Inpatient Flow Distribution Patterns at Shanghai Hospitals

Analysis of the Characteristics of Cross-Regional Patient Groups and Differences in Hospital Service Utilization in Beijing

When medical diagnostic difficulties occur at local hospitals, seeking high-quality services across regions becomes a priority for many patients. Traditional statistical methods in health care are unable to account for spatial characteristics such as outflow place or distributions of disease type and patient ages in the context of an increasing number of cross-regional groups; thus, these methods are incapable of studying service utilization differences among hospitals. From a geographic perspective, we analyzed the spatial characteristics of cross-regional patient groups who travelled from other places to Beijing and the spatial decay patterns in the actual service utilization of different hospitals in Beijing by using geographic calculations, geographic visualizations, and distance decay functions. We found the following results: (1) It is feasible to study patients’ cross-regional mobility from a geographical perspective. Through interdisciplinary integration, we can explore laws and conclusions that cannot be examined by traditional statistical methods in health care. (2) The characteristics of cross-regional patients who travelled from other places to Beijing were as follows: (a) Most patients came from northern China, and neoplasm treatment was the main demand of cross-regional patients; (b) patients 40–65 years old were the main cross-regional treatment group, and the average age of patients from northern regions and certain eastern coastal cities was relatively high. (3) The exponential distance decay function was the best of all five distance decay functions in fitting the distribution of cross-regional patient mobility to hospitals of different levels, types, and functional areas. The results of applying this function and the centrality calculation method showed that hospital service utilization was least affected by distance and that average radial distances (AR) were greatest in tertiary hospitals (distance decay coefficient β = 0.0786, AR = 664.70 km), traditional Chinese medicine hospitals (β = 0.0752, AR = 743.52 km), and hospitals in urban extension areas (β = 0.0782, AR = 693.29 km). Our results can serve as a reference for research concerning the allocation of medical resources and patients’ choices regarding medical treatment.

The ecology of medical care in Shanghai

Background

To better understand the distribution and consumption patterns of resources in different ethnic groups and at different levels of economic development, this paper chose to describe the healthcare seeking behavior in Shanghai.

Methods

The data are from the Sixth Health Service Survey of Shanghai, which encompasses 23,198 permanent residents. Descriptive analyses were conducted to estimate the number of patients who reported health-related symptoms and healthcare-seeking behaviors per 1,000 residents. Logistic regression analyses were conducted to examine differences in reporting health-related symptoms and healthcare-seeking behaviors by age, gender and area of residence.

Results

This paper have mapped the ecology of healthcare in Shanghai in 2018. Of 1000 individuals considered during a 1-month period, 444 reported sickness, 433 received treatment, 288 went to medical institutions, 195 went to primary medical institutions, 86 took a self-healing approach, 26 received TCM services, 7 were hospitalized, and 3 underwent surgery.

Conclusions

Age is a risk factor leading to disease, medical treatment, self-medication, medical institution visits, TCM service, hospitalization and surgery. But age is a protective factor in the use of primary health care services. By gender, the number of people receiving medical services was similar, but women were statistically more likely to have surgery. As the income level increased, the number of patients and people receiving medical services showed a decreasing trend. Compared with the local population, the probability of non-local people visiting medical institutions was lower and statistically significant. Compared with the people who had health insurance, fewer uninsured people reported sickness and utilized healthcare services.

Accessibility to delivery care in Hubei Province, China

Accessibility to delivery care is crucial for improving maternal health, which is an important policy goal to ensure healthy lives and promote well-being in China and worldwide, especially with the change of the family planning policy in China in 2016. This study develops a set of methods to project the population of women of child-bearing age and birth population and assess the accessibility to delivery care services in Hubei Province. The Cohort-Component projection method with various scenarios was applied to project the population of women of children-bearing age in 2030. A Gravity-based Variable Two-Step Floating Catchment Area (GV2SFCA) method is developed, which takes into account the heterogeneous catchment areas and distance decay effects for different regions and various levels of delivery care services. The parameters are calibrated by using medical records with patients' addresses. The traditional Supply-Demand Ratio method is also applied. The results demonstrate an overall decreasing trend of birth population in Hubei in all scenarios, but with significant disparities across regions. In 2016, 28% of districts fail to reach the policy goal with 17 beds per thousand births. In 2030, accessibility to delivery care is projected to increase in 98% of districts, while there are still 22% of districts that fail to reach the policy goal. The accessibility scores are further combined with the densities of birth population to identify shortage areas of delivery care. 7% and 6% of districts are classified as Major Shortage Areas in 2016 and 2030, respectively. The findings shed lights on the distributions and future changes of accessibility to and shortage areas of delivery care in Hubei, which can provide evidence-based recommendations for planning and policymaking. It also provides innovative methods for more accurately assessing accessibility to delivery care.