alexa Lung Age Bio-feedback Using a Portable Lung Age Meter with Brief Advice During Routine Consultations Promote Smoking Cessation – Know2quit Multicenter Randomized Control Trial
ISSN: 2329-9126

Journal of General Practice
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Research Article

Lung Age Bio-feedback Using a Portable Lung Age Meter with Brief Advice During Routine Consultations Promote Smoking Cessation – Know2quit Multicenter Randomized Control Trial

Joseph Ojedokun1*Sarah Keane2Kieran O’Connor3
1General Practice Specialist Registrar, South East General Practice Training Programme (MBBS; MRCSI; MICGP), Waterford Regional Hospital, Waterford, Ireland
2General Practice Specialist Registrar, South East General Practice Training Programme (MB BCh; MICGP), Waterford Regional Hospital, Waterford, Ireland
3Senior Medical Officer (MD MPH FRCPI), Department of Public Health, HSE-SE, Kilkenny, Ireland
Corresponding Author : Joseph Ojedokun
General Practice Specialist Registrar
South East General Practice Training Programme (MBBS; MRCSI; MICGP)
Waterford Regional Hospital
Waterford, Ireland
Tel: +353 85 1333 844
E-mail: [email protected]
Received July 27, 2013; Accepted August 22, 2013; Published September 03, 2013
Citation: Ojedokun J, Keane S, O’Connor K (2013) Lung Age Bio-feedback Using a Portable Lung Age Meter with Brief Advice During Routine Consultations Promote Smoking Cessation – Know2quit Multicenter Randomized Control Trial. J Gen Pract 1:123. doi:10.4172/2329-9126.1000123
Copyright: © 2013 Ojedokun J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Background presenting lung age data to smokers who were invited for a formal spirometry has been shown to increase quit rate at 12 months. Main Objective Here, we evaluate the effect of informing active smokers of their lung age using a portable Vitalograph during routine GP consultations on smoking cessation intentions and quit behavior. Methods Four hundred and two active smokers from 5 General Practices had their smoking behaviors and stages on Prochaska’s wheel of change (WOC) evaluated before consultation. Patients randomized to the control arm received standardized smoking cessation advice during routine consultations. Patients in the intervention arm received, in addition, lung age information derived from a portable Vitalograph. Self-reported quit rates and progression on the WOC were assessed at 4 weeks post-intervention. Results Quit rates at 4 weeks in the control and intervention arms respectively were 12.0% and 22.1% (difference 10.1%, p=0.01, 95% CI 1.5% to 18.7%; number needed to treat 10). Net positive progression on the WOC in the control and intervention arms respectively were 7.3% and 29.1% (difference 21.8%, p=0.02, 95% CI 13.2% to 30.4%; number needed to treat 4.6). Smokers with poorer lung age values were just as likely to quit as those with normal lung ages. Smokers in the intervention group were more likely to request pharmacotherapy to support quitting (p<0.0001). Conclusion When promoting smoking cessation during clinical consultations, providing ‘lung age’ biofeedback to patients using a Vitalograph is a clinically effective intervention to foster quitting and positive intentions towards quitting.

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