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Neighborhood disadvantage and chronic disease management
Author(s) -
Durfey Shayla N. M.,
Kind Amy J. H.,
Buckingham William R.,
DuGoff Eva H.,
Trivedi Amal N.
Publication year - 2019
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.13092
Subject(s) - medicine , rurality , demography , population , psychological intervention , gerontology , disadvantaged , disadvantage , rural area , environmental health , pathology , psychiatry , sociology , political science , law
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.