Chatbots That Deliver Contraceptive Support: Systematic Review.

Background: A chatbot is a computer program that is designed to simulate conversation with humans. Chatbots may offer rapid, responsive, and private contraceptive information; counseling; and linkages to products and services, which could improve contraceptive knowledge, attitudes, and behaviors.

Objective: This review aimed to systematically collate and interpret evidence to determine whether and how chatbots improve contraceptive knowledge, attitudes, and behaviors.

Chatbots to Improve Sexual and Reproductive Health: Realist Synthesis.

Background: Digital technologies may improve sexual and reproductive health (SRH) across diverse settings. Chatbots are computer programs designed to simulate human conversation, and there is a growing interest in the potential for chatbots to provide responsive and accurate information, counseling, linkages to products and services, or a companion on an SRH journey.

Objective: This review aimed to identify assumptions about the value of chatbots for SRH and collate the evidence to support them.

A Systematic Review of Apps using Mobile Criteria for Adolescent Pregnancy Prevention (mCAPP).

Background: Adolescents in the United States and globally represent a high-risk population for unintended pregnancy, which leads to high social, economic, and health costs. Access to smartphone apps is rapidly increasing among youth, but little is known about the strategies that apps employ to prevent pregnancy among adolescents and young adults. Further, there are no guidelines on best practices for adolescent and young adult pregnancy prevention through mobile apps.

Mobile Phone Interventions for Adolescent Sexual and Reproductive Health: A Systematic Review.

Context: Interventions for adolescent sexual and reproductive health (ASRH) are increasingly using mobile phones but may not effectively report evidence.

Objective: To assess strategies, findings, and quality of evidence on using mobile phones to improve ASRH by using the mHealth Evidence Reporting and Assessment (mERA) checklist recently published by the World Health Organization mHealth Technical Evidence Review Group.

Data Sources: Systematic searches of 8 databases for peer-reviewed studies published January 2000 through August 2014.

Sustainable Cost Models for mHealth at Scale: Modeling Program Data from m4RH Tanzania.

Background: There is increasing evidence that mobile phone health interventions ("mHealth") can improve health behaviors and outcomes and are critically important in low-resource, low-access settings. However, the majority of mHealth programs in developing countries fail to reach scale. One reason may be the challenge of developing financially sustainable programs.

Mobile Phone Apps for the Prevention of Unintended Pregnancy: A Systematic Review and Content Analysis.

Background: Over 50% of pregnancies in the United States are unintended, meaning that the pregnancy is mistimed, unplanned, or unwanted. Unintended pregnancy increases health risks for mother and child, leads to high economic costs for society, and increases social disparities. Mobile phone ownership is rapidly increasing, providing opportunities to reach at-risk populations with reproductive health information and tailored unintended pregnancy prevention interventions through mobile phone apps.

Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) Study: formative protocol for mHealth platform development and piloting.

Background: There is a high unmet need for sexual and reproductive health (SRH) information and services among youth (ages 15-24) worldwide (MacQuarrie KLD. Unmet Need for Family Planning among Young Women: Levels and Trends 2014). With the proliferation of mobile technology, and its popularity with this age group, mobile phones offer a novel and accessible platform for a discreet, on-demand service providing SRH information.