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A Data-Driven Approach to Understanding Factors Contributing to Health Inequities

Resource Topic: Emerging Issues, Social Determinants of Health (SDOH), Clinical Issues

Resource Subtopic: Health Equity, COVID-19.

Keywords: Access to Care, American Indians/Native Alaskans, Asian Americans, Native Hawaiians and Pacific Islanders (AA&NHPIs), Blacks/African Americans, Data Collection, Management, and Analytics, Discrimination, Hispanic Americans/Latinos, Latinas, Patient Demographics, Uniform Data System (UDS).

Year Developed: 2022

Resource Type: Publication.

Primary Audience: Administrative Staff Board of Directors C-Suite (CEOs, CFOs, CIO, COOs, CMOs, etc.) Clinicians Enabling Staff Outreach Staff PCAs

Language(s): English

Developed by: Capital Link (See other resources developed by this organization).

Resource Summary: In order to better understand whether, and to what extent, specific patient and health center characteristics influence health equity (including access to care and health outcomes) among various sub-populations of patients, Capital Link, with the assistance of HealthLandscape and funded by Cedars-Sinai, conducted a data-driven analysis of more than 100 factors for the 58 federally qualified health center (FQHC) members of the Community Clinic Association of Los Angeles County (CCALAC) for the period of 2017-2020. (Released 2022)

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,625,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.