By employing a grounded theory approach, this study analyzes the connotation of willingness to utilize family doctor contracting services. It constructs a conceptual framework for the willingness to utilize primary care services. This conceptual framework consists of three dimensions: perceived feasibility, perceived desirability, and perceived initiative. Based on this framework, a measurement scale comprising 14 items was developed and subjected to rigorous validation procedures to ensure its reliability and validity.

Conclusion

This study extends prior research on healthcare service utilization willingness by elucidating the internal willingness structure for primary healthcare services. It enhances our understanding of the connotation of healthcare service utilization willingness and develops a scientifically rigorous measurement tool. The findings of this study provide valuable insights into improving both the willingness and behavior of utilizing primary care services in healthcare systems where the hierarchical referral system still needs to be fully developed.

Optimization referral rate design for hierarchical diagnosis and treatment system based on accessibility-utilization efficiency bi-objective collaboration: A case study of China

The hierarchical diagnosis and treatment reform of China can guide residents to seek medical treatment in an orderly manner and improve access to medical treatment. Most existing studies on hierarchical diagnosis and treatment used accessibility as the evaluation index to determine the referral rate between hospitals. However, the blind pursuit of accessibility will cause the problem of uneven utilization efficiency of hospitals at different levels. In response to this, we constructed a bi-objective optimization model based on the perspective of residents and medical institutions. This model can give the optimal referral rate for each province considering the accessibility of residents and the utilization efficiency of hospitals, to improve the utilization efficiency and equality of access for hospitals. The results showed that the applicability of bi-objective optimization model is good, and the optimal referral rate based on the model can ensure the maximum benefit of the two optimization goals. In the optimal referral rate model, residents' medical accessibility is relatively balanced overall. In terms of obtaining high-grade medical resources, the accessibility is better in the eastern and central regions, but poorer in the western China. According to the current allocation of medical resources in China, the medical tasks undertaken by high-grade hospitals account for 60%-78%, which are still the main force of medical services. In this way, there is a big gap in realizing the "serious diseases do not leave the county" goal of hierarchical diagnosis and treatment reform.

Rural Maternal Health Care Outcomes, Drivers, and Patient Perspectives

Rural communities are a vital segment of the US population; however, these communities are shrinking, and their population is aging. Rural women experience health disparities including increased risk of maternal morbidity and mortality. In this article, we will explore these trends and their determinants both within and external to the health care system. Health care providers, public health professionals, and policymakers should be aware of these social and structural factors that influence health outcomes and take action to reduce generational cycles of health disparity. Opportunities to improve the health and pregnancy outcomes for rural women and rural populations are highlighted.