Evidence map›Paper›PMID 35722246›Full record

ArticleUrology practice2022

Factors Associated with Decision Aid Use in Localized Prostate Cancer.

Giulia I Lane, Ajith Dupati, Ji Qi, Stephanie Ferrante, Rodney L Dunn, Roshan Paudel, Daniela Wittmann, Lauren Wallner, Donna L Berry, Chad Ellimoottil and 2 more

Abstract read
In one paragraph

Article in Urology practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. 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

12 authors.

Giulia I LaneDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Ajith DupatiWayne State University School of Medicine, Detroit, MI, USA.
Ji QiDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Stephanie FerranteDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Rodney L DunnDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Roshan PaudelHealth Infrastructures and Learning Systems, University of Michigan, Ann Arbor, MI, USA.
Daniela WittmannDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Lauren WallnerDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Donna L BerryBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, USA.
Chad EllimoottilDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
James MontieDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
J Quentin ClemensDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.

Funding

University of Michigan UroEPI Career Development ProgramK12DK111011 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CLEMENS, J. QUENTIN, SARMA, ARUNA V · 2016 to 2025
$3.6M
Improving urinary and sexual dysfunction after prostate surgery using shared decision makingF32DK126232 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI IPPOLITO, GIULIA MARIA ROSA · 2020 to 2021
$83k
NIDDK NIH HHS F32 DK126232NIDDK NIH HHS K12 DK111011
6 · The paper itself

Abstract

Purpose: Decision aids have been found to improve patients' knowledge of treatments and decrease decisional regrets. Despite these benefits, there is not widespread use of decision aids for newly diagnosed prostate cancer (PCa). This analysis investigates factors that impact men's choice to use a decision aid for newly diagnosed prostate cancer. Materials and Methods: This is a retrospective analysis of a PCa registry from the Michigan Urological Surgery Improvement Collaborative (MUSIC). We included data from men with newly diagnosed, clinically localized PCa seen from 2018-21 at practices offering a PCa decision aid (Personal Patient Profile-Prostate; P3P). The primary outcome was men's registration to use P3P. We fit a multilevel logistic regression model with patient-level factors and included urologist specific random intercepts. We estimated the intra-class correlation (ICC) and predicted the probability of P3P registration among urologists. Results: A total of 2629 men were seen at practices that participated in P3P and 1174 (45%) registered to use P3P. Forty-one percent of the total variance of P3P registration was attributed to clustering of men under a specific urologist's care. In contrast, only 1.5% of the variance of P3P registration was explained by patient factors. Our model did not include data on socioeconomic, literacy or psychosocial factors, which limits the interpretation of the results. Conclusions: These results suggest that urologists' effect far outweighs patient factors in a man's decision to enroll in P3P. Strategies that encourage providers to increase decision aid adoption in their practices are warranted.

Indexed as

CommunicationDecision aidDecision MakingDecision Support TechniquesHealth Services ResearchPatient-Centered CareProstatic NeoplasmsSharedUrologic DiseaseUrologists

Identifiers

PMID35722246
PMCPMC9205471

What OpenQuestion holds

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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.