上海市普陀区医疗机构候诊区域空气质量检测结果分析
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摘要
目的医院室内空气质量直接影响院内每个人的身体健康。本研究旨在调查上海市普陀区医疗机构候诊区域空气质量状况,为医院传染病的预防和控制提供参考依据。方法在2018年对上海市普陀区19家医疗机构候诊区域的空气质量进行检测。比较不同候诊区域、不同通风方式及不同时段空气质量的差异,以(均值±标准差)描述检测指标的水平,运用单因素方差分析检验是否有统计学差异。结果医院候诊区CO浓度最高(0.600±0.096)、候诊大厅次之(0.539±0.108)、输液室最低(0.516±0.100);自然通风的PM10浓度(0.044±0.021 vs. 0.037±0.014,P=0.019)和PM2.5浓度(0.028±0.008 vs. 0.024±0.008,P=0.010)显著高于机械通风;上午CO2浓度(0.079±0.015 vs. 0.073±0.010,P=0.019)和空气细菌总数(8.421±7.058 vs. 5.684±3.561,P=0.010)均显著高于下午。结论建议加强医院候诊区及上午就诊时间段的空气质量管理,优化通风系统。
Objective Hospital indoor air quality directly affects everyone's health in the hospital. This study aimed to investigate the air quality in waiting areas of medical institutions in Putuo District, in order to provide reference basis for the prevention and control of hospital infection. Methods The air quality of 19 waiting areas of medical institutions in Putuo District was tested on June 15, 2018. The differences of air quality in different waiting areas, different ventilation modes and different periods were compared.(Mean ± SD)was used to describe the level of test indicators, and one-way ANOVA to test whether there were statistical differences between different groups. Results CO in waiting area was the highest(0.600±0.096), followed by waiting hall(0.539±0.108). Infusion room was the lowest(0.516±0.100). PM10(0.044±0.021 vs.0.037±0.014, P=0.019) and PM2.5(0.028±0.008 vs. 0.024±0.008, P=0.010) in natural ventilation were significantly higher compared with mechanical ventilation. CO2(0.079±0.015 vs. 0.073±0.010, P = 0.019) and total bacterial count(8.421±7.058 vs. 5.684±3.561, P=0.010) in the morning was significantly higher than those in the afternoon. Conclusions It was suggested to strengthen air quality management in hospital waiting area and morning visiting period, as well as to optimize ventilation system.
Objective Hospital indoor air quality directly affects everyone's health in the hospital. This study aimed to investigate the air quality in waiting areas of medical institutions in Putuo District, in order to provide reference basis for the prevention and control of hospital infection. Methods The air quality of 19 waiting areas of medical institutions in Putuo District was tested on June 15, 2018. The differences of air quality in different waiting areas, different ventilation modes and different periods were compared.(Mean ± SD)was used to describe the level of test indicators, and one-way ANOVA to test whether there were statistical differences between different groups. Results CO in waiting area was the highest(0.600±0.096), followed by waiting hall(0.539±0.108). Infusion room was the lowest(0.516±0.100). PM10(0.044±0.021 vs.0.037±0.014, P=0.019) and PM2.5(0.028±0.008 vs. 0.024±0.008, P=0.010) in natural ventilation were significantly higher compared with mechanical ventilation. CO2(0.079±0.015 vs. 0.073±0.010, P = 0.019) and total bacterial count(8.421±7.058 vs. 5.684±3.561, P=0.010) in the morning was significantly higher than those in the afternoon. Conclusions It was suggested to strengthen air quality management in hospital waiting area and morning visiting period, as well as to optimize ventilation system.
引文
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[2]Cournane S,Conway R,Byrne D,et al.Air Quality and Hospital Outcomes in Emergency Medical Admissions with Respiratory Disease[J].Toxics,2016,4(3):15-26.
[3]Cabo Verde S,Almeida S M,Matos J,et al.Microbiological assessment of indoor air quality at different hospital sites[J].Research in microbiology,015,166(7):557-63.
[4]Cacia D,Elinana,Cezar L,et al.Evaluation of the quality of air in a surgical center of a hospital in the south of Brazil[J].Revista de salud publica(Bogota,Colombia),2016,18(3):447-58.
[5]Lu C Y,Tsai M C,Muo C H,et al.Personal,Psychosocial and Environmental Factors Related to Sick Building Syndrome in Official Employees of Taiwan[J].International journal of environmental research and public health,2017,15(1):7-15.
[6]Rajakaruna S J,Liu W B,Ding Y B,et al.Strategy and technology to prevent hospital-acquired infections:Lessons from SARS,Ebola,and MERS in Asia and West Africa[J].Military Medical Research,2017,4(1):32-37.
[7]贾文娟.甘肃省高校体育场馆室内空气质量检测与评价[J].体育研究与教育,2016,5:42-5.
[8]Ahlgrim C,Birkner P,Seiler F,et al.Applying the Optimized CORebreathing Method for Measuring Blood Volumes and Hemoglobin Mass in Heart Failure Patients[J].Frontiers in physiology,2018,9:1603-1608.
[9]Canova C,Minelli C,Dunster C,et al.PM10oxidative properties and asthma and COPD[J].Epidemiology(Cambridge,Mass),2014,25(3):467-8.
[10]Li Y,Chen L,Ngoc D M,et al.Polybrominated diphenyl ethers(PB-DEs)in PM2.5,PM10,TSP and gas phase in office environment in Shanghai,China:occurrence and human exposure[J].PloS one,2015,10(3)e0119144.
[11]Long Y,Wang J,Wu K,et al.Population Exposure to Ambient PM2.5at the Subdistrict Level in China[J].International journal of environmental research and public health,2018,15(12):6283-6296.
[12]Richardson M,Moulton K,Rabb D,et al.Capnography for Monitoring End-Tidal CO2in Hospital and Pre-hospital Settings:AHealth Technology Assessment[M],Canadian Agency for Drugs and Technologies in Health.2016.1-142.
[13]邱耀雄,徐景亮,张玉宇等.医院门诊室内空气质量评价[J].城市环境与城市生态,2014,(3):1-4.
[14]Nalewajek T,Klosek M,Ziora D,et al.The role of alert pathogens in bacterial diseases in patients hospitalized at the Department of Pulmonary Diseases and Tuberculosis Public Clinical Hospital No3 in Zabrze in 2008-2012[J].Przeglad epidemiologiczny,2018,72(3):325-36.