Timing of surgical antibiotic prophylaxis administration: Complexities of analysis

被引:7
|
作者
Cartmill, Carrie [1 ]
Lingard, Lorelei [1 ,2 ]
Regehr, Glenn [3 ,4 ]
Espin, Sherry [5 ]
Bohnen, John [4 ,6 ]
Baker, Ross
Rotstein, Lorne [4 ,7 ]
机构
[1] Hosp Sick Children, Learning Inst, Toronto, ON M5G 1X8, Canada
[2] Univ Toronto, Dept Pediat, Toronto, ON, Canada
[3] Univ Hlth Network, Wilson Ctr Res Educ, Toronto, ON, Canada
[4] Univ Toronto, Fac Med, Toronto, ON, Canada
[5] Ryerson Univ, Daphne Cockwell Sch Nursing, Toronto, ON, Canada
[6] St Michaels Hosp, Dept Surg, Toronto, ON M5B 1W8, Canada
[7] Univ Hlth Network, Div Gen Surg, Toronto, ON, Canada
来源
基金
加拿大健康研究院;
关键词
ANTIMICROBIAL PROPHYLAXIS; QUALITY IMPROVEMENT; SITE INFECTIONS; RISK-FACTORS; SURGERY; GUIDELINES; TIMELINESS; PREVENTION; OPERATIONS; HOSPITALS;
D O I
10.1186/1471-2288-9-43
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: The timing of prophylactic antibiotic administration is a patient safety outcome that is recurrently tracked and reported. The interpretation of these data has important implications for patient safety practices. However, diverse data collection methods and approaches to analysis impede knowledge building in this field. This paper makes explicit several challenges to quantifying the timing of prophylactic antibiotics that we encountered during a recent study and offers a suggested protocol for resolving these challenges. Challenges: Two clear challenges manifested during the data extraction process: the actual classification of antibiotic timing, and the additional complication of multiple antibiotic regimens with different timing classifications in a single case. A formalized protocol was developed for dealing with incomplete, ambiguous and unclear documentation. A hierarchical coding system was implemented for managing cases with multiple antibiotic regimens. Interpretation: Researchers who are tracking prophylactic antibiotic timing as an outcome measure should be aware that documentation of antibiotic timing in the patient chart is frequently incomplete and unclear, and these inconsistencies should be accounted for in analyses. We have developed a systematic method for dealing with specific problematic patterns encountered in the data. We propose that the general adoption of a systematic approach to analysis of this type of data will allow for cross-study comparisons and ensure that interpretation of results is on the basis of timing practices rather than documentation practices.
引用
收藏
页数:5
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