Culture of Data 2025

This session will spotlight how diverse fields—spanning environmental health, maternal and child health, education, and food security—converge to address the social determinants of health and advance equity.

Our 3 panelists, representing a range of sectors including community organizations, academia, public health, and state/local government, will share insights on:

The interconnected roles of education, food systems, environmental health, and maternal and child health in shaping community well-being.

How cross-sector collaboration can amplify efforts to address structural inequities and improve health outcomes.

Real-world examples of data integration and sharing across disciplines to create actionable solutions for health justice.

This session will provide attendees with a deeper understanding of how interdisciplinary partnerships can dismantle systemic barriers and leverage community assets to create a healthier, more equitable future. Be inspired by innovative strategies and frameworks that set the tone for meaningful action throughout the conference.

A first step to improving the way you communicate data and analysis is to have some basic understanding of best practices and strategies. In this talk, I lay out three principles for better data visualization: Show the Data, Reduce the Clutter, and Integrate Graphics and Text. I also lay out three principles for better presentations: Visualize, Unify, and Focus. Together, with the help of examples, both good and bad, I demonstrate how anyone can more effectively communicate their data and elicit insight.

Grab your lunch and join us for a dynamic and fun virtual networking event! Ditch the awkward small talk and connect with your Culture of Data peers in a relaxed and interactive setting. We'll be using breakout rooms to facilitate 3 rounds of intimate small group discussions, giving you the opportunity to connect with multiple professionals and enjoy your meal at the same time. And to help you return to the conference refreshed, we'll end this session with a re-energizing mindfulness exercise. Come expand your network and make valuable connections from the comfort of your own computer.

Wastewater-based epidemiology (WBE) offers a promising tool for monitoring infectious diseases and advancing health equity, but when working with Indigenous communities, challenges rooted in past and present exploitative research practices must be addressed to build trust and foster collaboration. Historical inequities have significantly impacted public health in these communities, which underscores the need for ethical and culturally aligned engagement strategies. This presentation will explore the benefits of integrating the principles of Indigenous Research Methodologies (IRM) into WBE projects to improve data collection and analysis practices when working with Tribal communities. 

Drawing on specific IRM principles – relationality, respect, responsibility, representation, relevance, and reciprocity – this presentation illuminates how WBE projects can adopt a collaborative approach that respects Tribal self-determination and promotes culturally appropriate practices. This approach cultivates effective engagement and empowers Tribal communities to lead in shaping public health strategies, resulting in tangible benefits in these communities. By integrating these principles, WBE initiatives can be tailored to reflect the unique needs of Tribal communities such as respecting Tribal sovereignty and data sovereignty. 

Key recommendations presented demonstrate the transformative impact of incorporating IRM principles into WBE initiatives. These recommendations include establishing Tribal liaisons and cultivating relationships with respect for history and culture to facilitate communication and Indigenous representation. Furthermore, by implementing reflexive evaluation, projects ensure that Tribal priorities and community-identified benefits align with a project’s initiatives, and that Tribal sovereignty and data sovereignty are respected. 

This presentation will showcase examples of Colorado’s innovative, strength-based approach in taking strides towards these recommendations as a framework for leveraging data to address health inequity within the state. By prioritizing Indigenous voices at the forefront, this work aims to respect Tribal sovereignty and data sovereignty, promote ethical, culturally responsive public health solutions, and provide valuable insights to public health professionals, policymakers, and Tribal leaders.

The Colorado Equity Compass (CEC) is a resource platform and capacity-building initiative that helps communities understand the social determinants of health and learn how to advocate for change. Its website is free, easy-to-use, and combines population statistics, data visualizations, community stories, and advocacy tools to bring local data to life. Users can access statistics about the social determinants of health for each neighborhood and county in Colorado. This includes data about economics, education, the environment, food, health services, housing, and social factors.

In 2024, CEC launched a data-use learning collaborative, providing a paid opportunity for community-based organizations with little to no internal data capacity to gain practical skills using data to promote equity. Organizations worked with social determinants of health data to learn about the needs of the communities they serve. The collaborative consisted of virtual meetings over five months with opportunities for individualized data help sessions. Each meeting focused on data skills, from the fundamentals of how to frame data, to beginner analysis approaches, to practice presenting information. Throughout the collaborative, each participant worked on a data project meant to practice skills and create a relevant, equity-focused data product for their organization to use. Organization received a stipend for participating.

In this presentation, we will provide an overview of the learning collaborative effort, including successes and lessons learned. We will also share solutions to common data problems that learning collaborative participants encountered, including what to do when data is not available because of small sample size or there's no disaggregation. We are pleased to co-present with a community partner from the learning collaborative who will share their data project and reflect on their experience working with social determinant of health data.

The CEC is supported by The Colorado Trust, the Colorado Health Institute, Change Matrix, and Consume & Create.

Firearms in Colorado are common; 45% of Coloradans report they live in a home with a firearm. The majority of firearm owners also state they own a firearm to protect their homes and families. However, access to a firearm is a risk factor for suicide lethality as 90% of all suicide attempts with a firearm are fatal, and research suggests the time between deciding to attempt suicide and then attempting suicide is often under 10 minutes. Thus, strategies to reduce access to lethal means are a promising strategy for suicide prevention. 

Since 2014, the Colorado Office of Suicide Prevention has supported the Colorado Gun Shop Project (GSP) as a strategy to promote lethal means safety in Colorado. The GSP coordinates outreach between local firearm community advocates and firearm retailers/owners to share effective safe storage strategies for Coloradans who own firearms. However, measuring outreach in the community has been a consistent challenge for GSP program evaluation efforts. This presentation provides an overview of the GSP, its implementation in the Office of Suicide Prevention, and efforts to improve data quality from GSP outreach efforts. 

In 2024, The Office of Suicide Prevention created a new data collection protocol for the GSP that emphasized timely reporting with local insights from GSP firearm community advocates. In this presentation we will present 1) lessons learned from previous iterations of the GSP implementation 2) the use of online survey tools (Qualtrics) to improve data collection from GSP  firearm community advocates and 3) how GSP automates data collection and analysis using Google Looker Studio to create reports that can inform program decisions for the Office of Suicide Prevention as well as local outreach teams, and improve reporting processes for GSP funding agencies.

Background: Texas’ 2021 SB8 was passed in September 2021, which effectively banned abortion after six weeks. We sought to investigate the association of this change in legal access with infant mortality.
Methods: Utilizing CDC Wonder mortality data from January 2018 to June 2024, an interrupted time series analysis assessed the association between changes in the law and monthly counts of deaths under the age of one year in Texas, adjusting for both long term time trends and seasonality, using abortion-rights protective jurisdictions including Colorado for comparison. The interruption point was set at 3 months after legal access changed. Aggregate mortality was assessed along with mortality disaggregated by race, ethnicity, and two groups of specific causes.
Results: Overall mortality was 18% higher after SB8 when compared to before. Rate Ratio (RR): 18%, (95% Confidence Interval (CI): 10%, 26%). In disaggregated race and ethnicity data, non-Hispanic Black mortality was 21% higher (95%CI: 6%, 39%), where non-Hispanic white mortality was 15% (95% CI: 2%, 30%). Cause-specific mortality was also higher after SB8. Grouped comparison states showed a 6% increase in the same timeframe, while separately analyzed Colorado infant mortality showed no evidence of change.
Discussion: Higher mortality after SB8 was identified both overall and in disaggregated racial and ethnic groups, with non-Hispanic Black infants having the highest increase. Increases in some cause-specific mortality associated with changes in abortion access were even more pronounced.
Conclusion: This study contributes evidence that infant mortality in Texas rose significantly after the implementation of a six-week abortion ban, and that impacts were differential by race and ethnicity, as well as among specific causes of death. Changes to population health in association with abortion bans may extend beyond pregnancy, providing further motivation for ensuring abortion access in states like Colorado.

Climate change is accelerating the frequency and intensity of wildfires, particularly in Colorado where drought and increased heat have led to significantly longer fire seasons and an average of over 5,000 reported wildfires yearly. Knowing that reduced air quality affects population health, Center for Improving Value in Health Care (CIVHC) set out to understand health impacts of wildfires and ozone pollutant events. The Wildfire and Ozone Impact on Health analysis uses data from the Environmental Protection Agency (EPA) and the Colorado All Payer Claims Database (CO APCD) to evaluate the impact of wildfires and ozone spike events on emergency department (ED) visits for respiratory and circulatory conditions. 

CIVHC’s analysis found that poor air quality impacts younger and older people, with the 0-17 and 65+ age groups consistently showing higher rates of ED visits across various environmental conditions, indicating a heightened vulnerability among these groups. In winter months above the ozone threshold, children and youth had a significantly higher ED visit rate compared to other age groups and months without poor air quality.

Seniors (65+) also experience heightened impact during these times. 

Findings from the analysis show that air quality events could trigger emergent health care events, and show which groups experience the most severe impacts of wildfire and ozone pollutants. This session will delve into potential policy response and discuss where communities can allocate resources and target interventions to protect populations most impacted by these events.

Data from the Healthy Kids Colorado Survey highlights the critical role of data in addressing youth mental health and suicide prevention. Suicide remains a leading cause of death among high school students, with disproportionately high rates among LGBTQ+ youth and racially diverse populations. Understanding these disparities is essential for designing culturally responsive interventions that address the unique social, cultural, and economic stressors faced by minority youth.

Our data, obtained from the Colorado School of Public Health’s research program, includes raw survey responses from 2015, 2017, 2019, 2021, and 2023. Through a detailed analysis of age, mental health indicators, school/district identifiers, and demographics, we identified key trends, assessed the impact of past interventions, and highlighted areas requiring further support.

Notably, the 2023 survey revealed a decline in persistent sadness, hopelessness, and suicidal ideation among Colorado youth compared to 2021. This positive shift follows a surge in mental health challenges during the pandemic, which prompted data-driven policy responses. In 2021, Colorado lawmakers launched a statewide initiative providing free counseling for children and adolescents, while school districts expanded access to mental health services by hiring more social workers, counselors, and psychologists.

These findings suggest that strategic investments in mental health and suicide prevention—guided by data—are making a measurable impact. Colorado’s approach demonstrates the power of collaborative data use in advancing health equity and improving youth well-being.

The Healthy Food for Denver’s Kids initiative (HFDK), created through a 2018 ballot measure, aspires to improve access to healthy food and food-based education for children and families throughout Denver. Administered by the Denver Department of Public Health and Environment, HFDK allocates grants to nonprofits and public entities in Denver. CAI, the external evaluator, utilizes cluster and multi-level evaluation strategies to measure and assess HFDK’s outcomes and impact. We will present two innovative ways CAI uses data systems and visual analytics to promote community collaboration to improve hunger and nutrition for families in Denver. 

As part of CAI’s HFDK evaluation, grantees submit quarterly and annual-level data on their programmatic activities through Quickbase (QB), a cloud-based project management platform. Data consists of process and outcomes metrics, as well as client-level feedback, on food access and distribution; food and nutrition assistance; food and nutrition education; food production; reach; community engagement; and partnerships. Using QB, we compile and analyze grantee data to produce reports, showcasing key trends and insights to share with stakeholders, commission members, and the funder. These reports support strategic decision-making and provide transparency on program performance. Grantees can also access their data in real-time, visualize outputs and outcomes via data dashboards, and utilize data to enhance their programming, services, and reach. 

The evaluation includes a thorough review of secondary data, utilizing grantee-submitted information and publicly available food and nutrition data from city sources to benchmark HFDK's contributions to improvements. This also includes geospatial analysis and detailed maps, visualizations highlighting the geographic distribution of services across Denver’s 61 high-priority neighborhoods where food insecurity remains prevalent.

The presentation will showcase our evaluation approaches and how grantee and citywide data, accessible through real-time and highly visual platforms, equips HFDK stakeholders with actionable insights for advocacy, education, partnership-building, and informed strategic planning.

This presentation explores the accessibility of obstetric providers in Adams County, Colorado, a rural region facing unique challenges in healthcare delivery. Access to obstetric care is a critical issue affecting maternal and child health outcomes, with disparities often exacerbated by geographic and socioeconomic factors. We analyze the spatial distribution of obstetrics services, identify barriers to care, and examine how social determinants of health, such as income, transportation, and education, influence access to prenatal and postnatal care in Adams County. Specifically, in our analysis we looked at the distribution of live births, women of reproductive age, and birth rates across Adams County, identifying where there was the most need for obstetric care. Additionally, we looked at birth outcomes, including low birth weight, prenatal care, forms of payment, and maternal morbidity conditions among births from 2021 to 2023. We also conducted a drive-time analysis at 15-, 30-, and 60-minute intervals, identifying areas of Adams County with decreased obstetric care access.

By leveraging geographic information systems (GIS), patient demographics, birth outcomes, and service availability data, this presentation highlights significant gaps in obstetric care access and its impact on maternal and child health outcomes. These findings identify disparities in access to care among rural populations in Adams County, underscoring the need for data-driven strategies to be integrated into policy and healthcare planning.

This presentation demonstrates how data can be utilized to address the social determinants of health that affect maternal and child care. Attendees will gain valuable insights into the intersection of rural healthcare, social determinants, and data science, empowering them to apply these findings in their own communities to foster more just and accessible healthcare systems.

This presentation delves into applying the Indigenous Social Determinants of Health when discussing the SDoH within Colorado. It will provide a high-level overview of CDPHE-specific examples of collaborative partnerships that respect Tribal sovereignty and Tribal data sovereignty rights and utilize best practices for engaging American Indian and Alaska Native communities. For example, we will highlight work with CDPHE's Baby & You program to provide strategic guidance and support with outreach. Outreach which has resulted in an increase in Native American and Alaska Native participation in comparison to previous survey participation.

"Through these collaborations, we will demonstrate how incorporating practices that are sovereignty-affirming and mindful of Indigenous Determinants of Health can improve public health data systems. Our goal is to focus on how entities should have parameters set in place for Tribal data collection.

We will examine strategies that prioritize community involvement in every step of the process, ensuring that American Indian/Alaska Native voices remain at the center of health equity initiatives. Furthermore, we will explain the importance of braiding Indigenous determinants with SDoH when focusing on AIAN communities, which is currently not being considered in data collection. Moreover, we will touch on how data pertaining to the Indigenous determinants, which can transcend SDoH and reflect the holistic health perspectives valued by American Indian/Alaska Native populations. Throughout these discussions, our presentation addresses the importance of Tribal data sovereignty and the ethical considerations necessary for equitable partnerships along the way.

Ultimately, this presentation aims to foster an understanding of Indigenous social determinants of health and inspire action among attendees by emphasizing the importance of partnerships rooted in respect, trust, inclusion, and shared goals. By advancing innovative practices and promoting collaboration, it seeks to build a stronger foundation for Indigenous health equity initiatives grounded in cultural identity and Tribal sovereignty."