Factors Affecting Accuracy of Data Abstracted from Medical Records.

ABSTRACT:

Objective

Medical record abstraction (MRA) is often cited as a significant source of error in research data, yet MRA methodology has rarely been the subject of investigation. Lack of a common framework has hindered application of the extant literature in practice, and, until now, there were no evidence-based guidelines for ensuring data quality in MRA. We aimed to identify the factors affecting the accuracy of data abstracted from medical records and to generate a framework for data quality assurance and control in MRA.

Methods

Candidate factors were identified from published reports of MRA. Content validity of the top candidate factors was assessed via a four-round two-group Delphi process with expert abstractors with experience in clinical research, registries, and quality

SUBMITTER: Zozus MN 

PROVIDER: S-EPMC4615628 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature