Evidence map›Paper›PMID 38822923›Full record

ArticleJournal of immigrant and minority health2024

Limited Evidence of Shared Decision Making for Prostate Cancer Screening in Audio-Recorded Primary Care Visits Among Black Men and their Healthcare Providers.

Elizabeth R Stevens, Jerry Thomas, Natalia Martinez-Lopez, Angela Fagerlin, Shannon Ciprut, Michele Shedlin, Heather T Gold, Huilin Li, J Kelly Davis, Ada Campagna and 5 more

Abstract read
In one paragraph

Article in Journal of immigrant and minority health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Elizabeth R StevensDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA. Elizabeth.Stevens@nyulangone.org.ORCID http://orcid.org/0000-0001-6063-1523
Jerry ThomasDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Natalia Martinez-LopezDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Angela FagerlinDepartment of Population Health Sciences, University of Utah Spencer Eccles School of Medicine, Salt Lake City, UT, USA.
Shannon CiprutDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Michele ShedlinNYU College of Nursing, New York, NY, USA.
Heather T GoldDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Huilin LiDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
J Kelly DavisThe Fuqua School of Business, Duke University, Durham, NC, USA.
Ada CampagnaThe Fuqua School of Business, Duke University, Durham, NC, USA.
Sandeep BhatSunset Park Health Council, Brooklyn, NY, USA.
Rueben WarrenNational Center for Bioethics in Research and Health Care, Tuskegee University, Tuskegee, USA.
Peter UbelThe Fuqua School of Business, Duke University, Durham, NC, USA.
Joseph E RavenellDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Danil V MakarovDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Randomized trial of community health worker-led decision coaching to promote shared decision making for prostate cancer screening among Black male patients and their providersR01MD012243 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MAKAROV, DANIL V., RAVENELL, JOSEPH E · 2018 to 2022
$3.9M
Blank Family Foundation Blank Family FoundationNCI NIH HHS P30 CA016087NIMHD NIH HHS 5R01MD012243NIMHD NIH HHS R01 MD012243NYU Langone Medical Center P30CA016087
6 · The paper itself

Abstract

Prostate-specific antigen (PSA)-based prostate cancer screening is a preference-sensitive decision for which experts recommend a shared decision making (SDM) approach. This study aimed to examine PSA screening SDM in primary care. Methods included qualitative analysis of audio-recorded patient-provider interactions supplemented by quantitative description. Participants included 5 clinic providers and 13 patients who were: (1) 40-69 years old, (2) Black, (3) male, and (4) attending clinic for routine primary care. Main measures were SDM element themes and "observing patient involvement in decision making" (OPTION) scoring. Some discussions addressed advantages, disadvantages, and/or scientific uncertainty of screening, however, few patients received all SDM elements. Nearly all providers recommended screening, however, only 3 patients were directly asked about screening preferences. Few patients were asked about prostate cancer knowledge (2), urological symptoms (3), or family history (6). Most providers discussed disadvantages (80%) and advantages (80%) of PSA screening. Average OPTION score was 25/100 (range 0-67) per provider. Our study found limited SDM during PSA screening consultations. The counseling that did take place utilized components of SDM but inconsistently and incompletely. We must improve SDM for PSA screening for diverse patient populations to promote health equity. This study highlights the need to improve SDM for PSA screening.

Indexed as

Black or African AmericanDecision Making, SharedEarly Detection of CancerPrimary Health CareProstate-Specific AntigenProstatic NeoplasmsAdultAgedDecision MakingHumansMaleMiddle AgedPatient ParticipationPhysician-Patient RelationsQualitative ResearchTape RecordingProstate-Specific AntigenPrimary CareProstate Cancer ScreeningProstate-Specific Antigen testShared decision making

Identifiers

PMID38822923
PMCPMC11412785

What OpenQuestion holds

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LicenceCC BY
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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.