The Bill & Melinda Gates Foundation supports Living Goods and our partner Medic Mobile to promote creative solutions and expand the pipeline of groundbreaking ideas linked to technology in community health. The goal of the Innovation Network is to leverage emerging technologies such as non-invasive diagnostics, smartphone-enabled testing, and biometrics, which demonstrate the immense potential to transform health care delivery.
The Innovation Network is testing innovations through a field office, located in Kisii County, Kenya. The test initiatives currently include:
Living Goods aims to improve client care and experience through an improved flow of care between health facilities and community health workers (CHWs)—closing the loop of care. To test the efficacy of the “closed-loop’” referral system, we’re rolling out a digital referral mobile app to seamlessly transfer patient information between CHWs and health facilities in real time, ensuring community-level follow up, noting referral completion rates, and facilitating flexible referrals for treating childhood disease, pregnancies, and newborns, with a focus on building the capacity of existing referral strategies to ensure we leverage the full-spectrum continuum of care.
HIV Self-Testing Closed Loop
CHWs in Kenya currently provide counseling on healthy living for HIV-positive people, identify and refer at-risk pregnancies and newborns, provide counseling on HIV prevention, and distribute condoms. Through this pilot, we aim to improve HIV status awareness and lifestyles through designing, building out, and testing workflows that facilitate HIV self-testing, referrals, notifications, and ongoing care at the community level. This may include providing information and contact cards for partner-assisted testing, using the closed-loop referral system to refer reactive and untreated cases to health facilities.
Living Goods will leverage a large amount of data our CHWs collect through our Smart Health app to create algorithms that empower us to better prioritize and focus a CHW’s time toward the households most in need of care. Using the Equity Tool embedded in our app, we are identifying the most in-need populations by harnessing data exploration for prediction indicators and risk factors, building predictive models for risk identification, and leveraging data modeling to prioritize tasks based on risk predictions in a targeted area.