The employment social enterprise (ESE) model can provide an opportunity to create a financially viable business that helps individuals with employment barriers become integrated into the labor force. This research studied eight ESEs.
With persistent concerns about health care expenditures, the health care field has recognized a group of patients known as super utilizers—people with complex health needs and socioeconomic challenges who have very high levels of hospital use.
The NQP Social Determinants of Health Data Integration Action Team brings together experts and recognized leaders from the private and public sectors committed to accelerating the integration of data on social determinants of health (SDOH) into clinical practice.
Del Grosso, Thomas, Makowsky, Levere, Fung, and Paulsell for Department of Health and Human Services
Findings from a national descriptive study of Early Head Start-Child Care Partnerships reveal new information about how partnerships expand access to high quality, affordable care for infants and toddlers.
The U.S. has a shortage of seven million rental homes affordable and available to extremely low-income renters, whose household incomes are at or below the poverty guideline or 30% of their area median income.
Semeah, Ahrentzen, Cowper-Ripley, Santos-Roman, Beamish, and Farley for Housing Policy Debate
Housing is considered a social determinant of health, with poor housing conditions being associated with poor health. Veterans with disabilities are more likely to experience a housing crisis because of combat experiences and employment instability.
The Hope Center, California Community Colleges, and #RealCollege
The #RealCollege survey is the nation’s largest annual assessment of basic needs security among college students. The survey, which specifically evaluates access to affordable food and housing, began in 2015 under the Wisconsin HOPE Lab.
On behalf of All In: Data for Community Health, Data Across Sectors for Health (DASH) is conducting The 2019 National Inventory of Data Sharing Collaborations for Health to better understand the location and nature of multi-sector collaborations in the United States, their capacity for data-sharing