Trial reportJournal of general internal medicine2011
A cluster-randomized trial of a primary care informatics-based system for breast cancer screening.
Trial report in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00462891 (Breast Cancer Screening and Follow-Up in a PBRN), which is not on this map. Cited by 11 papers, 4 of them syntheses that pooled 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.
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.
Breast Cancer Screening and Follow-Up in a PBRN: The Mammography FastTrack Trial
Who cites it
11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care.The Cochrane database of systematic reviews · 2025Pooled it
- Primary care practice-based interventions and their effect on participation in population-based cancer screening programs: a systematic narrative review.Primary health care research & development · 2024Pooled it
- The impact of health information technology on cancer care across the continuum: a systematic review and meta-analysis.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- Email for clinical communication between healthcare professionals.The Cochrane database of systematic reviews · 2015Pooled it
- Population-based breast cancer screening in a primary care network.The American journal of managed care · 2012Trial
- Mining Electronic Health Records to Promote the Reach of Digital Interventions for Cancer Prevention Through Proactive Electronic Outreach: Protocol for the Mixed Methods OptiMine Study.JMIR research protocols · 2020Article
- 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 · 2016Article
- Racial differences in cancer screening with electronic health records and electronic preventive care reminders.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Use of health information technology to reduce diagnostic errors.BMJ quality & safety · 2013Review
- Role of practice-based research networks in comparative effectiveness research.Journal of comparative effectiveness research · 2012Review
- Cluster randomized trials of cancer screening interventions: are appropriate statistical methods being used?Contemporary clinical trials · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundInformation technology offers the promise, as yet unfulfilled, of delivering efficient, evidence-based health care.
objectiveTo evaluate whether a primary care network-based informatics intervention can improve breast cancer screening rates.
designCluster-randomized controlled trial of 12 primary care practices conducted from March 20, 2007 to March 19, 2008. PATIENTS: Women 42-69 years old with no record of a mammogram in the prior 2 years.
interventionsIn intervention practices, a population-based informatics system was implemented that: connected overdue patients to appropriate care providers, presented providers with a Web-based list of their overdue patients in a non-visit-based setting, and enabled "one-click" mammography ordering or documented deferral reasons. Patients selected for mammography received automatically generated letters and follow-up phone calls. All practices had electronic health record reminders about breast cancer screening available during clinical encounters. MAIN MEASURES: The primary outcome was the proportion of overdue women undergoing mammography at 1-year follow-up. KEY
resultsBaseline mammography rates in intervention and control practices did not differ (79.5% vs 79.3%, p = 0.73). Among 3,054 women in intervention practices and 3,676 women in control practices overdue for mammograms, intervention patients were somewhat younger, more likely to be non-Hispanic white, and have health insurance. Most intervention providers used the system (65 of 70 providers, 92.9%). Action was taken for 2,652 (86.8%) intervention patients [2,274 (74.5%) contacted and 378 (12.4%) deferred]. After 1 year, mammography rates were significantly higher in the intervention arm (31.4% vs 23.3% in control arm, p < 0.001 after adjustment for baseline differences; 8.1% absolute difference, 95% CI 5.1-11.2%). All demographic subgroups benefited from the intervention. Intervention patients completed screening sooner than control patients (p < 0.001).
conclusionsA novel population-based informatics system functioning as part of a non-visit-based care model increased mammography screening rates in intervention practices.
trial registrationClinicalTrials.gov; NCT00462891.
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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.