Literature DB >> 23070758

Weather and age-gender effects on the projection of future emergency ambulance demand in Hong Kong.

Poh-Chin Lai1, Ho-Ting Wong2.   

Abstract

An accurate projection for ambulance demand is essential to enable better resource planning for the future that strives to either maintain current levels of services or reconsider future standards and expectations. More than 2 million cases of emergency room attendance in 2008 were obtained from the Hong Kong Hospital Authority to project the demand for its ambulance services in 2036. The projection of ambulance demand in 2036 was computed in consideration of changes in the age-gender structure between 2008 and 2036. The quadratic relation between average daily temperature and daily ambulance demand in 2036 was further explored by including and excluding age-gender demographic changes. Without accounting for changes in the age-gender structure, the 2036 ambulance demand for age groups of 65 and above were consistently underestimated (by 38%-65%), whereas those of younger age groups were overestimated (by 6%-37%). Moreover, changes in the 2008 to 2036 age-gender structure also shift upward and emphasize relationships between average daily temperature and daily ambulance demand at both ends of the quadratic U-shaped curve. Our study reveals a potential societal implication of ageing population on the demand for ambulance services.
© 2012 APJPH.

Keywords:  Hong Kong; ambulance demand; forecasting; statistical regression; weather effects

Mesh:

Year:  2012        PMID: 23070758     DOI: 10.1177/1010539512460570

Source DB:  PubMed          Journal:  Asia Pac J Public Health        ISSN: 1010-5395            Impact factor:   1.399


  5 in total

1.  The influence of weather on health-related help-seeking behavior of senior citizens in Hong Kong.

Authors:  Ho Ting Wong; Marcus Yu Lung Chiu; Cynthia Sau Ting Wu; Tsz Cheung Lee
Journal:  Int J Biometeorol       Date:  2014-04-24       Impact factor: 3.787

2.  The demographic impact on the demand for emergency medical services in the urban and rural regions of Bavaria, 2012-2032.

Authors:  Alexander Veser; Florian Sieber; Stefan Groß; Stephan Prückner
Journal:  Z Gesundh Wiss       Date:  2015-05-26

Review 3.  The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness.

Authors:  Ho Ting Wong; Vico Chung Lim Chiang; Kup Sze Choi; Alice Yuen Loke
Journal:  Int J Environ Res Public Health       Date:  2016-10-17       Impact factor: 3.390

4.  A spatiotemporal data mining study to identify high-risk neighborhoods for out-of-hospital cardiac arrest (OHCA) incidents.

Authors:  Paulina Pui-Yun Wong; Chien-Tat Low; Wenhui Cai; Kelvin Tak-Yiu Leung; Poh-Chin Lai
Journal:  Sci Rep       Date:  2022-03-03       Impact factor: 4.379

5.  The need for location-specific biometeorological indexes in Taiwan.

Authors:  Ho Ting Wong; Tuan Duong Nguyen
Journal:  Front Public Health       Date:  2022-07-22
  5 in total

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