Cargando…
Neighborhood disadvantage and chronic disease management
OBJECTIVE: To assess the relationship between a composite measure of neighborhood disadvantage, the Area Deprivation Index (ADI), and control of blood pressure, diabetes, and cholesterol in the Medicare Advantage (MA) population. DATA SOURCES: Secondary analysis of 2013 Medicare Healthcare Effective...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341202/ https://www.ncbi.nlm.nih.gov/pubmed/30468015 http://dx.doi.org/10.1111/1475-6773.13092 |
_version_ | 1783388914859376640 |
---|---|
author | Durfey, Shayla N. M. Kind, Amy J. H. Buckingham, William R. DuGoff, Eva H. Trivedi, Amal N. |
author_facet | Durfey, Shayla N. M. Kind, Amy J. H. Buckingham, William R. DuGoff, Eva H. Trivedi, Amal N. |
author_sort | Durfey, Shayla N. M. |
collection | PubMed |
description | OBJECTIVE: To assess the relationship between a composite measure of neighborhood disadvantage, the Area Deprivation Index (ADI), and control of blood pressure, diabetes, and cholesterol in the Medicare Advantage (MA) population. DATA SOURCES: Secondary analysis of 2013 Medicare Healthcare Effectiveness Data and Information Set, Medicare enrollment data, and a neighborhood disadvantage indicator. STUDY DESIGN: We tested the association of neighborhood disadvantage with intermediate health outcomes. Generalized estimating equations were used to adjust for geographic and individual factors including region, sex, race/ethnicity, dual eligibility, disability, and rurality. DATA COLLECTION: Data were linked by ZIP+4, representing compact geographic areas that can be linked to Census block groups. PRINCIPAL FINDINGS: Compared with enrollees residing in the least disadvantaged neighborhoods, enrollees in the most disadvantaged neighborhoods were 5 percentage points (P < 0.05) less likely to have controlled blood pressure, 6.9 percentage points (P < 0.05) less likely to have controlled diabetes, and 9.9 percentage points (P < 0.05) less likely to have controlled cholesterol. Adjustment attenuated this relationship, but the association remained. CONCLUSIONS: The ADI is a strong, independent predictor of diabetes and cholesterol control, a moderate predictor of blood pressure control, and could be used to track neighborhood‐level disparities and to target disparities‐focused interventions in the MA population. |
format | Online Article Text |
id | pubmed-6341202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63412022020-02-01 Neighborhood disadvantage and chronic disease management Durfey, Shayla N. M. Kind, Amy J. H. Buckingham, William R. DuGoff, Eva H. Trivedi, Amal N. Health Serv Res Health Equity OBJECTIVE: To assess the relationship between a composite measure of neighborhood disadvantage, the Area Deprivation Index (ADI), and control of blood pressure, diabetes, and cholesterol in the Medicare Advantage (MA) population. DATA SOURCES: Secondary analysis of 2013 Medicare Healthcare Effectiveness Data and Information Set, Medicare enrollment data, and a neighborhood disadvantage indicator. STUDY DESIGN: We tested the association of neighborhood disadvantage with intermediate health outcomes. Generalized estimating equations were used to adjust for geographic and individual factors including region, sex, race/ethnicity, dual eligibility, disability, and rurality. DATA COLLECTION: Data were linked by ZIP+4, representing compact geographic areas that can be linked to Census block groups. PRINCIPAL FINDINGS: Compared with enrollees residing in the least disadvantaged neighborhoods, enrollees in the most disadvantaged neighborhoods were 5 percentage points (P < 0.05) less likely to have controlled blood pressure, 6.9 percentage points (P < 0.05) less likely to have controlled diabetes, and 9.9 percentage points (P < 0.05) less likely to have controlled cholesterol. Adjustment attenuated this relationship, but the association remained. CONCLUSIONS: The ADI is a strong, independent predictor of diabetes and cholesterol control, a moderate predictor of blood pressure control, and could be used to track neighborhood‐level disparities and to target disparities‐focused interventions in the MA population. John Wiley and Sons Inc. 2018-11-23 2019-02 /pmc/articles/PMC6341202/ /pubmed/30468015 http://dx.doi.org/10.1111/1475-6773.13092 Text en © 2018 The Authors. Health Services Research published by Wiley Periodicals, Inc. on behalf of Health Research and Educational Trust This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Health Equity Durfey, Shayla N. M. Kind, Amy J. H. Buckingham, William R. DuGoff, Eva H. Trivedi, Amal N. Neighborhood disadvantage and chronic disease management |
title | Neighborhood disadvantage and chronic disease management |
title_full | Neighborhood disadvantage and chronic disease management |
title_fullStr | Neighborhood disadvantage and chronic disease management |
title_full_unstemmed | Neighborhood disadvantage and chronic disease management |
title_short | Neighborhood disadvantage and chronic disease management |
title_sort | neighborhood disadvantage and chronic disease management |
topic | Health Equity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341202/ https://www.ncbi.nlm.nih.gov/pubmed/30468015 http://dx.doi.org/10.1111/1475-6773.13092 |
work_keys_str_mv | AT durfeyshaylanm neighborhooddisadvantageandchronicdiseasemanagement AT kindamyjh neighborhooddisadvantageandchronicdiseasemanagement AT buckinghamwilliamr neighborhooddisadvantageandchronicdiseasemanagement AT dugoffevah neighborhooddisadvantageandchronicdiseasemanagement AT trivediamaln neighborhooddisadvantageandchronicdiseasemanagement |