Evidence map›Paper›PMID 26178202›Full record

ArticleThe patient2016

Evaluating a Decision Aid for Improving Decision Making in Patients with Early-stage Breast Cancer.

Sarah T Hawley, Lisa Newman, Jennifer J Griggs, Mary Ann Kosir, Steven J Katz

Abstract readEvaluation Study
In one paragraph

Article in The patient, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Improving Breast Cancer Surgical Treatment Decision Making: The iCanDecide Randomized Clinical Trial.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Trial
  7. Trial
  8. Review
  9. Review
  10. Article
  11. Article
  12. Decision-making Tools for Postmastectomy Breast Reconstruction: A Scoping Review.Plastic and reconstructive surgery. Global open · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Evaluating Adaptation of a Cancer Clinical Trial Decision Aid for Rural Cancer Patients: A Mixed-Methods Approach.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
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

5 authors.

Sarah T HawleyDepartment of Internal Medicine, University of Michigan, 2800 Plymouth Road, 4th Floor, Ann Arbor, MI, 48109, USA. sarahawl@umich.edu.
Lisa NewmanDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Jennifer J GriggsDepartment of Internal Medicine, University of Michigan, 2800 Plymouth Road, 4th Floor, Ann Arbor, MI, 48109, USA.
Mary Ann KosirKarmanos Cancer Institute, Detroit, MI, USA.
Steven J KatzDepartment of Internal Medicine, University of Michigan, 2800 Plymouth Road, 4th Floor, Ann Arbor, MI, 48109, USA.

Funding

Developing a Tool to Improve the Quality of Breast Cancer Treatment DecisionsR21CA129859 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HAWLEY, SARAH T · 2007 to 2008
$303k
NCI NIH HHS R21 CA129859
6 · The paper itself

Abstract

backgroundEarly-stage breast cancer patients face a series of complex treatment decisions, with the first typically being choice of locoregional treatment. There is a need for tools to support patients in this decision-making process.

methodsWe developed an innovative, online locoregional treatment tool based on International Patient Decision Aids Standards criteria. We evaluated its impact on patient knowledge about treatment and appraisal of decision making in a pilot study using a clinical sample of newly diagnosed, breast cancer patients who were randomized to view the decision aid website first or complete a survey prior to viewing the decision aid. Differences in knowledge and decision appraisal between the two groups were compared using t-tests and chi-square tests. Computer-generated preferences for treatment were compared with patients' stated preferences using chi-square tests.

resultsOne hundred and one newly diagnosed patients were randomized to view the website first or take a survey first. Women who viewed the website first had slightly higher, though not significantly, knowledge about surgery (p = 0.29) and reconstruction (p = 0.10) than the survey-first group. Those who viewed the website first also appraised their decision process significantly more favorably than did those who took the survey first (p < 0.05 for most decision outcomes). There was very good concordance between computer-suggested and stated treatment preferences.

conclusionThis pilot study suggests that an interactive decision tool shows promise for supporting early-stage breast cancer patients with complicated treatment decision making.

Indexed as

Decision Support TechniquesHealth Knowledge, Attitudes, PracticeAdultAgedAged, 80 and overBreast NeoplasmsDecision MakingFemaleHumansMammaplastyMastectomyMastectomy, SegmentalMiddle AgedPatient Education as TopicPatient ParticipationPatient Preference

Identifiers

PMID26178202
PMCPMC4715777

What OpenQuestion holds

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LicenceTDM
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.