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The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681961/ https://www.ncbi.nlm.nih.gov/pubmed/36223028 http://dx.doi.org/10.1007/s40487-022-00210-7 |
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author | Convill, James Blackhall, Fiona Yorke, Janelle Faivre-Finn, Corrine Gomes, Fabio |
author_facet | Convill, James Blackhall, Fiona Yorke, Janelle Faivre-Finn, Corrine Gomes, Fabio |
author_sort | Convill, James |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40487-022-00210-7. |
format | Online Article Text |
id | pubmed-9681961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-96819612022-11-24 The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer Convill, James Blackhall, Fiona Yorke, Janelle Faivre-Finn, Corrine Gomes, Fabio Oncol Ther Original Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40487-022-00210-7. Springer Healthcare 2022-10-12 /pmc/articles/PMC9681961/ /pubmed/36223028 http://dx.doi.org/10.1007/s40487-022-00210-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Convill, James Blackhall, Fiona Yorke, Janelle Faivre-Finn, Corrine Gomes, Fabio The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer |
title | The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer |
title_full | The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer |
title_fullStr | The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer |
title_full_unstemmed | The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer |
title_short | The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer |
title_sort | role of electronic patient-reported outcome measures in assessing smoking status and cessation for patients with lung cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681961/ https://www.ncbi.nlm.nih.gov/pubmed/36223028 http://dx.doi.org/10.1007/s40487-022-00210-7 |
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