2020
DOI: 10.1210/clinem/dgaa462
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The Neighborhood Deprivation Index and Provider Geocoding Identify Critical Catchment Areas for Diabetes Outreach

Abstract: Purpose In designing a Project ECHO™ Type 1 Diabetes (T1D) program in Florida and California, the Neighborhood Deprivation Index (NDI) was used in conjunction with geocoding of primary care providers (PCPs) and endocrinologists in each state to concurrently identify areas with low endocrinology provider density and high health risk/poverty areas. The NDI measures many aspects of poverty proven to be critical indicators of health outcomes. Meth… Show more

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Cited by 24 publications
(21 citation statements)
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“…In this perspective we have highlighted inflammation and immune cell changes as potential mediators of the relationships between exposure to adverse social conditions and COVID-19 severity and outcomes. It is known that existing inequities, may lead to the disproportionate burden of chronic diseases, such as asthma ( 116 – 118 ), Type 2 diabetes ( 119 , 120 ), obesity ( 121 126 ), and cardiovascular disease ( 127 129 ). In turn, these chronic diseases could mediate associations between social factors and worsening COVID-19 severity and outcomes ( 1 , 130 ).…”
Section: Discussionmentioning
confidence: 99%
“…In this perspective we have highlighted inflammation and immune cell changes as potential mediators of the relationships between exposure to adverse social conditions and COVID-19 severity and outcomes. It is known that existing inequities, may lead to the disproportionate burden of chronic diseases, such as asthma ( 116 – 118 ), Type 2 diabetes ( 119 , 120 ), obesity ( 121 126 ), and cardiovascular disease ( 127 129 ). In turn, these chronic diseases could mediate associations between social factors and worsening COVID-19 severity and outcomes ( 1 , 130 ).…”
Section: Discussionmentioning
confidence: 99%
“…Research on type 1 diabetes tends to rely solely on recruitment efforts through major endocrinology centers ( 31 ) and subsequently underrepresents communities with type 1 diabetes most in need of strategic outreach. As part of a larger needs assessment for spearheading a Project Extension for Community Health Outcomes (ECHO) type 1 diabetes outreach program ( 32 , 33 ), focus groups were conducted with individuals living with type 1 diabetes with intentional recruitment efforts aimed at including the perspectives of low SES and racially diverse adults with type 1 diabetes.…”
Section: Introductionmentioning
confidence: 99%
“…To our knowledge, we were the first Project ECHO program to strategically recruit using a dual focus on FQHCs and using the NDI with provider geocoding. 26 By including targeted recruitment methods to identify spokes delivering care to medically underserved communities, the Project ECHO T1D pilot program reached PCPs in critical need of resources to help offset pronounced health disparities in the communities they serve. Feedback from the PCPs also indicates the participants found the program a worthy investment of their time both in terms of the quality of content presented in tele-ECHO clinics and through the provision of a Diabetes Support Coach for patient engagement.…”
Section: Discussionmentioning
confidence: 99%
“…On completion of the needs assessment, health centers (ie, 'spokes') providing care for medically underserved communities were strategically recruited for Project ECHO T1D by: (1) focusing on FQHCs and (2) the use of the Neighborhood Deprivation Index (NDI) and provider geocoding. 26 Covered under the Consolidated Health Center Program of the Social Security Act, FQHCs in the USA provide primary care services to underserved areas and must adhere to stringent guidelines including never turning patients away based on insurance status, and, providing care on a sliding scale based on ability to pay. 27 To identify high-need geographic catchment areas in FL and CA, the NDI was used in conjunction with geocoding of PCPs and endocrinologists in each state to concurrently identify areas with low endocrinology provider density and high health risk/poverty areas.…”
Section: Methodsmentioning
confidence: 99%