Using Human-Centered Design to Develop, Launch, and Evaluate a National Digital Health Platform to Improve Reproductive Health for Rwandan Youth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: A lack of access to evidence-based, unbiased, and youth-friendly family planning and reproductive health (FP/RH) information and care limit young people's ability to prevent unplanned pregnancies and HIV and sexually transmitted infections. This threat-ens their health and is a significant cause of school drop-out, limiting young peoples' well-being, future potential, and employment opportunities. To address these challenges facing youth, YLabs used an end-to-end human-centered design (HCD) approach to create CyberRwanda, a digital platform aiming to improve the health and livelihoods of adolescents (aged 12-19 years) in Rwanda. DESIGNING FOR DIGITAL WITH YOUTH: From 2016 to 2020, CyberRwanda was designed and piloted using an HCD approach in partnership with more than 1,000 youth, parents, teachers, and public and private health care providers. During the problem recognition phase, HCD revealed participants' beliefs, behavioral preferences, and experiences as they relate to FP/RH specifically and their broader life experiences, motivations, and challenges. Several phases of analog, digital, and live prototyping with youth and key stakeholders were used to codesign, test, and refine the intervention for implementation. RESULTS: CyberRwanda is a direct-to-consumer platform where adolescents can learn integrated, age-appropriate health, and skills-building information through edutainment behavior change stories and a robust frequently asked questions library, order health products online, and be linked to CyberRwanda's network of private and public health care providers who have been trained to provide adolescent-friendly care. IMPLICATIONS FOR FUTURE RESEARCH: The HCD process resulted in significant pivots to the design of the digital platform and the implementation model. Using HCD provided a structured methodology to combine technical FP/RH expertise and visual and product design expertise to codesign and iteratively develop a digital health intervention with and for Rwandan youth.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it