Literature DB >> 36223028

The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer.

James Convill1,2, Fiona Blackhall3,4, Janelle Yorke3,4, Corrine Faivre-Finn3,4, Fabio Gomes3.   

Abstract

INTRODUCTION: Smoking cessation following lung cancer diagnosis is recommended to improve patient outcomes. Electronic Patient Reported Outcome Measures (ePROMs) may be useful for identifying and facilitating cessation support in patients that continue to smoke after a cancer diagnosis. The primary aim was to investigate the level of agreement between clinician-reported and self-reported patient smoking status during the first visit to a cancer centre (I). Secondary aims included investigating differences between cancer-specific characteristics between never smokers and current/ex-smokers (IIA), and the self-reported frequency of smoking cessation after diagnosis of lung cancer (IIB).
METHODS: Retrospective single-centre study carried out at a tertiary cancer centre in the UK. Lung cancer patients that completed at least one ePROM questionnaire within 6 weeks of their first visit to the cancer centre (baseline), between February 2019 and February 2020, were included in the study. All ePROM questionnaires included a question regarding smoking status to allow comparison with the clinician records. Patients were offered these electronic questionnaires at each subsequent visit to the hospital.
RESULTS: Of 195 patients included, 24 (12.3%) demonstrated discordance between clinician-reported and self-reported smoking status at the baseline assessment. Clinician-reported 'current smokers' were more likely to be discordant with self-reported smoking status, compared with clinician-reported 'ex-smokers' and 'never smokers' (P = 0.017). Never smokers were more likely to have adenocarcinoma (P < 0.005), present with stage IV cancer (P = 0.023) and receive treatment with palliative intention (P = 0.042), compared with current and ex-smokers. Of those that were reported by clinicians as being current smokers, 9/38 (23.7%) were self-reported ex-smokers. A sub-group of 137 patients completed at least one additional ePROM questionnaire after the baseline and were included in the smoking cessation analysis. Thirty-eight patients were clinician-reported as 'current smokers' at baseline. Of these, 9 subsequently stopped smoking, 17 continued and 3 had short periods of cessation, identified through self-reporting.
CONCLUSION: In most cases, there is concordance between clinician- and self-reported smoking status. A small area of discordance was identified where clinicians reported some patients as 'current smokers', whilst patients self-reported having stopped. The causes for this were not explored and require further investigation. This study supports the use of ePROMs as a helpful tool to assess smoking status, and it can be used to identify patients for smoking cessation referral.
© 2022. The Author(s).

Entities:  

Keywords:  Lung cancer; PROMs; Patient Reported Outcome Measures; Smoking; Smoking cessation

Year:  2022        PMID: 36223028     DOI: 10.1007/s40487-022-00210-7

Source DB:  PubMed          Journal:  Oncol Ther        ISSN: 2366-1089


  16 in total

1.  The relationship between cigarette smoking and quality of life after lung cancer diagnosis.

Authors:  Yolanda I Garces; Ping Yang; Julia Parkinson; Xinghua Zhao; Jason A Wampfler; Jon O Ebbert; Jeff A Sloan
Journal:  Chest       Date:  2004-12       Impact factor: 9.410

2.  Effect of cigarette smoking on quality of life in small cell lung cancer patients.

Authors:  Jun Chen; Yingwei Qi; Jason A Wampfler; Aminah Jatoi; Yolanda I Garces; Allan J Busta; Sumithra J Mandrekar; Ping Yang
Journal:  Eur J Cancer       Date:  2012-01-12       Impact factor: 9.162

3.  Lung cancer death rates in lifelong nonsmokers.

Authors:  Michael J Thun; S Jane Henley; David Burns; Ahmedin Jemal; Thomas G Shanks; Eugenia E Calle
Journal:  J Natl Cancer Inst       Date:  2006-05-17       Impact factor: 13.506

4.  Smoking cessation after diagnosis of lung cancer is associated with a beneficial effect on performance status.

Authors:  Sevin Baser; Vickie R Shannon; Georgie A Eapen; Carlos A Jimenez; Amir Onn; E Lin; Rodolfo C Morice
Journal:  Chest       Date:  2006-12       Impact factor: 9.410

5.  Lung cancer in nonsmokers.

Authors:  G C Kabat; E L Wynder
Journal:  Cancer       Date:  1984-03-01       Impact factor: 6.860

6.  Adverse symptom event reporting by patients vs clinicians: relationships with clinical outcomes.

Authors:  Ethan Basch; Xiaoyu Jia; Glenn Heller; Allison Barz; Laura Sit; Michael Fruscione; Mark Appawu; Alexia Iasonos; Thomas Atkinson; Shari Goldfarb; Ann Culkin; Mark G Kris; Deborah Schrag
Journal:  J Natl Cancer Inst       Date:  2009-11-17       Impact factor: 13.506

7.  Accuracy of self-reported tobacco use in newly diagnosed cancer patients.

Authors:  Nelson A Morales; Michelle A Romano; K Michael Cummings; James R Marshall; Andrew J Hyland; Alan Hutson; Graham W Warren
Journal:  Cancer Causes Control       Date:  2013-04-04       Impact factor: 2.506

8.  Persistent smoking after a diagnosis of lung cancer is associated with higher reported pain levels.

Authors:  Marcella Daniel; Francis J Keefe; Pauline Lyna; Bercedis Peterson; Jennifer Garst; Mike Kelley; Gerold Bepler; Lori A Bastian
Journal:  J Pain       Date:  2009-03       Impact factor: 5.820

9.  Patient-Reported Outcomes (PROs) and Patient-Reported Outcome Measures (PROMs).

Authors:  Theresa Weldring; Sheree M S Smith
Journal:  Health Serv Insights       Date:  2013-08-04

10.  Investigating the utilization of radiological services by physician patients: a population-based cohort study in Taiwan.

Authors:  Chen-Yi Wu; Hsiao-Yun Hu; Likwang Chen; Nicole Huang; Yiing-Jeng Chou; Chung-Pin Li
Journal:  BMC Health Serv Res       Date:  2013-07-23       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.