Evidence map›Paper›PMID 33676583›Full record

ArticleImplementation science communications2021

Implementation of prostate cancer treatment decision aid in Michigan: a qualitative study.

Roshan Paudel, Stephanie Ferrante, Jessica Woodford, Conrad Maitland, Eric Stockall, Thomas Maatman, Giulia I Lane, Donna L Berry, Anne E Sales, James E Montie and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Implementation science communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Roshan PaudelDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA. rpaudel@umich.edu.ORCID http://orcid.org/0000-0002-8584-7045
Stephanie FerranteMichigan Urological Surgery Improvement Collaborative, University of Michigan, Ann Arbor, MI, USA.
Jessica WoodfordUniversity of Michigan, Ann Arbor, MI, USA.
Conrad MaitlandSherwood Medical Center, Detroit, MI, USA.
Eric StockallCapital Urological Associates, Okemos, MI, USA.
Thomas MaatmanMichigan Urological Clinic, Grand Rapids, MI, USA.
Giulia I LaneDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Donna L BerryDepartment of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, USA.
Anne E SalesDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA.
James E MontieMichigan Urological Surgery Improvement Collaborative, University of Michigan, Ann Arbor, MI, USA.
Michigan Urological Surgery Improvement Collaborative (MUSIC), Ann Arbor, Michigan, USA
University of Michigan · USUniversity of Washington · USUrology Associates · US

Funding

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 DK126232
6 · The paper itself

Abstract

backgroundThe American Urological Association White Paper on Implementation of Shared Decision Making (SDM) into Urological Practice suggested SDM represents the state of the art in counseling for patients who are faced with difficult or uncertain medical decisions. The Michigan Urological Surgery Improvement Collaborative (MUSIC) implemented a decision aid, Personal Patient Profile-Prostate (P3P), in 2018 to help newly diagnosed prostate cancer patients make shared decisions with their clinicians. We conducted a qualitative study to assess statewide implementation of P3P throughout MUSIC.

methodsWe recruited urologists and staff from 17 MUSIC practices (8 implementation and 9 comparator practices) to understand how practices engaged patients on treatment discussions and to assess facilitators and barriers to implementing P3P. Interview guides were developed based on the Tailored Interventions for Chronic Disease (TICD) Framework. Interviews were transcribed for analysis and coded independently by two investigators in NVivo, PRO 12. Additionally, quantitative program data were integrated into thematic analyses.

resultsWe interviewed 15 urologists and 11 staff from 16 practices. Thematic analysis of interview transcripts indicated three key themes including the following: (i) P3P is compatible as a SDM tool as over 80% of implementation urologists asked patients to complete the P3P questionnaire routinely and used P3P reports during treatment discussions; (ii) patient receptivity was demonstrated by 370 (50%) of newly diagnosed patients (n = 737) from 8 practices enrolled in P3P with 78% completion rate, which accounts for 39% of all newly diagnosed patients in these practices; and (iii) urologists' attitudes towards SDM varied. Over a third of urologists stated they did not rely on a decision aid. Comparator practices indicated habit, inertia, or concerns about clinic flow as reasons for not adopting P3P and some were unconvinced a decision aid is needed in their practice.

conclusionUrologists and staff affiliated with MUSIC implementation sites indicated that P3P focuses the treatment discussion on items that are important to patients. Experiences of implementation practices indicate that once initiated, there were no negative effects on clinic flow and urologists indicated P3P saves time during patient counseling, as patients were better prepared for focused discussions. Lack of awareness, personal habits, and inertia are reasons for not implementing P3P among the comparator practices.

Indexed as

Decision aidProstate cancer treatmentShared decision-making

Identifiers

PMID33676583
PMCPMC7936475
OpenAlexW3133898284

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.