Evidence map›Paper›PMID 39315252›Full record

ArticleResearch square2024

Participant experiences with a text message and contingency management intervention for alcohol use during pregnancy and lactation in Cape Town, South Africa.

Lesley-Ann Erasmus-Claassen, Noluthando Mpisane, Petal Petersen Williams, Felicia A Browne, Bronwyn Myers, Wendee M Wechsberg, Charles David Heber Parry, Shantae N Taylor, Yukiko Washio

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

5 · Who and what money

Authors and funding

9 authors.

Lesley-Ann Erasmus-ClaassenSouth African Medical Research Council.
Noluthando MpisaneSouth African Medical Research Council.
Petal Petersen WilliamsSouth African Medical Research Council.
Felicia A BrowneRTI International.
Bronwyn MyersSouth African Medical Research Council.
Wendee M WechsbergRTI International.
Charles David Heber ParrySouth African Medical Research Council.
Shantae N TaylorRTI International.
Yukiko WashioRTI International.

Funding

Mobile behavioral intervention to reduce maternal drinking in South AfricaR21AA029048 · NIAAA · RESEARCH TRIANGLE INSTITUTE · PI WASHIO, YUKIKO · 2021 to 2022
$347k
NIAAA NIH HHS R21 AA029048
6 · The paper itself

Abstract

Background: The Western Cape region of South Africa has one of the highest global rates of Fetal Alcohol Spectrum Disorder (FASD), underscoring the urgent need for effective interventions. This qualitative study explores pregnant and lactating participants' perceptions and experiences of a text message and contingency management (CM) intervention. Methods: The study involved post-intervention interviews with 10 pregnant participants and 10 post-partum lactating participants. Coding and a thematic analysis approach were applied to the collected data using NVivo 12. Results: Four main themes emerged from the analysis: (1) program experiences; (2) intervention components; (3) health behavior change; and (4) recommendations for program improvements. The participants valued financial incentives and health-promoting text messages, noting reduced alcohol consumption. Conclusion: The findings highlighted the potential benefits of the intervention in improving individuals' health behaviors. However, logistical barriers and the need for expanded support services were identified, emphasizing the importance of refining intervention strategies in resource-limited settings.

Indexed as

contingency managementFetal Alcohol Spectrum Disordersmaternal healthprenatal alcohol usetext messaging

Identifiers

PMID39315252
PMCPMC11419270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.