Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions : data from a community-based study in Xi'an, China
Copyright © 2024 Liu, Zhao, Qiao, Yang, Yang, Zhang, Wu and Han..
Aims: The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public health decision-making and services.
Methods: Questionnaires were administered to collect self-reported chronic condition prevalence among the study participants, while physical examinations and laboratory tests were conducted for clinical assessment. For each of the eight chronic conditions, the sensitivity, specificity, under-reporting, over-reporting, and agreement were calculated. Log-binomial regression analysis was employed to identify potential factors that may influence the consistency of chronic condition reporting.
Results: A total of 2,272 participants were included in the analysis. Four out of the eight chronic conditions displayed under-reporting exceeding 50%. The highest under-reporting was observed for goiter [85.93, 95% confidence interval (CI): 85.25-86.62%], hyperuricemia (83.94, 95% CI: 83.22-84.66%), and thyroid nodules (72.89, 95% CI: 72.02-73.76%). Log-binomial regression analysis indicated that senior age and high BMI were potential factors associated with the under-reporting of chronic condition status in the study population.
Conclusion: The self-reported disease diagnosis by respondents and clinical assessment data exhibit significant inconsistency for all eight chronic conditions. Large proportions of patients with multiple chronic conditions were under-reported in Xi'an, China. Combining relevant potential factors, targeted health screenings for high-risk populations might be an effective method for identifying under-reporting patients.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
Frontiers in public health - 12(2024) vom: 12., Seite 1296939 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Liu, Haobiao [VerfasserIn] |
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| Links: |
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| Themen: |
Chronic condition |
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| Anmerkungen: |
Date Completed 01.02.2024 Date Revised 01.02.2024 published: Electronic-eCollection Citation Status MEDLINE |
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| doi: |
10.3389/fpubh.2024.1296939 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367832283 |
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| 500 | |a Date Revised 01.02.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 Liu, Zhao, Qiao, Yang, Yang, Zhang, Wu and Han. | ||
| 520 | |a Aims: The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public health decision-making and services | ||
| 520 | |a Methods: Questionnaires were administered to collect self-reported chronic condition prevalence among the study participants, while physical examinations and laboratory tests were conducted for clinical assessment. For each of the eight chronic conditions, the sensitivity, specificity, under-reporting, over-reporting, and agreement were calculated. Log-binomial regression analysis was employed to identify potential factors that may influence the consistency of chronic condition reporting | ||
| 520 | |a Results: A total of 2,272 participants were included in the analysis. Four out of the eight chronic conditions displayed under-reporting exceeding 50%. The highest under-reporting was observed for goiter [85.93, 95% confidence interval (CI): 85.25-86.62%], hyperuricemia (83.94, 95% CI: 83.22-84.66%), and thyroid nodules (72.89, 95% CI: 72.02-73.76%). Log-binomial regression analysis indicated that senior age and high BMI were potential factors associated with the under-reporting of chronic condition status in the study population | ||
| 520 | |a Conclusion: The self-reported disease diagnosis by respondents and clinical assessment data exhibit significant inconsistency for all eight chronic conditions. Large proportions of patients with multiple chronic conditions were under-reported in Xi'an, China. Combining relevant potential factors, targeted health screenings for high-risk populations might be an effective method for identifying under-reporting patients | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a chronic condition | |
| 650 | 4 | |a clinical assessment | |
| 650 | 4 | |a community-based survey | |
| 650 | 4 | |a self-report | |
| 650 | 4 | |a under-reporting | |
| 700 | 1 | |a Zhao, Yanru |e verfasserin |4 aut | |
| 700 | 1 | |a Qiao, Lichun |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Congying |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Tianxiao |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Qian |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Jing |e verfasserin |4 aut | |
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