Data_Sheet_1_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.PDF
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.
MethodsQuestionnaires 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.
ResultsA 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.
ConclusionThe 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.
History
Usage metrics
Categories
- Aboriginal and Torres Strait Islander Health
- Aged Health Care
- Care for Disabled
- Community Child Health
- Environmental and Occupational Health and Safety
- Epidemiology
- Family Care
- Health and Community Services
- Health Care Administration
- Health Counselling
- Health Information Systems (incl. Surveillance)
- Health Promotion
- Preventive Medicine
- Primary Health Care
- Public Health and Health Services not elsewhere classified
- Medicine, Nursing and Health Curriculum and Pedagogy
- Nanotoxicology, Health and Safety
- Mental Health Nursing
- Midwifery
- Nursing not elsewhere classified