Table 1.
Table of results.
| Study | Date | Title | Source type | Source country | Study design | Chatbot name |
| Bonnevie et al [16] | 2021 | Layla’s Got You: developing a tailored contraception chatbot for Black and Hispanic young women | Peer-reviewed journal article | United States | Development report | Layla’s Got You |
| Brannock et al [17] | 2019 | Investigating attitudes and preferences towards a chatbot pregnancy guide within Facebook’s social media platform amongst pregnant women in Kenya | Gray literature: thesis | Kenya | Development report | Mama Support |
| Chernick et al [18] | 2021 | The perspectives of women and their health-care providers regarding using an ECA to support mode of birth decisions | Peer-reviewed journal article | United States | Qualitative study | Dr Erica |
| Green et al [19] | 2022 | Predicting health care-seeking behavior based on stated readiness to act: development and validation of a prediction model. | Peer-reviewed journal article | Kenya | Model development report | Ask Nivi |
| Handforth and Bertermann [20] | 2018 | How Girl Effect built a chatbot | Gray literature: technical report | South Africa | Development report | Big Sis |
| Hussain et al [21] | 2019 | Mobile phone-based chatbot for family planning and contraceptive information | Gray literature: conference paper | United States | Feasibility study | Name not reported |
| Woo et al [22] | 2020 | Development of conversational artificial intelligence for pandemic healthcare query support | Peer-reviewed journal article | United Kingdom | Development report | Akira |
| Maeda et al [23] | 2020 | Promoting fertility awareness and preconception health using a chatbot: a randomized controlled trial | Peer-reviewed journal article | Japan | RCTa | Name not reported |
| Nadarzynski et al [24] | 2021 | Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis | Peer-reviewed journal article | United Kingdom | Qualitative interview study | Pat |
| Population Services International [25] | 2019 | Will access to sex-positive and reproductive health information through a chatbot lead to increased contraceptive use amongst Kenyan youth? | Website article | Kenya | Development report | Pleasure Bot |
| Rahman et al [26] | 2021 | AdolescentBot: Understanding opportunities for chatbots in combating adolescent sexual and reproductive health problems in Bangladesh | Peer-reviewed journal article | Bangladesh | Development report | AdolescentBot |
| Wang et al [27] | 2022 | An artificial intelligence chatbot for young people’s sexual and reproductive health in India (SnehAI): instrumental case study | Peer-reviewed journal article | India | Instrumental case study | SnehAI |
| Wilson et al [28] | 2017 | In bed with Siri and Google Assistant: a comparison of sexual health advice | Gray literature: short report | Not context specific | Short report | Siri and Google Assistant |
| Winskell et al [29] | 2021 | Building a chatbot for health content? This is for you. | Website article | Nigeria and Uganda | N/Ab | Tina |
| Work & Co [30] | 2022 | Planned parenthood case study | Website article | United States | Development report | Ask Roo |
aRCT: randomized controlled trial.
bN/A: not applicable.