Barriers to Low-Dose CT Lung Cancer Screening among Middle-Aged Chinese

Author:

Jia Qike,Chen HongliangORCID,Chen XueweiORCID,Tang Qichuan

Abstract

Purpose: The current study aims to explore the barriers for middle-aged Chinese to learn about and uptake low-dose computed tomography (LDCT) lung cancer screening. Methods: Data were collected via an online survey in December 2019. Final valid sample included 640 respondents, aged 40–60 years old, from 21 provinces of China. We performed multiple linear regressions to test the potential barriers to LDCT scan. Findings: Cost concerns, distrust in doctors, fears of disease, lack of knowledge, and optimistic bias are negatively associated with the intention to learn about and uptake LDCT scan. Implications: Our study contributes to understanding the negative predictors of middle-aged Chinese to get LDCT lung cancer scans. Future campaign programs should help audiences to build comprehensive understandings about lung cancer and LDCT scan. To better promote LDCT scan in China, the government should fund more trial programs continuously and public efforts should be made to rebuild the patient–doctor trust.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference67 articles.

1. Cancer incidence and mortality in China, 2014

2. Cancer statistics in China, 2015

3. Financing Lung Cancer Screening in China,2017

4. Report of cancer epidemiology in China, 2015;Zheng;Chin. J. Oncol.,2019

5. Emerging tobacco-related cancer risks in China: A nationwide, prospective study of 0.5 million adults

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