Tracking biases: an update to the validity and reliability of alcohol retail sales data for estimating population consumption in Scotland

Audrey Henderson; Mark Robinson; Rachel McAdams; Gerry McCartney; Clare Beeston

doi:10.1093/alcalc/agv109

Tracking biases: an update to the validity and reliability of alcohol retail sales data for estimating population consumption in Scotland

Audrey Henderson, Mark Robinson, Rachel McAdams, Gerry McCartney, Clare Beeston

Research output: Contribution to journal › Article › peer-review

Abstract

Aims: To highlight the importance of monitoring biases when using retail sales data to estimate population alcohol consumption.
Methods: Previously, we identified and where possible quantified sources of bias that may lead to under- or overestimation of alcohol consumption in Scotland. Here, we update findings by using more recent data and by quantifying emergent biases.
Results: Underestimation resulting from the net effect of biases on population consumption in Scotland increased from -4% in 2010 to -7% in 2013.
Conclusion: Biases that might impact on the validity and reliability of sales data when estimating population consumption should be routinely monitored and updated.

Original language	English
Pages (from-to)	363-366
Number of pages	4
Journal	Alcohol and Alcoholism
Volume	51
Issue number	3
Early online date	28 Sept 2015
DOIs	https://doi.org/10.1093/alcalc/agv109
Publication status	Published - 1 May 2016

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10.1093/alcalc/agv109Licence: CC BY-NC

Henderson_2016_A&A_PopulationConsumption_CC
© The Author 2015. Medical Council on Alcohol and Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Final published version, 160 KBLicence: CC BY-NC

Cite this

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title = "Tracking biases: an update to the validity and reliability of alcohol retail sales data for estimating population consumption in Scotland",

abstract = "Aims: To highlight the importance of monitoring biases when using retail sales data to estimate population alcohol consumption.Methods: Previously, we identified and where possible quantified sources of bias that may lead to under- or overestimation of alcohol consumption in Scotland. Here, we update findings by using more recent data and by quantifying emergent biases.Results: Underestimation resulting from the net effect of biases on population consumption in Scotland increased from -4% in 2010 to -7% in 2013.Conclusion: Biases that might impact on the validity and reliability of sales data when estimating population consumption should be routinely monitored and updated.",

author = "Audrey Henderson and Mark Robinson and Rachel McAdams and Gerry McCartney and Clare Beeston",

note = "Purchase of the sales data was funded by the Scottish Government as part of the wider Monitoring and Evaluating Scotland's Alcohol Strategy portfolio of studies. Funding to pay the Open Access publication charges for this article was provided by NHS Health Scotland.",

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doi = "10.1093/alcalc/agv109",

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T2 - an update to the validity and reliability of alcohol retail sales data for estimating population consumption in Scotland

AU - Henderson, Audrey

AU - Robinson, Mark

AU - McAdams, Rachel

AU - McCartney, Gerry

AU - Beeston, Clare

N1 - Purchase of the sales data was funded by the Scottish Government as part of the wider Monitoring and Evaluating Scotland's Alcohol Strategy portfolio of studies. Funding to pay the Open Access publication charges for this article was provided by NHS Health Scotland.

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N2 - Aims: To highlight the importance of monitoring biases when using retail sales data to estimate population alcohol consumption.Methods: Previously, we identified and where possible quantified sources of bias that may lead to under- or overestimation of alcohol consumption in Scotland. Here, we update findings by using more recent data and by quantifying emergent biases.Results: Underestimation resulting from the net effect of biases on population consumption in Scotland increased from -4% in 2010 to -7% in 2013.Conclusion: Biases that might impact on the validity and reliability of sales data when estimating population consumption should be routinely monitored and updated.

AB - Aims: To highlight the importance of monitoring biases when using retail sales data to estimate population alcohol consumption.Methods: Previously, we identified and where possible quantified sources of bias that may lead to under- or overestimation of alcohol consumption in Scotland. Here, we update findings by using more recent data and by quantifying emergent biases.Results: Underestimation resulting from the net effect of biases on population consumption in Scotland increased from -4% in 2010 to -7% in 2013.Conclusion: Biases that might impact on the validity and reliability of sales data when estimating population consumption should be routinely monitored and updated.

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Tracking biases: an update to the validity and reliability of alcohol retail sales data for estimating population consumption in Scotland

Abstract

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