Evidence map›Paper›PMID 35107714›Full record

ArticleBreast cancer research and treatment2022

A web-based personalized decision support tool for patients diagnosed with ductal carcinoma in situ: development, content evaluation, and usability testing.

Ilona Fridman, Lok Chan, Jennifer Thomas, Laura J Fish, Margaret Falkovic, Jacquelyn Brioux, Nicole Hunter, Daniel H Ryser, E Shelley Hwang, Kathryn I Pollak and 2 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 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. Article
  2. Article
  3. Observational
  4. Review
  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.

Ilona Fridman *Fuqua Business School, Duke University, Durham, NC, USA.
Lok Chan *Social Science Research Institute, Duke University, Durham, NC, USA.
Jennifer ThomasDepartment of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
Laura J FishDepartment of Family Medicine and Community Health, Duke University Medical Center, Durham, NC, USA.
Margaret FalkovicDepartment of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
Jacquelyn Brioux, Alexandria, VA, USA.
Nicole HunterSchool of Arts and Sciences, Duke University, Durham, NC, USA.
Daniel H Ryser, Solothurn, SO, Switzerland.
E Shelley HwangCancer Prevention and Control, Duke Cancer Institute, Durham, NC, USA.
Kathryn I PollakDepartment of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
Kevin P WeinfurtDepartment of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
Marc D RyserDepartment of Population Health Sciences, Duke University Medical Center, Durham, NC, USA. marc.ryser@duke.edu.ORCID http://orcid.org/0000-0002-4990-0849

Funding

Cancer Care Quality Training ProgramT32CA116339 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ETHAN M. BASCH, Stephanie Brooke Wheeler · 2018 to 2026
$3.0M
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskR00CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2018 to 2020
$746k
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskK99CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2016 to 2017
$318k
NCI NIH HHS K99 CA207872NCI NIH HHS R00 CA207872NCI NIH HHS T32 CA116339NIH HHS R00CA207872
6 · The paper itself

Abstract

purposePatients diagnosed with ductal carcinoma in situ (DCIS) face trade-offs when deciding among different treatments, including surgery, radiation, and endocrine therapy. A less chosen option is active monitoring. While evidence from clinical trials is not yet available, observational studies show comparable results for active monitoring and immediate treatment on cancer outcomes in select subgroups of patients. We developed and tested a web-based decision support tool (DST) to help patients explore current knowledge about DCIS and make an informed choice.

methodsThe DST, an interactive web application, was informed by literature reviews and formative work with patients, breast surgeons, and health communication experts. We conducted iterative interviews to evaluate the DST content among women with and without a history of breast cancer, as well as breast cancer experts. For usability testing, we conducted an online survey among women with and without a history of breast cancer.

resultsFor content evaluation, 5 women with and 10 women without a history of DCIS were interviewed. The sample included 11 White and 4 non-White women, with a mean age of 64 years. The expert sample consisted of 5 attendings and a physician assistant. The feedback was used to add, clarify, or reorganize information in the DST. For usability testing, 22 participants with a mean age of 61 years were recruited including 15 White and 7 Black women and 6 women with a history of DCIS. The mean usability score was 3.7 out of 5. Most participants (86%) found that the DST provided unbiased information about treatments. To improve usability, we reduced the per-page content and added navigation cues.

conclusionContent and usability evaluation showed that the DST helps patients explore trade-offs of active monitoring and immediate treatment. By adopting a personalized approach, the tool will enable informed decisions aligned with patients' values and expectations.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingFemaleHumansInternetMiddle AgedUser-Centered DesignUser-Computer InterfaceActive monitoringBreast cancerBreast surgeryDecision-makingDecision support toolDuctal carcinoma in situPatient-centered care

Identifiers

PMID35107714
PMCPMC10270310

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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.