Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery

Xueyao Su,1,* Yanyan Huang,1,* Wei Dai,2 Yubo Zhang,3 Lijun Zhang,1 Jiayuan Zhang,3 Ruoyan Gong,1 Jingwen Yu,3 Dan Kang,1 Rumei Xiang,1 Jiaojiao Chen,1 Qiuling Shi1– 3 1School of Public Health, Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Thorac...

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Main Authors: Su X, Huang Y, Dai W, Zhang Y, Zhang L, Zhang J, Gong R, Yu J, Kang D, Xiang R, Chen J, Shi Q
Format: Article
Language:English
Published: Dove Medical Press 2023-07-01
Series:Patient Preference and Adherence
Subjects:
Online Access:https://www.dovepress.com/recall-bias-in-the-assessment-of-cough-for-patients-discharged-from-lu-peer-reviewed-fulltext-article-PPA
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author Su X
Huang Y
Dai W
Zhang Y
Zhang L
Zhang J
Gong R
Yu J
Kang D
Xiang R
Chen J
Shi Q
author_facet Su X
Huang Y
Dai W
Zhang Y
Zhang L
Zhang J
Gong R
Yu J
Kang D
Xiang R
Chen J
Shi Q
author_sort Su X
collection DOAJ
description Xueyao Su,1,&ast; Yanyan Huang,1,&ast; Wei Dai,2 Yubo Zhang,3 Lijun Zhang,1 Jiayuan Zhang,3 Ruoyan Gong,1 Jingwen Yu,3 Dan Kang,1 Rumei Xiang,1 Jiaojiao Chen,1 Qiuling Shi1– 3 1School of Public Health, Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, People’s Republic of China; 3State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qiuling Shi, School of Public Health, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, People’s Republic of China, Tel +86-18290585397, Fax +86-28-85420116, Email qshi@cqmu.edu.cnPurpose: This study aimed to evaluate the presence of recall bias when patients retrospectively report cough scores.Patients and Methods: Patients who underwent lung surgery between July 2021 and November 2021 were recruited for this study. We retrospectively assessed the severity of cough within the past 24 hours and the past 7 days using a 0– 10 numerical rating scale. Recall bias was defined as the difference between the scores reported on the two assessments. Patients were grouped based on the longitudinal change in cough scores from pre-operation to 4 weeks after discharge using group-based trajectory models. Using generalized estimating equation to explore the factors influencing recall bias.Results: Overall, 199 patients were analyzed and demonstrated the three distinct trajectories of post-discharge cough: high (21.1%), medium (58.3%), and low (20.6%). Significant recall bias was found in week 2 for the high-trajectory patients (6.26 vs 5.10, P< 0.01) and in week 3 for the medium-trajectory patients (2.88 vs 2.60, P=0.01). Among all recall bias, 41.8% were of underestimation, and 21.7% of overestimation. The high trajectory group (β=1.14, P< 0.01) and measurement interval (β=0.36, P< 0.01) were risk factors for underestimation, while post-discharge time (β=− 0.57, P< 0.01) and measurement interval (β=− 0.13, P=0.02) were protective factors for overestimation.Conclusion: Retrospective assessment of post-discharge cough in patients who underwent lung surgery will introduce recall bias, with a tendency of underestimation. The high-trajectory group, interval time and post-discharge time are influencing factors of recall bias. For patients with severe cough at discharge, a shorter recall periods should be employed for monitoring, due to the large bias that results from a longer recall period.Keywords: patient-reported outcome, lung surgery, cough measurement, recall bias
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spelling doaj.art-8404e314e68b454a947b50667a6188632023-07-04T19:06:10ZengDove Medical PressPatient Preference and Adherence1177-889X2023-07-01Volume 171561157284855Recall Bias in the Assessment of Cough for Patients Discharged from Lung SurgerySu XHuang YDai WZhang YZhang LZhang JGong RYu JKang DXiang RChen JShi QXueyao Su,1,&ast; Yanyan Huang,1,&ast; Wei Dai,2 Yubo Zhang,3 Lijun Zhang,1 Jiayuan Zhang,3 Ruoyan Gong,1 Jingwen Yu,3 Dan Kang,1 Rumei Xiang,1 Jiaojiao Chen,1 Qiuling Shi1– 3 1School of Public Health, Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, People’s Republic of China; 3State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qiuling Shi, School of Public Health, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, People’s Republic of China, Tel +86-18290585397, Fax +86-28-85420116, Email qshi@cqmu.edu.cnPurpose: This study aimed to evaluate the presence of recall bias when patients retrospectively report cough scores.Patients and Methods: Patients who underwent lung surgery between July 2021 and November 2021 were recruited for this study. We retrospectively assessed the severity of cough within the past 24 hours and the past 7 days using a 0– 10 numerical rating scale. Recall bias was defined as the difference between the scores reported on the two assessments. Patients were grouped based on the longitudinal change in cough scores from pre-operation to 4 weeks after discharge using group-based trajectory models. Using generalized estimating equation to explore the factors influencing recall bias.Results: Overall, 199 patients were analyzed and demonstrated the three distinct trajectories of post-discharge cough: high (21.1%), medium (58.3%), and low (20.6%). Significant recall bias was found in week 2 for the high-trajectory patients (6.26 vs 5.10, P< 0.01) and in week 3 for the medium-trajectory patients (2.88 vs 2.60, P=0.01). Among all recall bias, 41.8% were of underestimation, and 21.7% of overestimation. The high trajectory group (β=1.14, P< 0.01) and measurement interval (β=0.36, P< 0.01) were risk factors for underestimation, while post-discharge time (β=− 0.57, P< 0.01) and measurement interval (β=− 0.13, P=0.02) were protective factors for overestimation.Conclusion: Retrospective assessment of post-discharge cough in patients who underwent lung surgery will introduce recall bias, with a tendency of underestimation. The high-trajectory group, interval time and post-discharge time are influencing factors of recall bias. For patients with severe cough at discharge, a shorter recall periods should be employed for monitoring, due to the large bias that results from a longer recall period.Keywords: patient-reported outcome, lung surgery, cough measurement, recall biashttps://www.dovepress.com/recall-bias-in-the-assessment-of-cough-for-patients-discharged-from-lu-peer-reviewed-fulltext-article-PPApatient-reported outcomelung surgerycough measurementrecall bias
spellingShingle Su X
Huang Y
Dai W
Zhang Y
Zhang L
Zhang J
Gong R
Yu J
Kang D
Xiang R
Chen J
Shi Q
Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery
Patient Preference and Adherence
patient-reported outcome
lung surgery
cough measurement
recall bias
title Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery
title_full Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery
title_fullStr Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery
title_full_unstemmed Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery
title_short Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery
title_sort recall bias in the assessment of cough for patients discharged from lung surgery
topic patient-reported outcome
lung surgery
cough measurement
recall bias
url https://www.dovepress.com/recall-bias-in-the-assessment-of-cough-for-patients-discharged-from-lu-peer-reviewed-fulltext-article-PPA
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