NCT07840989

Brief Summary

Building on recent developments in the sphere of digital health and data science, as well as the principles of usability engineering, we propose to assess the usability of a digital tool called mTBscreen for tuberculosis (TB) screening and triage. The investigators will evaluate the ease-of-use, usability and preliminary acceptability of the tool when used by healthcare workers. This will inform the design and implementation of its use in an effectiveness-implementation study in lower health care levels for the identification of individuals at high risk of TB

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Sep 2024

Geographic Reach
1 country

4 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

September 20, 2024

Completed
7 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 27, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 27, 2024

Completed
1.9 years until next milestone

First Submitted

Initial submission to the registry

August 5, 2026

Completed
2 months until next milestone

First Posted

Study publicly available on registry

September 25, 2026

Completed
Last Updated

September 25, 2026

Status Verified

September 1, 2026

Enrollment Period

7 days

First QC Date

August 5, 2026

Last Update Submit

September 24, 2026

Conditions

Keywords

TuberculosismTBscreenDigital toolUsability

Outcome Measures

Primary Outcomes (1)

  • Identify critical aspects to achieve adoption and sustained use of these tools in the intended setting

    Critical factors influencing the adoption and sustained use of the tools in the intended setting will be assessed using structured observations and in-depth interviews (IDIs). Data will be analysed thematically to identify key barriers, facilitators, usability considerations, workflow challenges, acceptability, and other factors affecting adoption and sustained use of the tools

    12 months after implementation begins

Secondary Outcomes (1)

  • Explore the relative advantage of the tools and their potential integration into the workflow at health facilities in Zambia.

    12 months after implementation begins

Study Arms (1)

Health Care Workers

Healthcare workers aged 18 years or older who are involved in the care of individuals with presumptive tuberculosis (TB) and provide informed consent to participate. Participants include clinical officers, nurses, physicians, and community or lay healthcare workers recruited from five health facilities in Lusaka, Zambia. Participants use the mTBScreen v1.0 digital TB screening application to complete standardized usability tasks, followed by a think-aloud exercise, the System Usability Scale (SUS) questionnaire, and a semi-structured interview. The intervention of interest is the use of the mTBScreen application to assess its usability, acceptability, workflow integration, and user experience among intended end users.Hea

Other: mTBscreen ApplicationDevice: Mobile phone Application

Interventions

The mTBscreening tool, a digital application designed to support tuberculosis (TB) screening and triage, will be assessed for its usability in line with recent advancements in digital health, data science, and usability engineering principles. This study will evaluate the tool's ease of use, overall usability, and preliminary acceptability among healthcare workers. Findings from this assessment will inform the design and implementation of a subsequent effectiveness-implementation study aimed at identifying individuals at high risk of TB in lower levels of the healthcare system

Health Care Workers

The mTBscreen app is a smartphone-based tuberculosis (TB) screening application that uses a machine learning (ML) algorithm to estimate an individual's risk of having active TB based on clinical, demographic, and epidemiological information

Also known as: mTB screen App
Health Care Workers

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Participants will be healthcare workers (\>18 years old) who provide care for persons with TB. This will include clinical officers, nurses, or physicians, and also lay/volunteer healthcare workers. In general, we seek to include persons similar to the intended end users of the mTBscreen tool. Participants will be recruited from five healthcare facilities, namely Kanyama General Hospital, Chawama General Hospital, Chilenje General Hospital, Chipata Level 1 Hospital, and Matero Level 1 Hospital.

You may qualify if:

  • Aged 18 years or older
  • Healthcare worker involved in the care of persons with presumptive TB
  • Providing informed consent

You may not qualify if:

  • Do not agree with recording of the interview

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (4)

Chawama level one Hospital

Lusaka, 10101, Zambia

Location

Chilenje level one Hospital

Lusaka, 10101, Zambia

Location

Kanyama level one Hospital

Lusaka, 10101, Zambia

Location

Matero level one Hospital

Lusaka, 10101, Zambia

Location

MeSH Terms

Conditions

Tuberculosis

Condition Hierarchy (Ancestors)

Mycobacterium InfectionsActinomycetales InfectionsGram-Positive Bacterial InfectionsBacterial InfectionsBacterial Infections and MycosesInfections

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 5, 2026

First Posted

September 25, 2026

Study Start

September 20, 2024

Primary Completion

September 27, 2024

Study Completion

September 27, 2024

Last Updated

September 25, 2026

Record last verified: 2026-09

Data Sharing

IPD Sharing
Will not share

Locations