Evidence map›Paper›PMID 38389481›Full record

Trial reportJournal of global health2024

Effectiveness of combined interventions to empower girls and address social norms in reducing child marriage in a rural sub-district of Bangladesh: A Cluster Randomised Controlled Trial of the Tipping Point Initiative.

Ruchira Tabassum Naved, Sultan Mahmud, Mahfuz Al Mamun, Kausar Parvin, Sadhvi Kalra, Anne Laterra, Anne Sprinkel

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03965273 (A Cluster Randomized Controlled Trial for Measuring the Impact of Tipping Point - an Intervention Addressing Child Marriage in Selected District of Bangladesh), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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.

NCT03965273 naunknown statusnot on this map

A Cluster Randomized Controlled Trial for Measuring the Impact of Tipping Point - an Intervention Addressing Child Marriage in Selected District of Bangladesh

TypeinterventionalSponsorInternational Centre for Diarrhoeal Disease Research, BangladeshRan2018 to 2022Enrolled2,699ConditionsChild MarriageArmsFull TP, Light TP
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

7 authors at 2 institutions in 2 countries.

Ruchira Tabassum NavedMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Sultan MahmudMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Mahfuz Al MamunMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Kausar ParvinMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Sadhvi KalraCARE USA, Atlanta, Georgia, USA.
Anne LaterraCARE USA, Atlanta, Georgia, USA.
Anne SprinkelCARE USA, Atlanta, Georgia, USA.
International Centre for Diarrhoeal Disease Research · BDCARE USA · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elimination of girl child marriage (CM) globally at the current pace is projected to take about 300 years. Thus, innovative and effective solutions are urgently warranted. Bangladesh reports one of the highest rates of CM in the world. We present the impact of Tipping Point Initiative (TPI), a combined intervention to empower girls and to address social norms on CM in Bangladesh. Methods: A three-arm non-blinded Cluster Randomised Controlled Trial was conducted in 51 villages/clusters in a sub-district of Bangladesh. Clusters were randomly assigned to the arms: Tipping Point Program (TPP), Tipping Point Program Plus (TPP+), and Pure Control. TPP conducted 40 weekly single-gender group sessions with never-married adolescent girls and boys recruited at 12 -<16 years; and 18-monthly gender-segregated group sessions with the parents. On top of TPP, TPP+ included cross-gender and -generation dialogues, girls' movement building and girl-led community sensitisation. Intention-to-treat analysis was performed to assess the impact of TPI on the hazard of CM, the primary outcome. The impact of girls' session attendance on CM was also assessed. At baseline 1275 girls (TPP = 412; TPP+ = 420; Control = 443) were interviewed between February-April 2019. At endline 1123 girls (TPP = 363; TPP + = 366; Control = 394) were interviewed and included in the analyses. Results: No intervention impact was detected on the full sample (TPP vs. Control: adjusted hazard ratio (aHR) = 1.14; 95% CI = 0.79-1.63, P = 0.47), (TPP + vs. Control: aHR = 1.24; 95% CI = 0.89-1.71, P = 0.19, (TPP vs. TPP+: aHR = 1.03; 95% CI = 0.72-1.47, P = 0.87). However, in the TPP arm, the hazard of CM was reduced by 54% (aHR = 0.46; 95% CI = 0.23-0.92, P = 0.03) among the girls in the highest tertile of session attendance, compared to the lowest. In the TPP+ arm, this hazard was reduced by 49% (aHR = 0.51; 95% CI = 0.23-0.92, P = 0.03) among girls in the highest tertile, compared to the lowest tertile. Conclusions: Although TPI did not show an effect on CM in any of the intervention arms, within each intervention arm, a positive effect was detected in reducing CM among girls in the highest tertile of session attendance despite implementation challenges due to COVID-19. Registration: Clinicaltrials.gov: NCT03965273; Date: 29 May 2019.

Indexed as

MarriageSocial NormsAdolescentBangladeshChildFemaleHumansMale

Identifiers

PMID38389481
PMCPMC10903545
OpenAlexW4392109712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.