Evidence map›Paper›PMID 37791247›Full record

ArticleAJPM focus2022

Assessing Intersectional Disparities in Cervical Cancer Screening by Disability Status, Race, and Ethnicity.

Preeti Pushpalata Zanwar, Melinda M Davis, Willi Horner-Johnson

Abstract read
In one paragraph

Article in AJPM focus, 2022. 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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

3 authors.

Preeti Pushpalata ZanwarApplied Health Economics & Outcomes Research & Health Policy, Jefferson College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania.
Melinda M DavisOregon Health & Science University-Portland State University School of Public Health, Portland, Oregon.
Willi Horner-JohnsonOregon Health & Science University-Portland State University School of Public Health, Portland, Oregon.

Funding

Using Context to Improve Implementation of Evidenced-based Interventions for Colorectal Cancer Screening in Rural Primary Care (Precise CRC)K07CA211971 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVIS, MELINDA MARIE · 2017 to 2020
$683k
NCI NIH HHS K07 CA211971
6 · The paper itself

Abstract

Introduction: Separate bodies of research have studied disparities by disability status and by race or ethnicity in receipt of cervical cancer screening. Much less is known about how these disparities intersect. The purpose of this study was to evaluate disparities in compliance with the U.S. Preventive Services Task Force guidelines for Pap testing in age-eligible women at the intersection of disability and race or ethnicity. Methods: We conducted cross-sectional analyses of the Medical Expenditure Panel Survey Household Component deidentified public data files pooled for years 2007-2016, using a modified Poisson regression analysis to compute prevalence ratios for being up to date with Pap testing by disability status and race or ethnicity. We also calculated predicted marginal proportions adjusting for demographic and socioeconomic covariates. Results: The analytic sample included 68,507 women with nonmissing covariates; 15.6% had a disability. Overall, the proportion current with Pap testing was significantly lower among women with disabilities than among those without disabilities (82.1% vs 88.6%, Conclusions: Our results extend previous research focused separately on disability or race and ethnicity. Women with disabilities in all racial and ethnic groups fell short of

Indexed as

cervical cancer screeningethnic groupsHealthcare disparitiespersons with disabilitiesracial groupswomen's health

Identifiers

PMID37791247
PMCPMC10546533

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.