The explosion of health-related data has created new opportunities to understand how health care is delivered, paid for and preserved. Health services evidence helps us understand how to identify, validate, share and analyze data to improve health.
At last month’s National Health Policy Conference and Health Datapalooza, keynote speaker Francesca Dominici highlighted the importance of data as a foundation for informed decision-making for both health and climate policy.
Informed by discussant interviews, AcademyHealth and NORC collaborators highlight the themes in successful state-based maternal health data linkage initiatives, gaps in implementing such initiatives, and the status of current data linkages to address maternal mortality and severe maternal morbidity.
Voices of a New Paradigm: The AcademyHealth Paradigm Project is profiling leaders whose work helps point Health Services Research in a new direction. Some are new to HSR, others may just be new to us – leaders in other fields whose work is inspiring or applicable. All are challenging the limits of the current paradigm in ways that help make HSR more effective and have greater impact.
The severity and the complexity of the opioid crisis require research that is both patient-centered and supported by robust data infrastructure. Several U.S. Department of Health and Human Services (HHS) projects are working across agencies to build the nation’s capacity for exactly this kind of research.
February’s edition of the Blueprint includes an update on the upcoming Paradigm Project expert meetings, articles to improve the methodology, impact, and timeliness of health services research, and resources on diversity, equity, and inclusion.
This report provides information on the importance of investing in data analysis to advance health justice in Medicaid populations. It further highlights the importance of partnering with communities most impacted by injustices that cause inequities in health outcomes.
Health Datapalooza and National Health Policy Conference co-chair Shannon Sartin highlights the benefits of bringing data geeks and policy wonks together at next month’s virtual meeting.
In this article, the authors suggest that by setting clear health equity objectives, disaggregating data by REAL, and implementing strategies informed by social context, we may prevent or lessen health inequities and be better positioned to address the underlying contributors to health that require more equitable infrastructure and broad changes in policies.
This editorial argues that more qualitative research is needed to evaluate the intended and unintended findings from interventions and highlights the benefits that men’s health equity can gain from embracing dissemination and implementation science as a tool to systematically design, implement, refine, and sustain interventions.
