Abstract

BackgroundIn order to provide smoking cessation support to their patients in line with clinical practice guidelines, general practitioners must first ascertain whether their patients’ use tobacco. This study examined (i) the sensitivity, specificity, positive predictive value and negative predictive value of general practitioner detection of smoking, and (ii) the general practitioner and patient characteristics associated with detection of tobacco use.MethodsEligible patients completed a touchscreen computer survey while waiting for an appointment with their general practitioner. Patients self-reported demographic characteristics, medical history, and current smoking status. Following the patient’s consultation, their general practitioner was asked to indicate whether the patient was a current smoker (yes/no/unsure/not applicable). Smoking prevalence, sensitivity, specificity, positive predictive value and negative predictive values (with 95% confidence intervals) were calculated using patient self-report of smoking status as the gold standard. Generalised estimating equations were used to examine the general practitioner and patient characteristics associated with detection of tobacco use.ResultsFifty-one general practitioners and 1,573 patients in twelve general practices participated. Patient self-report of smoking was 11.3% compared to general practitioner estimated prevalence of 9.5%. Sensitivity of general practitioner assessment was 66% [95% CI 59–73] while specificity was 98% [95% CI 97–98]. Positive predictive value was 78% [95% CI 71–85] and negative predictive value was 96% [95% CI 95–97]. No general practitioner factors were associated with detection of smoking. Patients with a higher level of education or who responded ‘Other’ were less likely to be detected as smokers than patients who had completed a high school or below level of education.ConclusionDespite the important role general practitioners play in providing smoking cessation advice and support, a substantial proportion of general practitioners do not know their patient’s smoking status. This represents a significant missed opportunity in the provision of preventive healthcare. Electronic waiting room assessments may assist general practitioners in improving the identification of smokers.

Highlights

  • In order to provide smoking cessation support to their patients in line with clinical practice guidelines, general practitioners must first ascertain whether their patients’ use tobacco

  • Positive predictive value was 78% [95% Confidence interval (CI) 71–85] and negative predictive value was 96% [95% CI 95–97]

  • Detection of smoking had high specificity (98%). This may reflect the fact that smoking is an uncommon behaviour especially among middle aged and older adults [21], who predominated this sample. This high specificity indicates that general practitioner assessments of a positive smoking status are highly reliable and could be used as the basis for mail-based or withinconsultation provision of smoking care advice and support

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Summary

Introduction

In order to provide smoking cessation support to their patients in line with clinical practice guidelines, general practitioners must first ascertain whether their patients’ use tobacco. This study examined (i) the sensitivity, specificity, positive predictive value and negative predictive value of general practitioner detection of smoking, and (ii) the general practitioner and patient characteristics associated with detection of tobacco use. General practitioners are in a unique position to provide advice and support for smoking cessation. There is strong evidence that the majority of general practitioners view the Bryant et al BMC Family Practice (2015) 16:8 provision of smoking cessation advice as an important part of their role [7,8]. Before general practitioners can provide intervention for smoking cessation, they must first ascertain the smoking status of their patient

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