Evidence map›Paper›PMID 20931294›Full record

Trial reportJournal of general internal medicine2011

Patient navigation to increase mammography screening among inner city women.

Christine E Phillips, Jessica D Rothstein, Kristine Beaver, Bonnie J Sherman, Karen M Freund, Tracy A Battaglia

Registry-linked trialAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

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 NCT05527392 (Assessing the Effect of Virtual Navigation Interventions to Improve Health Insurance Literacy and Decrease Financial Burden), which is not on this map. Cited by 84 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 10 pooled it
–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.

NCT05527392 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Assessing the Effect of Virtual Navigation Interventions to Improve Health Insurance Literacy and Decrease Financial Burden: A Childhood Cancer Survivor Study Randomized Trial (HINTII)

TypeinterventionalSponsorMassachusetts General HospitalRan2023 to 2027Enrolled529ConditionsChildhood Cancer SurvivorsArmsHealth Insurance Navigation Tools Program
3 · Its place in the literature

Who cites it

84 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Application of patient navigation programs across the entire continuum of breast cancer care: a GRADE-assessed systematic review with meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  13. Effect of Patient Navigation on Completion of Lung Cancer Screening in Vulnerable Populations.Journal of the National Comprehensive Cancer Network : JNCCN · 2024
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  17. Can patient navigation improve receipt of recommended breast cancer care? Evidence from the National Patient Navigation Research Program.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2014
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  18. Improving mammography screening among the medically underserved.Journal of general internal medicine · 2014
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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Christine E PhillipsWomen's Health Unit, Section of General Internal Medicine, Department of Medicine, and Women's Health Interdisciplinary Research Center, Boston University School of Medicine, Boston, MA, USA. chphilli@bmc.org
Jessica D Rothstein
Kristine Beaver
Bonnie J Sherman
Karen M Freund
Tracy A Battaglia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower mammography screening rates among minority and low income women contribute to increased morbidity and mortality from breast cancer.

objectiveTo evaluate the effect of a patient navigation intervention on adherence rates to biennial screening mammography among women engaged in primary care at an inner-city academic medical center.

designQuality improvement intervention with a concurrent control group, conducted from February to November of 2008. STUDY SUBJECTS: All women in a hospital-based primary care practice aged 51-70 years. Subjects were randomized at the level of their primary care provider, such that half of the patients in the practice received the intervention, while the other half received usual care.

interventionsIntervention subjects whose last mammogram was >18 months prior received a combination of telephone calls and reminder letters from patient navigators trained to identify barriers to care. Navigators were integrated into primary care teams and interacted directly with patients, providers, and radiology to coordinate care. Navigators utilized an electronic report to track subjects. Adherence rates to biennial mammography were assessed in intervention and control groups at baseline and post-intervention. KEY

resultsA total of 3,895 women were randomized to intervention (n = 1,817) and control (n = 2,078) groups. Mean age was 60, 71% were racial/ethnic minorities, 23% were non-English speaking, and 63% had public or no health insurance. At baseline, there was no difference in mammography adherence between the control and intervention groups (78%, respectively, p = 0.55). After the 9-month intervention, mammogram adherence was higher in the intervention group compared with the control group (87% vs. 76%, respectively, p < 0.001). Except among Hispanic women who demonstrated high rates in both the intervention and control groups (85% and 83%, respectively), all racial/ethnic and insurance groups demonstrated higher adherence in the intervention group.

conclusionsPatient navigation improves biennial mammography rates for inner city, low income, minority populations.

Indexed as

Urban PopulationAgedBreast NeoplasmsContinuity of Patient CareElectronic Health RecordsFemaleHealthcare DisparitiesHumansMammographyMass ScreeningMiddle AgedWomen

Identifiers

PMID20931294
PMCPMC3019333

What OpenQuestion holds

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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.