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DUCM Community Health System Priorities Identified Were Obesity Discussion

 

1-Identify how your health system identifies gaps in its population’s health?

– Answer this question with references

EVOLUTION TO SOPHISTICATION – CHNA AND CHIP

My health system is Yale New Haven Health, located in New Haven, CT. The system, in collaboration with sponsors like DataHaven and the Partnership for a Healthier New Haven, regularly conducts Community Health Needs Assessments (CHNA) to identify the health disparities in New Haven compared to the surrounding areas, and develops a community health implementation plan (CHIP) to identify the issues that the community will address as a result of the needs assessment. The research takes the form of qualitative and quantitative data derived from outreach (i.e. Surveys and focus groups among various key constituents). Specifically, it includes results from the DataHaven Community Wellbeing Survey, other local surveys including the 2015 New Haven Health Survey, and quantitative data from state, local, and national indicators.

In a 2016 report, key priorities identified were obesity, access to care, and social determinants of health. The 2019 report was more sophisticated and combined the CHNA and the CHIP. It reported on progress since 2016 and continued tracking in 2019 and beyond. The 2019 version is a combined CHNA/CHIP that, rather than simply listing the priority areas for improvement, lays out specific action steps and outcomes to measure (e.g., promote proper nutrition in greater new haven region, increase access to healthy food and affordable fruits and vegetables, promote free and low-cost physical opportunities, increase utilization and access to health screenings, and support partner orgs in activities related to healthy lifestyles… rather than the earlier version that said – address obesity).

This is a fascinating topic to me personally. In 2013, when the CNHAs were new and all of the hospitals were fretting about doing it, I was at the hospital association and drafted the last document cited here, the Guidelines for Conducting a Community Health Needs Assessment. Looking back on it from the standpoint of today, it’s a bit rudimentary, but at the time, it was a widely used guideline by all of the state’s hospitals to create their first CHNAs. This question (and the materials for this week) allowed me to look back on the evolution of the CHNA/CHIP and see how far we’ve come. I think it’s quite remarkable!

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I will define my health system as the system of home-based palliative care programs (HBPCs) in Votive Health’s network for this discussion. We coordinate with coalitions including the Center for Advancing Palliative Care (CAPC) as well as academic research institutions including West Virginia University to identify population gaps in palliative care, which is a major priority of mine in my role at Votive Health.

Gaps analysis starts with trusted data sources, and for us that begins with CAPC’s 2019 State-by-State Report Card on access to palliative care in the U.S. Released every two years, this report offers somewhat granular state-by-state reports and uses demographic and other data sources whenever available to identify disparities within groups in terms of race, gender, age, insurance status, and more for the purposes of gaps analysis (CAPC, 2020). Unfortunately, access to palliative care is significantly impacted by geography; where people live and the resources within their community may be the single greatest determinant of whether a person with complex illness will have the opportunity to choose a home-based palliative care option when they need relief from symptoms and cannot or do not wish to be in a hospital or other facility. As a result of this, prioritizing disparities in access among specific populations may not be receiving the attention it needs. For example, we know that Black Americans are much less likely to receive palliative or hospice services, and when they do it’s for a much shorter duration than other groups (Mar, 2018).

We also leverage data from community-based organizations and supporting organizations like state Quality Improvement Organizations (QIOs) to support our ability to understand the specific needs and gaps in communities. For example, Stratis Health, a QIO based in the Midwest, conducts palliative care needs assessment in rural communities, calling for additional resources and policy solutions to address this ongoing geographical gap in access to care for serious illness (2021).

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