Evidence map›Paper›PMID 35855922›Full record

ArticlePreventive medicine reports2022

Adapting a Theoretically-Based intervention for underserved clinical populations at increased risk for hereditary Cancer: Lessons learned from the

Alejandra Hurtado-de-Mendoza, Valerie F Reyna, Christopher R Wolfe, Sara Gómez-Trillos, Arnethea L Sutton, Ashleigh Brennan, Vanessa B Sheppard

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine reports, 2022. 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
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Timing ofCancer control : journal of the Moffitt Cancer Center
    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

7 authors.

Alejandra Hurtado-de-MendozaDepartment of Oncology, Georgetown University Medical Center, Washington, DC, USA.
Valerie F ReynaHuman Neuroscience Institute, Cornell University, Ithaca, NY, USA.
Christopher R WolfeDepartment of Psychology, Miami University, Oxford, OH, USA.
Sara Gómez-TrillosDepartment of Oncology, Georgetown University Medical Center, Washington, DC, USA.
Arnethea L SuttonDepartment of Health Behavior Policy, Virginia Commonwealth University, VA, USA.
Ashleigh BrennanDepartment of Oncology, Georgetown University Medical Center, Washington, DC, USA.
Vanessa B SheppardDepartment of Health Behavior Policy, Virginia Commonwealth University, VA, USA.

Funding

Testing an Intelligent Tutoring System Intervention to Enhance Genetic Risk Assessment in Underserved Blacks and Latinas at Risk of Hereditary Breast CancerR21NR016905 · NINR · GEORGETOWN UNIVERSITY · PI HURTADO DE MENDOZA CASAUS, ALEJANDRA, SHEPPARD, VANESSA B · 2017 to 2018
$459k
NINR NIH HHS R21 NR016905
6 · The paper itself

Abstract

Background: Minorities at increased risk for Hereditary Breast and Ovarian Cancer (HBOC) frequently have low awareness and use of genetic counseling and testing (GCT). Making sure that evidence-based interventions (EBIs) reach minorities is key to reduce disparities. Methods: Genetic counselors (n = 20) were recruited nationally; at-risk Latinas and Blacks (n = 21) were recruited in Washington DC and Virginia. They completed the Results: At-risk women had a significantly higher acceptability ( Conclusions: Findings illustrate the process of integrating fidelity and adaptation considerations to ensure that EBIs retain their core components while enhancing the fit to minoritized clinical populations. Future studies will test the efficacy of the adapted

Indexed as

AdaptationFuzzy-trace theoryHereditary breast and ovarian cancerImplementation scienceMinoritiesTranslational genomics

Identifiers

PMID35855922
PMCPMC9287635

What OpenQuestion holds

Textmetadata
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.