Research on the Equity and Influencing Factors of Medical and Health Resources Allocation in the Context of COVID-19: A Case of Taiyuan, China

Wu, Xueling; Zhang, Ye; Guo, Xiaojia

doi:10.3390/healthcare10071319

Cited by 10 publications

(7 citation statements)

References 36 publications

(35 reference statements)

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“…The grey correlations showed that population structure factors has a greatest impact on the regional inequality of emergency medicine department beds, which is consistent with the findings of Wu et al [ 5 ]. Children and the elderly population, who are physically weaker due to age, tend to be at higher risk of acute illness and injury, and have a greater need for emergency care.…”

Section: Discussionsupporting

confidence: 90%

“…As a result, the distribution of resources shows more equal in terms of population, while inequality still exists among regions. Medical institutions, medical staff and beds, and other medical resources were distributed unequally by geographical with Gini coefficients exceeding 0.7 [ 5 ]. This leads to a large number of people living within the county having not enough resources for emergency care and poor access to healthcare [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

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Regional Inequality and Associated Factors of Emergency Medicine Beds Distribution in China

Xiong,

Xia,

Chen

et al. 2024

Int J Public Health

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Objective: The regional inequality of emergency medicine beds distribution has a great impact on population health as well as the accessibility of emergency services. This study aimed to explore the regional inequality of emergency medicine bed distribution and its influencing factors.Methods: The Gini coefficient and health resource agglomeration were used to analyze the regional inequality of emergency medicine beds distribution by area from 2012 to 2021 in China. Grey correlation models were used to explore the factors influencing the regional inequality of emergency medicine beds distribution.Results: From 2012 to 2021, Gini coefficients of emergency medicine beds distribution by geographic in China showed a worsening trend, rising from 0.6229 to 0.6636. The average HRAD index was 3.43 in the east and 0.44 in the west. Population structure factors have the greatest influence on the regional inequality of emergency medicine beds distribution.Conclusion: Health resources allocation strategy only according to population size should be changed. In formulating policies for emergency medicine beds allocation should take into account population structure, financial structure of expenditure, the inequality of geographical distribution and so on.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Regional Inequality and Associated Factors of Emergency Medicine Beds Distribution in China

Xiong,

Xia,

Chen

et al. 2024

Int J Public Health

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“…Furthermore, during the pandemic the causes of mortality have changed compared to the previous 5 years, creating a scenario of causality that is difficult to interpret [ 35 , 51 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 ].…”

Section: Discussionmentioning

confidence: 99%

Excess Mortality among Physicians and Dentists during COVID-19 in Italy: A Cross-Sectional Study Related to a High-Risk Territory

et al. 2022

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Background: Many studies previously reported epidemiological data on mortality due to COVID-19 among health workers. All these studies included a partial sample of the population with a substantial selection bias. The present study evaluates the trend of mortality among physicians and dentists operating in an area considered to be at high risk during the COVID-19 pandemic. Methods: Data relating to all physicians and dentists registered in the province of Pavia (Italy), a sample consisting of 5454 doctors in 2020 was analyzed. The mortality rates obtained were compared with those related to the 5-year period preceding the pandemic and with those related to the general population. Results: In the area considered, a mortality rate of 0.83% (+69% compared to 2015–2019) was observed in the entire sample in 2020 and 0.43% (−11% compared to 2015–2019) in 2021; among physicians, there was a mortality rate of 0.76% (+53% compared to 2015-2019) in 2020 and 0.35% (−29% compared to 2015–2019) in 2021; for dentists, there was a mortality rate of 1.27% (+185% compared to 2015–2019) in 2020 and 1.01% (+127% compared to 2015–2019) in 2021. Conclusions: These data report the global impact of the SARS-CoV-2 pandemic on physicians and dentists in a high-risk territory. In 2020, a significant increase in the mortality rate compared to the previous 5 years was observed for both physicians and dentists; in 2021, a significant increase in the mortality rate was observed only for dentists. These data are also significant in evaluating the impact of vaccination on physicians and dentists and indicate that dentists were among the professions most at risk during the pandemic.

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“…As a consequence, there was careful planning and management of resources in preparation for the surge of potential patients with the highest acuity. It was, therefore, possible to avoid ED crowding, even during extreme conditions, by leveraging previously known input, throughput and output factors, including a change in working methods with higher competence, less diagnostics, and increased focus on rapid clinical admission decisions [ 14 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

Door to Disposition Key Performance Indicator in Three Saudi Arabian Hospitals’ Emergency Departments during COVID-19 Pandemic

Almana¹,

Alharbi²

2022

Healthcare

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Objective: The COVID-19 pandemic impacted health systems and Emergency Departments (ED) services worldwide. This study attempts to assess the impact of COVID-19 on the performance of the emergency department during COVID-19 in three hospitals in Riyadh city, Saudi Arabia. Methods: Ada’a data was used for this retrospective cohort study. The hospitals included in this study were: a 300-bed maternity and children’s hospital; a 643-bed general hospital; and a 1230-bed tertiary hospital. All patients who visited the ED in the time period from September 2019 to December 2021 were included. The outcome variable was the Door to Disposition (DTD) which estimates the percentage of patients seen within 4 h from Door to Disposition. A two-way ANOVA test was used to examine the differences in the outcome variable by hospital and by the phase of COVID-19. Results: Both hospital and the phase of COVID-19 were significantly different in terms of the percentage of patients seen within four hours in the ED (DTD) (p-value < 0.05). On average, the DTD percentages dipped slightly in the early phase of COVID-19 (64.0% vs. 69.8%) and jumped sharply in the later phase (73.6%). Additionally, the average DTD score for the maternity and pediatric hospital (87.6%) was sharply higher than both general and tertiary hospitals (63.2%, and 56.5%, respectively). Conclusion: COVID-19 led to a significant drop in emergency department services performance in the early stage of the pandemic as patients spent more time at the ED. However, for the designated COVID-19 hospital, the ED performance improved as more patients spent less than 4 h at the ED in the early stages of COVID-19. This is a clear indication that careful planning and management of resources for ED services during a pandemic is effective.

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Research on the Equity and Influencing Factors of Medical and Health Resources Allocation in the Context of COVID-19: A Case of Taiyuan, China

Cited by 10 publications

References 36 publications

Regional Inequality and Associated Factors of Emergency Medicine Beds Distribution in China

Regional Inequality and Associated Factors of Emergency Medicine Beds Distribution in China

Excess Mortality among Physicians and Dentists during COVID-19 in Italy: A Cross-Sectional Study Related to a High-Risk Territory

Door to Disposition Key Performance Indicator in Three Saudi Arabian Hospitals’ Emergency Departments during COVID-19 Pandemic

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