Evidence map›Paper›PMID 26171096›Full record

ArticleEplasty2015

Design and Focus Test of a Preconsultation Decision Aid for Breast Cancer Reconstruction Patients: A Quality Improvement Initiative.

Kenneth J Hui, Xiang X Liu, Anna Luan, Gordon K Lee

Abstract read
In one paragraph

Article in Eplasty, 2015. 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.

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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

4 authors.

Kenneth J HuiDivision of Plastic and Reconstructive Surgery, Stanford University Medical Center, Stanford, Calif.
Xiang X LiuDivision of Plastic and Reconstructive Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Anna LuanDivision of Plastic and Reconstructive Surgery, Stanford University Medical Center, Stanford, Calif.
Gordon K LeeDivision of Plastic and Reconstructive Surgery, Stanford University Medical Center, Stanford, Calif.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo design, develop, and evaluate via focus group a preconsultation decision aid to improve patient satisfaction for breast reconstruction.

methodsThe design of the decision aid was based on perceived patient needs, literature, existing decision aids, and current standard of breast cancer reconstruction treatment and consultation at Stanford. Our decision aid was designed to (1) reducing fear of the unknown in patients via providing a knowledge base that they can rely on, (2) helping patients identify their key breast reconstruction concerns, (3) addressing common patient concerns, (4) providing a framework to help patients identify the treatment option that may be right for them, and (5) promoting shared decision making. Physicians were consulted on the decision aid, following which a focus group was conducted for patient feedback.

resultsInterviewed patients (n = 12) were supportive of the decision aid initiative. Participants were especially pleased with the side-by-side comparison of surgical options and the parsimonious way information was represented. All patients before undergoing reconstruction (n = 3) requested the decision guide to reference at home. All interviewed patients believed information level was "about right."

conclusionsDecision aid was well received by patients in the focus group. As the initiative is for quality improvement, we saw no need to further delay the distribution of the decision aid. A pilot study will be conducted to evaluate whether our decision aid has an effect on patients' decision regret, stress, and anxiety.

Indexed as

breast reconstructionclinical outcomesdecision aidpatient satisfactionregret

Identifiers

PMID26171096
PMCPMC4485615

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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.