Evidence map›Paper›PMID 41617409›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2026

Identifying Patients with Breast Cancer History Using Epic Electronic Health Record.

Sarah J Fadem, Ayana April-Sanders, Alicja Bator, Jeanne Ferrante, Jenna Howard, Jennifer R Hemler, Kennedy Ganti, Shawna V Hudson, Benjamin F Crabtree, Denalee O'Malley

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sarah J FademFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO). sjf158@rwjms.rutgers.edu.
Ayana April-SandersFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Alicja BatorFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Jeanne FerranteFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Jenna HowardFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Jennifer R HemlerFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Kennedy GantiFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Shawna V HudsonFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Benjamin F CrabtreeFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).
Denalee O'MalleyFrom the Department of Family Medicine and Community Health, Research Division, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ (SJF, AB, JF, JRH, SVH, BFC, DO); Department of Biostatistics & Epidemiology, Rutgers School of Public Health, New Brunswick, NJ (AA-S); RWJBarnabas Health, New Brunswick, NJ (KG); and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (SVH, BFC, DO).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIdentifying patients with a history of cancer in primary care remains a barrier to implementing optimal survivorship care.

methodsAs part of an intervention to support primary care practices to deliver breast cancer survivorship care, our team developed a process that uses electronic health record (EHR) reporting capabilities to systematically identify patients with breast cancer history. This intervention was fielded in 13 primary care practices in an integrated health system. End-user feedback throughout the intervention informed refinements of the procedure and provided insights into the appropriateness and feasibility of implementing this tool.

resultsPractice members were able to successfully generate reports that included lists of patients with a history of breast cancer at both the practice and clinician level. Feedback from those implementing the intervention led to refinements that included expanding users who could generate and access the reports to include nonphysicians and adding additional search criteria. DISCUSSION: Implementation of system-wide EHR reports and instruction of clinic champions on procedures to generate analytics of breast cancer survivors can facilitate informatics skill-building and enable primary care teams to engage in breast cancer survivorship care.

conclusionThis method of creating practice- and clinician-specific cancer survivor patient registries can be applied in other contexts to support the delivery of evidence-based survivorship care.

Indexed as

Breast NeoplasmsCancer SurvivorsElectronic Health RecordsPrimary Health CareFemaleHumansBreast CancerCancer SurvivorsElectronic Health RecordsHuman Centered DesignImplementation ScienceMedical InformaticsOrganizational ChangePrimary Health CareQuality ImprovementRegistry Data

Identifiers

PMID41617409
PMCPMC12978788

What OpenQuestion holds

Textmetadata
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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.