Journal of Multidisciplinary Healthcare· 2016Q1· Review
Information bias in health research: definition, pitfalls, and adjustment methods
- 3,016citations
- Q1SCImago
- 2016year
Short summary
This paper defines information bias (misclassification) as a common source of error in health research stemming from how study measurements are obtained, and highlights its impact on research validity.
AI-generated from the title and abstract; the full text is not read.
Key points
- Information bias, or misclassification, is a common threat to the validity of health research findings.
- It originates from errors in how study measurements are obtained or confirmed.
- Understanding and specifying types of information bias is crucial for limiting its effects.
- Adjustment methods can be employed to mitigate information bias and improve healthcare outcomes.
AI-generated from the title and abstract; the full text is not read.
Abstract
As with other fields, medical sciences are subject to different sources of bias. While understanding sources of bias is a key element for drawing valid conclusions, bias in health research continues to be a very sensitive issue that can affect the focus and outcome of investigations. Information bias, otherwise known as misclassification, is one of the most common sources of bias that affects the validity of health research. It originates from the approach that is utilized to obtain or confirm study measurements. This paper seeks to raise awareness of information bias in observational and experimental research study designs as well as to enrich discussions concerning bias problems. Specifying the types of bias can be essential to limit its effects and, the use of adjustment methods might serve to improve clinical evaluation and health care practice.
The authors' abstract, as published at the source. Journal of Multidisciplinary Healthcare, 2016 · DOI ↗
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Field: Family Practice
Family PracticeMedicine