Меню
Набор по приглашению NCT06798987

Based on the Data from the Zhejiang Emergency Center, Explore the Independent and Interactive Effects of the Association Between Meteorological Factors and Air Pollution and the Number of Emergency Personnel, Identify the Relevant Vulnerable Population Characteristics, Sensitive Disease Types

— Наблюдательное Fig. Impetuous

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Meteorological conditions and air pollution.
Кому может быть актуально
Состояния в реестре: Fig. Impetuous. Базовые параметры: Без ограничений · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Китай
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

Не всё понятно в терминах? Прочитайте наш гид для пациентов →

Официальное название

Characterization of the Spatial Distribution and Drivers of the Association of Meteorological Factors and Air Pollution with the Number of First Aiders

Обзор

Based on the health data from Zhejiang Emergency Command Center, combined with meteorological, air pollution, land use and socio-economic data of Zhejiang Province, distributional lag nonlinear models, grouped weighted quantile and regression and Bayesian spatial models were used to explore the independent and interactive effects of the association between meteorological factors and air pollution and the number of first-aiders, to identify the related characteristics of the vulnerable populations, the types of sensitive diseases and the high-risk areas, and to elucidate the driving factors of the association between meteorological factors and air pollution and the number of first-aiders. It also clarifies the drivers of the association between meteorological factors and air pollution and the number of emergencies, so as to provide a reference for the government to take targeted measures to reduce the burden of related healthcare services.

Вмешательства

  • Другое Meteorological conditions and air pollution
    Climate change e.g. global surface temperature rise; extreme weather events e.g. heat waves, floods

Первичные конечные точки

  • Number of first aiders per hour as assessed by R4.4.0 [Срок оценки: 6 months]
  • Vulnerable population characteristics as assessed by R4.4.0 [Срок оценки: 6 Months]
  • Types of Sensitive Diseases as assessed by R4.4.0 [Срок оценки: 6 Month]
  • High-risk areas as assessed by R4.4.0 [Срок оценки: 6 months]

Критерии участия

Критерии включения

-Emergency data of Zhejiang Emergency Command Center in the past 5 years

Критерии исключения

  • Prehospital emergency information from non-Zhejiang province domains
  • Emergency calls due to labor and delivery.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения
Когортное

Центры проведения

Китай · 1 центр
  • Zhejiang Provincial People's Hospital — Ханчжоу

Публикации

  • Cui Y, Ai S, Liu Y, Qian ZM, Wang C, Sun J, Sun X, Zhang S, Syberg KM, Howard S, Qin L, Lin H. Hourly associations between ambient temperature and emergency ambulance calls in one central Chinese city: Call for an immediate emergency plan. Sci Total Environ. 2020 Apr 1;711:135046. doi: 10.1016/j.scitotenv.2019.135046. Epub 2019 Nov 3. PMID 31812379
  • Bobb JF, Peng RD, Bell ML, Dominici F. Heat-related mortality and adaptation to heat in the United States. Environ Health Perspect. 2014 Aug;122(8):811-6. doi: 10.1289/ehp.1307392. Epub 2014 Apr 29. PMID 24780880
  • Phosri A, Ueda K, Seposo X, Honda A, Takano H. Effect modification by temperature on the association between O3 and emergency ambulance dispatches in Japan: A multi-city study. Sci Total Environ. 2023 Feb 25;861:160725. doi: 10.1016/j.scitotenv.2022.160725. Epub 2022 Dec 6. PMID 36493818
  • Wang X, Leng M, Liu Y, Qian ZM, Zhang J, Li Z, Sun L, Qin L, Wang C, Howard SW, Vaughn MG, Yan Y, Lin H. Different sized particles associated with all-cause and cause-specific emergency ambulance calls: A multicity time-series analysis in China. Sci Total Environ. 2021 Aug 20;783:147060. doi: 10.1016/j.scitotenv.2021.147060. Epub 2021 Apr 18. PMID 34088160
  • Michikawa T, Sasaki J, Yamazaki S, Takami A, Asakura K, Imamura H, Ueda K, Saito S, Hoshi J, Yoshino A, Sugata S, Nitta H, Nishiwaki Y. A Case-Crossover Analysis of the Association between Exposure to Total PM2.5 and Its Chemical Components and Emergency Ambulance Dispatches in Tokyo. Environ Sci Technol. 2022 Jun 7;56(11):7319-7327. doi: 10.1021/acs.est.1c08219. Epub 2022 May 24. PMID 35608996
  • Dawson LP, Andrew E, Nehme Z, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Guo Y, Smith K, Stub D. Temperature-related chest pain presentations and future projections with climate change. Sci Total Environ. 2022 Nov 20;848:157716. doi: 10.1016/j.scitotenv.2022.157716. Epub 2022 Jul 29. PMID 35914598
  • Sangkharat K, Mahmood MA, Thornes JE, Fisher PA, Pope FD. Impact of extreme temperatures on ambulance dispatches in London, UK. Environ Res. 2020 Mar;182:109100. doi: 10.1016/j.envres.2019.109100. Epub 2020 Jan 3. PMID 31918315
  • Chen R, Yin P, Wang L, Liu C, Niu Y, Wang W, Jiang Y, Liu Y, Liu J, Qi J, You J, Kan H, Zhou M. Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities. BMJ. 2018 Oct 31;363:k4306. doi: 10.1136/bmj.k4306. PMID 30381293

Идентификаторы

NCT: NCT06798987 · QT202146

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗