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All data were independently abstracted by two reviewers with standardized data abstraction tools.
We gathered survey data using specially designated EWI data abstraction tools.
Second, due to the inconsistencies in study design, it proved difficult to extract accurate data from all studies, even with the assistance of predefined data abstraction tools.
For the most part, we were unable to find quality assessment and data abstraction tools that fully met the requirements of our review [ 13].
To ensure reliable and unbiased extraction of data from the medical record review, research assistants will be trained in the use of data abstraction tools that have been designed for this study.
Finally, a strength of the investigation was the development a priori of standardized data abstraction tools and criteria for each disease group, with samples analyzed only for cases identified as definite or highly probable.
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However, we minimized these effects by using strict definitions and processes for handling data points as previously described and assessed reliability of our data abstraction tool.
Standardized chart review was performed by two emergency physicians (EP) using a structured data abstraction tool and final radiology attending reads of postintubation CXR to assess placement.
Standardized chart review was performed by two EPs using a structured data abstraction tool and final radiology attending reads of postintubation CXRs to assess the utility of CXRs on postintubated patients.
We also developed a unique quantitative data abstraction tool appropriate to the topic.
A data abstraction tool was developed and used to facilitate objective assessment.
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