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Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study

To examine the current situation of patient delay and to identify factors associated with patient delay among women with breast cancer in China. A total of 283 women, aged 23 to 83 years old and with histologically confirmed breast cancer, were investigated in this cross-sectional study. The women w...

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Autores principales: Zhang, Huaguo, Wang, Guorong, Zhang, Jina, Lu, Ying, Jiang, Xiaolian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783180/
https://www.ncbi.nlm.nih.gov/pubmed/31577773
http://dx.doi.org/10.1097/MD.0000000000017454
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author Zhang, Huaguo
Wang, Guorong
Zhang, Jina
Lu, Ying
Jiang, Xiaolian
author_facet Zhang, Huaguo
Wang, Guorong
Zhang, Jina
Lu, Ying
Jiang, Xiaolian
author_sort Zhang, Huaguo
collection PubMed
description To examine the current situation of patient delay and to identify factors associated with patient delay among women with breast cancer in China. A total of 283 women, aged 23 to 83 years old and with histologically confirmed breast cancer, were investigated in this cross-sectional study. The women were recruited from seven selected hospitals in Sichuan Province, China. Face-to-face interviews using a structured questionnaire were performed. Among the 283 participants, the range of patient delay was 0.2 to 900 days with a median patient delay of 50 days. A total of 35.8% of patients waited ≥90 days to access medical treatment after symptom onset. Binary logistic regression analysis showed that the main predictors of patient delay were knowledge of breast cancer symptoms (OR = 0.716, 95%CI:0.637–0.804, P = .000), external health locus of control (OR = 1.173, 95%CI:1.087–1.266, P = .000), breast self-examination/physical examination (OR = 0.065, 95%CI: 0.007–0.590, P = .015), perceived health competence (OR = 0.873, 95%CI:0.808–0.944, P = .000), family support (OR = 0.911,95%CI:0.847–0.981, P = .013), pain stimulation (OR = 0.191, 95%CI:0.046–0.792, P = .023) and age (OR = 1.028, 95%CI:1.000–1.058, P = .049). These factors explained 41.0% of the variance. Information on the current situation and predictors of patient delay in Chinese women with breast cancer might provide meaning insights into the early diagnosis of breast cancer. The results of this study may help health professionals develop specific clinical practice strategies to reduce patient delay of initial treatment as a way to improve outcomes for women with breast cancer.
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spelling pubmed-67831802019-11-13 Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study Zhang, Huaguo Wang, Guorong Zhang, Jina Lu, Ying Jiang, Xiaolian Medicine (Baltimore) 5700 To examine the current situation of patient delay and to identify factors associated with patient delay among women with breast cancer in China. A total of 283 women, aged 23 to 83 years old and with histologically confirmed breast cancer, were investigated in this cross-sectional study. The women were recruited from seven selected hospitals in Sichuan Province, China. Face-to-face interviews using a structured questionnaire were performed. Among the 283 participants, the range of patient delay was 0.2 to 900 days with a median patient delay of 50 days. A total of 35.8% of patients waited ≥90 days to access medical treatment after symptom onset. Binary logistic regression analysis showed that the main predictors of patient delay were knowledge of breast cancer symptoms (OR = 0.716, 95%CI:0.637–0.804, P = .000), external health locus of control (OR = 1.173, 95%CI:1.087–1.266, P = .000), breast self-examination/physical examination (OR = 0.065, 95%CI: 0.007–0.590, P = .015), perceived health competence (OR = 0.873, 95%CI:0.808–0.944, P = .000), family support (OR = 0.911,95%CI:0.847–0.981, P = .013), pain stimulation (OR = 0.191, 95%CI:0.046–0.792, P = .023) and age (OR = 1.028, 95%CI:1.000–1.058, P = .049). These factors explained 41.0% of the variance. Information on the current situation and predictors of patient delay in Chinese women with breast cancer might provide meaning insights into the early diagnosis of breast cancer. The results of this study may help health professionals develop specific clinical practice strategies to reduce patient delay of initial treatment as a way to improve outcomes for women with breast cancer. Wolters Kluwer Health 2019-10-04 /pmc/articles/PMC6783180/ /pubmed/31577773 http://dx.doi.org/10.1097/MD.0000000000017454 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 5700
Zhang, Huaguo
Wang, Guorong
Zhang, Jina
Lu, Ying
Jiang, Xiaolian
Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study
title Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study
title_full Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study
title_fullStr Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study
title_full_unstemmed Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study
title_short Patient delay and associated factors among Chinese women with breast cancer: A cross-sectional study
title_sort patient delay and associated factors among chinese women with breast cancer: a cross-sectional study
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783180/
https://www.ncbi.nlm.nih.gov/pubmed/31577773
http://dx.doi.org/10.1097/MD.0000000000017454
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