Molly A Martin, Jose Echeverria, DeAnthoni Wilkins, Preethi Navalpakkam, Samuel Battalio, Jacquelyn Jacobs, Jennifer Holcomb, Madison Hartstein, Milkie Vu, Bonnie Spring
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引用次数: 0
Abstract
This analysis aimed to define the data needs of community-based organizations (CBOs) after the COVID-19 pandemic. Through a mixed-methods explanatory sequential design during the summer/fall of 2023, 51 CBOs completed surveys and 24 participated in subsequent interviews. The CBOs provided social services to Black, Latinx, Asian, and/or low-income communities in the Chicago region. They varied in size, funding sources, and focus areas. Results showed that all used data, and 82.4% used population-level data. Data use expansion was limited by funding, staffing, data management systems, and skills. Existing population-level data was not sufficiently hyper-local, updated, and culturally appropriate to meet CBOs' needs. Community-based organization data needs and challenges have not changed significantly post-COVID despite rapid expansion of data availability. Findings highlight a need for long-term infrastructure funding and partnership from external agencies. Flexible tailored approaches to support CBOs are essential to increase social trust in data and ensure CBO missions remain community-driven.
期刊介绍:
The journal has as its goal the dissemination of information on the health of, and health care for, low income and other medically underserved communities to health care practitioners, policy makers, and community leaders who are in a position to effect meaningful change. Issues dealt with include access to, quality of, and cost of health care.