ClinicalTrials.gg
RecruitingNCT07234929Updated Sep 16, 2026

Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance With Follow-up Tests After Abnormal Chest X-ray Findings Interpret by Artificial Intelligent

An interventional study of chat-based mobile application (Zalo) in Lung Cancer, Tuberculosis (TB) and Chat-based Mobile Application, sponsored by Gia Dinh People Hospital. Recruiting at 1 site in Vietnam. Open to participants aged 40 Years to 62 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-16.

Sponsored by Gia Dinh People Hospital · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
2,692
Allocation
Randomized
Ages
40 Years to 62 Years
Sex
All
01

Study summary

The study titled "Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance with Follow-up Tests after Abnormal Chest X-ray Findings Interpreted by Artificial Intelligence" aims to evaluate whether digital communication can enhance patient adherence to follow-up evaluations after lung disease screening in Vietnam.

Lung cancer and tuberculosis (TB) remain leading causes of morbidity and mortality in Vietnam. Despite advances in screening technologies, including low-dose CT and AI-assisted chest X-rays, many patients fail to follow up after receiving abnormal results, resulting in delayed diagnosis and treatment. Communication barriers, low health literacy, and limited consultation time are key factors behind this gap. Digital health tools such as chat-based mobile applications offer potential to strengthen post-screening engagement and improve health outcomes.

This randomized controlled trial will be conducted at Nhan Dan Gia Dinh Hospital in Ho Chi Minh City between October 2025 and October 2026. Participants aged 40-62 years, who undergo routine chest X-ray screening interpreted by AI software (qXR by QURE.AI), will be randomly assigned to either the intervention or control group. All participants must have an active Zalo account.

In the intervention group, participants will receive their AI-interpreted results and educational guidelines for lung cancer or TB through the research team's Zalo account. The guideline covers disease overview, diagnostic methods, follow-up recommendations, and lifestyle guidance. Participants may ask questions directly to doctors specializing in nutrition, respiratory medicine, and pulmonary pathology, with guaranteed responses within 4 hours during working hours and 10 hours after hours. Messages are also sent via email as backup. The hospital's IT department oversees the Zalo platform to ensure data security.

In the control group, participants will receive only the doctor's conclusion and brief advice via Zalo and email. They will be invited to connect with the hospital's official Zalo account for general inquiries but will not receive further digital consultation.

Follow-up calls will assess compliance. For positive or suspected cases, research staff will call one month after result notification to confirm whether participants completed follow-up tests. For negative cases, calls will occur at six months to check for new symptoms or additional imaging. Structured questionnaires will document reasons for compliance or noncompliance. The study does not provide additional diagnostic services; all follow-up costs are covered by participants or their health insurance.

The primary outcome is the rate of compliance with recommended follow-up tests. The secondary outcome measures participants' responsiveness to follow-up phone calls. Statistical analyses will compare compliance rates between groups using chi-square or Fisher's exact tests and risk ratios with 95% confidence intervals.

Sample size calculations estimate that 2,692 participants are required to detect a 10% improvement in follow-up compliance (from 85% to 95%) with 80% power and 5% significance. Randomization will use REDCap software with block sizes of 2-8. Interviewers conducting follow-up calls will be blinded to group allocation.

Ethical approval will be obtained from the Nhan Dan Gia Dinh Hospital Ethics Committee, and the study will be registered at ClinicalTrials.gov. Data confidentiality will be strictly maintained, with all digital records password-protected and accessible only to authorized research members.

This project is the first randomized controlled trial in Vietnam to evaluate the effectiveness of chat-based mobile consultation in improving post-screening compliance for lung diseases. It leverages Vietnam's high mobile phone penetration and the popularity of Zalo to create a scalable model for patient engagement. Expected benefits include improved communication, increased awareness of lung cancer and TB, reduced loss to follow-up, and faster diagnostic confirmation.

The findings will provide scientific evidence for integrating digital communication into screening programs and contribute to national efforts to improve early detection and management of lung diseases.

02

Conditions studied

  • Lung Cancer
  • Tuberculosis (TB)
  • Chat-based Mobile Application
  • Compliance Behavior
  • Artificial Intelligence in Radiology
03

In context

Lung Neoplasms

5,422 studies on the registry are indexed under Lung Neoplasms; 1,346 are open to participants now.

This study's planned enrollment of 2,692 is above the median of 60 across 3,656 interventional studies indexed under Lung Neoplasms.

Browse Lung Neoplasms studies →

Lead sponsor

Gia Dinh People Hospital is the lead sponsor of 13 studies on the registry; 4 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 62 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Individuals aged 40 to 62 years old and are still working
  • In risk population, which means they exposure at least 2 risk factors of lung cancer, following:

    • smoking
    • expose second-hand smoke
    • expose air pollution, bio-mass fuels
    • expose arsenic
    • expose radon
    • expose asbestos
    • having chronic pulmonary illness
    • having
    • have family member's history of lung cancer (relatives within 3 generations)
  • Have mobile phone registered Zalo account

Exclusion criteria

Exclusion Criteria:

  • Individual smoked or had history of smoking more than 30 packs per year because they will be advised to do low dose CT scan. That is based on the guideline from Vietnam Misnitry of Health101
  • Pregnant woman. It is for safety reason because research team will recommend the (+) cases or (-) cases with symptoms do LDCT or CT scan for lung cancer, that can affect the pregnancy. Therefore, if they are pregnant, research team will invite them to meet obstetricians.
  • History of lung cancer or TB
  • Who have problem in mental health is diagnosed by doctor.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

HIV

The human immunodeficiency virus, which weakens the immune system.

Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.

05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
2,692 participants (estimated)

Study arms

  • Experimental
    Intervention group

    Participants receive lung disease screening (chest x-ray interpreted by AI) announcements and educational guidelines via the study's Zalo app account (and by email as backup). Guidelines include information on disease overview, diagnosis, follow-up, and healthy behavior for TB or lung cancer will also be provided to participants. Furthermore, doctors in nutrition, respiratory, and pulmonary fields answer participants' related respiratory illness questions within 4 hours in working time and 10 hours after, supervised by coordinators and the PI. The Zalo platform is research-managed but monitored by hospital IT. Research team will follow-up one month for positive result cases and 6 months for negative result cases. A structured questionnaire will be interviewed by phone call for reasons for doing follow-up tests or not. Diagnostic tests and costs are participants' responsibility per health insurance or self-payment.

    Other: chat-based mobile application (Zalo)

  • No intervention
    Control group

    Participants receive lung disease screening (chest x-ray interpreted by AI) announcements and doctor's advice via the study's Zalo app account (and by email as backup). If they have any question related to their health issues, they will be invited to connect to Nhan dan Gia Dinh hospital's official Zalo account (separately from research team's Zalo account). Research team will also follow-up one month for positive result cases and 6 months for negative result cases. A structured questionnaire will be interviewed by phone call for reasons for doing follow-up tests or not. Diagnostic tests and costs are participants' responsibility per health insurance or self-payment. in summary, the control group won't recieve guildelines about the illness which provided by research team and chat-based support for respiratory illness compare to intervention group

Interventions

  • Otherchat-based mobile application (Zalo)

    this intervention are chat-based activities (including providing illness guidelines and chat-based environment) to encourage participants to compliance doctor's recommendation to do early further tests if they have positive lung disease screening result or they develop lung disease symptoms which suspected to lung cancer or TB

06

What researchers measure

Primary outcomes

  1. compliance rate of the follow-up test(s)

    The main outcome of this study is the compliance rate of the follow-up test(s). This mean participants doing follow-up tests over the period of one month for positive cases and 6 months for negative cases. For outcome ascertainment, it is considered importantly to verify the clinical status using hospital medical records for patients who continued lung disease follow tests. Reliance on telephone interviews alone may lead to misclassification. Therefore, research team will try to make confirmation through review of existing medical records should be conducted, particularly for those who did in our healthcare facility. For those did in another healthcare facilities, research team will try to encourage them to provide the health record if possible.

    Time frame: one month for positive cases, 6 months for negative cases

Secondary outcomes

  1. compliance rate of responding to phone call

    Receiving the call from the medical research team is one of necessary key outcomes for evaluating the compliance. Therefore, if the participants refused or missed the call from the medical team for the follow-up time (maybe 3 times), research team will consider as non-compliance. However, research team will also try to contact their relatives to ensure that no health issues for them (for instance: accident and death), if research team can't find any information, research team will mark them as non- compliance

    Time frame: one month for positive cases, 6 months for negatives cases

07

Study locations

1 of 1 sites recruiting
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Sep 2026; primary completion for Dec 2027, 15 months later.

Of 864 non-industry interventional studies with no phase under Lung Neoplasms, half reached primary completion within 35 months of starting (the median), counting those still running; a quarter within 16 and three quarters within 68. This study's planned 15 months is below that.

Counting every sponsor, half of 915 studies reached it within 34 months; a quarter within 15 and three quarters within 67.

How these figures are worked out, and which studies are left out of them.

Registered
Nov 14, 2025
First posted
Nov 19, 2025
StartEst.
Sep 15, 2026
Primary completionEst.
Dec 30, 2027
CompletionEst.
Dec 30, 2027
Last update
Sep 16, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 16, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07234929
Lead sponsor
Gia Dinh People Hospital
Responsible party
Sponsor
First posted
Nov 19, 2025
Start date
Sep 15, 2026 (estimated)
Primary completion
Dec 30, 2027 (estimated)
Completion
Dec 30, 2027 (estimated)
Last update
Sep 16, 2026

Study contacts

Kiet Anh Vu, MPH
Contact
kietva@bvndgiadinh.org.vn
+84962762479
Kiet Anh Vu, MPH
principal investigator · Nhan dan Gia Dinh Hospital

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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