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Community-based multiple screening model: design, implementation, and analysis of 42,387 participants
Tony Hsiu-Hsi Chen1, Yueh-Hsia Chiu, Dih-Ling Luh
1Institute of Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan. stony@episerv.cph.ntu.edu.tw
Cancer
|April 10, 2004
Summary
Community-based multiple disease screening increases attendance and detects early asymptomatic cancers. This integrated approach also reveals links between non-neoplastic chronic diseases and cancer risk.
Area of Science:
- Public Health
- Preventive Medicine
- Epidemiology
Background:
- Multiple disease screening offers advantages over single screenings, including cost-effectiveness and improved detection rates.
- Integrated screening can simultaneously identify multiple diseases and risk factors, enhancing patient attendance and follow-up efficiency.
Purpose of the Study:
- To evaluate an integrated community-based multiple screening model.
- To assess the impact of multiple disease screening on attendance rates and early disease detection.
Main Methods:
- An integrated community-based multiple screening program was conducted from 1999-2001 in Keelung, Taiwan.
- The program utilized a Papanicolaou (Pap) smear screening as a foundation, incorporating screening for four neoplastic and three non-neoplastic chronic diseases.
- Screening protocols were evidence-based, aligning with national policies.
Main Results:
- 42,387 subjects participated, showing a 25% increase in Pap smear screening attendance.
- The program identified 677 asymptomatic neoplasms (16.0 per 1000), including many precancerous and early-stage tumors.
- A significant association was found between neoplasms and comorbid non-neoplastic chronic diseases (OR, 1.64; P < 0.05).
- Metabolic syndrome was identified in 5314 subjects, correlating with increased risk for colorectal and oral neoplasias.
Conclusions:
- Community-based multiple screening effectively increases attendance rates.
- The program demonstrates a high yield for simultaneously detecting early cases of various diseases.
- This approach facilitates the study of correlations between neoplastic and non-neoplastic chronic diseases.