COVID-19 as an opportunity to reveal the impact of large hospital expansion on the healthcare delivery system: evidence from Shanghai, China

Comparison of the market share of public and private hospitals under different Medical Alliances: an interrupted time-series analysis in rural China

BACKGROUND

China initiated the Medical Alliances (MAs) reform to enhance resource allocation efficiency and ensure equitable healthcare. In response to challenges posed by the predominance of public hospitals, the reform explores public-private partnerships within the MAs. Notably, private hospitals can now participate as either leading or member institutions. This study aims to evaluate the dynamic shifts in market share between public and private hospitals across diverse MAs models.

METHODS

Data spanning April 2017 to March 2019 for Dangyang County's MA and January 2018 to December 2019 for Qianjiang County's MA were analyzed. Interrupted periods occurred in April 2018 and January 2019. Using independent sample t-tests, chi-square tests, and interrupted time series analysis (ITSA), we compared the proportion of hospital revenue, the proportion of visits for treatment, and the average hospitalization days of discharged patients between leading public hospitals and leading private hospitals, as well as between member public hospitals and member private hospitals before and after the reform.

RESULTS

After the MAs reform, the revenue proportion decreased for leading public and private hospitals, while member hospitals saw an increase. However, ITSA revealed a notable rise trend in revenue proportion for leading private hospitals (p < 0.001), with a slope of 0.279% per month. Member public and private hospitals experienced decreasing revenue proportions, with outpatient visits proportions declining in member public hospitals by 0.089% per month (p < 0.05) and inpatient admissions proportions dropping in member private hospitals by 0.752% per month (p < 0.001). The average length of stay in member private hospitals increased by 0.321 days per month after the reform (p < 0.01).

CONCLUSIONS

This study underscores the imperative to reinforce oversight and constraints on leading hospitals, especially private leading hospitals, to curb the trend of diverting patients from member hospitals. At the same time, for private hospitals that are at a disadvantage in competition and may lead to unreasonable prolongation of hospital stay, this kind of behavior can be avoided by strengthening supervision or granting leadership.

Assessing the impact of COVID-19 on outpatient and inpatient revenues: A comparative analysis of large and small hospitals in Taiwan

BACKGROUND

The COVID-19 pandemic has had profound effects on healthcare systems worldwide, not only by straining medical resources but also by significantly impacting hospital revenues. These economic repercussions have varied across different hospital departments and facility sizes. This study posits that outpatient (OPD) revenues experienced greater reductions than inpatient (IPD) revenues and that the financial impact was more profound in larger hospitals than in smaller hospitals.

METHODS

We collected data on patient case numbers and associated revenues for 468 hospitals from the Taiwan government-run National Health Insurance Administration website. We then employed Microsoft Excel to construct scatter plots using the trigonometric function (=DEGREES (Atan (growth rate))) for each hospital. Our analysis scrutinized 4 areas: the case numbers and the revenues (represented by medical fees) submitted to the Taiwan government-run National Health Insurance Administration in both March and April of 2019 and 2020 for OPD and IPD departments. The validity of our hypotheses was established through correlation coefficients (CCs) and chi-square tests. Moreover, to visualize and substantiate the hypothesis under study, we utilized the Kano diagram. A higher CC indicates consistent counts and revenues between 2019 and 2020.

RESULTS

Our findings indicated a higher impact on OPDs, with CCs of 0.79 and 0.83, than on IPDs, which had CCs of 0.40 and 0.18. Across all hospital types, there was a consistent impact on OPDs (P = .14 and 0.46). However, a significant variance was observed in the impact on IPDs (P < .001), demonstrating that larger hospitals faced greater revenue losses than smaller facilities, especially in their inpatient departments.

CONCLUSION

The two hypotheses confirmed that the COVID-19 pandemic impacted outpatient departments more than inpatient departments. Larger hospitals in Taiwan faced greater financial challenges, especially in inpatient sectors, underscoring the pandemic's varied economic effects. The COVID-19 pandemic disproportionately affected outpatient departments and larger hospitals in Taiwan. Policymakers must prioritize support for these areas to ensure healthcare resilience in future epidemics. The research approach used in this study can be utilized as a model for similar research in other countries affected by COVID-19.

Impact of the COVID-19 pandemic on acute stroke care: An analysis of the 24-month data from a comprehensive stroke center in Shanghai, China

INTRODUCTION

Whether the coronavirus disease-2019 (COVID-19) pandemic is associated with a long-term negative impact on acute stroke care remains uncertain. This study aims to compare the timing of key aspects of stroke codes between patients before and after the COVID-19 pandemic.

METHODS

This retrospective cohort study was conducted at an academic hospital in Shanghai, China and included all adult patients with acute ischemic stroke hospitalized via the emergency department (ED) stroke pathway during the 24 months since the COVID-19 outbreak (COVID-19: January 1, 2020-December 31, 2021). The comparison cohort included patients with ED stroke pathway visits and hospitalizations during the same period (pre-COVID-19: January 1, 2018-December 31, 2019). We compared critical time points of prehospital and intrahospital acute stroke care between patients during the COVID-19 era and patients during the pre-COVID-19 era using t test, χ² , and Mann-Whitney U test where appropriate.

RESULTS

A total of 1194 acute ischemic stroke cases were enrolled, including 606 patients in COVID-19 and 588 patients in pre-COVID-19. During the COVID-19 pandemic, the median onset-to-hospital time was about 108 min longer compared with the same period of pre-COVID-19 (300 vs 192 min, p = 0.01). Accordingly, the median onset-to-needle time was 169 min in COVID-19 and 113 min in pre-COVID-19 (p = 0.0001), and the proportion of patients with onset-to-hospital time within 4.5 h was lower (292/606 [48.2%] vs 328/558 [58.8%], p = 0.0003) during the pandemic period. Furthermore, the median door-to-inpatient admission and door-to-inpatient rehabilitation times increased from 28 to 37 h and from 3 to 4 days (p = 0.014 and 0.0001).

CONCLUSIONS

During the 24 months of COVID-19, a prolongation of stroke onset to hospital arrival and to intravenous rt-PA administration times were noted. Meanwhile, acute stroke patients needed to stay in the ED for a longer time before hospitalization. Educational system support and process optimization should be pursued in order to acquire timely delivery of stroke care during the pandemic.

Hospital sewage treatment facilities witness the fighting against the COVID-19 pandemic

Real-time evaluation of the fighting activities during a sudden unknown disaster like the COVID-19 pandemic is a critical challenge for control. This study demonstrates that the temporal variations of effluents from hospital sewage treatment facilities can be used as an effective indicator for such evaluation. Taking a typical infection-suffering city in China as an example, we found that there was an obvious decrease in effluent ammonia and COD concentrations in line with the start of city lockdown, and its temporal variations well indicated the major events happened during the pandemic control. Notably, the lagging period between the change point of effluent residual chlorine and the change points of COD and ammonia concentration coincided with a period in which there was a deficiency in local medical resources. In addition, the diurnal behavior of effluents from designated hospitals has varied significantly at different stages of the pandemic development. The effluent ammonia peaks shifted from daytime to nighttime after the outbreak of the COVID-19 pandemic, suggesting a high workload of the designated hospitals in fighting the rapidly emerging pandemic. This work well demonstrates the necessary for data integration at the wastewater-medical service nexus and highlights an unusual role of the effluents from hospital sewage treatment facilities in revealing the status of fighting the pandemic, which helps to control the pandemic.

The COVID-19 Run on Medical Resources in Wuhan China: Causes, Consequences and Lessons

The COVID-19 run on medical resources crashed Wuhan’s medical care system, a medical disaster duplicated in many countries facing the COVID-19 pandemic. In a novel approach to understanding the run on Wuhan’s medical resources, we draw from bank run theory to analyze the causes and consequences of the COVID-19 run on Wuhan’s medical resources and recommend policy changes and government actions to attenuate runs on medical resources in the future. Like bank runs, the cause of the COVID-19 medical resource run was rooted in China’s local medical resource context and a sudden realignment of expectations, reflecting shortages and misallocations of hospital resources (inadequate liquidity and portfolio composition); high level hospitals siphoning-off patients from lower level health providers (bank moral hazard and adverse selection problem); patients selecting high-level hospitals over lower-level health care (depositor moral hazard problem); inadequate government oversight and uncontrolled risky hospital behavior (inadequate bank regulatory control); biased medical insurance schemes (inadequate depositor insurance); and failure to provide medical resource reserves (failure as lender of last resort). From Wuhan’s COVID-19 run on medical resources, we recommend that control and reform by government enlarge medical resource supply, improve the capacity of primary medical care, ensure timely virus information, formulate principles for the allocation of medical resources that suit a country’s national conditions, optimize the medical insurance schemes and public health fund allocations and enhance the emergency support of medical resources.