Information bias in health research: definition, pitfalls, and adjustment methods

Alaa Althubaiti Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia Abstract: As with other fields, medical sciences are subject to different sources of bias. While understanding sources of bias is a key element for...
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Autor*in:	Althubaiti A [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Information bias self-report bias recall bias measurement error bias confirmation bias

Übergeordnetes Werk:	In: Journal of Multidisciplinary Healthcare - Dove Medical Press, 2008, (2016), Issue 1, Seite 211-217
Übergeordnetes Werk:	year:2016 ; number:Issue 1 ; pages:211-217

Links:	Link aufrufen Link aufrufen Journal toc

Katalog-ID:	DOAJ016870581

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spelling	(DE-627)DOAJ016870581 (DE-599)DOAJb1da50f685f4486d809494257f7e7181 DE-627 ger DE-627 rakwb eng R5-920 Althubaiti A verfasserin aut Information bias in health research: definition, pitfalls, and adjustment methods 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Alaa Althubaiti Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia 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. Keywords: self-report bias, social desirability bias, recall bias, misclassification, measurement error bias, confirmation bias Information bias self-report bias recall bias measurement error bias confirmation bias Medicine (General) In Journal of Multidisciplinary Healthcare Dove Medical Press, 2008 (2016), Issue 1, Seite 211-217 (DE-627)579829413 (DE-600)2453343-9 11782390 nnns year:2016 number:Issue 1 pages:211-217 https://doaj.org/article/b1da50f685f4486d809494257f7e7181 kostenfrei https://www.dovepress.com/information-bias-in-health-research-definition-pitfalls-and-adjustment-peer-reviewed-article-JMDH kostenfrei https://doaj.org/toc/1178-2390 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2016 Issue 1 211-217
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title	Information bias in health research: definition, pitfalls, and adjustment methods
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title_sort	information bias in health research: definition, pitfalls, and adjustment methods
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title_auth	Information bias in health research: definition, pitfalls, and adjustment methods
abstract	Alaa Althubaiti Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia 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. Keywords: self-report bias, social desirability bias, recall bias, misclassification, measurement error bias, confirmation bias
abstractGer	Alaa Althubaiti Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia 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. Keywords: self-report bias, social desirability bias, recall bias, misclassification, measurement error bias, confirmation bias
abstract_unstemmed	Alaa Althubaiti Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia 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. Keywords: self-report bias, social desirability bias, recall bias, misclassification, measurement error bias, confirmation bias
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