Network analysis of cases with methicillin-resistant Staphylococcus aureus and controls in a large tertiary care facility

被引:3
作者
Moldovan, Ioana Doina [1 ,2 ]
Suh, Kathryn [1 ,2 ,3 ]
Liu, Erin Yiran [4 ]
Jolly, Ann [1 ]
机构
[1] Univ Ottawa, Sch Epidemiol Publ Hlth & Prevent Med, Ottawa, ON, Canada
[2] Ottawa Hosp Res Inst, Ottawa, ON, Canada
[3] Univ Ottawa, Dept Med, Ottawa, ON, Canada
[4] Ottawa Hosp, Performance Measurement, Ottawa, ON, Canada
关键词
Transmission; Hospital; Social network analysis; Feasibility study; Electronic medical records; Case-control study; SOCIAL-NETWORK; INFECTION; TUBERCULOSIS; SPREAD; OUTBREAKS; DISEASE; HEALTH;
D O I
10.1016/j.ajic.2019.05.026
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Despite increased awareness of infection control precautions, methicillin-resistant Staphylococcus aureus (MRSA) still spreads through patients and contaminated objects, causing a substantial burden of illness and cost. Our objective was to define risk factors for contracting MRSA in a tertiary health care facility using a historic case-control study and to validate health care network changes during pre-outbreak and outbreak periods. Methods: We conducted a case-control study using secondary data on hospitalizations where infected or colonized cases were compared with matched controls who tested negative by age, sex, and campus over 1 year. Social networks of all cases and controls were built from links joining patients to rooms, roommates, and health care providers over time. Results: Matched controls were similar to cases in comorbidity, lengths of stay, mortality, and number of roommates, rooms, and health care providers. As expected, the number of rooms and roommates increased in the outbreak by more than 50%. A timed animation of the network at one campus identified potential source patients linked to 2 rooms and many roommates, after which cases connected to those same rooms proliferated. Conclusions: Only the network animation over time revealed possible transmission of MRSA through the network, rather than attributes measured in the traditional case control study. (C) 2019 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1420 / 1425
页数:6
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