Ho Ting Wong1, Teng-Kang Lin2, Jen-Jia Lin3. 1. Department of Geography, National Taiwan University, Taiwan; School of Public Health, The University of Hong Kong, Hong Kong. Electronic address: frankwong@connect.hku.hk. 2. Fire Department, New Taipei City Government, Taiwan. Electronic address: fc681102@gmail.com. 3. Department of Geography, National Taiwan University, Taiwan. Electronic address: jenjia@ntu.edu.tw.
Abstract
OBJECTIVE: This study aims to assess rural-urban differences in the predictors of emergency ambulance service (EAS) demand and misuse in New Taipei City. Identifying the predictors of EAS demand will help the EAS service managing authority in formulating focused policies to maintain service quality. METHODS: Over 160,000 electronic EAS usage records were used with a negative binomial regression model to assess rural-urban differences in the predictors of EAS demand and misuse. RESULTS: The factors of 1) ln-transformed population density, 2) percentage of residents who completed up to junior high school education, 3) accessibility of hospitals without an emergency room, and 4) accessibility of EAS were found to be predictors of EAS demand in rural areas, whereas only the factor of percentage of people aged above 65 was found to predict EAS demand in urban areas. For EAS misuse, only the factor of percentage of low-income households was found to be a predictor in rural areas, whereas no predictor was found in the urban areas. CONCLUSION: Results showed that the factors predicting EAS demand and misuse in rural areas were more complicated compared to urban areas and, therefore, formulating EAS policies for rural areas based on the results of urban studies may not be appropriate.
OBJECTIVE: This study aims to assess rural-urban differences in the predictors of emergency ambulance service (EAS) demand and misuse in New Taipei City. Identifying the predictors of EAS demand will help the EAS service managing authority in formulating focused policies to maintain service quality. METHODS: Over 160,000 electronic EAS usage records were used with a negative binomial regression model to assess rural-urban differences in the predictors of EAS demand and misuse. RESULTS: The factors of 1) ln-transformed population density, 2) percentage of residents who completed up to junior high school education, 3) accessibility of hospitals without an emergency room, and 4) accessibility of EAS were found to be predictors of EAS demand in rural areas, whereas only the factor of percentage of people aged above 65 was found to predict EAS demand in urban areas. For EAS misuse, only the factor of percentage of low-income households was found to be a predictor in rural areas, whereas no predictor was found in the urban areas. CONCLUSION: Results showed that the factors predicting EAS demand and misuse in rural areas were more complicated compared to urban areas and, therefore, formulating EAS policies for rural areas based on the results of urban studies may not be appropriate.
Authors: Hassan Al-Thani; Ahammed Mekkodathil; Attila J Hertelendy; Ian Howland; Tim Frazier; Ayman El-Menyar Journal: Int J Environ Res Public Health Date: 2021-04-12 Impact factor: 3.390