Data abstraction: designing the tools, recruiting and training the data abstractors.

Barbara Simmons; Frank Bennett; Audrey Nelson; Stephen L Luther

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PubMed · 12510501

Data abstraction: designing the tools, recruiting and training the data abstractors.

Barbara Simmons·Frank Bennett·Audrey Nelson·Stephen L Luther

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Abstract

Data abstraction is very exacting work requiring that data abstractors have both knowledge and experience of phenomena being studied. Quality of the data and efficiency of the data abstractors are dependent upon the content and design of the data abstraction tools. Taking the time to recruit and train qualified data abstractors and to develop effective data abstraction tools will result in data that not only answers the research question, but also withstands the most rigorous critique.

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Abstracting and Indexing Data Collection Evidence-Based Medicine Guideline Adherence Hospitals, Veterans Humans Multicenter Studies as Topic Nurse's Role Observer Variation Outcome and Process Assessment, Health Care Practice Guidelines as Topic Research Design Research Personnel Spinal Cord Injuries United States United States Agency for Healthcare Research and Quality United States Department of Veterans Affairs Journal Article

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Barbara Simmons, Frank Bennett, Audrey Nelson, Stephen L Luther. 2002. Data abstraction: designing the tools, recruiting and training the data abstractors.. https://pubmed.ncbi.nlm.nih.gov/12510501/

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