Evidence map›Paper›PMID 38599938›Full record

ArticleWomen's health issues : official publication of the Jacobs Institute of Women's Health

Delays in Care by Race, Ethnicity, and Gender Before and During the COVID-19 Pandemic Using Cross-Sectional Data From the National Institutes of Health's All of Us Research Program.

Katherine A Hill, Vivian Colón-López

Abstract read
In one paragraph

Article in Women's health issues : official publication of the Jacobs Institute of Women's Health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

2 authors.

Katherine A HillDepartment of Neurology, Mayo Clinic, Rochester, Minnesota. Electronic address: hill.katherine2@mayo.edu.
Vivian Colón-LópezUniversity of Puerto Rico Comprehensive Cancer Center, Cancer Control and Population Sciences Division, San Juan, Puerto Rico.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NCI NIH HHS R25 CA240120NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

purposeDelays in receiving medical care are an urgent problem. This study aims to determine whether the odds of, and reasons for, experiencing care delays differ by gender, race-ethnicity, and survey completion before versus during the COVID-19 pandemic.

methodsWe conducted a cross-sectional analysis of survey data from participants age ≥18 in the National Institutes of Health's All of Us Research Program collected from May 6, 2018, to January 1, 2022. Logistic regressions were performed to assess the association of gender, race-ethnicity, and survey completion date with any of nine reasons for delaying care in the past 12 months.

resultsOf 119,983 participants, 37.8% reported delaying care in the past 12 months. After adjusting for employment status, education, income, marital status, health insurance, and age, women of every race-ethnicity and Black and other race-ethnicity men were more likely than white men to report delays in care: Asian women (odds ratio [OR] 1.23; 95% confidence interval [CI] [1.13, 1.34]), Black men (OR 1.15; 95% CI [1.05, 1.25]) and women (OR 1.46; 95% CI [1.38, 1.54]), Hispanic women (OR 1.36; 95% CI [1.28, 1.44]), white women (OR 1.55; 95% CI [1.50, 1.60]), and other race-ethnicity men (OR 1.15; 95% CI [1.05, 1.27]) and women (OR 1.79; 95% CI [1.67, 1.91]). A small but statistically significant difference was seen in reports of care delays for non-pandemic-related reasons during versus before the COVID-19 pandemic (OR 0.88; 95% CI [0.83, 0.93]).

conclusionsIn this study of a diverse group of U.S. participants, women and Black and other race-ethnicity men were more likely than white men to report delays in care, both before and during COVID-19. Addressing care delays may be necessary to ameliorate health disparities by race-ethnicity and gender.

Indexed as

COVID-19EthnicityTreatment DelayAdolescentAdultAgedCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMaleMiddle AgedNational Institutes of Health (U.S.)PandemicsRacial Groups

Identifiers

PMID38599938
PMCPMC11297690

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Registered trials

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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.