Nthabi in Lesotho - Implementation

Not Applicable

Completed

Conditions: Preconception Care

Interventions: Behavioral: mHealth Application

Registration Number: NCT04354168

Lead Sponsor: Boston University

Brief Summary: This project will determine how well the mobile health (mHealth) Nthabi application is introduced and used at district hospitals in Lesotho. This will help with measuring the effectiveness of an evidence-based mHealth application in a low-income country. Three factors will be studied when assessing the mHealth application's overall impact: 1) end-user content knowledge 2) pre and post stage of change and 3) system usage. This data will be collected by the mHealth application. End-users will use the mHealth application over a period of two months. Results will be shared with the clinical, health services research, information technology, and policy communities.

Detailed Description: Lesotho has second-highest HIV and fifth-highest tuberculosis prevalence rates worldwide, and a maternal mortality rate (1024/100,000) that is among the highest in Africa. As there are only 6.2 nurses and 0.5 physicians per 10,000 people, both about one-third of the African average, there is an enormous need for eHealth systems to assist the clinical care system.

Preconception care is an effort to focus on engaging young women in their health before they become pregnant since many women enter pregnancy at risk for poor outcomes because of preexisting medical conditions or not following evidence-based preventive action. In 2013, the WHO prioritized research that focuses on developing, delivering, and scaling preconception women's health interventions in low and middle-income countries to optimize health and birth outcomes. The WHO emphasized implementation research as the key step in helping to maximize the coverage and uptake of preconception care to enhance the long-term health outcomes for women and their children.

The existing "Gabby" system is a patient-facing, user-friendly, evidence-based, scalable, culturally adaptive, health communication system designed to improve women's health. The investigator's team has developed and tested several Embodied Conversational Agents (ECAs), which are virtual characters designed using expertise from health communication, psychotherapy, social psychology, sociolinguistics, linguistics, and communication theory.

For this project, the investigators will first adapt the existing "Gabby" system to a culturally appropriate mHealth application, called "Nthabi", and second, study the impact of the Nthabi application into district hospitals in Lesotho in partnership with the Lesotho Boston Health Alliance (LeBoHA) using the existing educational infrastructure. The research team will assess the effectiveness of Nthabi based on the periodic stage of change assessments over the two-month implementation, end-user content knowledge, and system usage.

Recruitment & Eligibility

Status: COMPLETED

Sex: Female

Target Recruitment: 160

Inclusion Criteria

Female Resident of Lesotho
English Speaking
Have access to an Android smartphone
Not currently pregnant at time of enrollment

Exclusion Criteria

-None

Study & Design

Study Type: INTERVENTIONAL

Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Nthabi mHealth Application	mHealth Application	About 20 women from each of the ten district hospitals will be recruited. Each district hospital will have a separate administrative page on the Nthabi server where women will be enrolled with a unique username and password. Upon enrollment, the women will be asked to engage with Nthabi for two months to discuss the relevant content areas they are interested in learning more about.

Primary Outcome Measures

Name	Time	Method
Change in Preconception Health Knowledge	Baseline, 4 weeks	Change in preconception health knowledge will be assessed by a change in the percentage correct scores between the Pre and Post tests which were developed by the investigator. Higher positive change scores suggest more knowledge about preconception health.

Secondary Outcome Measures

Name	Time	Method
Ease of Use of Nthabi App	4 weeks	This outcome was assessed by responses to a specific question in an investigator developed survey containing 22 questions eliciting responses on a 4-point Likert scale (strongly agree, agree, disagree, and strongly disagree). The higher the percentage of strongly agree or agree responses the more favorable the results.
Intend to Keep Using the Nthabi App	4 weeks	This outcome was assessed by responses to a specific question in an investigator developed survey containing 22 questions eliciting responses on a 4-point Likert scale (strongly agree, agree, disagree, and strongly disagree). The higher the percentage of strongly agree or agree responses the more favorable the results.
Nthabi App Health Education Content Organized and Timely	4 weeks	This outcome was assessed by responses to a specific question in an investigator developed survey containing 22 questions eliciting responses on a 4-point Likert scale (strongly agree, agree, disagree, and strongly disagree). The higher the percentage of strongly agree or agree responses the more favorable the results.
Enjoyed Using the Nthabi App	4 weeks	This outcome was assessed by responses to a specific question in an investigator developed survey containing 22 questions eliciting responses on a 4-point Likert scale (strongly agree, agree, disagree, and strongly disagree). The higher the percentage of strongly agree or agree responses the more favorable the results.
The Nthabi App Was Culturally Appropriate	4 weeks	This outcome was assessed by responses to a specific question in an investigator developed survey containing 22 questions eliciting responses on a 4-point Likert scale (strongly agree, agree, disagree, and strongly disagree). The higher the percentage of strongly agree or agree responses the more favorable the results.
Able to Complete Tasks Quickly Using Nthabi	4 weeks	This outcome was assessed by responses to a specific question in an investigator developed survey containing 22 questions eliciting responses on a 4-point Likert scale (strongly agree, agree, disagree, and strongly disagree). The higher the percentage of strongly agree or agree responses the more favorable the results.