Evidence map›Paper›PMID 35098728›Full record

ArticleCirculation. Cardiovascular quality and outcomes2022

Examining Neighborhood Socioeconomic Status as a Mediator of Racial/Ethnic Disparities in Hypertension Control Across Two San Francisco Health Systems.

Emily F Liu, Anna D Rubinsky, Lucia Pacca, Mahasin Mujahid, Valy Fontil, Mindy C DeRouen, Jessica Fields, Kirsten Bibbins-Domingo, Courtney R Lyles

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Emily F LiuSchool of Public Health, University of California, Berkeley, CA (E.F.L., M.M.).ORCID 0000-0002-4036-4971
Anna D RubinskyDepartment of Epidemiology and Biostatistics (A.D.R., M.C.D., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.ORCID 0000-0002-8977-4779
Lucia PaccaDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital (L.P., V.F., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.
Mahasin MujahidSchool of Public Health, University of California, Berkeley, CA (E.F.L., M.M.).ORCID 0000-0001-9795-9338
Valy FontilDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital (L.P., V.F., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.ORCID 0000-0003-0795-3237
Mindy C DeRouenDepartment of Epidemiology and Biostatistics (A.D.R., M.C.D., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.
Jessica FieldsDepartment of Epidemiology and Biostatistics (A.D.R., M.C.D., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.ORCID 0000-0003-1131-6329
Kirsten Bibbins-DomingoDepartment of Epidemiology and Biostatistics (A.D.R., M.C.D., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.
Courtney R LylesDepartment of Epidemiology and Biostatistics (A.D.R., M.C.D., J.F., K.B.-D., C.R.L.), University of California, San Francisco, CA.ORCID 0000-0002-1111-8595
San Francisco General Hospital · USUniversity of California, San Francisco · USCenter for Environmental Health · USUniversity of California, Berkeley · US

Funding

Creating Community Driven, Personalized Health Maps for Patients with DiabetesR01LM013045 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2018 to 2021
$1.5M
NLM NIH HHS R01 LM013045
6 · The paper itself

Abstract

backgroundA 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).

methodsWe 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.

resultsOver 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.

conclusionsAmong 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.

Indexed as

EthnicityHypertensionHealth Status DisparitiesHumansRetrospective StudiesSan FranciscoSocial Classblood pressurecardiovascular diseaseshypertensionprevalenceracism

Identifiers

PMID35098728
PMCPMC8847331
OpenAlexW4210408474

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.