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For purposes of conducting research or for acquiring prevalence data for operational purposes, this method certainly would be more efficient than comprehensive or randomly selected chart review.
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This part of the study also included a literature review, variable selection and operationalization following examination of five randomly selected charts.
The quality of the text extraction is validated by reviewing 20 randomly selected charts to have sensitivity and specificity of 97 and 94%, with positive and negative predictive values at 94 and 97%, respectively.
I'll be using other selected charts from my book in this series, updating them where relevant.
Participating pediatric providers reviewed 36 randomly selected charts (6 for each WCV: newborn, 2-month, 4-month, 6-month, 9-month and 12 month) from the previous 3 months of WCVs.
Initial tests of validity included chart reviews for randomly selected charts of excluded members.
At each hospital, two nurses reviewed a total of 100 selected charts for evidence of triggers.
Trained abstractors reviewed the selected charts and collected process and intermediate measures of diabetes care.
Data validity was checked by repeated blinded abstraction on randomly selected charts.
Next, the selected charts were reviewed and abstracted by a study physician.
The compliance rate for 35 randomly selected charts was identical (compliance=77%).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com