Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands.

Abstract:

AIM:Details of data quality and how quality issues were solved have not been reported in published comparative effectiveness studies using electronic health record data. METHODS:We developed a conceptual framework of data quality assessment and preprocessing and apply it to a study comparing angiotensin-converting enzyme inhibitors with angiotensin receptor blockerss on renal function decline in diabetes patients. RESULTS:The framework establishes a line of thought to identify and act on data issues. The core concept is to evaluate whether data are fit-for-use for research tasks. Possible quality problems are listed through specific signal detections, and verified whether they are true problems. Optimal solutions are selected for the identified problems. CONCLUSION:This framework can be used in observational studies to improve validity of results.

journal_name

J Comp Eff Res

authors

Huang Y,Voorham J,Haaijer-Ruskamp FM

doi

10.2217/cer-2015-0022

subject

Has Abstract

pub_date

2016-07-01 00:00:00

pages

345-54

issue

4

eissn

2042-6305

issn

2042-6313

journal_volume

5

pub_type

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