<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu EF</submitter><funding>NLM NIH HHS</funding><pagination>e008256</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8847331</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(2)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>A contextual understanding of hypertension control can inform population health management strategies to mitigate cardiovascular disease events. This retrospective cohort study links neighborhood-level data with patients' health records to describe racial/ethnic differences in uncontrolled hypertension and determine if and to what extent these differences are mediated by neighborhood socioeconomic status (nSES).&lt;h4>Methods&lt;/h4>We conducted a mediation analysis using a sample of patients with hypertension from 2 health care delivery systems in San Francisco over 2 years (n=47 031). We used generalized structural equation modeling, adjusted for age, sex, and health care system, to estimate the contribution of nSES to disparities in uncontrolled hypertension between White patients and Black, Hispanic/Latino, and Asian patients, respectively. Sensitivity analysis removed adjustment for health care system.&lt;h4>Results&lt;/h4>Over half the cohort (62%) experienced uncontrolled hypertension during the study period. Racial/ethnic groups showed substantial differences in prevalence of uncontrolled hypertension and distribution of nSES quintiles. Compared with White patients, Black, and Hispanic/Latino patients had higher adjusted odds of uncontrolled hypertension: odds ratio, 1.79 [95% CI, 1.67-1.91] and odds ratio, 1.38 [95% CI, 1.29-1.47], respectively and nSES accounted for 7% of the disparity in both comparisons. Asian patients had slightly lower adjusted odds of uncontrolled hypertension when compared with White patients: odds ratio, 0.95 [95% CI, 0.89-0.99] and the mediating effect of nSES did not change the direction of the relationship. Sensitivity analysis increased the proportion mediated by nSES to 11% between Black and White patients and 13% between Hispanic/Latino and White patients, but did not influence differences between Asian and White patients.&lt;h4>Conclusions&lt;/h4>Among patients with hypertension in this study, nSES mediated a small proportion of racial/ethnic disparities in uncontrolled hypertension. Population health management strategies may be most effective by focusing on additional structural and interpersonal pathways such as racism and discrimination in health care settings.</pubmed_abstract><journal>Circulation. Cardiovascular quality and outcomes</journal><pubmed_title>Examining Neighborhood Socioeconomic Status as a Mediator of Racial/Ethnic Disparities in Hypertension Control Across Two San Francisco Health Systems.</pubmed_title><pmcid>PMC8847331</pmcid><funding_grant_id>R01 LM013045</funding_grant_id><pubmed_authors>Rubinsky AD</pubmed_authors><pubmed_authors>Liu EF</pubmed_authors><pubmed_authors>Mujahid M</pubmed_authors><pubmed_authors>Pacca L</pubmed_authors><pubmed_authors>Fontil V</pubmed_authors><pubmed_authors>DeRouen MC</pubmed_authors><pubmed_authors>Fields J</pubmed_authors><pubmed_authors>Lyles CR</pubmed_authors><pubmed_authors>Bibbins-Domingo K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Examining Neighborhood Socioeconomic Status as a Mediator of Racial/Ethnic Disparities in Hypertension Control Across Two San Francisco Health Systems.</name><description>&lt;h4>Background&lt;/h4>A contextual understanding of hypertension control can inform population health management strategies to mitigate cardiovascular disease events. This retrospective cohort study links neighborhood-level data with patients' health records to describe racial/ethnic differences in uncontrolled hypertension and determine if and to what extent these differences are mediated by neighborhood socioeconomic status (nSES).&lt;h4>Methods&lt;/h4>We conducted a mediation analysis using a sample of patients with hypertension from 2 health care delivery systems in San Francisco over 2 years (n=47 031). We used generalized structural equation modeling, adjusted for age, sex, and health care system, to estimate the contribution of nSES to disparities in uncontrolled hypertension between White patients and Black, Hispanic/Latino, and Asian patients, respectively. Sensitivity analysis removed adjustment for health care system.&lt;h4>Results&lt;/h4>Over half the cohort (62%) experienced uncontrolled hypertension during the study period. Racial/ethnic groups showed substantial differences in prevalence of uncontrolled hypertension and distribution of nSES quintiles. Compared with White patients, Black, and Hispanic/Latino patients had higher adjusted odds of uncontrolled hypertension: odds ratio, 1.79 [95% CI, 1.67-1.91] and odds ratio, 1.38 [95% CI, 1.29-1.47], respectively and nSES accounted for 7% of the disparity in both comparisons. Asian patients had slightly lower adjusted odds of uncontrolled hypertension when compared with White patients: odds ratio, 0.95 [95% CI, 0.89-0.99] and the mediating effect of nSES did not change the direction of the relationship. Sensitivity analysis increased the proportion mediated by nSES to 11% between Black and White patients and 13% between Hispanic/Latino and White patients, but did not influence differences between Asian and White patients.&lt;h4>Conclusions&lt;/h4>Among patients with hypertension in this study, nSES mediated a small proportion of racial/ethnic disparities in uncontrolled hypertension. Population health management strategies may be most effective by focusing on additional structural and interpersonal pathways such as racism and discrimination in health care settings.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Feb</publication><modification>2025-04-19T17:58:09.6Z</modification><creation>2025-04-19T17:58:09.6Z</creation></dates><accession>S-EPMC8847331</accession><cross_references><pubmed>35098728</pubmed><doi>10.1161/CIRCOUTCOMES.121.008256</doi><doi>10.1161/circoutcomes.121.008256</doi></cross_references></HashMap>