Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 8 de 8
Filter
1.
Front Public Health ; 11: 1162804, 2023.
Article in English | MEDLINE | ID: covidwho-2327590

ABSTRACT

Objectives: This study explores the factors influencing the construction duration of public health emergency medical facilities and the ways in which they can be enhanced. Methods: Combining 30 relevant emergency medical facility construction cases in different cities in China from 2020 to 2021, seven condition variables and an outcome variable were selected, and necessary and sufficient condition analyses of duration influence factors were conducted using the fsQCA method. Results: The consistency of seven condition variables was <0.9, which shows that the construction period of public health emergency medical facilities is not independently affected by a single condition variable but by multiple influencing factors. The solution consistency value of the path configurations was 0.905, indicating that four path configurations were sufficient for the outcome variables. The solution coverage of the four path configurations was 0.637, indicating that they covered ~63.7% of the public health emergency medical facility cases. Conclusion: To reduce the construction duration, the construction of emergency medical facilities should focus on planning and design, the selection of an appropriate form of construction, the reasonable deployment of resources, and the vigorous adoption of information technology.


Subject(s)
Health Facilities , Public Health , China
2.
China Safety Science Journal ; 33(1):198-205, 2023.
Article in Chinese | Scopus | ID: covidwho-2291215
3.
China Safety Science Journal ; 33(1):198-205, 2023.
Article in Chinese | Scopus | ID: covidwho-2249497
4.
Int J Environ Res Public Health ; 20(3)2023 01 23.
Article in English | MEDLINE | ID: covidwho-2269334

ABSTRACT

Accurate evaluation of the accessibility of medical facilities is a prerequisite for the reasonable allocation of medical resources in a city. The accessibility of medical facilities depends not only on the distance to the supply and demand points, but also on the time spent in the process, and the supply capacity of the supply points. Taking Xi'an City of Shaanxi Province as an example, this paper comprehensively considers the facility supply capacity and introduces the selection probability function based on the two-step floating catchment area (2SFCA) method. In addition, in order to approximate the residents' acceptance of different types of hospitals for long-distance medical treatment in real situations, different levels of search radius were set for the different levels of hospitals, and ArcGIS was used to measure the accessibility and evaluate the spatial layout of medical facilities in the main urban area of Xi'an. The results show that there is a significant difference in the accessibility of medical facilities in the main urban area of Xi'an, and the accessibility tends to decrease gradually from the central city to the periphery. The inequity in the allocation of medical facilities in the main urban area of Xi'an is more obvious, with about 81.64% of people having access to 54.88% of medical resources. The accessibility evaluation model established by the improved 2SFCA method can obtain more accurate and objective evaluation results. This study can provide a reference basis for urban medical facilities' planning and rational spatial layout.


Subject(s)
Health Facilities , Health Services Accessibility , Humans , China , Cities , Hospitals
5.
International Journal of Air-Conditioning and Refrigeration ; 28(2), 2020.
Article in English | ProQuest Central | ID: covidwho-2138152
6.
Engineering Construction and Architectural Management ; : 27, 2022.
Article in English | Web of Science | ID: covidwho-1927484
7.
Jpn J Infect Dis ; 75(3): 281-287, 2022 May 24.
Article in English | MEDLINE | ID: covidwho-1865648

ABSTRACT

The characteristics of coronavirus disease 2019 (COVID-19) clusters in medical and social welfare facilities and the factors associated with cluster size are still not yet fully understood. We reviewed COVID-19 cases in Japan identified from January 15 to April 30, 2020 and analyzed the factors associated with cluster size in medical and social welfare facilities. In this study, COVID-19 clusters were identified in 56 medical and 34 social welfare facilities. The number of cases in those facilities peaked after the peak of the general population. The duration of occurrence of new cases in clusters was positively correlated with the number of cases in both types of facilities (rho = 0.44, P < 0.001; and rho = 0.69, P < 0.001, respectively). However, the number of days between the first case in a prefecture and the onset of clusters was negatively correlated with the number of cases only in clusters in social welfare facilities (rho = - 0.4, P = 0.004). Our results suggest that COVID-19 cases in those facilities were prevalent in the latter phase of the disease's community transmission, although the underlying mechanisms for such a trend could differ between medical and social welfare facilities.


Subject(s)
COVID-19 , COVID-19/epidemiology , Humans , Japan/epidemiology , Social Welfare
8.
J Gen Fam Med ; 22(5): 246-261, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1135109

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) has a tremendous influence in general public's behaviors; however, changes in the status of regularly scheduled outpatient visits in Japan during COVID-19 pandemic are still unknown. Methods: This cross-sectional study was conducted in May 2020. Participants were recruited by an Internet-based survey company. A total of 659 patients (54% male, average age 60 ± 14 years) who had regularly scheduled outpatient visits prior to the onset of COVID-19 were enrolled. Participants answered four questions ("decrease in medical visit frequency," "inability to take regular medication," "deterioration of a chronic disease," and "utilization of telephone/online medical care") and stated whether they had a fear of acquiring infection at a medical facility. The associations between answers, fear of infection, and socio-demographic factors were examined. Results: Among the participants, 37.8% had decreased their medical visits, 6.8% were unable to take regular medications, 5.6% experienced a deterioration of chronic disease, and 9.1% utilized telephone/online medical care. Fear of being infected by COVID-19 at medical facilities was strongly associated with a reduced frequency of medical visits and lack of regular medications even after adjusting for socio-demographic factors and current medical histories. Conclusions: During the first wave of COVID-19, approximately 40% of participants reduced their frequency of medical visits. It is important to continue implementing thorough infection control measures at facilities and educating the public the importance of keeping chronic diseases in good condition, as well as promoting telephone/online medical care.

SELECTION OF CITATIONS
SEARCH DETAIL