Title

Data quality assurance and control in cognitive research: Lessons learned from the PREDICT-HD study

Publication Date

2017-9

UMMS Affiliation

Graduate School of Nursing

Document Type

Article

Disciplines

Biostatistics | Nursing | Psychiatry and Psychology | Quantitative, Qualitative, Comparative, and Historical Methodologies | Research Methods in Life Sciences

Abstract

We discuss the strategies employed in data quality control and quality assurance for the cognitive core of Neurobiological Predictors of Huntington's Disease (PREDICT-HD), a long-term observational study of over 1,000 participants with prodromal Huntington disease. In particular, we provide details regarding the training and continual evaluation of cognitive examiners, methods for error corrections, and strategies to minimize errors in the data. We present five important lessons learned to help other researchers avoid certain assumptions that could potentially lead to inaccuracies in their cognitive data.

Keywords

cognitive assessment, quality assurance, quality control

DOI of Published Version

10.1002/mpr.1534

Source

Int J Methods Psychiatr Res. 2017 Sep;26(3). doi: 10.1002/mpr.1534. Epub 2017 Feb 17. Link to article on publisher's site

Journal/Book/Conference Title

International journal of methods in psychiatric research

Related Resources

Link to Article in PubMed

PubMed ID

28211597

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