Cargando…

Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study

To explore the status of diagnostic delay and to clarify its potentially influencing factors in patients with chronic obstructive pulmonary disease (COPD). A cross-sectional study was conducted in a Chinese tertiary hospital between July 2019 and February 2020. A total of 408 eligible outpatients wi...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Zhongshang, Ma, Yiming, Zhan, Zijie, Chen, Ping, Chen, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270997/
https://www.ncbi.nlm.nih.gov/pubmed/34244537
http://dx.doi.org/10.1038/s41598-021-93499-9
_version_ 1783720914482888704
author Dai, Zhongshang
Ma, Yiming
Zhan, Zijie
Chen, Ping
Chen, Yan
author_facet Dai, Zhongshang
Ma, Yiming
Zhan, Zijie
Chen, Ping
Chen, Yan
author_sort Dai, Zhongshang
collection PubMed
description To explore the status of diagnostic delay and to clarify its potentially influencing factors in patients with chronic obstructive pulmonary disease (COPD). A cross-sectional study was conducted in a Chinese tertiary hospital between July 2019 and February 2020. A total of 408 eligible outpatients with COPD were recruited, and relevant data were collected in the form of questionnaires. Diagnostic delay was compared among different characteristics using the Wilcoxon test and Kruskal–Wallis H test. Multivariable linear regression analysis was performed to determine the factors related to diagnostic delay. The median (interquartile range [IQR]) duration of diagnostic delay was 230 (50–720) days. The proportions of COPD patients who chose tertiary, secondary, and first-level hospitals for the first visit were 53.7%, 29.9%, and 16.4%, respectively. Additionally, the proportions of patients who underwent pulmonary function tests for the first visit in tertiary, secondary, and first-level hospitals were 74.0%, 24.6%, and 1.5% (p < 0.001), respectively. In terms of characteristics related to diagnostic delay, there was a significant difference in residence, resident manner, COPD assessment test (CAT) score, modified Medical British Research Council (mMRC) dyspnea scale, age, forced expiratory volume in one second (FEV1) % predicted, and years of education (all p < 0.01). Linear regression analysis showed that significant predictors of diagnostic delay included FEV1% predicted (p < 0.05), resident manner (p < 0.001), and years of education (p < 0.01). Our study indicates that varying degrees of diagnostic delay may exist in patients with COPD. Measures are needed to intervene in the potential factors associated with diagnostic delay.
format Online
Article
Text
id pubmed-8270997
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-82709972021-07-13 Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study Dai, Zhongshang Ma, Yiming Zhan, Zijie Chen, Ping Chen, Yan Sci Rep Article To explore the status of diagnostic delay and to clarify its potentially influencing factors in patients with chronic obstructive pulmonary disease (COPD). A cross-sectional study was conducted in a Chinese tertiary hospital between July 2019 and February 2020. A total of 408 eligible outpatients with COPD were recruited, and relevant data were collected in the form of questionnaires. Diagnostic delay was compared among different characteristics using the Wilcoxon test and Kruskal–Wallis H test. Multivariable linear regression analysis was performed to determine the factors related to diagnostic delay. The median (interquartile range [IQR]) duration of diagnostic delay was 230 (50–720) days. The proportions of COPD patients who chose tertiary, secondary, and first-level hospitals for the first visit were 53.7%, 29.9%, and 16.4%, respectively. Additionally, the proportions of patients who underwent pulmonary function tests for the first visit in tertiary, secondary, and first-level hospitals were 74.0%, 24.6%, and 1.5% (p < 0.001), respectively. In terms of characteristics related to diagnostic delay, there was a significant difference in residence, resident manner, COPD assessment test (CAT) score, modified Medical British Research Council (mMRC) dyspnea scale, age, forced expiratory volume in one second (FEV1) % predicted, and years of education (all p < 0.01). Linear regression analysis showed that significant predictors of diagnostic delay included FEV1% predicted (p < 0.05), resident manner (p < 0.001), and years of education (p < 0.01). Our study indicates that varying degrees of diagnostic delay may exist in patients with COPD. Measures are needed to intervene in the potential factors associated with diagnostic delay. Nature Publishing Group UK 2021-07-09 /pmc/articles/PMC8270997/ /pubmed/34244537 http://dx.doi.org/10.1038/s41598-021-93499-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dai, Zhongshang
Ma, Yiming
Zhan, Zijie
Chen, Ping
Chen, Yan
Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
title Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
title_full Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
title_fullStr Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
title_full_unstemmed Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
title_short Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
title_sort analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270997/
https://www.ncbi.nlm.nih.gov/pubmed/34244537
http://dx.doi.org/10.1038/s41598-021-93499-9
work_keys_str_mv AT daizhongshang analysisofdiagnosticdelayanditsinfluencingfactorsinpatientswithchronicobstructivepulmonarydiseaseacrosssectionalstudy
AT mayiming analysisofdiagnosticdelayanditsinfluencingfactorsinpatientswithchronicobstructivepulmonarydiseaseacrosssectionalstudy
AT zhanzijie analysisofdiagnosticdelayanditsinfluencingfactorsinpatientswithchronicobstructivepulmonarydiseaseacrosssectionalstudy
AT chenping analysisofdiagnosticdelayanditsinfluencingfactorsinpatientswithchronicobstructivepulmonarydiseaseacrosssectionalstudy
AT chenyan analysisofdiagnosticdelayanditsinfluencingfactorsinpatientswithchronicobstructivepulmonarydiseaseacrosssectionalstudy