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Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol
INTRODUCTION: Patient-reported outcome-based symptom monitoring and alerting have been attractive for patient care after a tumour-removal surgery. However, the implementation parameters of this patient-centred symptom management system in perioperative patients with lung cancer are still lacking. We...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830688/ https://www.ncbi.nlm.nih.gov/pubmed/31662377 http://dx.doi.org/10.1136/bmjopen-2019-030726 |
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author | Dai, Wei Xie, Shaohua Zhang, Rui Wei, Xing Wu, Chuanmei Zhang, Yuanqiang Feng, Wenhong Liao, Xiaoqing Mu, Yunfei Zhou, Heling Cheng, Xuemei Jiang, Yanhua He, Jintao Li, Qiang Yang, Xiaojun Shi, Qiuling |
author_facet | Dai, Wei Xie, Shaohua Zhang, Rui Wei, Xing Wu, Chuanmei Zhang, Yuanqiang Feng, Wenhong Liao, Xiaoqing Mu, Yunfei Zhou, Heling Cheng, Xuemei Jiang, Yanhua He, Jintao Li, Qiang Yang, Xiaojun Shi, Qiuling |
author_sort | Dai, Wei |
collection | PubMed |
description | INTRODUCTION: Patient-reported outcome-based symptom monitoring and alerting have been attractive for patient care after a tumour-removal surgery. However, the implementation parameters of this patient-centred symptom management system in perioperative patients with lung cancer are still lacking. We aim to develop a perioperative symptom scale (PSS) for monitoring, to determine the optimal time points for symptom assessment and to define the alert thresholds for medical intervention. METHODS AND ANALYSIS: This study will prospectively recruit 300 patients undergoing lung cancer surgery in six hospitals. The MD Anderson Symptom Inventory–Lung Cancer Module (MDASI-LC) is used to collect longitudinal symptom data preoperatively, daily postoperatively during in-hospital stay and weekly after discharge until 4 weeks or the start of postoperative oncological therapy. Symptoms that change significantly over time will be generated as the PSS. We will determine the optimal time points for follow-up using the generalised linear mixed-effects models. The MDASI-LC interference-measured functional status will be used as the anchor for the alert thresholds. ETHICS AND DISSEMINATION: Ethics Committee of Sichuan Cancer Hospital approved this study on 16 October 2017 (No. SCCHEC-02-2017-042). The manuscript is based on the latest protocol of Version 3.0, 15 September 2019. The results of this study will be presented at medical conferences and published in peer-reviewed journals. TRIALS REGISTRATION NUMBER: NCT03341377. |
format | Online Article Text |
id | pubmed-6830688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-68306882019-11-20 Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol Dai, Wei Xie, Shaohua Zhang, Rui Wei, Xing Wu, Chuanmei Zhang, Yuanqiang Feng, Wenhong Liao, Xiaoqing Mu, Yunfei Zhou, Heling Cheng, Xuemei Jiang, Yanhua He, Jintao Li, Qiang Yang, Xiaojun Shi, Qiuling BMJ Open Oncology INTRODUCTION: Patient-reported outcome-based symptom monitoring and alerting have been attractive for patient care after a tumour-removal surgery. However, the implementation parameters of this patient-centred symptom management system in perioperative patients with lung cancer are still lacking. We aim to develop a perioperative symptom scale (PSS) for monitoring, to determine the optimal time points for symptom assessment and to define the alert thresholds for medical intervention. METHODS AND ANALYSIS: This study will prospectively recruit 300 patients undergoing lung cancer surgery in six hospitals. The MD Anderson Symptom Inventory–Lung Cancer Module (MDASI-LC) is used to collect longitudinal symptom data preoperatively, daily postoperatively during in-hospital stay and weekly after discharge until 4 weeks or the start of postoperative oncological therapy. Symptoms that change significantly over time will be generated as the PSS. We will determine the optimal time points for follow-up using the generalised linear mixed-effects models. The MDASI-LC interference-measured functional status will be used as the anchor for the alert thresholds. ETHICS AND DISSEMINATION: Ethics Committee of Sichuan Cancer Hospital approved this study on 16 October 2017 (No. SCCHEC-02-2017-042). The manuscript is based on the latest protocol of Version 3.0, 15 September 2019. The results of this study will be presented at medical conferences and published in peer-reviewed journals. TRIALS REGISTRATION NUMBER: NCT03341377. BMJ Publishing Group 2019-10-28 /pmc/articles/PMC6830688/ /pubmed/31662377 http://dx.doi.org/10.1136/bmjopen-2019-030726 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Oncology Dai, Wei Xie, Shaohua Zhang, Rui Wei, Xing Wu, Chuanmei Zhang, Yuanqiang Feng, Wenhong Liao, Xiaoqing Mu, Yunfei Zhou, Heling Cheng, Xuemei Jiang, Yanhua He, Jintao Li, Qiang Yang, Xiaojun Shi, Qiuling Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
title | Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
title_full | Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
title_fullStr | Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
title_full_unstemmed | Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
title_short | Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
title_sort | developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective, observational cohort study protocol |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830688/ https://www.ncbi.nlm.nih.gov/pubmed/31662377 http://dx.doi.org/10.1136/bmjopen-2019-030726 |
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