The era of Public Health 3.0 is an exciting time of innovation and transformation. With the Public Health 3.0 framework, we envision a strong local public health infrastructure in all communities and its leaders serving as Chief Health Strategists that partner with stakeholders across a multitude of sectors on the ground to address the social determinants of health. With equity and social determinants of health as guiding principles, every person and every organization can take shared accountability to ensure the conditions in which everyone can be healthy regardless of race, ethnicity, gender identity, sexual orientation, geography, or income level. If successful, such transformation can form the foundation from which we build an equitable health-promoting system -- in which stable, safe, and thriving community is a norm rather than an aberration. The Public Health 3.0 initiative seeks to inspire transformative success stories such as those already witnessed in many pioneering communities across the country.
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Socioeconomic factors can have a major impact on a person's health, however, new research finds that individuals with acute or chronic conditions think of these factors differently than the more mainstream narratives found in academic papers and the media. To better understand existing gaps and explore opportunities to improve support, the Anthem Public Policy Institute partnered with Quid, a research platform that can analyze large volumes of text-based data, to examine thousands of academic papers, news articles, and public posts on online patient forums. This is the first research project to capture patient perspectives on social determinants at this scale and scope. "While there has been a lot in the media and academic research on social determinants of health, no one has ever compared the focus of that work with the perspectives of individuals who have chronic or acute conditions to determine whether their priorities are aligned," said Jennifer Kowalski, vice president of the Anthem Public Policy Institute. "By better understanding how individuals view and talk about social determinants, payers and providers alike can identify new and improved ways to engage with them to more effectively improve their health and wellbeing and the delivery of healthcare."
We present a scalable Gaussian process model for identifying and characterizing smooth multidimensional changepoints, and automatically learning changes in expressive covariance structure. We use Random Kitchen Sink features to flexibly define a change surface in combination with expressive spectral mixture kernels to capture the complex statistical structure. Finally, through the use of novel methods for additive non-separable kernels, we can scale the model to large datasets. We demonstrate the model on numerical and real world data, including a large spatio-temporal disease dataset where we identify previously unknown heterogeneous changes in space and time.
The primary nonmedical factor affecting health is socioeconomic status. Socioeconomic status may be assessed by wealth (either individual wealth or family income), education (higher education is associated with better economic outcomes), or occupation (which provides financial benefits as well as benefits from expanded social networks) (11), although Americans primarily associate income or wealth with socioeconomic status. Income inequality in the United States continues to grow: The top 1% of earners make 3 times what they did in the 1980s, whereas the bottom 50% earn the same average income they did in 1980 (12). Not only is the income gap widening, the percentage of persons earning more than their parents has been decreasing. Members of the millennial generation, generally classified as persons born between 1981 and 1997, have only a 50% chance of earning more than their parents (12).