The Impact of Indoor Air Quality on Emergency Room Staff--A Regional Hospital Case Study

碩士 === 南華大學 === 自然生物科技學系自然療癒碩士班 === 103 ===   Background:In average, people stay in closed space such as houses, transportations and indoor public places around 80-90 percent every day. In 1984, World Health Organization reported that over 30 percent of new or refurnished buildings have issues regar...

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Bibliographic Details
Main Authors: Ya-Ling Li, 李雅玲
Other Authors: Jun-Hong Lin
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/389pf8
Description
Summary:碩士 === 南華大學 === 自然生物科技學系自然療癒碩士班 === 103 ===   Background:In average, people stay in closed space such as houses, transportations and indoor public places around 80-90 percent every day. In 1984, World Health Organization reported that over 30 percent of new or refurnished buildings have issues regarding indoor air quality. Problems of air quality not only exist in office buildings, but also schools, hospitals and long-term care facilities. Numbers of emergency department staffs, patients, care takers and accompanied family would alter the quality of indoor air, especially carbon dioxide. The quality of indoor air will be suboptimal if carbon dioxide from exhalation accumulated in the poor ventilated spaces. The purpose of this study was aimed to evaluate the impacts of indoor air quality on health care staffs.   Methods:This study used the IAQ-CALCTM indoor quality meter 7545 (TSI, USA) to evaluate carbon dioxide, temperature, moisture at triage area, the counter, the examination area, the observation area and the boarding area. Numbers of people at the specific areas were also recorded. The data were collected based on different seasons. We randomly pick 5 days in July 2013, October 2013, January 2014 and April 2014 to collect the data at above places for 24 hours. In the same time, healthcare providers, nursing assistants and clerks filled up questionnaires. Descriptive statistics, product-moment correlation, univariate and multivariate analyses were performed.   Results:Seasons revealed statistical significance in the analyses of product-moment correlation. Indoor carbon dioxide was associated with both indoor/outdoor temperature and moisture. The concentration of carbon dioxide increased gradually after two hours of day shift, reached the peak in the afternoon and then declined. The concentration of carbon dioxide was also associated with numbers of people. The detected comfort zone of indoor temperature and moisture was compatible with results of questionnaires. Indoor air conditions were significant associated with sick building syndrome.   Conclusions:This study revealed that indoor carbon dioxide was associated with numbers of people and both indoor/outdoor temperature and moisture. The frequency of sick building syndrome was also associated with the conception of indoor conditions. Health care institutes should pay more emphasis on the indoor air quality in emergency departments.