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. 2023 Oct 16;2(10):e0000358.
doi: 10.1371/journal.pdig.0000358. eCollection 2023 Oct.

Effects of digital chatbot on gender attitudes and exposure to intimate partner violence among young women in South Africa

Affiliations

Effects of digital chatbot on gender attitudes and exposure to intimate partner violence among young women in South Africa

Alexandra De Filippo et al. PLOS Digit Health. .

Abstract

Background: South Africa has among the highest rates of intimate partner violence (IPV) globally, with young women at heightened risk due to inequitable gender roles, limited relationship skills, and inadequate social support. Despite an urgent need for violence prevention in low- and middle-income settings, most efficacious approaches are time-intensive and costly to deliver. Digital, interactive chatbots may help young women navigate safer relationships and develop healthier gender beliefs and skills.

Methods: Young women (18-24 years old) across South Africa were recruited via Facebook for participation in an individually randomised controlled trial (n = 19,643) during the period of June 2021-September 2021. Users were randomly allocated, using a pipeline algorithm, to one of four trial arms: Pure Control (PC) had no user engagement outside of study measures; Attention Treatment (T0) provided didactic information about sexual health through a text-based chatbot; Gamified Treatment (T1) was a behaviourally-informed gamified text-based chatbot; Narrative Treatment (T2) was a behaviourally-informed drama delivered through pre-recorded voice notes. All chatbots were delivered in WhatsApp, through which users were invited to complete brief "quizzes" comprising adapted versions of validated scales. Primary outcomes were short-form adaptations of scales for gender attitudes (Gender Relations Scale) and past-month IPV (WHO Multi-country Study Instrument). Secondary outcomes were identification of unhealthy relationship behaviours (Intimate Partner Violence Attitudes Scale) and brief screener for depressive symptoms (Patient Health Questionnaire). A direct chat link to a trained counsellor was a safety measure (accessed by 4.5% of the sample). We estimated treatment effects using ordinary least squares and heteroskedasticity robust standard errors.

Findings: The trial retained 11,630 (59.2%) to the primary endpoint of gender attitudes. Compared to control, all treatments led to moderate and significant changes in attitudes towards greater gender equity (Cohen's D = 0.10, 0.29, 0.20 for T0, T1, and T2, respectively). The gamified chatbot (T1) had modest but significant effects on IPV: 56% of young women reported past-month IPV, compared to 62% among those without treatment (marginal effects = -0.07, 95%CI = -0.09to-0.05). The narrative treatment (T2) had no effect on IPV exposure. T1 increased identification of unhealthy relationship behaviours at a moderate and significant level (Cohen's D = 0.25). Neither T1 nor T2 had a measurable effect on depressive symptoms as measured by the brief screener. Interpretation: A behaviourally-informed, gamified chatbot increased gender equitable attitudes and was protective for IPV exposure among young women in South Africa. These effects, while modest in magnitude, could represent a meaningful impact given potential to scale the low-cost intervention.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Trial flow diagram.
Fig 2
Fig 2. Gender relations scale (T1, T2, and Attention Control compared to Control).
Fig 3
Fig 3. Past-month IPV exposure (T1 and T2 compared to Control).
Fig 4
Fig 4. Identification of unhealthy relationship behaviors (T1 and T2 compared to Attention Control).

References

    1. SA S. South Africa Demographic and Health Survey 2016: Key Indicator Report. Pretoria: Stats SA, 2018.
    1. Abrahams N, Mathews S, et al. Intimate partner femicide in South Africa in 1999 and 2009. PLoS Med. 2013;10(4):e1001412. doi: 10.1371/journal.pmed.1001412 - DOI - PMC - PubMed
    1. Groves AK, Gebrekristos LT, et al. Describing Relationship Characteristics and Postpartum HIV Risk Among Adolescent, Young Adult, and Adult Women in South Africa. Journal of Adolescent Health. 2020. doi: 10.1016/j.jadohealth.2019.12.008 - DOI - PMC - PubMed
    1. Shamu S, Gevers A, et al. Prevalence and risk factors for intimate partner violence among Grade 8 learners in urban South Africa: baseline analysis from the Skhokho Supporting Success cluster randomised controlled trial. Int Health. 2016;8(1):18–26. doi: 10.1093/inthealth/ihv068 - DOI - PubMed
    1. Closson K, Hatcher A, et al. Gender role conflict and sexual health and relationship practices amongst young men living in urban informal settlements in South Africa. Culture, Health & Sexuality. 2020;22(1):31–47. doi: 10.1080/13691058.2019.1568578 - DOI - PubMed

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