Evidence map›Paper›PMID 37421403›Full record

ArticleJournal of the National Cancer Institute2023

The decision aid is the easy part: workflow challenges of shared decision making in cancer care.

Megan E Salwei, Jessica S Ancker, Matthew B Weinger

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Providing information to prepare breast cancer patients for their surgical consultation: barriers and recommendations (an analysis from Alliance A231701CD).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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.

Megan E SalweiCenter for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-5457-2501
Jessica S AnckerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-3859-9130
Matthew B WeingerCenter for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-8897-2688

Funding

Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
COMputerized PAtient-centered Collaborative Technology (COMPACT) to Support Personalized Decision Making in Breast CancerK01HS029042 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SALWEI, MEGAN ELIZABETH · 2022 to 2025
$494k
AHRQ HHS K01 HS029042AHRQ HHS K12 HS026395
6 · The paper itself

Abstract

Delivering high-quality, patient-centered cancer care remains a challenge. Both the National Academy of Medicine and the American Society of Clinical Oncology recommend shared decision making to improve patient-centered care, but widespread adoption of shared decision making into clinical care has been limited. Shared decision making is a process in which a patient and the patient's health-care professional weigh the risks and benefits of different options and come to a joint decision on the best course of action for that patient on the basis of their values, preferences, and goals for care. Patients who engage in shared decision making report higher quality of care, whereas patients who are less involved in these decisions have statistically significantly higher decisional regret and are less satisfied. Decision aids can improve shared decision making-for example, by eliciting patient values and preferences that can then be shared with clinicians and by providing patients with information that may influence their decisions. However, integrating decision aids into the workflows of routine care is challenging. In this commentary, we explore 3 workflow-related barriers to shared decision making: the who, when, and how of decision aid implementation in clinical practice. We introduce readers to human factors engineering and demonstrate its potential value to decision aid design through a case study of breast cancer surgical treatment decision making. By better employing the methods and principles of human factors engineering, we can improve decision aid integration, shared decision making, and ultimately patient-centered cancer outcomes.

Indexed as

Breast NeoplasmsDecision Making, SharedDecision MakingDecision Support TechniquesFemaleHumansPatient-Centered CarePatient ParticipationWorkflow

Identifiers

PMID37421403
PMCPMC13389708

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.