Impact of a Text-Messaging Program on Adolescent Reproductive Health
A Cluster–Randomized Trial in Ghana
Bibliographic Data
Objectives. To evaluate whether text-messaging programs can improve reproductive health among adolescent girls in low- and middle-income countries. Methods. We conducted a cluster–randomized controlled trial among 756 female students aged 14 to 24 years in Accra, Ghana, in 2014. We randomized 38 schools to unidirectional intervention (n = 12), interactive intervention (n = 12), and control (n = 14). The unidirectional intervention sent participants text messages with reproductive health information. The interactive intervention engaged adolescents in text-messaging reproductive health quizzes. The primary study outcome was reproductive health knowledge at 3 and 15 months. Additional outcomes included self-reported pregnancy and sexual behavior. Analysis was by intent-to-treat. Results. From baseline to 3 months, the unidirectional intervention increased knowledge by 11 percentage points (95% confidence interval [CI] = 7, 15) and the interactive intervention by 24 percentage points (95% CI = 19, 28), from a control baseline of 26%. Although we found no changes in reproductive health outcomes overall, both unidirectional (odds ratio [OR] = 0.14; 95% CI = 0.03, 0.71) and interactive interventions (OR = 0.15; 95% CI = 0.03, 0.86) lowered odds of self-reported pregnancy for sexually active participants. Conclusions. Text-messaging programs can lead to large improvements in reproductive health knowledge and have the potential to lower pregnancy risk for sexually active adolescent girls
Adolescent health · Biology · Cluster (spacecraft) · Cluster randomised controlled trial · Confidence interval · Environmental health · Family medicine · Intervention (counseling) · Logistic regression · Odds · Odds ratio · Population · Pregnancy · Psychological intervention · Randomized controlled trial · Reproductive health · Adolescent Sexual and Reproductive Health · Demography · ICT in Developing Communities · Internal Medicine · Medicine · Mobile Health and mHealth Applications · Nursing
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| Citations per year | 1.33 |
|---|---|
| Citation span | 2017 - 2026 (10) |
| Highly cited | No |