Health Departments' Role in Addressing Social Determinants of Health in Collaboration With Multisector Community Partnerships

Multisector community partnerships (MCPs) are key component of the public health strategy for addressing social determinants of health (SDOH) and promoting health equity. Governmental public health agencies are often members or leaders of MCPs, but few studies have examined the role of health departments in supporting MCPs' SDOH initiatives. We engaged 42 established MCPs in a rapid retrospective evaluation to better understand how MCPs' SDOH initiatives contribute to community changes that promote healthy living and improved health outcomes. As part of this work, we gained insights into how health departments support MCPs' SDOH initiatives, as well as opportunities for enhanced collaboration. Results indicate that health departments can support MCPs' SDOH initiatives through the provision of funding and technical assistance, data sharing, and connecting community organizations with shared missions, for example. Findings can be used to inform the development of funding opportunities and technical assistance for MCPs and health department partners.

A conceptual framework and metrics for evaluating multicomponent interventions to increase colorectal cancer screening within an organized screening program

BACKGROUND

Multicomponent, evidence-based interventions are viewed increasingly as essential for increasing the use of colorectal cancer (CRC) screening to meet national targets. Multicomponent interventions involve complex care pathways and interactions across multiple levels, including the individual, health system, and community.

METHODS

The authors developed a framework and identified metrics and data elements to evaluate the implementation processes, effectiveness, and cost effectiveness of multicomponent interventions used in the Centers for Disease Control and Prevention's Colorectal Cancer Control Program.

RESULTS

Process measures to evaluate the implementation of interventions to increase community and patient demand for CRC screening, increase patient access, and increase provider delivery of services are presented. In addition, performance measures are identified to assess implementation processes along the continuum of care for screening, diagnosis, and treatment. Series of intermediate and long-term outcome and cost measures also are presented to evaluate the impact of the interventions.

CONCLUSIONS

Understanding the effectiveness of multicomponent, evidence-based interventions and identifying successful approaches that can be replicated in other settings are essential to increase screening and reduce CRC burden. The use of common framework, data elements, and evaluation methods will allow the performance of comparative assessments of the interventions implemented across CRCCP sites to identify best practices for increasing colorectal screening, particularly among underserved populations, to reduce disparities in CRC incidence and mortality.

Neighborhood and Individual Sociodemographic Characteristics Associated with Disparities in Adult Obesity and Perceptions of the Home Food Environment

Purpose: Multiple studies have demonstrated significant disparities in the relationship between individual sociodemographic characteristics and risk of overweight or obesity. However, little information is available for assessing the complex associations among being overweight or obese with neighborhood and individual sociodemographic factors and the measured and perceived community food environment. Methods: Using 2014 national evaluation data from 20 communities (analyzed 2015-2016) that participated in the U.S. Centers for Disease Control and Prevention Community Transformation Grants Program, we used multilevel multivariable models to assess associations among factors at the individual, census tract, and county levels with being overweight or obese and with the perceived home food environment. Results: Individual level factors (age, sex, race/ethnicity, household income, and education) were significantly associated with the likelihood of being overweight or obese in every model tested. Census tract level poverty and education were significantly associated with the likelihood of being overweight or obese in univariate but not multivariable analyses. Perceived community food environment was a significant predictor of the perceived home food environment; the objective measure of county-level grocery store access was not. Neither perceived nor objective community food environment measures were significantly associated with overweight/obesity in multivariable analyses. Conclusion: Individual-level sociodemographic characteristics are more strongly associated with obesity-related outcomes than are area-level measures. Future interventions designed to address health equity issues in obesity among underserved populations may benefit from focusing on nutrition education tailored to individuals, to encourage purchase and consumption of healthy food. Improving healthy food availability in underserved communities may also be critical for nutrition education to have a meaningful impact.