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Expert consensus on contamination in educational trials elicited by a Delphi exercise.

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Title: Expert consensus on contamination in educational trials elicited by a Delphi exercise.
Authors: Howe, Amanda (AUTHOR), Keogh‐Brown, Marcus (AUTHOR), Miles, Susan (AUTHOR), Bachmann, Max (AUTHOR)
Source: Medical Education. Feb2007, Vol. 41 Issue 2, p196-204. 9p. 4 Charts.
Subjects: Industrial contamination, Software compatibility, Experimental design, Statistical power analysis, Human behavior
Abstract: Context Contamination occurs when participants in the control arm of a trial receive an intervention that was intended for the intervention arm. Contamination tends to bias estimates of effectiveness towards no effect, and to reduce a trial's power to detect significant differences in outcomes. This is often assumed to be a problem in trials of educational interventions because of the transferability of verbal and experiential approaches. Cluster randomisation and other trial designs and analyses commonly used to reduce contamination can themselves cause bias or reduce statistical power. Methods We conducted a Delphi exercise to elicit experts' opinions about factors more or less likely to lead to contamination, and to rank methods of avoiding contamination when planning trials of educational interventions. Results Trials in settings with social, geographical or professional overlaps of respondents were considered to be at highest risk of contamination. Interventions that were complex and aimed to change behaviour were thought less likely to contaminate trials than simple interventions or those aimed at increasing knowledge. Discussion Although the issue of contamination requires detailed consideration of the nature of the intervention and academic judgement, this study adds to the literature on factors affecting contamination in educational studies and its findings will assist researchers in deciding whether they need to choose a cluster randomised trial design. The classification of studies and their likelihood of contamination suggest that complex interventions, also known to have greatest impact on behavioural change, have advantages in minimising contamination. Further work is required to see whether the additional costs of clustered studies are offset by the greater costs of complex interventions, while the aim of the study remains central to any choice of trial design. [ABSTRACT FROM AUTHOR]
Copyright of Medical Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Expert consensus on contamination in educational trials elicited by a Delphi exercise.
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  Data: <searchLink fieldCode="JN" term="%22Medical+Education%22">Medical Education</searchLink>. Feb2007, Vol. 41 Issue 2, p196-204. 9p. 4 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Industrial+contamination%22">Industrial contamination</searchLink><br /><searchLink fieldCode="DE" term="%22Software+compatibility%22">Software compatibility</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+power+analysis%22">Statistical power analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior%22">Human behavior</searchLink>
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  Data: Context Contamination occurs when participants in the control arm of a trial receive an intervention that was intended for the intervention arm. Contamination tends to bias estimates of effectiveness towards no effect, and to reduce a trial's power to detect significant differences in outcomes. This is often assumed to be a problem in trials of educational interventions because of the transferability of verbal and experiential approaches. Cluster randomisation and other trial designs and analyses commonly used to reduce contamination can themselves cause bias or reduce statistical power. Methods We conducted a Delphi exercise to elicit experts' opinions about factors more or less likely to lead to contamination, and to rank methods of avoiding contamination when planning trials of educational interventions. Results Trials in settings with social, geographical or professional overlaps of respondents were considered to be at highest risk of contamination. Interventions that were complex and aimed to change behaviour were thought less likely to contaminate trials than simple interventions or those aimed at increasing knowledge. Discussion Although the issue of contamination requires detailed consideration of the nature of the intervention and academic judgement, this study adds to the literature on factors affecting contamination in educational studies and its findings will assist researchers in deciding whether they need to choose a cluster randomised trial design. The classification of studies and their likelihood of contamination suggest that complex interventions, also known to have greatest impact on behavioural change, have advantages in minimising contamination. Further work is required to see whether the additional costs of clustered studies are offset by the greater costs of complex interventions, while the aim of the study remains central to any choice of trial design. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/j.1365-2929.2006.02674.x
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        Text: English
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      – SubjectFull: Experimental design
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              Text: Feb2007
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