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Open AccessHighly AccessResearch article

Covert observation in practice: lessons from the evaluation of the prohibition of smoking in public places in Scotland

Mark Petticrew1 email, Sean Semple2,3 email, Shona Hilton1 email, Kaen S Creely3 email, Douglas Eadie4 email, Deborah Ritchie5 email, Catherine Ferrell1 email, Yvette Christopher2,3 email and Fintan Hurley3 email

1MRC Social and Public Health Sciences Unit, Glasgow, UK

2Department of Environmental & Occupational Medicine, University of Aberdeen, UK

3Institute of Occupational Medicine, Riccarton, Edinburgh, UK

4Institute for Social Marketing, University of Stirling and Open University Dept of Marketing, University of Stirling, Stirling, UK

5University of Edinburgh School of Health in Social Science, Edinburgh, UK

author email corresponding author email

BMC Public Health 2007, 7:204doi:10.1186/1471-2458-7-204

Published: 10 August 2007

Abstract

Background

A ban on smoking in wholly or substantially enclosed public places has been in place in Scotland since 26th March 2006. The impact of this legislation is currently being evaluated in seven studies, three of which involve direct observation of smoking in bars and other enclosed public places. While the ethical issues around covert observation have been widely discussed there is little practical guidance on the conduct of such research. A workshop was therefore convened to identify practical lessons learned so far from the Scottish evaluation.

Methods

We convened a workshop involving researchers from the three studies which used direct observation. In addition, one of the fieldwork managers collected written feedback on the fieldwork, identifying problems that arose in the field and some solutions.

Results

There were four main themes identified: (i) the difficulty of achieving and maintaining concealment; (ii) the experience of being an observer; (iii) the risk of bias in the observations and (iv) issues around training and recruitment. These are discussed.

Conclusion

Collecting covert observational data poses unique practical challenges, in particular in relation to the health and safety of the researcher. The findings and solutions presented in this paper will be of value to researchers designing similar studies.


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