ABSTRACT
The Stanford Population Health Sciences Data Ecosystem was created to facilitate the use of large datasets containing health records from hundreds of millions of individuals. This necessitated technical solutions optimized for an academic medical center to manage and share high-risk data at scale. Through collaboration with internal and external partners, we have built a Data Ecosystem to host, curate, and share data with hundreds of users in a secure and compliant manner. This platform has enabled us to host unique data assets and serve the needs of researchers across Stanford University, and the technology and approach were designed to be replicable and portable to other institutions. We have found, however, that though these technological advances are necessary, they are not sufficient. Challenges around making data Findable, Accessible, Interoperable, and Reusable remain. Our experience has demonstrated that there is a high demand for access to real-world data, and that if the appropriate tools and structures are in place, translational research can be advanced considerably. Together, technological solutions, management structures, and education to support researcher, data science, and community collaborations offer more impactful processes over the long-term for supporting translational research with real-world data.
ABSTRACT
OBJECTIVES: We investigated whether managed transportation improves outreach-based health service delivery to rural village populations. METHODS: We examined systematic transportation management in a small-cluster interrupted time series field trial. In 8 districts in Southern Zambia, we followed health workers at 116 health facilities from September 2011 to March 2014. The primary outcome was the average number of outreach trips per health worker per week. Secondary outcomes were health worker productivity, motorcycle performance, and geographical coverage. RESULTS: Systematic fleet management resulted in an increase of 0.9 (SD = 1.0) trips to rural villages per health worker per week (P < .001), village-level health worker productivity by 20.5 (SD = 5.9) patient visits, 10.2 (SD = 1.5) measles immunizations, and 5.2 (SD = 5.4) child growth assessments per health worker per week. Motorcycle uptime increased by 3.5 days per week (P < .001), use by 1.5 days per week (P < .001), and mean distance by 9.3 kilometers per trip (P < .001). Geographical coverage of health outreach increased in experimental (P < .001) but not control districts. CONCLUSIONS: Systematic motorcycle management improves basic health care delivery to rural villages in resource-poor environments through increased health worker productivity and greater geographical coverage.
