Journal of general internal medicine
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Developing a definition of what constitutes high need among Medicare beneficiaries using administrative data is an important prerequisite to evaluating value-based payment reforms. While various definitions of high need exist, their predictive validity for different patient outcomes in the following year has not been systematically assessed for both fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries. ⋯ The proposed high-need definition has better sensitivity and yields a sample of almost 5 million FFS and 1.5 million MA beneficiaries, facilitating outcome performance comparisons across health systems.
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Abstract
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In response to the landmark report "Beyond Bias and Barriers: Fulfilling the Potential of Women in Academic Science and Engineering," the NIH Office of Research on Women's Health issued a request for applications that funded 14 R01 grants to investigate causal factors to career success for women in STEM. Following completion of the 4-year grants, the grant PIs formed a grassroots collaborative, the Research Partnership on Women in Science Careers. ⋯ Cultural transformation is needed to address the barriers to career advancement for women. Implementing the best practices noted of the work of the Research Partnership can help to achieve this goal.
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Stakeholder engagement is increasingly common in health research, with protocols for engaging multiple stakeholder groups becoming normative in patient-centered outcomes research. Previous work has focused on identifying relevant stakeholder groups with whom to work and on working with stakeholders in evidence implementation. ⋯ This guidance, matrix, and list of resources can assist researchers to consider more systematically which stakeholder groups to involve, in what study roles, and by what modes of engagement. By documenting how stakeholders are paired up with specific roles, the matrix also provides a potential structure for evaluating the impact of stakeholder engagement.
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Emerging health care research paradigms such as comparative effectiveness research (CER), patient-centered outcome research (PCOR), and precision medicine (PM) share one ultimate goal: constructing evidence to provide the right treatment to the right patient at the right time. We argue that to succeed at this goal, it is crucial to have both timely access to individual-level data and fine geographic granularity in the data. ⋯ We examined widely used publicly funded health databases and population-based survey systems and found four ways they could be improved to better support the new research paradigms: (1) finer and more consistent geographic granularity, (2) more complete geographic coverage of the US population, (3) shorter time from data collection to data release, and (4) improved environments for restricted data access. We believe that existing data sources, if utilized optimally, and newly developed data infrastructures will both play a key role in expanding our insight into what treatments, at what time, work for each patient.