Communities across the country share a common sense of urgency to take action against rapidly escalating rates of preventable deaths associated with opioid use. While an increase in clinical opioid prescriptions and the introduction of synthetic opioids into the drug supply partially explain the national uptick in overdose and addiction rates, knowledge gaps surrounding more localized factors related to opioid use, addiction, overdose, and treatment makes developing responsive and evidence-based interventions a challenge for states and communities.
Bias in data is everywhere, from the moment we pose a question to be answered to the point when we implement solutions. The Northwestern Institute for Sexual and Gender Minority Health and Wellbeing hosted a half-day workshop on this topic. The sessions focused on defining what and how bias in big data emerges in our work and the real-world implications. The lessons learned through practitioners’ work with sexual and gender minority communities are valuable and necessary as we build towards equitable results in our multi-sector data sharing initiatives.
Spatial analysis or mapping can reveal geographic insights about health-related public investments that remain hidden when applying a typical non-spatial perspective. All In hosted a recent webinar featuring Jeff Maston at the Center for Urban and Regional Affairs (CURA) – University of Minnesota, a partner for the National Neighborhood Indicators Partnership, and Julia Koschinsky and Nicole Marwell at the University of Chicago, a past awardee of the Public Health National Center for Innovation. Presenters discussed how they have used spatial analysis to identify opportunities to improve community health and reduce inequities around funding and resource allocation across cities.
Complex health problems facing communities today require creative solutions that can impact the root causes that deprive many people of the opportunity to reach their best health potential. Addressing these issues requires partnerships that work across different sectors, leverage an array of expertise and resources, and develop synergistic solutions that are more powerful than what is possible by working alone.
Call for Applications
Data Across Sectors for Health (DASH) is excited to announce a new call for applications for Community Impact Contracts – Strategic, Timely, Actionable, Replicable, Targeted (CIC-START). DASH CIC-START aims to help multi-sector collaborations catalyze their efforts to share and use data to improve health and build a culture of health in their communities. View the current awardees for examples of projects that are eligible.
The 2019 All In National Meeting is pleased to announce that registration is now open! This year’s meeting is designed to lift up the hard-won knowledge and practical lessons from pioneering local data sharing initiatives to accelerate our progress toward improved health equity for all.
Registration closes on September 15, 2019 11:59 PM
Submission deadline: May 17, 2019 at 11:59 pm PST
(Applications will be reviewed on a rolling basis – early submissions are strongly encouraged)
The 2019 All In National Meeting is pleased to announce that the call for abstracts is now open! This year’s meeting is designed to lift up the hard-won knowledge and practical lessons from pioneering local data sharing initiatives to accelerate our progress toward improved health equity for all.
The 2019 National Inventory of Data Sharing Collaborations for Health is a nationwide survey conducted by Data Across Sectors for Health (DASH) on behalf of All In: Data for Community Health. We’re gathering insights from stakeholders across the country to inform a national analysis of community partnerships that are sharing data across sectors to drive population health improvement. The results will highlight opportunities to advance a common agenda that can help support and expand this crucial work.
By Peter Eckart, Co-Director, Data Across Sectors for Health (DASH) at the Illinois Public Health Institute
I recently had a request to share info about health information exchanges that are working on the social determinants of health and related projects on All In, and compiled this list for that request. When I also posted it for the All In online community, one of the readers said “Whoa this list is awesome,” so we’re sharing it here.
What an amazing year for All In: Data for Community Health! With the addition of two new partners and participation from a growing number early innovators interested in connecting with their peers across the country, the learning network was expanded to include 1,000+ individuals representing over 150 community collaborations.