↓ Skip to main content

What matters most: protocol for a randomized controlled trial of breast cancer surgery encounter decision aids across socioeconomic strata

Overview of attention for article published in BMC Public Health, February 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
188 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
What matters most: protocol for a randomized controlled trial of breast cancer surgery encounter decision aids across socioeconomic strata
Published in
BMC Public Health, February 2018
DOI 10.1186/s12889-018-5109-2
Pubmed ID
Authors

Marie-Anne Durand, Renata West Yen, A. James O’Malley, Mary C. Politi, Shubhada Dhage, Kari Rosenkranz, Katie Weichman, Julie Margenthaler, Anna N. A. Tosteson, Eloise Crayton, Sherrill Jackson, Ann Bradley, Robert J. Volk, Karen Sepucha, Elissa Ozanne, Sanja Percac-Lima, Julia Song, Jocelyn Acosta, Nageen Mir, Glyn Elwyn

Abstract

Breast cancer is the most commonly diagnosed malignancy in women. Mastectomy and breast-conserving surgery (BCS) have equivalent survival for early stage breast cancer. However, each surgery has different benefits and harms that women may value differently. Women of lower socioeconomic status (SES) diagnosed with early stage breast cancer are more likely to experience poorer doctor-patient communication, lower satisfaction with surgery and decision-making, and higher decision regret compared to women of higher SES. They often play a more passive role in decision-making and are less likely to undergo BCS. Our aim is to understand how best to support women of lower SES in making decisions about early stage breast cancer treatments and to reduce disparities in decision quality across socioeconomic strata. We will conduct a three-arm, multi-site randomized controlled superiority trial with stratification by SES and clinician-level randomization. At four large cancer centers in the United States, 1100 patients (half higher SES and half lower SES) will be randomized to: (1) Option Grid, (2) Picture Option Grid, or (3) usual care. Interviews, field-notes, and observations will be used to explore strategies that promote the interventions' sustained use and dissemination. Community-Based Participatory Research will be used throughout. We will include women aged at least 18 years of age with a confirmed diagnosis of early stage breast cancer (I to IIIA) from both higher and lower SES, provided they speak English, Spanish, or Mandarin Chinese. Our primary outcome measure is the 16-item validated Decision Quality Instrument. We will use a regression framework, mediation analyses, and multiple informants analysis. Heterogeneity of treatment effects analyses for SES, age, ethnicity, race, literacy, language, and study site will be performed. Currently, women of lower SES are more likely to make treatment decisions based on incomplete or uninformed preferences, potentially leading to poorer decision quality, quality of life, and decision regret. This study hopes to identify solutions that effectively improve patient-centered care across socioeconomic strata and reduce disparities in decision and care quality. NCT03136367 at ClinicalTrials.gov Protocol version: Manuscript based on study protocol version 2.2, 7 November 2017.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 188 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 17%
Researcher 23 12%
Student > Ph. D. Student 19 10%
Student > Bachelor 13 7%
Other 8 4%
Other 30 16%
Unknown 63 34%
Readers by discipline Count As %
Medicine and Dentistry 35 19%
Nursing and Health Professions 24 13%
Social Sciences 12 6%
Psychology 9 5%
Biochemistry, Genetics and Molecular Biology 7 4%
Other 28 15%
Unknown 73 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2019.
All research outputs
#12,874,165
of 23,028,364 outputs
Outputs from BMC Public Health
#8,811
of 14,999 outputs
Outputs of similar age
#205,280
of 446,083 outputs
Outputs of similar age from BMC Public Health
#219
of 291 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,999 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.