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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Clinical ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Clinical Epidemiology
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Conclusions from surveys may not consider important biases: a systematic survey of surveys

Authors: Santesso, Nancy; Barbara, Angela M.; Kamran, Rakhshan; Akkinepally, Sita; Cairney, John; Akl, Elie A.; Schünemann, Holger J.;

Conclusions from surveys may not consider important biases: a systematic survey of surveys

Abstract

Surveys can inform important health care questions. However, should decision-makers believe strong conclusions that authors of surveys report? Objectives of this systematic survey of surveys are to describe the characteristics and conduct of surveys and investigate the association of the conduct with the conclusions.We randomly selected 180 surveys published over 1 year in core clinical journals that included a self-report instrument to elicit knowledge, attitudes, behaviors, and experiences regarding health. Study selection and abstraction was independent and in duplicate. We calculated frequencies of descriptive data. We conducted multivariable logistic regression analyses to assess the association of strong or weak conclusions with survey methods.Our results suggest that authors who validate questions in their survey make strong conclusions. We found that strong conclusions may not be associated with response rates or number of respondents. However, it did not appear that journal impact factor was related to strong conclusions.Our results suggest that users of surveys should not rely on the conclusions of authors. A critical appraisal tool for users of surveys and guidance for authors about factors to consider when making conclusions would be helpful.

Keywords

Questionnaires, Research Report, Communication, Guidelines as Topic, Surveys, 310, Data Accuracy, Reporting, Bias, Health Care Surveys, Conclusions, Humans, 2713 Epidemiology

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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