Evidence map›Paper›PMID 30076569›Full record

ArticleJournal of general internal medicine2018

Multi-level Influences on Breast Cancer Screening in Primary Care.

Tracy Onega, Tor D Tosteson, Julie Weiss, Jennifer S Haas, Martha Goodrich, Roberta DiFlorio, Charles Brackett, Cheryl Clark, Kimberly Harris, Anna N A Tosteson

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06305312 (Community Services Navigation to Advance Health Equity in Breast Cancer Screening), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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.

NCT06305312 narecruitingnot on this mapstarted 2024, after this paper: background citation

Community Services Navigation to Advance Health Equity in Breast Cancer Screening

TypeinterventionalSponsorUniversity of UtahRan2024 to 2028Enrolled1,450ConditionsBreast CancerArmsCommunity Service Navigation, Usual Care
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 6 institutions in 1 country.

Tracy OnegaDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Tor D TostesonDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Julie WeissDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Jennifer S HaasDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Martha GoodrichDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. martha.e.goodrich@Dartmouth.edu.
Roberta DiFlorioDepartment of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Charles BrackettDepartment of General Internal Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Cheryl ClarkDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Kimberly HarrisDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Anna N A TostesonNorris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Brigham and Women's Hospital · USDartmouth College · USDartmouth–Hitchcock Medical Center · USDartmouth Institute for Health Policy and Clinical Practice · USCotton (United States) · USHarvard University · US

Funding

Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
NCI NIH HHS U54 CA163307
6 · The paper itself

Abstract

backgroundUse of breast cancer screening is influenced by factors associated with patients, primary care providers, practices, and health systems.

objectiveWe examined the relative effects of these nested levels on four breast cancer screening metrics.

designA web-based survey was completed at 15 primary care practices within two health systems representing 306 primary care providers (PCPs) serving 46,944 women with a primary care visit between 1/2011-9/2014. Analyses occurred between 1/2017 and 5/2017. MAIN MEASURES: Across four nested levels (patient, PCP, primary care practice, and health system), frequency distributions and adjusted rates of primary care practice characteristics and survey results for four breast screening metrics (percent screened overall, and percent screened age 40-49, 50-74, and 75+) were reported. We used hierarchical multi-level mixed and random effects analysis to assess the relative influences of PCP, primary care practice, and health system on the breast screening metrics. KEY

resultsOverall, the proportion of women undergoing breast cancer screening was 73.1% (73.4% for ages 40-49, 76.5% for 50-74, and 51.1% for 75+). Patient ethnicity and number of primary care visits were strongly associated with screening rates. After adjusting for woman-level factors, 24% of the overall variation among PCPs was attributable to the primary care practice level, 35% to the health system level, and 41% to the residual variation among PCPs within practice. No specific provider-level characteristics were found to be statistically significant determinants of screening rates.

conclusionsAfter accounting for woman-level characteristics, the remaining variation in breast cancer screening was largely due to provider and health system variation.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsEarly Detection of CancerFemaleHealth Care SurveysHumansMammographyMassachusettsMass ScreeningMiddle AgedNew HampshirePrimary Health CareProfessional Practicebreast cancer screeningprimary care practice breast screening

Identifiers

PMID30076569
PMCPMC6153219
OpenAlexW2887665605

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.