Emergency Medical Services in China

Thomas, Tami L.; Clem, Kathleen J.

doi:10.1111/j.1553-2712.1999.tb01054.x

Cited by 10 publications

(2 citation statements)

References 9 publications

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“… 28 , 29 Because the rural emergency medical service (EMS) system is inefficient and because rural residents have less knowledge about stroke and lower incomes, this phenomenon is rather common in rural areas. 30 , 31 It is necessary to improve the ambulance service system and community education in rural areas, so that residents will call an ambulance immediately when a stroke occurs.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Late Hospital Arrival in Patients with Mild and Rapidly Improving Acute Ischemic Stroke in a Rural Area of China

Song¹,

Shen²,

Dong³

et al. 2023

RMHP

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Purpose Among all ischemic stroke patients, more than half are mild and rapidly improving acute ischemic stroke (MaRAIS) patients. However, many MaRAIS patients do not recognize the disease early on, and thus they delay access to the treatment that would be most effective if provided earlier. This is especially true in rural areas. The aim of this study was to develop and validate a late hospital arrival risk nomogram in a rural Chinese population of patients with MaRAIS. Methods We developed a prediction model based on a training dataset of 173 MaRAIS patients collected from September 9, 2019 to May 13, 2020. Data analyzed included demographics and disease characteristics. A least absolute shrinkage and selection operator (LASSO) regression model was used to optimize feature selection for the late hospital arrival risk model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the features selected in the LASSO regression models. The discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis, respectively. Internal validation was then assessed using bootstrapping validation. Results Variables contained in the prediction nomogram included transportation mode, history of diabetes, knowledge of stroke symptoms, and thrombolytic therapy. The model had moderate predictive power with a C-index of 0.709 (95% confidence interval: 0.636–0.783) and good calibration. In the internal validation, the C-index reached 0.692. The risk threshold was 30–97% according to the analysis of the decision curve, and the nomogram could be applied in clinical practice. Conclusion This novel nomogram, which incorporates transportation mode, history of diabetes, knowledge of stroke symptoms, and thrombolytic therapy, was conveniently applied to facilitate individual late hospital arrival risk prediction among MaRAIS patients in a rural area of Shanghai, China.

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Section: Discussionmentioning

confidence: 99%

Prediction of Late Hospital Arrival in Patients with Mild and Rapidly Improving Acute Ischemic Stroke in a Rural Area of China

Song¹,

Shen²,

Dong³

et al. 2023

RMHP

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“…1 Several articles have described the state of development of EM in China. [2][3][4][5][6] Like Hong Kong, mainland China is considered to have a "developing" emergency care system. 1 The Chinese Journal of Emergency Medicine was first published in 1980.…”

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confidence: 99%

Efforts to Help Develop Emergency Medicine in Rural Sichuan: A Brief Report

Chan¹

2002

Hong Kong Journal of Emergency Medicine

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Emergency Medicine (EM) as a specialty discipline in China is gradually progressing to a mature status. However, emergency medical care development in large cities and in rural areas may have wide disparity. Rural hospitals need the same kind of support and development as hospitals in major cities. Assistance has come from many EM providers and faculties from western systems. The needs of a rural hospital in Sichuan, and the efforts of help provided from Hong Kong, is described. (Hong Kong j. emerg.med. 2002;9:110-112)

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