Evidence map›Paper›PMID 23286611›Full record

Trial reportThe American journal of managed care2012

Population-based breast cancer screening in a primary care network.

Steven J Atlas, Jeffrey M Ashburner, Yuchiao Chang, William T Lester, Michael J Barry, Richard W Grant

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of managed care, 2012. 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. Article
  4. Multilevel Intervention Raises Latina Participation in Mammography Screening: Findings from ¡Fortaleza Latina!Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
  5. 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

6 authors.

Steven J AtlasGeneral Medicine Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. satlas@partners.org
Jeffrey M Ashburner
Yuchiao Chang
William T Lester
Michael J Barry
Richard W Grant

Funding

Technology for Optimizing Population Care in a Resource-limited EnvironmentR18HS018161 · AHRQ · MASSACHUSETTS GENERAL HOSPITAL · PI ATLAS, STEVEN J · 2009 to 2011
$1.2M
Breast Cancer Screening and Follow-up in a PBRN: The Ma*R21CA121908 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BARRY, MICHAEL J · 2006 to 2007
$359k
AHRQ HHS R18 HS018161NCI NIH HHS 1 R21 CA121908NCI NIH HHS R21 CA121908
6 · The paper itself

Abstract

objectivesTo assess the ability of a health information technology system to facilitate population- based breast cancer screening. STUDY

designCohort study with 2-year follow-up after a 1-year cluster randomized trial.

methodsStudy population was women 42 to 69 years old receiving care within a 12-practice primary care network. The management informatics system (1) identified women overdue for mammograms, (2) connected them to primary care providers using a web-based tool, (3) created automatically generated outreach letters for patients specified by providers, (4) monitored for subsequent mammography scheduling and completion, and (5) provided practice delegates with a list of women remaining unscreened for reminder phone calls. Eligible women overdue for a mammogram during a 1-year study period included those overdue at study start (prevalent cohort) and those who became overdue during follow-up (incident cohort). The main outcome measure was mammography completion rates over 3 years.

resultsAmong 32,688 eligible women, 9795 (30%) were overdue for screening (4487 intervention, 5308 control). Intervention patients were somewhat younger, more likely to be non-Hispanic white, and more likely to have health insurance compared with control patients. Adjusted completion rates in the prevalent cohort (n = 6697) were significantly higher among intervention patients after 3 years (51.7% vs 45.8%; P = .002). For patients in the incident cohort (n = 3098), adjusted completion rates after 2 years were 53.8% versus 48.7%, respectively (P = .052).

conclusionsPopulation-based informatics systems can enable sustained increases in mammography screening rates beyond rates seen with office-based visit reminders.

Indexed as

Reminder SystemsAdultAgedBreast NeoplasmsEarly Detection of CancerFemaleHumansInformation SystemsMammographyMiddle Aged

Identifiers

PMID23286611
PMCPMC3766952

What OpenQuestion holds

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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.