A Randomized Controlled Trial to Increase Breast Cancer Screening Uptake

Breast cancer (BC) is the fifth leading cause of cancer deaths in women worldwide. In Hong Kong (HK), BC is the most common cancer, ranking third in cancer deaths among females. International guidelines advocate regular mammographic screening for women aged 40-50 to 69-74, reducing BC mortality by 20%. The success and effectiveness of an organized cancer screening program are largely dependent on high adherence or uptake rates. However, nonadherence to BC screening is common and the suboptimal uptake rate remains a challenge, particularly in Asian countries. Conventional interventions are effective in increasing mammographic screening uptake but are time-consuming, labor-dependent, and expensive. Mobile messenger chatbots are a potential cost-saving tool for enhancing BC screening uptake because they involve only a one-off development cost and a small maintenance cost . Currently, most studies evaluating the effectiveness of mobile health interventions in improving mammography screening uptake have been conducted in Western populations . Health-seeking behaviors for cancer screening in the Chinese population differ from those of Caucasians because of differences in culture, health beliefs, and education, especially regarding breast-related diseases. Chinese women often feel embarrassed when talking with healthcare workers in person about breast health. Communicating with a fully automated chatbot can minimize embarrassment. Additionally, linguistically and culturally tailored interventions are effective in increasing cancer screening rates in the Chinese population. However, studies evaluating combined theory-based mHealth interventions to enhance BC screening uptake are scarce. Two theory-based WhatsApp chatbots were developed to promote CRC screening, and the longitudinal repeat fecal immunochemical test (FIT) adherence rate of a population-based CRC screening program in HK. These two chatbots used in investigator's previous studies had designs similar to that of the proposed chatbot, except for the health education materials. The chatbot design can be adopted directly with minor modifications to the workflow, replacement of content from CRC screening-related to BC screening-related, and culturally modified education materials. Consequently, the investigators can develop a new chatbot for this study at a lower cost and in a shorter time.

Sex

Female

Minimum age

44 Years

Maximum age

69 Years

Inclusion Criteria:

1. asymptomatic Chinese Women
2. 44-69 years old
3. eligible to enroll in a government-subsidized risk-stratified BC screening program
4. ability to read Chinese

Exclusion Criteria:

1. moderate- or high-risk women as defined by the local risk-stratified BC screening program
2. inability to provide informed consent
3. incomplete conversation with the chatbot.