無菌層流ユニット運転下でナースの動作により発生した空気中浮遊微粒子と浮遊細菌数との関係  [in Japanese] Correlation between Airbome Bacteria and Air Counts of Particles Dispersed by Nursing Intervention  [in Japanese]

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Author(s)

    • 浅野 美礼 ASANO Yoshihiro
    • 東京大学大学院医学系研究科健康科学看護学専攻 Department of Advanced Clinical Nursing, Graduate School of Health Sciences and Nursing, The University of Tokyo
    • 高橋 泰子 TAKAHASHI Yasuko
    • 東京大学大学院医学系研究科健康科学看護学専攻 Department of Advanced Clinical Nursing, Graduate School of Health Sciences and Nursing, The University of Tokyo

Abstract

In this study, we estimated the number of airborne microorganisms a patient might inhale while nurses dispersed particles during their care. Although the amenity in biological clean room (BCR) is of great importance for immunocompromised patients such as post bone marrow transplantation, taking care of a patient in BCR with direct contact or face-to-face is strictly limited in many facilities in Japan. Little was known about the actual risk of air contamination caused by nurses. We built a model of a patient's room with HEPA filter unit in order to conduct an experimental study of bed making, which seems to generate the most particles among all nursing care behaviors. While changing bed cloths, we samples aerosol by M Air T<SUP>TM</SUP> to find colonies of bacteria and measured the number concentration of particles ( > 0.1 μm) by a laser particle counter. There was no significant correlation between colonies and particles (<I>p</I>-value > 0.05), although the colony data followed poisson distribution. The air exchange rate of the affected part seemed to be more important than the correlation. These findings allowed nurses with care ful preparation to provide positive care to patient in BCR.

Journal

  • Earozoru Kenkyu

    Earozoru Kenkyu 17(2), 128-133, 2002-06-20

    Japan Association of Aerosol Science and Technology

References:  20

Cited by:  3

Codes

  • NII Article ID (NAID)
    10008837159
  • NII NACSIS-CAT ID (NCID)
    AN10041511
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    09122834
  • NDL Article ID
    6193588
  • NDL Call No.
    Z17-1062
  • Data Source
    CJP  CJPref  NDL  J-STAGE 
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