Evidence map›Paper›PMID 40639841›Full record

ArticleBMJ open2025

Theory-based chatbot for promoting colorectal cancer screening in a community setting in Hong Kong: study protocol of a randomised controlled trial.

Yue Hu, Wai Man Lau, Zixin Johnson Wang, Raymond Shing Yan Tang, Xixin Wu, Phoenix Kit Han Mo, Samuel Yeung Shan Wong, Mei Ling Helen Meng, Dong Dong, Joseph Jao You Sung and 1 more

Erratum issued Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06192862 (Effectiveness of Theory-based Outreach Using Mobile Health Technology in Colorectal Cancer Screening Uptake), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06192862 nacompletednot on this map

Effectiveness of Theory-based Outreach Using Mobile Health Technology in Colorectal Cancer Screening Uptake: a Randomized Controlled Trial

TypeinterventionalSponsorChinese University of Hong KongRan2024 to 2025Enrolled500ConditionsColorectal CancerArmsAssessment of screening intention and Transtheoretical Model stages for CRC screening
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yue HuThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID http://orcid.org/0000-0002-8791-4512
Wai Man LauInstitute of Digestive Diseases, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Zixin Johnson WangJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Raymond Shing Yan TangInstitute of Digestive Diseases, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Xixin WuStanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Phoenix Kit Han MoJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Samuel Yeung Shan WongJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Mei Ling Helen MengDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China.
Dong DongJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Joseph Jao You SungInstitute of Digestive Diseases, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Thomas Yuen Tung LamThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong, People's Republic of China thomaslam@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-4306-4990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer mortality worldwide. Despite the organised CRC screening programme, the uptake rate of the population-based CRC screening was still low. Thus, we will conduct a randomised controlled trial in a community setting to evaluate the effectiveness of a theory-based chatbot in promoting CRC screening uptake. METHODS AND ANALYSIS: A total of 500 eligible participants will be randomly assigned to a WhatsApp Messenger-initiated chatbot outreach group or a standard text reminder group at a ratio of 1:1. The intervention group will deliver Chinese culturally tailored education texts and videos developed based on the Health Belief Model and the Trans-Theoretical Model. The control group will deliver a standard text reminder of information about the Hong Kong organised CRC screening programme. In addition to the baseline assessment and postintervention assessment, all subjects will be followed up for 3 months and 6 months, respectively. The primary outcome will be the CRC screening uptake rate at the 3 month and 6 month follow-up. The secondary outcomes will be the intention to undergo CRC screening uptake, time interval to participate in and complete screening after recruitment, and reasons for not participating in screening at the 3 month and 6 month follow-up. Quantitative data will be analysed using Student's t-test, Pearson's χ ETHICS AND DISSEMINATION: Ethical approval of this trial was granted by the Joint Chinese University of Hong Kong-New Territories East Cluster Clinical Research Ethics Committee (2022.614). Written informed consent will be obtained from study participants before enrolment. The findings will be disseminated through peer-reviewed journals. TRIAL REGISTRATION NUMBER: The study was registered on clinicaltrials.gov (NCT06192862).

Indexed as

Colorectal NeoplasmsEarly Detection of CancerHealth PromotionMass ScreeningFemaleGenerative Artificial IntelligenceHong KongHumansMaleRandomized Controlled Trials as TopicText MessagingArtificial IntelligenceMass ScreeningRandomized Controlled Trial

Identifiers

PMID40639841
PMCPMC12258346

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.