Evidence map›Paper›PMID 41592827›Full record

Trial reportBMJ open2026

Effects of small airtime rewards linked to unsolicited text messages on uptake of a tuberculosis self-screening app in South Africa: a randomised trial.

Kate Rich, Ronelle Burger, Andrew Boulle, Deanne Goldberg, Noxolo Gqada, Juan-Paul Hynek, Adam Loff, Pren Naidoo, Desi Nair, Arne von Delft and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kate RichDepartment of Economics, Stellenbosch University, Stellenbosch, South Africa kate.rich@wits.ac.za.ORCID http://orcid.org/0000-0003-4702-0183
Ronelle BurgerDepartment of Economics, Stellenbosch University, Stellenbosch, South Africa.
Andrew BoulleSchool of Public Health and Family Medicine, University of Cape Town, Rondebosch, South Africa.
Deanne GoldbergClinton Health Access Initiative, Johannesburg, South Africa.
Noxolo GqadaReach Digital Health, Cape Town, South Africa.
Juan-Paul HynekDepartment of Health and Wellness, Western Cape Provincial Government, Cape Town, South Africa.
Adam LoffDepartment of Health and Wellness, Western Cape Provincial Government, Cape Town, South Africa.
Pren NaidooPublic Health Management Consultant, Cape Town, South Africa.
Desi NairReach Digital Health, Cape Town, South Africa.
Arne von DelftSchool of Public Health and Family Medicine, University of Cape Town, Rondebosch, South Africa.
Matthias RiegerErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, Netherlands.

Funding

Gates Foundation INV-038097
6 · The paper itself

Abstract

objectivesThe objective of this study was to test whether an airtime reward increased tuberculosis (TB) Check screening uptake. This served as a feasibility study for the planned Phase 2, which aimed to test behavioural messaging to boost take-up of TB testing among users who were advised to get tested by TB Check.

designThe study was a randomised controlled trial with a parallel design.

settingThis study assessed mHealth support to boost TB testing in high-burden Cape Town clinics.

interventionPatients aged 18 or above with a valid mobile phone number that had been added within the last 5 years were invited by the Western Cape Department of Health and Wellness through unsolicited text messages to screen for TB using TB Check.

participantsPatients in the intervention group (n=1250) were additionally offered R15 airtime for completing the screening and participating in the research study. Patients were allocated to the intervention or control group through parallel randomisation with equal group size. PRIMARY OUTCOME MEASURES: The primary outcome was the number of TB Check screenings completed within 1 week of the SMS invitation being sent.

resultsMessages were successfully delivered to 616 patients in the control group and 633 patients in the intervention group. Uptake of the invitation by the intended recipients was very low. Eight users in the control group and 20 users in the intervention group initiated a self-screening (1.3% vs 3.2% of delivered messages; 95% CI of difference (0.2 to 3.5)), but only three users in the control group and seven users in the intervention group successfully completed a self-screening (0.49% vs 1.11% of delivered messages; 95% CI of difference (-0.4 to 1.6)). Low delivery of text message invitations (50.0%) and low completion of users who started the screening (35.7%) posed additional challenges. No adverse events were recorded.

conclusionsThe addition of a small airtime participation reward to unsolicited text message invitations did not appear to be an effective tool to reach targeted individuals in this context. The results of Phase 1 reported here suggested that Phase 2 would not be feasible, so we did not proceed with the planned Phase 2. However, uptake of incentivised self-screening was unexpectedly high among users who were not originally invited (presumably known contacts of the original invitees). Within 5 days of the invitations being sent, 1962 unique self-screenings had taken place using the incentive code; only 7 of these users were originally invited. The lessons learnt from this study can help to inform future efforts to promote TB self-screening, mHealth initiatives and attempts to engage with patients via text message. 

trial registrationThe study was pre-registered with the South African National Clinical Trials Registry (Phase 1 trial no DOH-27-112023-9045, Phase 2 trial no DOH-27-112023-4944) and the Pan African Clinical Trials Registry (Phase 1 trial no PACTR202311529334858).

Indexed as

Mass ScreeningMobile ApplicationsPatient Acceptance of Health CareRewardText MessagingTuberculosisAdultFeasibility StudiesFemaleHumansMaleMiddle AgedSouth AfricaTelemedicineDigital TechnologyMass ScreeningSelf-Help DevicesTuberculosis

Identifiers

PMID41592827
PMCPMC12853474

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.