Evidence map›Paper›PMID 28407044›Full record

Observational studyAmerican journal of hypertension2017

Health Insurance Type and Control of Hypertension Among US Women Living With and Without HIV Infection in the Women's Interagency HIV Study.

Christina Ludema, Stephen R Cole, Joseph J Eron, G Mark Holmes, Kathryn Anastos, Jennifer Cocohoba, Marge H Cohen, Hannah L F Cooper, Elizabeth T Golub, Seble Kassaye and 5 more

Open access · bronzeAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in American journal of hypertension, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

15 authors at 11 institutions in 1 country.

Christina LudemaDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, Indiana, USA.
Stephen R ColeDepartment of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Joseph J EronDivision of Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
G Mark HolmesDepartment of Health Policy and Management, UNC Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Kathryn AnastosDepartment of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, New York, New York, USA.
Jennifer CocohobaDepartment of Clinical Pharmacy, School of Pharmacy, University of California San Francisco, San Francisco, California, USA.
Marge H CohenDepartment of Medicine, Cook County Health and Hospital System, Chicago, Illinois, USA.
Hannah L F CooperDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Elizabeth T GolubDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Seble KassayeDivision of Infectious Diseases and Travel Medicine, Department of Medicine, Georgetown University, Washington, District of Columbia, USA.
Deborah Konkle-ParkerDivision of Infectious Diseases, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Lisa MetschDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.
Joel MilamKeck School of Medicine, University of Southern California, Los Angeles, California, USA.
Tracey E WilsonDepartment of Community Health Sciences, School of Public Health, State University of New York (SUNY) Downstate Medical Center, Brooklyn, New York, USA.
Adaora A AdimoraDepartment of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · USColumbia University · USCook County Health and Hospitals System · USEmory University · USGeorgetown University · USIndiana University Bloomington · USJackson Memorial Hospital · USJohns Hopkins University · USMontefiore Medical Center · USUniversity of California, San Francisco · USUniversity of Southern California · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Women's Interagency HIV Study (WIHS) IIIU01AI031834 · NIAID · SUNY DOWNSTATE MEDICAL CENTER · PI GUSTAFSON, DEBORAH R., MINKOFF, HOWARD · 1998 to 2018
$53.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
$42.0M
WIHS DATA MANAGEMENT AND ANALYSIS CENTER(WDMAC)U01AI042590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GANGE, STEPHEN J, GOLUB, ELIZABETH T · 1998 to 2018
$38.4M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR002378NHLBI NIH HHS U01 HL146194NIAID NIH HHS P30 AI050410NIAID NIH HHS R38 AI140299NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI042590NIAID NIH HHS U01 AI103390NIAID NIH HHS U01 AI103397NIAID NIH HHS U01 AI103401NIAID NIH HHS U01 AI103408NIA NIH HHS U54 AG062334NICHD NIH HHS K24 HD059358NICHD NIH HHS U01 HD032632NIMH NIH HHS P30 MH043520
6 · The paper itself

Abstract

backgroundHealth care access is an important determinant of health. We assessed the effect of health insurance status and type on blood pressure control among US women living with (WLWH) and without HIV.

methodsWe used longitudinal cohort data from the Women's Interagency HIV Study (WIHS). WIHS participants were included at their first study visit since 2001 with incident uncontrolled blood pressure (BP) (i.e., BP ≥140/90 and at which BP at the prior visit was controlled (i.e., <135/85). We assessed time to regained BP control using inverse Kaplan-Meier curves and Cox proportional hazard models. Confounding and selection bias were accounted for using inverse probability-of-exposure-and-censoring weights.

resultsMost of the 1,130 WLWH and 422 HIV-uninfected WIHS participants who had an elevated systolic or diastolic measurement were insured via Medicaid, were African-American, and had a yearly income ≤$12,000. Among participants living with HIV, comparing the uninsured to those with Medicaid yielded an 18-month BP control risk difference of 0.16 (95% CI: 0.10, 0.23). This translates into a number-needed-to-treat (or insure) of 6; to reduce the caseload of WLWH with uncontrolled BP by one case, five individuals without insurance would need to be insured via Medicaid. Blood pressure control was similar among WLWH with private insurance and Medicaid. There were no differences observed by health insurance status on 18-month risk of BP control among the HIV-uninfected participants.

conclusionsThese results underscore the importance of health insurance for hypertension control-especially for people living with HIV.

Indexed as

Insurance CoverageInsurance, HealthAdultAntihypertensive AgentsBlood PressureFemaleHealth Services AccessibilityHIV InfectionsHumansHypertensionKaplan-Meier EstimateLongitudinal StudiesMedicaidMedically UninsuredMiddle AgedPrivate SectorAntihypertensive Agentsblood pressurehealth insuranceHIVhypertensionwomen.

Identifiers

PMID28407044
PMCPMC5861569
OpenAlexW2606750784

What OpenQuestion holds

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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.