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Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China
BACKGROUND: For patients with rare diseases (RD), misdiagnosis (or erroneous diagnosis) is one of the key issues that hinder RD patients’ accessibility to timely treatment. Yet, little is known about the main factors that are associated with RD patients’ misdiagnosis. The objective of this study is...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594300/ https://www.ncbi.nlm.nih.gov/pubmed/33115515 http://dx.doi.org/10.1186/s13023-020-01587-2 |
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author | Dong, Dong Chung, Roger Yat-Nork Chan, Rufina H. W. Gong, Shiwei Xu, Richard Huan |
author_facet | Dong, Dong Chung, Roger Yat-Nork Chan, Rufina H. W. Gong, Shiwei Xu, Richard Huan |
author_sort | Dong, Dong |
collection | PubMed |
description | BACKGROUND: For patients with rare diseases (RD), misdiagnosis (or erroneous diagnosis) is one of the key issues that hinder RD patients’ accessibility to timely treatment. Yet, little is known about the main factors that are associated with RD patients’ misdiagnosis. The objective of this study is to analyze data from a national survey among 2040 RD patients from China to explore the association between misdiagnosis and various factors, including patients’ demographics, socio-economic status, medical history, and their accessibility to RD information. RESULTS: Three binary logistic regression analyses were performed to assess the relationships between misdiagnosis and level of rarity of the RDs (mild, moderate, and severe), demographics, health insurance levels, and accessibility to disease-related information by using the total sample, and the adult and non-adult sub-samples. We found that accessibility to RD information is the most critical factor influencing the patients’ chances of being misdiagnosed (odds ratio [OR] = 4.459, p < 0.001). In other words, the greater the difficulty in accessing the information on RD management, the higher the possibility of experiencing misdiagnosis. Such influences of information accessibility on misdiagnosis were repeatedly discovered when examining the adult (OR = 3.732, p < 0.001) and the non-adult (OR = 5.174, p < 0.001) sub-samples. The association between perceived economic status and misdiagnosis was only significant in the total sample. The only other factor significantly associated with misdiagnosis was disease multimorbidity: participants who reported no multimorbidity are less likely to experience misdiagnosis (OR = 0.42, p < 0.001). CONCLUSIONS: Our study indicated that patients with RDs who have difficulty in accessing disease-related information are two to five times more likely to have experienced misdiagnosis. Even after adjusting for the patients’ age, gender, economic levels, and education levels, the impact of information accessibility was still significant. Our finding highlights the importance of access to information in reducing misdiagnosis among RD patients. |
format | Online Article Text |
id | pubmed-7594300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75943002020-10-30 Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China Dong, Dong Chung, Roger Yat-Nork Chan, Rufina H. W. Gong, Shiwei Xu, Richard Huan Orphanet J Rare Dis Research BACKGROUND: For patients with rare diseases (RD), misdiagnosis (or erroneous diagnosis) is one of the key issues that hinder RD patients’ accessibility to timely treatment. Yet, little is known about the main factors that are associated with RD patients’ misdiagnosis. The objective of this study is to analyze data from a national survey among 2040 RD patients from China to explore the association between misdiagnosis and various factors, including patients’ demographics, socio-economic status, medical history, and their accessibility to RD information. RESULTS: Three binary logistic regression analyses were performed to assess the relationships between misdiagnosis and level of rarity of the RDs (mild, moderate, and severe), demographics, health insurance levels, and accessibility to disease-related information by using the total sample, and the adult and non-adult sub-samples. We found that accessibility to RD information is the most critical factor influencing the patients’ chances of being misdiagnosed (odds ratio [OR] = 4.459, p < 0.001). In other words, the greater the difficulty in accessing the information on RD management, the higher the possibility of experiencing misdiagnosis. Such influences of information accessibility on misdiagnosis were repeatedly discovered when examining the adult (OR = 3.732, p < 0.001) and the non-adult (OR = 5.174, p < 0.001) sub-samples. The association between perceived economic status and misdiagnosis was only significant in the total sample. The only other factor significantly associated with misdiagnosis was disease multimorbidity: participants who reported no multimorbidity are less likely to experience misdiagnosis (OR = 0.42, p < 0.001). CONCLUSIONS: Our study indicated that patients with RDs who have difficulty in accessing disease-related information are two to five times more likely to have experienced misdiagnosis. Even after adjusting for the patients’ age, gender, economic levels, and education levels, the impact of information accessibility was still significant. Our finding highlights the importance of access to information in reducing misdiagnosis among RD patients. BioMed Central 2020-10-28 /pmc/articles/PMC7594300/ /pubmed/33115515 http://dx.doi.org/10.1186/s13023-020-01587-2 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dong, Dong Chung, Roger Yat-Nork Chan, Rufina H. W. Gong, Shiwei Xu, Richard Huan Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China |
title | Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China |
title_full | Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China |
title_fullStr | Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China |
title_full_unstemmed | Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China |
title_short | Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China |
title_sort | why is misdiagnosis more likely among some people with rare diseases than others? insights from a population-based cross-sectional study in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594300/ https://www.ncbi.nlm.nih.gov/pubmed/33115515 http://dx.doi.org/10.1186/s13023-020-01587-2 |
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